CN110911010A - Diagnosis and treatment scheme generation method, electronic equipment and computer-readable storage medium - Google Patents
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Abstract
The invention provides a diagnosis and treatment scheme generation method, electronic equipment and a computer-readable storage medium. The method for generating the diagnosis and treatment scheme comprises the following steps: acquiring medical record information of a patient, and acquiring a diagnosis result and a corresponding diagnosis and treatment scheme according to the medical record information; and displaying the diagnosis result and the diagnosis and treatment scheme. The invention automatically analyzes the possible result related to the medical record information according to the medical record information of the patient, and provides the possible diagnosis result and the diagnosis and treatment scheme for the reference of the doctor, thereby improving the grasp of the doctor, particularly the doctor with short experience, on the illness state of the patient and promoting the treatment process of the patient.
Description
Technical Field
The present invention relates to the medical field, and in particular, to a method for generating a diagnosis and treatment plan, an electronic device, and a computer-readable storage medium.
Background
After a patient suffers from a disease, the patient is generally examined according to the arrangement of a doctor, and during the period that the examination is not completed and the follow-up condition is continuously developed, the diagnosis and treatment scheme of the patient by the doctor gradually changes from fuzzy to clear and is determined from various possibilities to relative determination. For experts with abundant clinical experience, the process can be accurately deduced and finally confirmed, but the method has great difficulty for first-order doctors, and the patients need to know the conditions of the patients urgently in the disease diagnosis and treatment process, so that the method has great significance for comprehensively predicting and timely feeding back the disease diagnosis and treatment process of the patients.
Disclosure of Invention
The invention mainly aims to provide a diagnosis and treatment scheme generation method, electronic equipment and a computer readable storage medium, and aims to solve the problems that the existing artificial intelligence diagnosis technology does not integrate a progressive medical process and cannot help doctors and patients to give conclusions at any node of a patient medical process and promote the patient diagnosis and treatment process.
In order to achieve the purpose, the invention provides a diagnosis and treatment scheme generation method, which comprises the following steps:
acquiring medical record information generated in the disease diagnosis and treatment process of a patient, and analyzing according to the medical record information to obtain diagnosis result data and corresponding diagnosis and treatment scheme data;
and displaying the diagnosis result data and the diagnosis and treatment scheme data.
Optionally, the step of obtaining diagnosis result data and corresponding diagnosis and treatment plan data according to the medical record information includes:
acquiring disease characteristic parameters of the medical record information;
acquiring the diagnosis result data according to the disease characteristic parameters;
and matching the corresponding diagnosis and treatment scheme data according to the diagnosis result data.
Optionally, the step of obtaining the diagnosis result data according to the disease characteristic parameter includes:
converting the disease characteristic parameters into a system language;
and acquiring the corresponding diagnosis result data according to the system language and calculating the matching value of the diagnosis result data.
Optionally, after the step of obtaining the corresponding diagnosis result data according to the system language and calculating the matching value of the diagnosis result data, the method further includes:
and sequencing and displaying the diagnosis result data according to the matching value.
Optionally, the method for generating a diagnosis and treatment plan further includes:
acquiring a pre-stored comprehensive diagnosis result of the medical record information and a corresponding comprehensive diagnosis and treatment scheme thereof;
comparing the comprehensive diagnosis result with the diagnosis result data, and comparing the comprehensive diagnosis and treatment scheme with the diagnosis and treatment scheme data to obtain a first comparison result;
and obtaining a first diagnosis evaluation report according to the first comparison result.
Optionally, after the step of obtaining the comprehensive diagnosis result of the medical record information and the corresponding comprehensive diagnosis and treatment plan by the doctor, the method further includes:
and displaying the comprehensive diagnosis result and the corresponding comprehensive diagnosis and treatment scheme.
Optionally, the method for generating a diagnosis and treatment plan further includes:
searching a medical record report which has the same disease characteristic parameter with the medical record information;
comparing the diagnosis content of the medical record report with the diagnosis result data and the diagnosis and treatment scheme data to obtain a second comparison result;
and obtaining a second diagnosis evaluation report according to the second comparison result.
Optionally, after the step of searching for a medical record report having the same medical condition parameters as the medical record information, the method further includes:
and displaying the medical record report.
In order to achieve the above object, the present invention further provides an electronic device, which includes a memory, a processor, and a control program of a diagnosis and treatment plan generating method stored in the memory and executable on the processor, wherein the control program of the diagnosis and treatment plan generating method implements the steps of the diagnosis and treatment plan generating method when executed by the processor.
In order to achieve the above object, the present invention further provides a computer-readable storage medium, in which a control program of a medical treatment plan generation method is stored, and when the control program of the medical treatment plan generation method is executed by a processor, the steps of the medical treatment plan generation method are implemented.
According to the technical scheme, the medical record information of a patient is acquired, and diagnosis result data and corresponding diagnosis and treatment scheme data are acquired according to the medical record information; and displaying the diagnosis result data and the diagnosis and treatment scheme data. According to medical record information generated by a patient at any node in the disease diagnosis and treatment process, the possible results related to the medical record information are automatically analyzed, and possible diagnosis result data and diagnosis and treatment scheme data are provided for reference of a doctor, so that the diagnosis and treatment process of the patient is promoted.
Drawings
Fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a first embodiment of a diagnosis and treatment plan generating method according to the present invention;
fig. 3 is a flowchart illustrating a second embodiment of a diagnosis and treatment plan generating method according to the present invention;
fig. 4 is a flowchart illustrating a third embodiment of a diagnosis and treatment plan generating method according to the present invention;
fig. 5 is a schematic flow chart of a fourth embodiment of the diagnosis and treatment plan generating method according to the present invention;
fig. 6 is a schematic flow chart of a fifth embodiment of the diagnosis and treatment plan generating method according to the present invention;
fig. 7 is a flowchart illustrating a sixth embodiment of a diagnosis and treatment solution generating method according to the present invention;
fig. 8 is a flowchart illustrating a seventh embodiment of a diagnosis and treatment plan generating method according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that, if directional indications (such as up, down, left, right, front, and back) are involved in the embodiment of the present invention, the directional indications are only used for explaining the relative positional relationship, the motion situation, and the like between the components in a certain posture, and if the certain posture is changed, the directional indications are changed accordingly.
In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main solution of the embodiment of the invention is as follows: acquiring medical record information of a patient, and acquiring diagnosis result data and corresponding diagnosis and treatment scheme data according to the medical record information; and displaying the diagnosis result data and the diagnosis and treatment scheme data.
In the prior art, patients cannot obtain comprehensive guidance and feedback opinions in the disease diagnosis and treatment process.
The invention provides a diagnosis and treatment scheme generation method, which comprises the following steps: acquiring medical record information of a patient, and acquiring diagnosis result data and corresponding diagnosis and treatment scheme data according to the medical record information; and displaying the diagnosis result data and the diagnosis and treatment scheme data. The technical problem that an existing disease analysis system cannot provide comprehensive guidance and feedback opinions for a patient in a disease diagnosis and treatment process is solved.
As shown in fig. 1, fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention.
The terminal of the embodiment of the invention can be a computer, and can also be electronic equipment with a display screen, such as a tablet computer.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard priority interface, a wireless interface (e.g., a WiFi interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a computer-readable storage medium, may include therein programs of an operating system, a network communication module, and a diagnosis plan generation method.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; the processor 1001 may be configured to call a program of a diagnosis and treatment plan generation method stored in the memory 1005, and perform the following operations:
acquiring medical record information generated in the disease diagnosis and treatment process of a patient, and analyzing according to the medical record information to obtain diagnosis result data and corresponding diagnosis and treatment scheme data;
and displaying the diagnosis result data and the diagnosis and treatment scheme data.
Further, the processor 1001 may call a program of a diagnosis and treatment plan generation method stored in the memory 1005, and further perform the following operations:
acquiring disease characteristic parameters of the medical record information;
acquiring the diagnosis result data according to the disease characteristic parameters;
and matching the corresponding diagnosis and treatment scheme data according to the diagnosis result data.
Further, the processor 1001 may call a program of a diagnosis and treatment plan generation method stored in the memory 1005, and further perform the following operations:
converting the disease characteristic parameters into a system language;
and acquiring the corresponding diagnosis result data according to the system language and calculating the matching value of the diagnosis result data.
Further, the processor 1001 may call a program of a diagnosis and treatment plan generation method stored in the memory 1005, and further perform the following operations:
and sequencing and displaying the diagnosis result data according to the matching value.
Further, the processor 1001 may call a program of a diagnosis and treatment plan generation method stored in the memory 1005, and further perform the following operations:
acquiring a pre-stored comprehensive diagnosis result of the medical record information and a corresponding comprehensive diagnosis and treatment scheme thereof;
comparing the comprehensive diagnosis result with the diagnosis result data, and comparing the comprehensive diagnosis and treatment scheme with the diagnosis and treatment scheme data to obtain a first comparison result;
and obtaining a first diagnosis evaluation report according to the first comparison result.
Further, the processor 1001 may call a program of a diagnosis and treatment plan generation method stored in the memory 1005, and further perform the following operations:
and displaying the comprehensive diagnosis result and the corresponding comprehensive diagnosis and treatment scheme.
Further, the processor 1001 may call a program of a diagnosis and treatment plan generation method stored in the memory 1005, and further perform the following operations:
searching a medical record report which has the same disease characteristic parameter with the medical record information;
comparing the diagnosis content of the medical record report with the diagnosis result data and the diagnosis and treatment scheme data to obtain a second comparison result;
and obtaining a second diagnosis evaluation report according to the second comparison result.
Further, the processor 1001 may call a program of a diagnosis and treatment plan generation method stored in the memory 1005, and further perform the following operations:
and displaying the medical record report.
Based on the hardware architecture, the embodiment of the diagnosis and treatment scheme generation method is provided.
Referring to fig. 2, fig. 2 is a first embodiment of a diagnosis and treatment plan generating method according to the present invention, which includes the steps of:
step S10, acquiring medical record information generated in the disease diagnosis and treatment process of a patient, and analyzing according to the medical record information to obtain diagnosis result data and corresponding diagnosis and treatment scheme data;
in this embodiment, the system first acquires medical record information generated during a disease diagnosis and treatment process of a patient, and then analyzes the acquired medical record information to obtain diagnosis result data and corresponding diagnosis and treatment scheme data. Because the medical record information is continuously updated along with the disease diagnosis and treatment process of the patient, after any node of the patient diagnosis and treatment process obtains new medical record information, the system can obtain new diagnosis result data and corresponding diagnosis and treatment scheme data according to the latest medical record information, and therefore the gradual analysis of the medical record information generated in the disease diagnosis and treatment process of the patient is achieved.
In this embodiment, the medical record information includes information reflecting the patient's condition, such as the examination and examination result of the patient, the physical examination of the patient, the past medical history, and the family history. Medical staff need to input the acquired diagnosis and treatment information of the patient into the system, the process has various implementation methods, and for the condition of inquiring the state of the patient, a doctor can input key information according to the content dictated by the state of the patient; for the condition that the patient provides the past medical record information, the doctor can input key information into the system after reading the contents of the past medical record, and can also input the past medical record information into the system in a scanning mode; the information generated in the examination and diagnosis process of the patient in the hospital using the system can be directly associated with the system, and the system automatically acquires all diagnosis and treatment information of the patient. The above manners of acquiring the diagnosis and treatment information also have other implementation manners, which cannot be exhaustive.
In this embodiment, a database built in the system stores various medical record information, and diagnosis result data and diagnosis and treatment plan data corresponding to the various medical record information, where the medical record information includes various diseases that may be clinically involved, and related parameter indexes, and the medical record information, the diagnosis result data, and the diagnosis and treatment plan data are continuously updated. In the process of inputting medical record information, diagnosis result data and corresponding diagnosis and treatment schemes, the system firstly converts data, parameters or conclusion opinions contained in the medical record information into standardized data and/or structured data which can be matched by the system, and then associates the diagnosis result and the corresponding diagnosis scheme with the standardized data and/or the structured data, so that the system calls the diagnosis result and the corresponding diagnosis scheme after acquiring the medical record information of a patient.
In this embodiment, after the system acquires medical record information of a patient, a program algorithm preset by the system identifies the acquired medical record information, converts data, parameters, or conclusion opinions included in the medical record information into standardized data and/or structured data that can be matched by the system, and then matches medical record information that is the same as the acquired medical record information from a database, thereby calling diagnosis result data and diagnosis and treatment scheme data corresponding to the medical record information.
In this embodiment, the medical record information may also include a partial diagnosis result, but the partial diagnosis result included in the medical record information is different from the diagnosis result obtained by analyzing according to the medical record information of the patient by the system, and the difference between the two is that the partial diagnosis result included in the medical record information is used as a part of the medical record information and can be used as a reference basis for analyzing the diagnosis result data by the system, that is, the diagnosis result data obtained by analyzing according to the medical record information of the patient by the system is comprehensive diagnosis result data obtained according to related data in the medical record information of the patient, and can also be directly used as the diagnosis result data. After the system acquires partial diagnosis results in the medical record information, the partial diagnosis results are processed through a program algorithm preset by the system to obtain diagnosis result data. The preset program algorithm of the system realizes the process of matching the diagnosis result data from the system database according to the medical record information of the patient. For example, if the medical record information contains the diagnosis results of the patient with hyperthyroidism and endocrine disturbance, the system can comprehensively analyze the standardized data and the structured data corresponding to the two diagnosis results and the standardized data and the structured data corresponding to other examination results to comprehensively evaluate the patient's condition to obtain comprehensive diagnosis result data, and the comprehensive diagnosis result data may contain the diagnosis results of the hyperthyroidism and the endocrine disturbance and may also be analyzed to obtain other diagnosis results. Therefore, the diagnosis result data in this embodiment is an evaluation result obtained by intelligently analyzing the acquired medical record information by the system, and comprehensively reflects the illness state of the patient.
In this embodiment, a program algorithm preset in the system performs intelligent analysis according to the acquired medical record information of the patient to obtain the diagnosis result data, and also analyzes the diagnosis and treatment plan data to obtain the diagnosis and treatment plan data for reference of the doctor.
And step S20, displaying the diagnosis result data and the diagnosis and treatment plan data.
In this embodiment, the terminal system displays the possible diagnosis results obtained through analysis and the diagnosis and treatment schemes corresponding to the diagnosis results through a display screen.
In the embodiment, the system automatically analyzes the possible results related to the medical record information according to the medical record information of the patient, and provides possible diagnosis results and diagnosis and treatment schemes for reference of doctors, so that the doctor, particularly the doctor with less experience, can grasp the illness state of the patient, and the treatment process of the patient is promoted.
Referring to fig. 3, fig. 3 is a second embodiment of the method for generating a diagnosis and treatment plan according to the present invention, and based on the first embodiment, step S10 includes:
step S11, acquiring disease characteristic parameters of the medical record information;
in this embodiment, the medical record information is composed of each of the disease condition characteristic parameters, the disease condition characteristic parameters include one or more of medical terms and indexes describing various disease conditions and numerical values reflecting the indexes, after medical staff or other relevant responsible staff input the medical record information of the patient into the system, the system calls a built-in information reading program to read the whole text of the medical record information, automatically identifies and extracts all the disease condition characteristic parameters capable of reflecting the disease conditions of the patient and included in the medical record information, and converts the disease condition characteristic parameters into standardized data and/or structured data capable of being matched by the system. For example, the medical history information of the patient includes examination and examination results of the patient, past medical history, family history, and related time information, and the like, wherein each index in the examination and examination results and its corresponding numerical value, medical history information, and the like are used as characteristic parameters of the disease.
Step S12, obtaining the diagnosis result data according to the disease characteristic parameters;
in this embodiment, after acquiring the disease characteristic parameters reflecting the patient's condition, the system converts the disease characteristic parameters into standardized data and/or structured data that can be matched by the system through a program algorithm preset by the system, and matches corresponding diagnosis result data from a database according to the standardized data and/or the structured data.
And step S13, matching the corresponding diagnosis and treatment plan data according to the diagnosis result.
In this embodiment, after the system calculates possible diagnosis result data according to the pathological feature parameters, since the diagnosis result data stored in the database has corresponding diagnosis and treatment plan data, the system may further match the corresponding diagnosis and treatment plan data from the built-in database according to the diagnosis result, where the diagnosis and treatment plan data includes examination items, treatment plans, and the like that are required to be performed by the patient in the next step. Further guidance and reference opinions are provided for the doctor.
In this embodiment, the program algorithm includes the information reading program.
In the embodiment, the system automatically matches a plurality of possible diagnosis results and diagnosis and treatment schemes according to medical record information of the patient, and is beneficial for doctors to make further diagnosis opinions and treatment methods.
Referring to fig. 4, fig. 4 is a third embodiment of the method for generating a diagnosis and treatment plan according to the present invention, and based on the second embodiment, step S12 includes:
step S121, converting the disease characteristic parameters into a system language;
and step S122, acquiring the corresponding diagnosis result data according to the system language and calculating a matching value of the diagnosis result data.
In this embodiment, after acquiring the disease characteristic parameters reflecting the patient's condition, the system converts the disease characteristic parameters into a system language that can be matched by the system, where the system language includes at least one of standardized data and structured data. The disease characteristic parameters comprise one or more of medical terms and indexes for describing various disease conditions and numerical values for reflecting various indexes, wherein various indexes and numerical values can be directly used as standardized data for identification, long sentences composed of characters and numerical values are extracted by the system through a programming language algorithm, the long sentences are disassembled into phrases for identification, and the phrases are converted into standardized data or structured data; for picture information such as medical images of patients, the system scans images, extracts key information of the images and converts the key information into standardized data or structured data which can be matched by the system.
In this embodiment, medical record information generated in the process of diagnosis and treatment of a patient may be repeated, or index data of different disease examinations may be the same, so that a disease characteristic parameter acquired by the system may be repeated, standardized data and/or structured data obtained by conversion may also be repeated, and the system may filter the repeated standardized data and/or structured data.
In this embodiment, the system performs one-to-one comparison between the converted standardized data and/or structured data and corresponding standardized data and/or structured data in the pre-stored diagnosis results, and matches the diagnosis results that satisfy a preset matching value. The matching value is a similarity value between the normalized data and/or the structured data converted by the system and the corresponding normalized data and/or the structured data in the pre-stored diagnosis result. The preset matching value is a determined value defined by the system for the matching value, and if the preset matching value is met, a pre-stored diagnosis result can be used as the diagnosis result data.
In this embodiment, the diagnosis result data is not limited to one type, that is, more than one type of pre-stored diagnosis results can be matched by the system, and when the pre-stored diagnosis results satisfy the preset matching value, the diagnosis result data can be used as possible diagnosis result data for the user to refer to.
And S123, sequencing and displaying the diagnosis result data according to the matching values.
In this embodiment, when there are a plurality of possible diagnostic result data, the system may sort the diagnostic result data according to the matching value. The doctor can check all the diagnosis results, and when the number of the diagnosis results calculated by the system is large, the doctor can set to display the diagnosis results of which the matching values are ranked in the front and the specified number.
Referring to fig. 5, fig. 5 shows a fourth embodiment of the method for generating a diagnosis and treatment plan according to the present invention, which further includes, after step S20, the steps of:
step S30, acquiring the pre-stored comprehensive diagnosis result of the medical record information and the corresponding comprehensive diagnosis and treatment scheme thereof;
in this embodiment, after the system calculates a plurality of possible diagnosis results and diagnosis and treatment plans according to medical record information of a patient, a doctor can provide a relevant comprehensive diagnosis result and a corresponding comprehensive diagnosis and treatment plan according to the same medical record information, and input the comprehensive diagnosis result and the corresponding comprehensive diagnosis and treatment plan into the system.
In this embodiment, as new medical record information content is continuously added to the patient during the treatment process, the related disease characteristic parameters change, after the system acquires the new disease characteristic parameters, new possible diagnosis results and corresponding diagnosis and treatment schemes can be calculated again according to the latest disease characteristic parameters, and a doctor can also enter the new comprehensive diagnosis results and the corresponding comprehensive diagnosis and treatment schemes according to the change of the medical record information of the patient, so that the evolution process corresponding to the patient diagnosis and treatment process is visually displayed.
Step S40, comparing the comprehensive diagnosis result with the diagnosis result data, and comparing the comprehensive diagnosis and treatment plan with the diagnosis and treatment plan data to obtain a first comparison result;
in this embodiment, the system compares the diagnosis result obtained by the system itself with the comprehensive diagnosis result, compares the diagnosis and treatment plan corresponding to the diagnosis result with the comprehensive diagnosis and treatment plan, and obtains a first comparison result after the diagnosis and treatment process of the patient is finished, where the first comparison result may be the diagnosis result obtained by the system each time in the diagnosis and treatment process of the patient, the comprehensive diagnosis result given by the corresponding diagnosis and treatment plan and the comprehensive diagnosis result given by the doctor, and the comparison result of the corresponding comprehensive diagnosis plan; or the final diagnosis result of the patient and the corresponding diagnosis and treatment plan can be compared with the comprehensive diagnosis result given by the doctor and the corresponding comprehensive diagnosis plan.
And step S50, obtaining a first diagnosis evaluation report according to the first comparison result.
In this embodiment, the first comparison result is registered and displayed visually in a text or a chart, so that a first diagnostic evaluation report can be obtained.
In this embodiment, the system generates a first diagnosis evaluation report according to the first comparison result, where the first diagnosis evaluation report reflects the similarity between the diagnosis result obtained from the patient in the process of admission to discharge and the corresponding diagnosis and treatment plan of the system and the comprehensive diagnosis and treatment result actually given by the doctor and the corresponding comprehensive diagnosis and treatment plan, that is, the consistency between the intelligent system and the human is evaluated.
Referring to fig. 6, fig. 6 shows a fifth embodiment of the method for generating a diagnosis and treatment plan according to the present invention, which further includes, after step S40, the steps of:
and step S60, displaying the comprehensive diagnosis result and the corresponding comprehensive diagnosis and treatment plan.
In this embodiment, the system performs visual display on the entered comprehensive diagnosis result, and synchronously displays the entered comprehensive diagnosis result and the diagnosis and treatment scheme with the diagnosis result and the treatment scheme automatically generated by the system, so that the user can refer to the diagnosis result and the treatment scheme obtained by simultaneously viewing the two modes.
In this embodiment, the system may list the entered comprehensive diagnosis result on the left or right side of the diagnosis result and diagnosis and treatment plan automatically generated by the system, or may trigger and display the comprehensive diagnosis result by setting a floating window and the like.
Referring to fig. 7, fig. 7 shows a sixth embodiment of the method for generating a diagnosis and treatment plan according to the present invention, which further includes, after step S20, the steps of:
step S70, searching a medical record report with the same disease parameters as the medical record information;
in this embodiment, the system may further search a database for a related medical record report according to the acquired disease characteristic parameter, and acquire the diagnosis content, the diagnosis result, and the diagnosis and treatment plan of the medical record report.
In this embodiment, the case report may be a case report that is manually completed before the diagnosis result data, or a case report that is obtained by analyzing the diagnosis result data and the diagnosis plan data by the intelligent system before the diagnosis result data.
Step S80, comparing the diagnosis content of the medical record report with the diagnosis result data and the diagnosis and treatment plan data to obtain a second comparison result;
in this embodiment, the system compares the diagnosis result and the diagnosis and treatment plan obtained by the system with the acquired medical record report content to obtain a second comparison result. The second comparison result comprises the diagnosis result calculated by the system each time in the diagnosis and treatment process of the patient and the similarity between the corresponding diagnosis and treatment scheme and the acquired medical record report, namely, the consistency evaluation is carried out on the analysis result of the intelligent system and the prior case.
And step S90, obtaining a second diagnosis evaluation report according to the second comparison result.
In this embodiment, the second comparison result is visually displayed in the form of characters, a chart, or the like, so that a second diagnosis and evaluation report can be obtained.
In this embodiment, the system generates a second diagnosis evaluation report according to the second comparison result, where the second diagnosis evaluation report reflects the similarity between the diagnosis result obtained by the system from the procedure of admitting to discharging the patient and the corresponding diagnosis and treatment plan and the diagnosis result and the diagnosis and treatment plan contained in the obtained medical record report of the similar patient, so as to reflect the accuracy of the diagnosis result automatically generated by the system and the corresponding diagnosis and treatment plan.
Referring to fig. 8, fig. 8 shows a seventh embodiment of the method for generating a diagnosis and treatment plan according to the present invention, which further includes, after step S80, the steps of:
and step S100, displaying the medical record report.
In this embodiment, the system performs visual display on medical record reports of similar patients, and displays the medical record reports and the diagnosis and treatment scheme automatically generated by the system in synchronization, so that a user can refer to the diagnosis results and the diagnosis and treatment scheme obtained by viewing the two modes at the same time.
In this embodiment, the system may list the contents of the case reports of similar patients on the left or right side of the diagnosis result and diagnosis and treatment plan automatically generated by the system, or may trigger and display the comprehensive diagnosis result by setting a floating window and the like.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be substantially or partially embodied in the form of a software product, which is stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling an electronic device (e.g. a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all modifications and equivalents of the present invention, which are made by the contents of the present specification and the accompanying drawings, or directly/indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A method for generating a diagnosis and treatment plan is characterized by comprising the following steps:
acquiring medical record information generated in the disease diagnosis and treatment process of a patient, and analyzing according to the medical record information to obtain diagnosis result data and corresponding diagnosis and treatment scheme data;
and displaying the diagnosis result data and the diagnosis and treatment scheme data.
2. The method for generating a clinical scenario according to claim 1, wherein the step of obtaining diagnosis result data and corresponding clinical scenario data according to the medical record information comprises:
acquiring disease characteristic parameters of the medical record information;
acquiring the diagnosis result data according to the disease characteristic parameters;
and matching the corresponding diagnosis and treatment scheme data according to the diagnosis result data.
3. The method for generating a diagnosis and treatment plan according to claim 2, wherein the step of obtaining the diagnosis result data according to the disease characteristic parameter includes:
converting the disease characteristic parameters into a system language;
and acquiring the corresponding diagnosis result data according to the system language and calculating the matching value of the diagnosis result data.
4. The diagnosis and treatment plan generating method according to claim 3, further comprising, after the steps of obtaining the corresponding diagnosis result data according to the system language and calculating the matching value of the diagnosis result data:
and sequencing and displaying the diagnosis result data according to the matching value.
5. The method for generating a clinical scenario of claim 1, further comprising:
acquiring a pre-stored comprehensive diagnosis result of the medical record information and a corresponding comprehensive diagnosis and treatment scheme thereof;
comparing the comprehensive diagnosis result with the diagnosis result data, and comparing the comprehensive diagnosis and treatment scheme with the diagnosis and treatment scheme data to obtain a first comparison result;
and obtaining a first diagnosis evaluation report according to the first comparison result.
6. The method for generating a diagnosis and treatment plan according to claim 5, further comprising, after the step of obtaining the comprehensive diagnosis result of the pre-stored medical record information and the corresponding comprehensive diagnosis and treatment plan:
and displaying the comprehensive diagnosis result and the corresponding comprehensive diagnosis and treatment scheme.
7. The method for generating a clinical scenario according to claim 2, further comprising:
searching other medical record reports with the same disease characteristic parameters with the medical record information;
comparing the diagnosis content of the medical record report with the diagnosis result data and the diagnosis and treatment scheme data to obtain a second comparison result;
and obtaining a second diagnosis evaluation report according to the second comparison result.
8. The method for generating a clinical scenario of claim 7, wherein after the step of searching for a medical record report having the same characteristic parameters of the disease as the medical record information, the method further comprises:
and displaying the medical record report.
9. An electronic device comprising a memory, a processor, and a control program of a medical treatment plan generating method stored in the memory and executable on the processor, wherein the control program of the medical treatment plan generating method realizes the steps of the medical treatment plan generating method according to any one of claims 1 to 8 when executed by the processor.
10. A computer-readable storage medium, wherein a control program of a medical plan generating method is stored thereon, and when executed by a processor, the control program of the medical plan generating method realizes the steps of the medical plan generating method according to any one of claims 1 to 8.
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