CN109544424B - Hospitalization supervision method based on biological feature recognition and related equipment - Google Patents
Hospitalization supervision method based on biological feature recognition and related equipment Download PDFInfo
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Abstract
The embodiment of the invention discloses a hospitalization supervision method and related equipment based on biological feature recognition, wherein the method comprises the following steps: and acquiring environment information of the environment where the user is located, detecting whether the environment information meets preset conditions, and outputting prompt information when the environment information is detected to meet the preset conditions. Further, the terminal can receive the check-in information input by the user, compare the check-in information with the pre-stored check-in sample information, and determine that the user has a hanging-up behavior if the check-in information is not matched with the check-in sample information. By adopting the invention, the hanging bed behavior of the user can be detected, and the hospitalization supervision of the user is realized.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a hospitalization supervision method based on biological feature recognition and related equipment.
Background
At present, the settlement of the basic medical insurance hospitalization cost in each medical insurance overall area in China mostly adopts a quota settlement mode under the restriction of total amount, namely, the medical insurance institution settles the hospitalization cost of the fixed point hospital in a per-person quota mode according to the number of hospitalization patients who are received and treated by the fixed point hospital. Therefore, the method effectively monitors the number of inpatients and the number of times of the fixed-point hospital treatment, ensures the standard use of the medical insurance overall fund, and is an important content of the medical insurance overall fund monitoring work under the current basic social insurance system in China.
In the process of supervising the medical insurance overall fund, the problems of false hospitalization or bed hanging of part of fixed-point hospitals are caused by fewer supervision staff, more supervision objects, difficult field examination and the like. Therefore, how to monitor hospitalization conditions, especially the hanging bed behavior, of the paramedics becomes an urgent problem to be solved.
Disclosure of Invention
The embodiment of the invention provides a hospitalization supervision method and relevant equipment based on biological feature recognition, which can monitor the hanging-up behavior of a user and realize the hospitalization supervision of the user.
In a first aspect, an embodiment of the present invention provides a method for supervising hospitalization based on biometric identification, the method comprising:
Collecting environment information of an environment where a user is located, and detecting whether the environment information meets preset conditions, wherein the environment information comprises time information and/or light intensity information, and the preset conditions comprise light intensity conditions and/or time conditions;
When the environment information is detected to meet the preset condition, outputting prompt information, wherein the prompt information is used for prompting the user to input sign-in information for sign-in, and the sign-in information comprises biological characteristic information and medical insurance card information of the user;
Receiving the check-in information input by the user, and comparing the check-in information with pre-stored check-in sample information;
and if the check-in information is not matched with the check-in sample information, determining that the user has a hanging bed behavior.
In one embodiment, the environmental information includes the light intensity information, the preset condition includes a light intensity condition, and the pre-stored disease information of the user may be further obtained from a database; analyzing the disease information to determine whether the user suffers from photophobic disease;
The specific implementation mode for collecting the environment information of the environment where the user is located and detecting whether the environment information meets the preset condition is as follows: if the user is determined to suffer from the photophobic diseases, collecting light intensity information of the environment where the user is located; detecting whether the light intensity indicated by the light intensity information is smaller than or equal to a preset light intensity threshold, and if so, determining that the environment information meets the light intensity condition.
In one embodiment, the environmental information includes the time information, the preset condition includes a time condition, and a pre-stored diagnosis and treatment plan of the user may be obtained from a database; the specific implementation mode for detecting whether the environment information meets the preset condition is as follows: analyzing the daily diagnosis and treatment plan, and if the analysis results in that the user is not in a diagnosis and treatment state under the target time, determining that the environment information meets the time condition, wherein the target time is the time indicated by the time information.
In an embodiment, the environment information includes the time information, and the specific implementation manner of detecting whether the environment information meets the preset condition is: acquiring the time information from the environment information, and detecting whether the time corresponding to the time information is the time indicated by a preset time rule; and if the time indicated by the preset time rule is the time indicated by the preset time rule, determining that the environmental information meets the time condition.
In one embodiment, the disease information of the user stored in advance can be obtained from a database, and the target disease suffered by the user can be determined according to the disease information; determining target biological characteristic information matched with the target disease from one or more preset biological characteristic information, and generating prompt information, wherein the prompt information is used for prompting the user to input sign-in information for sign-in, and the sign-in information comprises the target biological characteristic information and medical insurance card information of the user.
In one embodiment, the time and place corresponding to the hanging behavior may also be recorded, and a hanging tag may be added to the user, where the hanging tag is used to identify that the user has the hanging behavior, and the time and place corresponding to the hanging behavior.
In one embodiment, the medical insurance card information includes a medical insurance card identifier, and the medical insurance card identifier may be obtained from the medical insurance card information when the sign-in information is compared and obtained to be unmatched with the sign-in sample information; acquiring object information stored in advance in association with the medical insurance card identifier in a database, wherein the object information records the historical times of unmatched sign-in information of the user and sign-in sample information; the specific implementation mode of determining that the user has the hanging bed behavior is as follows: analyzing the object information, and determining whether the historical times of unmatched sign-in information and sign-in sample information of the user are larger than a preset time threshold; and if the historical times are larger than the preset times threshold, determining that the user has a bed hanging action.
In a second aspect, an embodiment of the present invention provides a biometric-based hospitalization monitoring device comprising means for performing the method of the first aspect described above.
In a third aspect, an embodiment of the present invention provides a terminal, where the terminal includes a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, where the memory is configured to store a computer program supporting the terminal to perform the method described above, and the computer program includes program instructions, and the processor is configured to invoke the program instructions to perform the method of the first aspect described above.
In a fourth aspect, embodiments of the present invention provide a computer readable storage medium storing a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of the first aspect described above.
In the embodiment of the invention, the terminal can collect the environmental information of the environment where the user is located, detect whether the environmental information meets the preset condition, and output the prompt information when the environmental information meets the preset condition. Further, the terminal can receive the check-in information input by the user, compare the check-in information with the pre-stored check-in sample information, and determine that the user has a hanging-up behavior if the check-in information is not matched with the check-in sample information. By adopting the invention, the hanging bed behavior of the user can be detected, and the hospitalization supervision of the user is realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a hospitalization supervision method based on biometric identification according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of another hospitalization supervision method based on biometric identification according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of another hospitalization supervision method based on biometric identification according to an embodiment of the present invention;
FIG. 4 is a schematic block diagram of a hospitalization monitoring device based on biometric identification provided by an embodiment of the present invention;
Fig. 5 is a schematic block diagram of a terminal according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The hanging bed behavior described in the invention is hanging bed hospitalization, and is also called false hospitalization. It is generally prescribed that the patient in a hospital or for more than three consecutive days can be called a bed hanging without a fee for diagnosis and treatment. For example, the patient is ill, the hospital can see that the patient takes care of medical insurance, then the patient is required to do various examinations, and finally the patient is recommended to be in hospital, and the hospital can pay most of the cost due to taking care of medical insurance, but the patient is not truly in hospital, still in home or on duty. Thus, the patient enjoys medical insurance reimbursement, and the hospital can also "collect" from the patient, which can be called a stake of "win-win" transaction for both sides of the doctor and patient.
However, at present, medical resources are relatively tense, particularly, in some big hospitals, sickbeds are tense, so that a patient who enjoys medical insurance is in hospital while taking a hospital, not only the medical resources are occupied, but also the medical insurance fund is wasted without end.
Therefore, in order to solve the above problems, the invention provides a hospitalization supervision method based on biological feature recognition, which is applied to a terminal, wherein the terminal can collect environmental information of an environment where a user is located, detect whether the environmental information meets preset conditions, and output prompt information when the environmental information meets the preset conditions. Further, the terminal can receive the check-in information input by the user, compare the check-in information with the pre-stored check-in sample information, and determine that the user has a hanging-up behavior if the check-in information is not matched with the check-in sample information. By adopting the invention, the hanging bed behavior of the user can be detected, and the hospitalization supervision of the user is realized.
The terminal can be terminal equipment deployed in a fixed-point hospital or a fixed-point area, wherein the terminal equipment is in communication connection with the hospitalization supervision platform or is a terminal corresponding to the hospitalization supervision platform; the system can also be a personal handheld terminal (such as a smart phone) of the user, wherein the handheld terminal is in communication connection with the hospitalization supervision platform, or is provided with an APP corresponding to the hospitalization supervision platform, or can directly log in a webpage corresponding to the hospitalization supervision platform, and the like. That is, the terminal and the hospitalization supervision platform can interact data. For example, the terminal may invoke its own light sensor to obtain light intensity information of the environment in which the user (i.e., the participating patient) is located; the user can also input own face information through the camera of the terminal, input own fingerprint information through the touch control area of the terminal (such as a home key of a mobile phone), and the like.
Referring to fig. 1, fig. 1 is a schematic flow chart of a hospitalization supervision method based on biometric identification according to an embodiment of the present invention, as shown in the drawing, the hospitalization supervision method based on biometric identification may include:
101. The terminal collects environment information of the environment where the user is located and detects whether the environment information meets preset conditions. The environment information comprises time information and/or light intensity information, and the preset condition comprises a light intensity condition and/or a time condition. The time information indicates the time (e.g., beijing time 09: 00) currently corresponding to the environment in which the user is located.
In one embodiment, the preset conditions may include a light intensity condition and a time condition. In this case, the developer may set that when both the light intensity condition and the time condition are satisfied, it is determined that the preset condition is satisfied. Illustratively, the preset conditions are: the light intensity of the environment where the user is located is greater than or equal to the preset light intensity threshold (namely, the light intensity condition), and the current time corresponding to the environment where the user is located is preset time (such as 10:00) (namely, the time condition), in this case, the terminal can analyze the collected environment information of the environment where the user is located, and on one hand, whether the light intensity indicated by the light intensity information in the environment information is greater than or equal to the preset light intensity threshold is detected; on the other hand, it is detected whether or not the time indicated by the time information in the environment information is equal to a preset time. Further, when the terminal detects that the light intensity indicated by the light intensity information is greater than or equal to the preset light intensity threshold value and the time indicated by the time information is equal to the preset time, it may be determined that the environmental information meets the preset condition.
In one embodiment, the preset condition may include any one of a light intensity condition and a time condition. For example, the preset condition includes a light intensity condition that the light intensity of the environment where the user is located is greater than or equal to a preset light intensity threshold. Under the condition, after the terminal collects the environment information of the environment where the user is located, the light intensity information can be analyzed from the environment information, whether the light intensity indicated by the light intensity information is larger than or equal to a preset light intensity threshold value is detected, and if the light intensity indicated by the light intensity information is larger than or equal to the preset light intensity threshold value, the environment information is determined to meet the preset condition.
For another example, the preset condition includes a time condition, where the current time corresponding to the environment where the user is located is a preset time (e.g. 10:00). In this case, after the terminal collects the environmental information of the environment where the user is located, the time information can be parsed from the environmental information, and whether the time indicated by the time information is equal to the preset time is detected, if so, it is determined that the environmental information meets the preset condition.
102. When the terminal detects that the environment information meets the preset condition, the terminal outputs prompt information, wherein the prompt information is used for prompting a user to input sign-in information for sign-in, and the sign-in information comprises biological characteristic information and medical insurance card information of the user.
The biological characteristic information is biological characteristic which can be used for uniquely identifying the identity of the user, such as face information, fingerprint information, iris information and the like of the user.
In one embodiment, the biometric information includes face information, and when the terminal detects that the environmental information meets a preset condition, the terminal may turn on the camera and output prompt information for prompting the user to enter the face information in the designated area so as to check in. For example, the prompt message may be "please move your face to a designated area for sign-in recognition".
In one embodiment, the biometric information includes fingerprint information, and when the terminal detects that the environmental information meets a preset condition, prompt information may be output, for prompting the user to enter the fingerprint information in the designated area, so as to check in. The designated area may be a display area of the terminal, or a home key corresponding to the terminal, etc.
103. The terminal receives the check-in information input by the user and compares the check-in information with the pre-stored check-in sample information.
104. If the terminal compares the check-in information with the check-in sample information, the user is determined to have the bed hanging action.
The sign-in information comprises biological characteristic information of a user and medical insurance card information, and the medical insurance card information comprises medical insurance card identification.
In one embodiment, when a participant (i.e., a user) is hospitalized in a hospital, the terminal enters medical insurance card sample information of the user, acquires biological sample characteristic information of the user, and further generates sign-in sample information according to the entered medical insurance card sample information and the acquired biological sample characteristic information of the user, and stores the sign-in sample information in a database. Under the condition, after receiving sign-in information input by a user, the terminal can acquire pre-stored sign-in sample information, and compare the first similarity between the medical insurance card sample information in the sign-in sample information and the medical insurance card information in the sign-in information, and if the similarity between the medical insurance card sample information and the medical insurance card information obtained by comparison is greater than or equal to a first preset similarity threshold value, then the medical insurance card sample information and the medical insurance card information are determined to be matched; and if the similarity between the medical insurance card sample information and the medical insurance card information obtained through comparison is smaller than a first preset similarity threshold value, determining that the medical insurance card sample information is not matched with the medical insurance card information. Further, the terminal compares the biological sample characteristic information in the check-in sample information with the biological characteristic information in the check-in information in a second similarity, and if the similarity between the biological sample characteristic information and the biological characteristic information obtained by comparison is greater than or equal to a second preset similarity threshold value, the biological characteristic information is determined to be matched with the biological sample characteristic information; if the similarity between the biological sample characteristic information and the biological sample characteristic information obtained through comparison is smaller than a second preset similarity threshold value, determining that the biological sample characteristic information and the biological sample characteristic information are not matched. Further, when any one of the medical insurance card information and the biological feature information is not matched, the terminal determines that the check-in information is not matched with the check-in sample information, and further determines that the user has a bed hanging action.
In one embodiment, after determining that the user has a hanging action, the terminal may record a time and a place corresponding to the hanging action, and add a hanging tag to the user, where the hanging tag is used to identify that the user has a hanging action, and the time and the place corresponding to the hanging action. In a specific implementation, after the terminal records the time and place corresponding to the hanging bed behavior, the hanging bed label can be generated according to the biological characteristic information input by the user, and the hanging bed label and the biological characteristic information are associated and stored in the database (namely, the hanging bed label is added to the user). By adopting the mode, when the user inputs the biological characteristic information again to check in, the terminal can identify the hanging tag, and execute the processing strategy corresponding to the hanging tag (such as outputting alarm information or prohibiting the check-in, etc.), thereby being beneficial to controlling the hanging risk of the user.
The preset time in the preset time condition can be set for all users in a unified way, or can be set differently according to different users. In one embodiment, the terminal may acquire hospitalization information of the user after detecting that the user handles registration of hospitalization in the fixed-point hospital, where the hospitalization information may include one or more of disease information corresponding to the user, hospitalization department, bed information, hospitalization room number, and daily diagnosis and treatment plan of the user. The terminal may divide the user into a first area and a second area according to the room number of the user, and set a first preset time for a first user corresponding to the first area and a second preset time for a second user corresponding to the second area. In this case, the terminal may determine a preset time corresponding to the user according to the hospitalization information of the user, acquire time information from the environment information, and determine that the environment information satisfies a preset time condition when detecting that the time corresponding to the time information is the preset time.
The preset time may be a fixed time point (e.g. 9 a.m. to 9 a.m. 30 a. each day), or may be dynamically adjusted based on a preset rule. In one embodiment, the environment information includes time information, and the terminal may acquire the time information from the environment information, detect whether the time corresponding to the time information is the time indicated by the preset time rule, and if the time is the time indicated by the preset time rule, determine that the environment information meets the time condition. The preset time rule may specify a user's daily check-in time (i.e., a preset time) or randomly set a user's daily check-in time. For example, monday check-in time is 9 am: 00, tuesday check-in time is 12:00, wednesday check-in time is 14:00 pm, and so on. By adopting the mode, the check-in time of the user can be dynamically adjusted, so that the user is prevented from checking in at fixed time every day and is not in the fraudulent signing behavior of a hospital at other times.
In the embodiment of the invention, the terminal can collect the environmental information of the environment where the user is located, detect whether the environmental information meets the preset condition, and output the prompt information when the environmental information meets the preset condition. Further, the terminal can receive the check-in information input by the user, compare the check-in information with the pre-stored check-in sample information, and determine that the user has a hanging-up behavior if the check-in information is not matched with the check-in sample information. By adopting the invention, the hanging bed behavior of the user can be detected, and the hospitalization supervision of the user is realized.
Referring to fig. 2, fig. 2 is a flow chart of another hospitalization supervision method based on biometric identification according to an embodiment of the present invention, where the method is applied to a terminal, and as shown in the drawing, the hospitalization supervision method based on biometric identification may include:
201. the terminal acquires pre-stored disease information of the user from the database.
The database can be a database corresponding to a hospital supervision system, or a database corresponding to a hospital management system of the fixed point hospital, and the terminal can acquire the disease information of the user from the database. Wherein the disease information indicates a disease name, a disease type, and the like of a disease suffered by the user.
In one embodiment, after a user registers for a hospital stay at a point of care, during the user's stay, the user's stay information is uploaded by the person at the point of care through a terminal to a stay administration system or a hospital management system of the point of care, which stores the user's stay information in a database. The hospitalization information can comprise one or more of disease information corresponding to the user, hospitalization departments, bed information, hospitalization room numbers and daily diagnosis and treatment plans of the user. In this case, the terminal may acquire the hospitalization information stored in advance in the hospitalization supervision system or the hospital management system of the fixed-point hospital itself, and parse the disease information of the user from the hospitalization information.
202. The terminal analyzes the disease information to determine whether the user suffers from photophobic disease.
203. And if the terminal determines that the user suffers from photophobic diseases, acquiring environment information of the environment in which the user is located, wherein the environment information comprises light intensity information of the environment in which the user is located.
204. And the terminal detects whether the light intensity indicated by the light intensity information is smaller than or equal to a preset light intensity threshold value, and if so, the terminal determines that the environment information meets the preset light intensity condition.
The photophobia disease may be, for example, a haemaggluting disease, also called porphyrin, and a patient suffering from the disease is afraid of seeing sunlight, and when the patient is exposed to sunlight, skin of the patient is soaked, and the skin is painful and glowing.
In one embodiment, the terminal may build a photophobic disease database in which various preset photophobic diseases are stored. In this case, the terminal may analyze the disease information of the user, determine the disease name of the disease suffered by the user, search in a preset photophobic disease database according to the disease name, and if the photophobic disease corresponding to the disease name is found, determine that the user suffers from the photophobic disease. Further, the terminal can start the light sensor to collect environment information of the environment where the user is located, the environment information comprises light intensity information of the environment where the user is located, whether the light intensity indicated by the light intensity information is smaller than or equal to a preset light intensity threshold value is detected, and if the light intensity indicated by the light intensity information is smaller than or equal to the preset light intensity threshold value, it is determined that the environment information meets preset light intensity conditions.
Illustratively, the preset photophobic diseases stored in the photophobic disease database include haustorium, and the preset light intensity threshold is I m. In this case, the terminal analyzes the disease information of the user, determines that the disease name of the disease suffered by the user is haustoria, searches a preset photophobia disease database according to the disease name, and determines that the user suffers from the photophobia disease if the search result shows that the disease corresponding to the disease name (i.e. haustoria) exists in the photophobia disease database. Further, the terminal starts the light sensor to collect environment information of the environment where the user is located, the environment information comprises light intensity information of the environment where the user is located, it is determined that the light intensity indicated by the light intensity information is I, I is compared with I m, it is determined that I is smaller than I m, and then it can be determined that the environment information meets preset light intensity conditions.
205. When the terminal detects that the environmental information meets the preset conditions, the terminal outputs prompt information, wherein the preset conditions comprise the preset light intensity conditions, the prompt information is used for prompting a user to input sign-in information for sign-in, and the sign-in information comprises biological characteristic information and medical insurance card information of the user.
206. The terminal receives the check-in information input by the user and compares the check-in information with the pre-stored check-in sample information.
207. If the terminal compares the check-in information with the check-in sample information, the user is determined to have the bed hanging action.
The specific implementation manner of step 205 to step 207 may be referred to the description of step 102 to step 104 in the above embodiment, and will not be repeated here.
In the embodiment of the invention, the terminal can acquire the pre-stored disease information of the user from the database, analyze the disease information, determine whether the user has the photophobic disease, and acquire the environment information of the environment where the user is located if the user is determined to have the photophobic disease, wherein the environment information comprises the light intensity information of the environment where the user is located. Further, the terminal detects whether the light intensity indicated by the light intensity information is smaller than or equal to a preset light intensity threshold value, if so, the environment information is determined to meet the preset light intensity condition, when the terminal detects that the environment information meets the preset condition, prompt information is output, the preset condition comprises the preset light intensity condition, the prompt information is used for prompting a user to input sign-in information for sign-in, and the sign-in information comprises biological characteristic information and medical insurance card information of the user. Further, the terminal receives the check-in information input by the user, compares the check-in information with the pre-stored check-in sample information, and determines that the user has a hanging-up behavior if the check-in information is not matched with the check-in sample information through the terminal comparison. By adopting the invention, the hanging bed behavior of the user can be detected, and the hospitalization supervision of the user is realized.
Referring to fig. 3, fig. 3 is a schematic flow chart of still another hospitalization supervision method based on biometric identification according to an embodiment of the present invention, where the method is applied to a terminal, and as shown in the drawing, the hospitalization supervision method based on biometric identification may include:
301. the terminal collects environment information of the environment where the user is located, and the environment information comprises time information.
302. The terminal acquires a pre-stored diagnosis and treatment plan of the user from the database.
The database can be a database corresponding to a hospital supervision system, or a database corresponding to a hospital management system of the fixed point hospital, and the terminal can acquire the disease information of the user from the database. Wherein the diagnosis and treatment plan indicates a diagnosis and treatment schedule of a certain day of the user, such as a period of 9:00-10:00 of 24 th 7 th 2018 for B-ultrasonic examination.
In one embodiment, after a user registers for a hospital stay at a point of care, during the user's stay, the user's stay information is uploaded by the person at the point of care through a terminal to a stay administration system or a hospital management system of the point of care, which stores the user's stay information in a database. The hospitalization information can comprise one or more of disease information corresponding to the user, hospitalization departments, bed information, hospitalization room numbers and diagnosis and treatment plans of the user. In this case, the terminal may acquire the pre-stored hospitalization information in the hospitalization supervision system or the hospital management system of the fixed-point hospital itself, and parse the diagnosis and treatment plan of the user from the hospitalization information.
303. And the terminal analyzes the diagnosis and treatment plan, and if the analysis results in that the user is not in a diagnosis and treatment state at the target time, the environment information is determined to meet the preset time condition, and the target time is the time indicated by the time information.
Illustratively, the target time (i.e., the current time of the environment in which the user is located) is 2018, 7, 24, 08:00, and the user's medical plan indicates that the user is performing a B-ultrasound examination during 2018, 7, 24, 9:00-10:00. In this case, the terminal analyzes the diagnosis and treatment plan of the user, and determines that the user is not in a diagnosis and treatment state in the target time 2018, 7, 24, 08:00, and the environmental information of the environment in which the user is located can meet the preset time condition.
304. When the terminal detects that the environmental information meets the preset conditions, the terminal outputs prompt information, wherein the preset conditions comprise the preset time conditions, the prompt information is used for prompting a user to input sign-in information for sign-in, and the sign-in information comprises biological characteristic information and medical insurance card information of the user.
305. The terminal receives the check-in information input by the user and compares the check-in information with the pre-stored check-in sample information.
306. If the terminal compares the check-in information with the check-in sample information, the user is determined to have the bed hanging action.
For a specific implementation manner of step 304 to step 306, reference may be made to the description of step 102 to step 104 in the above embodiment, which is not repeated here.
In one embodiment, the medical insurance card information includes a medical insurance card identifier, if the terminal compares the check-in information and the check-in sample information, the information (i.e. object information) of the mismatch can be recorded, and the information of the mismatch and the medical insurance card identifier are associated and stored in the database. Under the condition, when the terminal compares the check-in information with the check-in sample information, the medical insurance card identification can be obtained from the medical insurance card information, and the object information which is stored in advance in association with the medical insurance card identification is obtained in the database, wherein the object information records the history times of the mismatch of the check-in information of the user and the check-in sample information. Further, the terminal can analyze the object information to determine whether the historical times of unmatched user check-in information and check-in sample information are larger than a preset times threshold, and if the historical times are larger than the preset times threshold, the user is determined to have a bed hanging action.
Or if the terminal determines that the historical times of the mismatch between the user check-in information and the check-in sample information is not greater than the preset times threshold, the terminal can output prompt information for prompting the user that the times of the mismatch between the check-in information and the check-in sample information are too high and the reasons of the mismatch (such as medical insurance card mismatch). In this way, occasional mistakes by the user (e.g., mishandling of another person's medical insurance card) may be avoided, while determining that the user has bed hanging activity.
In one embodiment, if the terminal obtains that the sign-in sample information is not matched with the sign-in information, a historical sign-in record of the user can be obtained, if the historical sign-in record shows that the user does not have sign-out, sign-out or hanging-bed behaviors within a preset time range, the user can be not determined to have hanging-bed behaviors, and prompt information is output, wherein the prompt information is used for prompting a reason (such as a medical insurance card mismatch) that the sign-in information of the user is not matched. In this way, occasional mistakes by the user (e.g., mishandling of another person's medical insurance card) may be avoided, while determining that the user has bed hanging activity.
In one embodiment, before the terminal outputs the prompt information, the pre-stored disease information of the user may be further obtained from the database, a target disease suffered by the user is determined according to the disease information, target biological characteristic information matched with the target disease is determined from one or more preset biological characteristic information, and prompt information is generated, wherein the prompt information is used for prompting the user to input sign-in information for sign-in, and the sign-in information includes the target biological characteristic information and medical insurance card information of the user.
In one embodiment, the terminal may pre-establish correspondence between different diseases and biometric information, that is, disease 1 corresponds to biometric information 1 and disease 2 corresponds to biometric information 2. In this case, after the terminal determines the target disease suffered by the user according to the disease information, the terminal may determine the target biological feature information corresponding to the target disease according to the corresponding relationship between the different diseases and the biological feature information, so as to prompt the user to input the target biological feature information for sign-in.
For example, a certain user suffers from a severe facial burn, i.e. the identity of the user cannot be recognized by face recognition, and the biometric information corresponding to the severe facial burn is other biometric information (such as fingerprint information or iris information) except for the face information. In this case, the terminal determines that the target disease suffered by the user is a severe facial burn according to the disease information of the user, and can determine that the target biometric information corresponding to the severe facial burn is other biometric information except the facial information, and can output prompt information to prompt the user to input check-in information for checking in, wherein the check-in information comprises the other biometric information except the facial information and medical insurance card information of the user.
For another example, the terminal determines that the target disease suffered by the user is hand desquamation according to the disease information of the user, and can determine that the target biological characteristic information corresponding to the severe facial burn is other biological characteristic information except fingerprint information, and then can output prompt information to prompt the user to input check-in information for checking in, wherein the check-in information comprises the other biological characteristic information except fingerprint information and medical insurance card information of the user.
In the embodiment of the invention, after the terminal collects the environmental information of the environment where the user is located, the pre-stored diagnosis and treatment plan of the user can be obtained from the database, the diagnosis and treatment plan is analyzed, if the analysis results in that the user is not in a diagnosis and treatment state under the target time, the environment information is determined to meet the preset time condition, and the target time is the time indicated by the time information. Further, when the terminal detects that the environmental information meets the preset condition, the preset condition comprises the preset time condition, the prompt information is used for prompting the user to input sign-in information for sign-in, the sign-in information comprises biological characteristic information and medical insurance card information of the user, further, the terminal receives the sign-in information input by the user, compares the sign-in information with pre-stored sign-in sample information, and if the sign-in information is obtained by comparison and the sign-in sample information is not matched, the user is determined to have a hanging bed behavior. By adopting the invention, the hanging bed behavior of the user can be detected, and the hospitalization supervision of the user is realized.
The embodiment of the invention also provides a hospitalization supervision device based on the biological feature recognition, which comprises a module for executing the method described in the foregoing fig. 1 and 2 or fig. 3. Specifically, referring to fig. 4, a schematic block diagram of a hospitalization supervision apparatus based on biometric identification according to an embodiment of the present invention is provided. The hospitalization supervision device based on the biometric feature recognition of the embodiment includes:
An acquisition unit 40, configured to acquire environmental information of an environment in which a user is located, where the environmental information includes one or more of time information and light intensity information;
A processing unit 41, configured to detect whether the environmental information meets a preset condition, where the preset condition includes one or more of a light intensity condition and a time condition;
An output unit 42, configured to output prompt information when the processing unit 41 detects that the environmental information meets a preset condition, where the prompt information is used to prompt the user to input check-in information for checking in, and the check-in information includes biometric information and medical insurance card information of the user;
a receiving unit 43, configured to receive the check-in information input by the user;
The processing unit 41 is further configured to compare the check-in information with pre-stored check-in sample information;
the processing unit 41 is further configured to determine that the user has a hanging bed behavior if the check-in information obtained by the comparison of the comparison module is not matched with the check-in sample information.
In one embodiment, the environmental information includes the light intensity information, the preset condition includes a light intensity condition, and the processing unit 41 is further configured to: acquiring pre-stored disease information of the user from a database; analyzing the disease information to determine whether the user suffers from photophobic disease; if the user is determined to suffer from the photophobic diseases, collecting light intensity information of the environment where the user is located; detecting whether the light intensity indicated by the light intensity information is smaller than or equal to a preset light intensity threshold, and if so, determining that the environment information meets the light intensity condition.
In one embodiment, the environmental information includes the time information, the preset condition includes a time condition, and the processing unit 41 is further configured to obtain a pre-stored diagnosis and treatment plan of the user from a database; analyzing the daily diagnosis and treatment plan, and if the analysis results in that the user is not in a diagnosis and treatment state under the target time, determining that the environment information meets the time condition, wherein the target time is the time indicated by the time information.
In one embodiment, the environment information includes the time information, and the processing unit 41 is further configured to obtain the time information from the environment information, and detect whether a time corresponding to the time information is a time indicated by a preset time rule; and if the time indicated by the preset time rule is the time indicated by the preset time rule, determining that the environmental information meets the time condition.
In one embodiment, the processing unit 41 is further configured to obtain pre-stored disease information of the user from a database, and determine a target disease suffered by the user according to the disease information; determining target biological characteristic information matched with the target disease from one or more preset biological characteristic information, and generating prompt information, wherein the prompt information is used for prompting the user to input sign-in information for sign-in, and the sign-in information comprises the target biological characteristic information and medical insurance card information of the user.
In one embodiment, the processing unit 41 is further configured to record a time and a place corresponding to the hanging behavior, and add a hanging tag to the user, where the hanging tag is used to identify that the user has the hanging behavior, and the time and the place corresponding to the hanging behavior.
In one embodiment, the processing unit 41 is further configured to obtain the medical insurance card identifier from the medical insurance card information when the check-in information is not matched with the check-in sample information by comparing;
Acquiring object information stored in advance in association with the medical insurance card identifier in a database, wherein the object information records the historical times of unmatched sign-in information of the user and sign-in sample information;
Analyzing the object information, and determining whether the historical times of unmatched sign-in information and sign-in sample information of the user are larger than a preset time threshold; and if the historical times are larger than the preset times threshold, determining that the user has a bed hanging action.
It should be noted that, the functions of each functional unit of the hospitalization supervision apparatus based on biometric identification described in the embodiments of the present invention may be specifically implemented according to the method in the method embodiment described in fig. 1, fig. 2 or fig. 3, and the specific implementation process may refer to the relevant description of the method embodiment in fig. 1, fig. 2 or fig. 3, which is not repeated herein.
Referring to fig. 5, fig. 5 is a schematic block diagram of a terminal according to an embodiment of the present invention, and as shown in fig. 5, the terminal includes a processor 501, a memory 502, an input device 503, and an output device 504. The processor 501, memory 502, input device 503, and output device 504 may be connected by a bus or other means, such as by a bus connection in fig. 5 as shown in an embodiment of the present invention. The memory 502 is used for storing a computer program, the computer program comprising program instructions, and the processor 501 is used for executing the program instructions stored in the memory 502. Wherein the processor 501 is configured to invoke the program instruction execution: acquiring environmental information of an environment in which a user is located through an input device 503, and detecting whether the environmental information meets preset conditions, wherein the environmental information comprises time information and/or light intensity information, and the preset conditions comprise light intensity conditions and/or time conditions; when the environment information is detected to meet the preset condition, outputting prompt information through an output device 504, wherein the prompt information is used for prompting the user to input sign-in information for sign-in, and the sign-in information comprises biological characteristic information and medical insurance card information of the user; receiving the check-in information input by the user through an input device 503, and comparing the check-in information with pre-stored check-in sample information; and if the check-in information is not matched with the check-in sample information, determining that the user has a hanging bed behavior.
In one embodiment, the environmental information includes the light intensity information, the preset condition includes a light intensity condition, and the processor 501 is further configured to obtain pre-stored disease information of the user from a database; analyzing the disease information to determine whether the user suffers from photophobic disease; if the user is determined to suffer from the photophobic diseases, collecting light intensity information of the environment where the user is located; detecting whether the light intensity indicated by the light intensity information is smaller than or equal to a preset light intensity threshold, and if so, determining that the environment information meets the light intensity condition.
In one embodiment, the environmental information includes the time information, the preset condition includes a time condition, and the processor 501 is further configured to obtain a pre-stored diagnosis and treatment plan of the user from a database; analyzing the diagnosis and treatment plan, and if the analysis results in that the user is not in a diagnosis and treatment state under the target time, determining that the environment information meets the time condition, wherein the target time is the time indicated by the time information.
In one embodiment, the environment information includes the time information, the detecting whether the environment information meets a preset condition, the processor 501 is further configured to obtain the time information from the environment information, and detect whether a time corresponding to the time information is a time indicated by a preset time rule; and if the time indicated by the preset time rule is the time indicated by the preset time rule, determining that the environmental information meets the time condition.
In one embodiment, the processor 501 is further configured to obtain pre-stored disease information of the user from a database, and determine a target disease suffered by the user according to the disease information; determining target biological characteristic information matched with the target disease from one or more preset biological characteristic information, and generating prompt information, wherein the prompt information is used for prompting the user to input sign-in information for sign-in, and the sign-in information comprises the target biological characteristic information and medical insurance card information of the user.
In one embodiment, the processor 501 is further configured to record a time and a place corresponding to the hanging behavior, and add a hanging tag to the user, where the hanging tag is used to identify that the user has the hanging behavior, and the time and the place corresponding to the hanging behavior.
In one embodiment, the medical insurance card information includes a medical insurance card identifier, and the processor 501 is further configured to obtain the medical insurance card identifier from the medical insurance card information when the sign-in information is obtained by comparing and does not match with the sign-in sample information; acquiring object information stored in advance in association with the medical insurance card identifier in a database, wherein the object information records the historical times of unmatched sign-in information of the user and sign-in sample information; analyzing the object information, and determining whether the historical times of unmatched sign-in information and sign-in sample information of the user are larger than a preset time threshold; and if the historical times are larger than the preset times threshold, determining that the user has a bed hanging action.
It should be appreciated that in embodiments of the present invention, the Processor 501 may be a central processing unit (Central Processing Unit, CPU), the Processor 501 may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL processors, DSPs), application SPECIFIC INTEGRATED Circuits (ASICs), off-the-shelf Programmable gate arrays (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 502 may include read only memory and random access memory and provide instructions and data to the processor 501. A portion of memory 502 may also include non-volatile random access memory. For example, the memory 502 may also store information of device type.
The input device 503 may include a touch pad, a fingerprint sensor, (for collecting fingerprint information of a user and direction information of a fingerprint), a microphone, a physical keyboard, etc., and the output device 504 may include a display (LCD, etc.), a speaker, etc.
In a specific implementation, the processor 501, the memory 502, the input device 503 and the output device 504 described in the embodiments of the present invention may execute the implementation described in the method embodiments of fig. 1, fig. 2 or fig. 3 provided in the embodiments of the present invention, and may also execute the implementation of the hospitalization supervision device based on biometric identification described in the embodiments of the present invention, which is not described herein again.
In another embodiment of the present invention, there is provided a computer-readable storage medium storing a computer program comprising program instructions that when executed by a processor implement: collecting environment information of an environment where a user is located, and detecting whether the environment information meets preset conditions, wherein the environment information comprises time information and/or light intensity information, and the preset conditions comprise light intensity conditions and/or time conditions; when the environment information is detected to meet the preset condition, outputting prompt information, wherein the prompt information is used for prompting the user to input sign-in information for sign-in, and the sign-in information comprises biological characteristic information and medical insurance card information of the user; receiving the check-in information input by the user, and comparing the check-in information with pre-stored check-in sample information; and if the check-in information is not matched with the check-in sample information, determining that the user has a hanging bed behavior.
The computer readable storage medium may be an internal storage unit of the terminal according to any of the foregoing embodiments, for example, a hard disk or a memory of the terminal. The computer readable storage medium may also be an external storage device of the terminal, such as a plug-in hard disk, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD), or the like, which are provided on the terminal. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the terminal. The computer-readable storage medium is used to store the computer program and other programs and data required by the terminal. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random-access Memory (Random Access Memory, RAM), or the like.
The above disclosure is only a few examples of the present invention, and it is not intended to limit the scope of the present invention, but it is understood by those skilled in the art that all or a part of the above embodiments may be implemented and equivalents thereof may be modified according to the scope of the present invention.
Claims (7)
1. A hospitalization supervision method based on biometric identification, the method being applied to a terminal, comprising:
Collecting environment information of an environment where a user is located, and detecting whether the environment information meets preset conditions, wherein the environment information comprises time information and light intensity information, and the preset conditions comprise light intensity conditions and time conditions;
When the environment information is detected to meet the preset condition, outputting prompt information, wherein the prompt information is used for prompting the user to input sign-in information for sign-in, and the sign-in information comprises biological characteristic information and medical insurance card information of the user;
Receiving the check-in information input by the user, and comparing the check-in information with pre-stored check-in sample information;
If the check-in information is not matched with the check-in sample information, determining that the user has a bed hanging action;
The method further comprises the steps of:
Acquiring pre-stored disease information of the user from a database;
analyzing the disease information to determine whether the user suffers from photophobic disease;
acquiring a pre-stored diagnosis and treatment plan of the user from a database;
Wherein, the detecting whether the environmental information meets a preset condition includes:
If the user is determined to suffer from the photophobic diseases, collecting light intensity information of the environment where the user is located; detecting whether the light intensity indicated by the light intensity information is smaller than or equal to a preset light intensity threshold value, and if so, determining that the environment information meets the light intensity condition;
Analyzing the diagnosis and treatment plan, and if the analysis results in that the user is not in a diagnosis and treatment state at the target time, determining that the environment information meets the time condition, wherein the target time is the time indicated by the time information; or acquiring the time information from the environment information, detecting whether the time corresponding to the time information is the time indicated by a preset time rule, and if so, determining that the environment information meets the time condition.
2. The method of claim 1, wherein prior to outputting the alert message, the method further comprises:
acquiring prestored disease information of the user from a database, and determining a target disease suffered by the user according to the disease information;
Determining target biological characteristic information matched with the target disease from one or more preset biological characteristic information, and generating prompt information, wherein the prompt information is used for prompting the user to input sign-in information for sign-in, and the sign-in information comprises the target biological characteristic information and medical insurance card information of the user.
3. The method of claim 1, wherein after the determining that the user has a bedtime activity, the method further comprises:
Recording time and place corresponding to the hanging bed behavior, and adding a hanging bed label for the user, wherein the hanging bed label is used for identifying the existence of the hanging bed behavior of the user and the time and place corresponding to the hanging bed behavior.
4. The method of claim 1, wherein the medical card information includes a medical card identifier, and wherein after comparing the check-in information with pre-stored check-in sample information, the method further comprises:
When the check-in information is not matched with the check-in sample information, acquiring the medical insurance card identifier from the medical insurance card information;
Acquiring object information stored in advance in association with the medical insurance card identifier in a database, wherein the object information records the historical times of unmatched sign-in information of the user and sign-in sample information;
wherein the determining that the user has a hammock behavior includes:
analyzing the object information, and determining whether the historical times of unmatched sign-in information and sign-in sample information of the user are larger than a preset time threshold;
and if the historical times are larger than the preset times threshold, determining that the user has a bed hanging action.
5. A hospitalization supervision device based on biometric identification, comprising:
the system comprises an acquisition unit, a display unit and a display unit, wherein the acquisition unit is used for acquiring environment information of an environment where a user is located, and the environment information comprises time information and light intensity information;
the processing unit is used for detecting whether the environment information meets preset conditions or not, wherein the preset conditions comprise a light intensity condition and a time condition;
The output unit is used for outputting prompt information when the processing unit detects that the environment information meets preset conditions, wherein the prompt information is used for prompting the user to input sign-in information for sign-in, and the sign-in information comprises biological characteristic information and medical insurance card information of the user;
the receiving unit is used for receiving the sign-in information input by the user;
The processing unit is further used for comparing the check-in information with pre-stored check-in sample information;
The processing unit is further used for determining that the user has a bed hanging action if the check-in information is not matched with the check-in sample information through comparison of the comparison module;
The processing unit is also used for acquiring prestored disease information of the user from a database; analyzing the disease information to determine whether the user suffers from photophobic disease; acquiring a pre-stored diagnosis and treatment plan of the user from a database;
the processing unit detects whether the environmental information meets a preset condition, and is specifically configured to:
If the user is determined to suffer from the photophobic diseases, collecting light intensity information of the environment where the user is located; detecting whether the light intensity indicated by the light intensity information is smaller than or equal to a preset light intensity threshold value, and if so, determining that the environment information meets the light intensity condition;
Analyzing the diagnosis and treatment plan, and if the analysis results in that the user is not in a diagnosis and treatment state at the target time, determining that the environment information meets the time condition, wherein the target time is the time indicated by the time information; or acquiring the time information from the environment information, detecting whether the time corresponding to the time information is the time indicated by a preset time rule, and if so, determining that the environment information meets the time condition.
6. A terminal comprising a processor and a memory, the processor and the memory being interconnected, wherein the memory is adapted to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the method of any of claims 1-4.
7. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program comprising program instructions which, when executed by a processor, cause the processor to perform the method of any of claims 1-4.
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| CN112398838B (en) * | 2020-11-06 | 2022-09-23 | 支付宝(杭州)信息技术有限公司 | Authentication method, device, equipment and storage medium based on privacy protection |
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