CN112037893A

CN112037893A - Automatic management method and system for number of people in hospital infection state at specified time point

Info

Publication number: CN112037893A
Application number: CN202010652528.2A
Authority: CN
Inventors: 林�建; 霍瑞; 陈春平
Original assignee: Hangzhou Xinglin Information Technology Co ltd
Current assignee: Hangzhou Xinglin Information Technology Co ltd
Priority date: 2020-07-08
Filing date: 2020-07-08
Publication date: 2020-12-04

Abstract

The utility model provides an automatic management method and system for the number of people in hospital infection state at a specified time point, which utilizes the information of the branch department, the information of the hospitalization process, the infection information, the selected statistical time, the department, the authority department of the user determined according to the identity information of the user, respectively determines the infection information of the non-operation part and the infection information of the operation part which occur before the statistical time point, and combines the infection information of the non-operation part and the infection information of the operation part to obtain the preliminary infection diagnosis information. Further, the infection diagnosis information that has been cured is screened and filtered to obtain the infection diagnosis information that does not include the cured case at last. The invention can automatically manage the number of people in the hospital infection state at the appointed time point according to the requirement, filter out the cured cases, and has strong practicability and high application value for the counted number of people in the hospital infection state.

Description

Automatic management method and system for number of people in hospital infection state at specified time point

Technical Field

The invention belongs to the technical field of hospital infection management, and particularly relates to an automatic management method and system for the number of people in hospital infection state at a specified time point.

Background

Nosocomial infections refer to infections acquired by hospitalized patients in the hospital, including both infections occurring during hospitalization and infections occurring after discharge; nosocomial infections fall into two categories: the first is exogenous infection, also called cross infection, which refers to infection that a patient or a worker receives in a hospital through daily diagnosis and treatment activities, contact between the patient and the patient or from a polluted environment, such as infection which is not endurable in operation; the other is endogenous infection, also called self-infection, which is the infection caused by the disturbance of normal flora in vivo, the activation of potential pathogenic bacteria in vivo, the displacement of resident microorganisms originally existing in the body cavity or body surface of a patient and the like in the process of receiving diagnosis and treatment because the resistance of the body of the patient is reduced due to diseases.

The number of patients in a hospital infection state at a given time point refers to the number of patients in a hospital infection state among all hospitalized patients at a given time point. The number of patients appeared at a point of time that neither healed before the statistical time point nor had nosocomial infections occurred after the statistical time. The statistics and reporting of hospital infection have great guiding significance for prevention, control and treatment of diseases, so a hospital infection system generally performs statistics and management on hospital infection, however, the existing hospital infection statistics generally performs statistics on all reported confirmed infection cases without considering the cure condition of hospital infection, the counted hospital infection may include cured infection, the statistical hospital infection data has low practical application value, and the existing statistical hospital infection cannot perform hospital infection management aiming at a specified time point.

The invention patent application with publication number CN 109461480 a discloses an incremental updating method for hospital infection data missing, which updates the missing value of hospital infection data, incrementally updates different characteristics according to the 'effective time range' of the data characteristics, and the updated sample set is suitable for analysis and modeling of hospital infection data. The beneficial effects are as follows: the method solves the problem of hospital infection data loss through incremental updating, and provides a method for classifying different characteristics according to an effective time range to solve the problem of different time effectiveness lengths of different characteristics.

Although the application mentioned above refers to acquiring hospital infection data by an incremental updating method, the acquired hospital infection data still includes cured infection, there is a problem that the practical application value of the statistical hospital infection data is small, and the hospital infection data cannot be used for hospital infection management at a specific time point. Therefore, how to effectively manage the number of the hospital infection patients at a given time point is a problem to be solved in the field.

Disclosure of Invention

The invention aims to provide a method and a system for automatically managing the number of people in a hospital infection state at a specified time point, aiming at the defects of the prior art. The invention can automatically manage the number of people in the hospital infection state at the appointed time point according to the requirement, filter out the cured cases, and has strong practicability and high application value for the counted number of people in the hospital infection state.

In order to achieve the purpose, the invention adopts the following technical scheme:

a method for automatically managing the number of people in a hospital infection state at a specified time point comprises the following steps:

s1, receiving the statistical time point and department selected by the user, and determining the authority department of the user according to the identity information of the user;

s2, collecting patient' S information B of the department transfer, judging whether there is a record of the department transfer that the time and the statistical time point are crossed, the department belongs to the right department and the selected department at the same time, if yes, executing step S3, if not, outputting the number of people in the hospital infection state as 0;

s3, acquiring infection information H of a patient, and dividing the infection information H into infection information H (a) Y confirmed by a user and infection information H (a) N not confirmed by examination;

s4, acquiring hospitalization process information A of the patient, and acquiring the hospitalization time and the discharge time of the patient based on the hospitalization process information, wherein the hospitalization time and the discharge time are jointly used as parameters g.MC2;

s5, acquiring infection information which is independent of a surgical site, infected in a hospital and the infection time of a patient in a hospital period in the infection information H (a) Y;

s6, dividing the infection information h (d) _ Y into infection information h (e) _ Y occurring before the statistical time point and infection information h (e) _ N occurring after the statistical time point based on the statistical time point;

s7, dividing the infection information H (a) Y into infection information H (b1) Y of a bound scalpel and infection information H (b1) N of an unbound scalpel;

s8, dividing the infection information H (b1) _ Y into operation part infection information H (c1) _ Y occurring before the statistical time point and operation part infection diagnosis records H (c1) _ N occurring after the statistical time point based on the statistical time point;

s9, merging the infection information H (e) Y and the infection information H (c1) Y to obtain infection diagnosis information H (f);

s10, dividing the infection diagnostic information h (f) into infection diagnostic information h (g) Y that was not cured before the statistical time point and infection diagnostic information h (g) N that was cured before the statistical time point, based on the statistical time point; outputting the number of persons in a hospital infection state based on the number of pieces recorded in the infection diagnosis information h (g) _ Y.

Further, the information of the branch department comprises the patient case number, the department, the time of entering the department and the time of leaving the department; the infection information comprises a patient case number, an infection department, infection time, an infection part, operation time, state, infection type, infection case identification, outcome and outcome time corresponding to the infection; the hospitalization information comprises the patient case number, the hospital admission department, the hospital admission time, the hospital discharge department and the hospital discharge time.

Further, the step S2 specifically includes:

s21, collecting the patient' S information B of the branch department, dividing the information B of the branch department into information B (a) Y of the branch department whose time is crossed with the statistical time point and information B (a) N of the branch department whose time is not crossed with the statistical time point;

s22, dividing the branch information B (a) _ Y into branch information B (b) _ Y of which the department belongs to the authority department and branch information B (b) _ N of which the department does not belong to the authority department based on the authority department;

s23, dividing the branch information B (b) _ Y into branch information B (c) _ Y of which the department belongs to the selected department and branch information B (c) _ N of which the department does not belong to the selected department based on the selected department;

s24, judging whether the branch information B (c) and Y has branch records, if yes, executing step S3, and if not, outputting that the number of people in the hospital infection state is 0.

Further, the step S5 specifically includes:

s51, dividing the infection information h (a) Y into infection information h (b) Y independent of the surgical site and infection information h (b) N related to the surgical site;

s52, dividing the infection information H (b) Y into nosocomial infection information H (c) Y and extramural infection information H (c) N;

s53, dividing the infection information h (c) Y into infection information h (d) Y with an infection time during patient hospitalization and infection information h (d) N with an infection time during patient hospitalization based on the parameter g.mc2.

Further, the step S10 includes:

acquiring 'returning' fields of all records in the infection diagnosis information H (f), if the 'returning' fields are empty, adding corresponding diagnosis records into H (g) _ Y, otherwise, further acquiring 'returning time' fields, judging whether the 'returning time' is before the statistical time point, if so, adding the corresponding diagnosis records into H (g) _ N, otherwise, adding the corresponding diagnosis records into H (g) _ Y.

The invention also provides an automatic management system for the number of people in the hospital infection state at the specified time point, which comprises the following steps:

the receiving module is used for receiving the statistical time point and the department selected by the user and determining the authority department of the user according to the identity information of the user;

the collection and judgment module is used for collecting the patient's branch information B, judging whether the branch information B has time crossed with the statistical time point and branch records of departments belonging to the authority department and the selected department at the same time, if so, calling the infection information first division module, and if not, outputting that the number of people in the hospital infection state is 0;

the first infection information dividing module is used for collecting infection information H of a patient, and dividing the infection information H into infection information H (a) Y confirmed by a user and infection information H (a) N not confirmed by examination;

the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring hospitalization process information A of a patient, acquiring the hospitalization time and the discharge time of the patient based on the hospitalization process information, and taking the hospitalization time and the discharge time as parameters g.MC2;

the infection information dividing module is used for acquiring the infection information which is irrelevant to the operation position, infected in a hospital and has the infection time during the hospitalization of the patient in the infection information H (a) _ Y;

an infection information determination module of a non-surgical site for dividing the infection information h (d) Y into infection information h (e) Y occurring before a statistical time point and infection information h (e) N occurring after the statistical time point based on the statistical time point;

the re-dividing module is used for dividing the infection information H (a) _ Y into infection information H (b1) _ Y of a bound scalpel and infection information H (b1) _ N of an unbound scalpel;

an infection information determination module of the surgical site for dividing the infection information H (b1) _ Y into surgical site infection information H (c1) _ Y occurring before the statistical time point and a surgical site infection diagnostic record H (c1) _ N occurring after the statistical time point, based on the statistical time point;

a merging module, configured to merge the infection information H (e) _ Y and the infection information H (c1) _ Y to obtain infection diagnosis information H (f);

an infection state person number determination module, configured to divide the infection diagnosis information h (f) into infection diagnosis information h (g) Y that is not cured before the statistical time point and infection diagnosis information h (g) N that is cured before the statistical time point, based on the statistical time point; outputting the number of persons in a hospital infection state based on the number of pieces recorded in the infection diagnosis information h (g) _ Y.

Further, the collecting and judging module specifically includes:

the first division module of the information of the branch department, is used for gathering the information B of the branch department of the patient, divide the information B of the branch department into the information B (a) Y of the branch department that time and said statistical time point cross and information B (a) N of the branch department that time and said statistical time point do not cross;

the department information second division module is used for dividing the department information B (a) _ Y into department information B (b) _ Y of which the department belongs to the authority department and department information B (b) _ N of which the department does not belong to the authority department based on the authority department;

the third division module of the department information is used for dividing the department information B (b) _ Y into the department information B (c) _ Y of which the department belongs to the selected department and the department information B (c) _ N of which the department does not belong to the selected department based on the selected department;

and the judging module is used for judging whether the branch information B (c) and Y (Y) has a branch record, if so, the first division module of the infection information is called, and if not, the number of people in the hospital infection state is output to be 0.

Further, the infection information partitioning module includes:

an infection information second division module for dividing the infection information h (a) Y into infection information h (b) Y unrelated to the surgical site and infection information h (b) N related to the surgical site;

the infection information third dividing module is used for dividing the infection information H (b) Y into infection information H (c) Y of nosocomial infection and infection information H (c) N of nosocomial infection;

and the infection information fourth dividing module is used for dividing the infection information H (c) Y into the infection information H (d) Y with the infection time during the hospitalization of the patient and the infection information H (d) N with the infection time not during the hospitalization of the patient based on the parameter g.MC2.

Further, the infection status person number determination module comprises:

The invention discloses a specific implementation mode of managing the number of people in a hospital infection state at a specified time point in detail, which utilizes the information of branch departments, the information of hospitalization process, the infection information, the selected statistical time, the department, the authority department of a user determined according to the identity information of the user, respectively determines the infection information of a non-operation part and the infection information of an operation part occurring before the statistical time point, and screens and filters the cured infection diagnosis information to obtain the infection diagnosis information which does not include the cured cases finally. The invention can automatically manage the number of people in hospital infection state at the appointed time point, and avoids the labor intensity of manual data statistics. The invention fully utilizes the infection time and the return time, realizes effective statistics according to the return condition, and has strong practicability and great application value for the counted number of people in the hospital infection state.

Drawings

FIG. 1 is a flowchart of an automatic management method for the number of people in a hospital infection state at a specific time point according to an embodiment;

FIG. 2 is a diagram of an automatic management system for the number of persons in a hospital infection state at a specific time point according to the second embodiment.

Detailed Description

The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.

It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.

The invention is further described with reference to the following drawings and specific examples, which are not intended to be limiting.

In the following examples, X (y) type specification:

x represents a data set of a certain type;

y represents a serial number used for distinguishing a front data set and a rear data set of the same type of data in different logic units;

x (y) represents a data set under different logical units for a certain type of data;

y represents a coincidence condition;

n represents nonconforming;

example one

As shown in fig. 1, the present embodiment proposes an automatic management method for the number of people in a hospital infection state at a specified time point, which includes:

the automatic management of the number of people in the hospital infection state at a specified time point is performed, and the number of people in the hospital infection state at the specified time point needs to be counted. The hospital infection state at a given time point needs to be satisfied: 1. the patient's stay in the hospital is within the statistical time frame. That is, the time period formed by the admission time and the discharge time of the patient is crossed with the statistical time; 2. patients present with nosocomial infections, and the time of infection is during hospitalization. Wherein the infection time of the surgical site infection is calculated as the surgical start time; 3. the patient is currently in a hospital infection state, and the specified statistical time point is between the infection time and the corresponding infection healing time; 4. the condition of the selection of the user is satisfied.

Therefore, the invention is used for automatically managing the number of people in the hospital infection state at the appointed time point, so that the user is required to select the corresponding time point, namely the user selects the corresponding statistical time point, and the hospital infection at the statistical time point is counted and searched. In addition, for hospital infection, the user usually manages the number of people in the infection state for a specific department, so the invention also provides the corresponding department besides counting the time. The hospital data has corresponding privacy, so that the statistics and management of the hospital data in the invention require a user to acquire corresponding data authority. The data authority of the user is associated with the corresponding identity information, so that the invention determines the authority department of the user according to the identity information of the operation user, and counts and manages the number of people in the infection state of the data in the authority department.

the branch information is used for recording the information of entering and leaving the department of each diagnosis and treatment department during the hospitalization period of the patient, and specifically comprises the patient case number, the department, the time of entering the department, the time of leaving the department and the like. For the branch information B, the invention firstly screens the branch information based on the statistical time point, the authority department and the selected department, and only if the corresponding branch record exists after screening, the patient in the hospital infection state is possible to exist. Therefore, when there is no branch record after screening, that is, there is no department that simultaneously satisfies the statistical time point, the authority department and the selected department requirement, the number of people who are in the hospital infection state is output to be 0, that is, there is no patient who is in the hospital infection state. The invention screens the branch information in turn based on the statistical time point, the authority department and the selected department, therefore, the step S2 specifically comprises:

the invention firstly screens the referral information B based on the statistical time point, wherein the B is the initial referral type data set of the corresponding patient. Y represents a qualified branch record, and N represents an unqualified branch record. The fact that the time is crossed with the counting time point means that the counting time point belongs to a time period when the patient is in the corresponding department, namely the counting time point is located between the time of entering the department and the time of leaving the department when the patient is in the corresponding department, and otherwise, the time is not crossed with the counting time point.

For example, the referral information B is:

patient's case number	Department's office	Time of entering the clinic	Time of delivery
				123456(1)	Neurology department	2019-01-01 00:00:12	2019-01-05 01:00:12
123456(1)	ICU	2019-01-05 01:00:12	2019-01-08 02:00:12
				123456(1)	Rehabilitation department	2019-01-08 02:00:12	2019-01-12 03:00:12

The statistical time point is [ 2019-01-0700: 00:00], then B (a) _ Y is:

patient's case number	Department's office	Time of entering the clinic	Time of delivery
				123456(1)	ICU	2019-01-05 01:00:12	2019-01-08 02:00:12
123456(1)	Rehabilitation department	2019-01-08 02:00:12	2019-01-12 03:00:12

B (a) N is:

patient's case number	Department's office	Time of entering the clinic	Time of delivery
				123456(1)	Neurology department	2019-01-01 00:00:12	2019-01-05 01:00:12

because the authority of each user is different, the invention screens the branch information B (a) Y based on the authority department room, so that the data operated by the user is adaptive to the corresponding authority. And comparing the 'department' field in the branch information with the authority department, and judging whether the 'department' field belongs to the scope of the authority department. The department information b (b) _ Y is a department record in a department belonging to the authority range managed by the user, and the department information b (b) _ N is a department record in a department not belonging to the authority range managed by the user.

For example, the rights department is: all departments, for the above b (a) _ Y, b (b) _ Y:

B (b) N is:

patient's case number

Department's office

Time of entering the clinic

Time of delivery

in the invention, the user can manage the number of people in the infection state aiming at a specific department, therefore, the invention screens the department information B (b) _ Y based on the selected department, so that the statistical and screened data is adaptive to the department selected by the user independently, and the user can select the corresponding data according to the requirement and count the cases in the hospital infection state of the specific department. And comparing the 'department' field in the branch information with the selected department, and judging whether the 'department' field belongs to the range of the selected department.

For example, the department selected by the user is ICU, and for b (b) _ Y, b (c) _ Y described above:

patient's case number	Department's office	Time of entering the clinic	Time of delivery
				123456(1)	ICU	2019-01-05 01:00:12	2019-01-08 02:00:12

B (c) N is:

Specifically, the invention judges according to the branch records B (c) _ Y, if the patient has records after the three steps, the operation is continued downwards, if the patient has no records, the operation is ended, and the result is 0.

the infection information is used for recording all specific conditions of infection of the patient, and specifically comprises the patient case number, an infection department, the infection time, the infection part, the operation time corresponding to the infection, the state, the infection type, the infection case identification, the outcome and the outcome time. Since there is some non-approved data in the infection information that does not need to be statistically filtered first. Therefore, the present invention first screens the acquired infection information H to select infection information that has been confirmed by the user.

Specifically, the invention firstly screens and divides the infection information H based on a 'status' field in the infection information, wherein the status field is 'confirmed', which indicates that the infection record has been confirmed by a user, and when the status field is 'excluded', which indicates that the infection record has not been checked and confirmed.

For example, the infection information H collected is:

then H (a) _ Y is:

h (a) N is:

the hospitalization process information is used for integrally recording the hospitalization process of the patient, and specifically comprises the patient case number, the hospital admission department, the hospital admission time, the hospital discharge department and the hospital discharge time. The method comprises the steps of firstly obtaining the hospitalization process information A of a patient, and further obtaining the relevant information of the fields of the admission time and the discharge time, wherein the relevant information is jointly used as the parameter g.MC2.

For example, hospitalization procedure information a is:

patient's case number	Admission department	Time of admission	Discharge department	Time of discharge
					123456(1)	Neurology department	2019-01-01 00:00:12	Rehabilitation department	2019-01-12 03:00:12

The obtained parameter g.mc2 is: [2019-01-0100:00:12,2019-01-1203:00:12].

in the present invention, the acquired infection information h (a) Y is screened to select infection information that is not related to the surgical site, is infected in a hospital, and has an infection time during which the patient is hospitalized, and therefore, step S5 specifically includes:

because the infection time of the operation is calculated by the operation starting time causing the infection, the invention screens and divides the infection information H (a) Y based on the field of 'infection corresponding operation time' in the infection information, when the field of 'infection corresponding operation time' comprises corresponding operation time information, the infection record is related to the hand infection, and when the field of 'infection corresponding operation time' does not comprise corresponding operation time information, the infection record is unrelated to the operation position. The infection information not related to the surgical site is h (b) Y, and the infection information related to surgical infection is h (b) N.

For H (a) Y, H (b) Y mentioned above:

h (b) N is:

the infection information includes nosocomial and extramural infection information, and extramural infection is not required to be calculated. Therefore, the invention screens and divides the infection information H (b) Y based on the type field in the infection information, when the type field is in hospital, the infection record is in-hospital infection, and when the type field is out of hospital, the infection record is out-of-hospital infection.

Based on the above H (b) Y, H (c) Y is:

h (c) N is:

The normal time of infection should be within the patient's hospital stay, therefore, the present invention screens apparently erroneous data according to the parameter g.mc2. Specifically, the invention filters out the infection information H (d) N with the infection time not in the hospitalization period of the patient based on the comparison between the 'infection time' field in the infection information and the parameter g.MC2 of the hospitalization and discharge time, and obtains the infection information H (d) Y with the infection time in the hospitalization time range.

For H (c) _ Y mentioned above, H (d) _ Y is:

h (d) N is:

the present invention automatically manages the number of persons who are in a hospital infection state at a designated time point, and thus, the counted cases in the hospital infection state do not include the cases of hospital infection that occur after the counted time point. Therefore, the invention divides and screens the infection information H (d) _ Y based on the 'infection time' field in the infection information. The infection information before the "infection time" at the statistical time point is assigned to H (e) _ Y, and the infection information after the "infection time" at the statistical time point is assigned to H (e) _ N.

For H (d) Y, H (e) Y mentioned above:

h (e) N is:

the invention firstly divides the infection information H (a) Y into the infection information H (b) Y of the unbound scalpel and the infection information H (b) N of the bound scalpel, and in order to further confirm the infection information of the infection of the operation position, the invention divides the infection information H (a) Y again based on the operation time corresponding to the infection, thereby ensuring that the accurate infection information H (b1) Y of the bound scalpel is obtained.

For the above-mentioned H (a) _ Y, H (b1) _ Y is:

h (b1) _ N is:

since the infection information H (b1) _ Y of the bound scalpel is automatically managed by the number of persons who are in a hospital infection state at a predetermined time, the counted cases in the hospital infection state do not include the surgical site infection cases occurring after the counted time. Therefore, the present invention divides and screens the infection information H (b1) _ Y based on the "infection-corresponding surgery time" field in the infection information. The infection information before the statistical time point of "infection-corresponding operation time" is assigned to H (c1) _ Y, and the infection information after the statistical time point of "infection-corresponding operation time" is assigned to H (c1) _ N.

For the above H (b1) _ Y, statistical time point, H (c1) _ Y is:

h (c1) _ N is:

since the infection diagnosis information includes the infection information H (e) Y of the non-surgical site and the infection information H (c1) Y of the surgical site, the present invention combines the obtained infection information H (e) Y of the non-surgical site and the obtained infection information H (c1) Y of the surgical site to obtain the infection diagnosis information H (f).

For H (e) Y, H (c1) Y, H (f) above is:

In order to improve the practical application value of counting the population of the hospital infection state, the invention determines that the population of the patients in the hospital infection state in the hospital hospitalized patients at the time point does not include the patients cured before the counting time point. Therefore, the present invention further screens the acquired infection diagnosis information h (f). Specifically, the infection information H (f) is divided and screened according to the 'returning' field and the 'returning time' field in the infection information.

Specifically, for the diagnosis records in h (f), the "returning" field is first obtained, if the "returning" field is empty, the corresponding diagnosis record is added to h (g) _ Y, otherwise, the "returning time" field is further obtained, and it is determined whether the "returning time" is before the statistical time point, if so, the corresponding diagnosis record is added to h (g) _ N, otherwise, the corresponding diagnosis record is added to h (g) _ Y. The infection diagnosis information h (g) _ Y thus obtained is the statistical record information of the nosocomial infection state at the specified time point. Outputting the number of persons in a hospital infection state based on the number of pieces recorded in the infection diagnosis information h (g) _ Y.

If the infection diagnosis record of H (g) _ Y is empty, 0 is output, and if not, the corresponding hospital infection case frequency or the unified output is 1. When a specific case record in the hospital infection state needs to be output, H (g) _ Y is output.

For H (f), the statistical time point [ 2019-01-0700: 00:00], H (g) _ Y is:

h (g) N is:

since H (g) _ Y includes one infection record, the number of persons who are in a hospital infection state is 1.

Example two

As shown in fig. 2, the present embodiment proposes an automatic management system for the number of persons in a hospital infection state at a specified time point, comprising:

the branch information is used for recording the information of entering and leaving the department of each diagnosis and treatment department during the hospitalization period of the patient, and specifically comprises the patient case number, the department, the time of entering the department, the time of leaving the department and the like. For the branch information B, the invention firstly screens the branch information based on the statistical time point, the authority department and the selected department, and only if the corresponding branch record exists after screening, the patient in the hospital infection state is possible to exist. Therefore, when there is no branch record after screening, that is, there is no department that simultaneously satisfies the statistical time point, the authority department and the selected department requirement, the number of people who are in the hospital infection state is output to be 0, that is, there is no patient who is in the hospital infection state. The invention screens the branch information in sequence based on the statistical time point, the authority department and the selected department, therefore, the acquisition and judgment module specifically comprises:

For example, the referral information B is:

The statistical time point is [ 2019-01-0700: 00:00], then B (a) _ Y is:

B (a) N is:

B (b) N is:

patient's case number

Department's office

Time of entering the clinic

Time of delivery

B (c) N is:

For example, the infection information H collected is:

then H (a) _ Y is:

h (a) N is:

For example, hospitalization procedure information a is:

The obtained parameter g.mc2 is: [2019-01-0100:00:12,2019-01-1203:00:12].

the invention screens the acquired infection information H (a) Y and selects the infection information which is irrelevant to the operation position, infected in a hospital and the infection time of the patient in the hospital, therefore, the infection information dividing module specifically comprises:

For H (a) Y, H (b) Y mentioned above:

h (b) N is:

Based on the above H (b) Y, H (c) Y is:

h (c) N is:

For H (c) _ Y mentioned above, H (d) _ Y is:

h (d) N is:

For H (d) Y, H (e) Y mentioned above:

h (e) N is:

For the above-mentioned H (a) _ Y, H (b1) _ Y is:

h (b1) _ N is:

For the above H (b1) _ Y, statistical time point, H (c1) _ Y is:

h (c1) _ N is:

For H (e) Y, H (c1) Y, H (f) above is:

For H (f), the statistical time point [ 2019-01-0700: 00:00], H (g) _ Y is:

h (g) N is:

Therefore, the automatic management method and the system for the number of people in the hospital infection state at the specified time point, which are provided by the invention, record the specific implementation mode of the number of people in the hospital infection state at the specified time point in detail, determine the authority department of the user according to the identity information of the user by using the information of the branch department, the information of the hospitalization process, the infection information, the selected statistical time, the department, and the authority department of the user, respectively determine the infection information of the non-operation part and the infection information of the operation part which occur before the statistical time point, and screen and filter the cured infection diagnosis information to obtain the infection diagnosis information which does not include the cured cases finally; the hospital infection state people number management can be automatically carried out at a specified time point, the labor intensity of manual data statistics is avoided, and the automatic management of the infection state people number can be realized as required; the method makes full use of the infection time, whether to cure or not and the returning time, realizes effective statistics according to the curing condition, and has strong practicability and high application value for the counted number of people in the hospital infection state.

It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for automatically managing the number of persons in a hospital infection state at a specified time point is characterized by comprising the following steps:

2. The automatic management method according to claim 1, wherein the information of the branch department includes patient's case number, department, time of entering the department, time of leaving the department; the infection information comprises a patient case number, an infection department, infection time, an infection part, operation time, state, infection type, infection case identification, outcome and outcome time corresponding to the infection; the hospitalization information comprises the patient case number, the hospital admission department, the hospital admission time, the hospital discharge department and the hospital discharge time.

3. The automatic management method according to claim 2, wherein the step S2 specifically includes:

4. The automatic management method according to claim 2, wherein the step S5 specifically includes:

5. The automated management method according to claim 2, wherein the step S10 includes: acquiring 'returning' fields of all records in the infection diagnosis information H (f), if the 'returning' fields are empty, adding corresponding diagnosis records into H (g) _ Y, otherwise, further acquiring 'returning time' fields, judging whether the 'returning time' is before the statistical time point, if so, adding the corresponding diagnosis records into H (g) _ N, otherwise, adding the corresponding diagnosis records into H (g) _ Y.

6. An automated system for managing the number of persons in a hospital infection state at a given point in time, comprising:

7. The automated management system of claim 6, wherein the referral information includes patient case number, department, time to enter, time to leave; the infection information comprises a patient case number, an infection department, infection time, an infection part, operation time, state, infection type, infection case identification, outcome and outcome time corresponding to the infection; the hospitalization information comprises the patient case number, the hospital admission department, the hospital admission time, the hospital discharge department and the hospital discharge time.

8. The automatic management system of claim 7, wherein the collecting and determining module specifically comprises:

9. The automated management system according to claim 7, wherein the infection information partitioning module comprises:

10. The automated management method according to claim 7, wherein the infection status person number determination module comprises: