CN113793698B - Intelligent follow-up system for medical institution - Google Patents
Intelligent follow-up system for medical institution Download PDFInfo
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- CN113793698B CN113793698B CN202111086469.8A CN202111086469A CN113793698B CN 113793698 B CN113793698 B CN 113793698B CN 202111086469 A CN202111086469 A CN 202111086469A CN 113793698 B CN113793698 B CN 113793698B
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
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Abstract
The invention relates to the technical field of medical care, and discloses an intelligent follow-up system for a medical institution, which comprises a patient end, a doctor end, a follow-up feedback end and a database, wherein the patient end and the doctor end are connected with the database through a mobile data network; the patient end comprises a patient account login module and an information input module; the patient login module is used for logging in a patient hospital follow-up system; the information input module is used for inputting personal information of a patient and inputting medical records of the patient. Through the cooperation of the information input module at the patient end and the illness state input module at the doctor end, through the common information input of the patient and the doctor, the authority of doctor input information is provided, and the patient examines the own health condition, so that the patient illness state information is supplemented by the supplementing doctor, the singleness of the patient illness state information is effectively avoided, the information supplementation is increased, the scientificity of follow-up journey generation is improved, and the follow-up effect is further improved.
Description
Technical Field
The invention relates to the technical field of medical care, in particular to an intelligent follow-up system for medical institutions.
Background
Follow-up refers to the observation that a hospital makes regular knowledge of the patient and guides the patient to recover, either on a hospital visit or by means of communication or other access, and especially the medical attention of society is now focused on doctor follow-up.
In the CN108806801a, the follow-up visit is completed by generating a follow-up visit list, calling the users one by one through the list to be called, and communicating with the patient by telephone according to the personal follow-up visit plan of the users and the electronic medical record. Although the efficiency of follow-up visit and the scientificity of follow-up visit can be increased, patient information is only obtained through one side of a hospital, and information sources are single, so that list ordering is inaccurate, reference information is single in the process of generating a follow-up visit list, scientific ordering is not performed according to multi-azimuth information, and the follow-up visit list is further reduced in strictness. Meanwhile, in the feedback process, the enthusiasm of the follow-up visit of the doctor cannot be increased, the follow-up visit quality of the doctor cannot be guaranteed, and the interactivity between the doctor and the patient in the follow-up visit feedback aspect is poor.
Disclosure of Invention
Aiming at the defects of the prior art, the intelligent follow-up system for the medical institution is provided by the invention, and has the advantages of diversification of patient information acquisition, scientific follow-up travel generation, effective improvement of follow-up effect and follow-up efficiency, increased follow-up feedback, further improved follow-up effect, improved enthusiasm of doctor follow-up, increased follow-up interaction between doctor and patient, and further improved follow-up effect.
In order to achieve the above purpose, the present invention provides the following technical solutions: the intelligent follow-up system for the medical institution comprises a patient end, a doctor end, a follow-up feedback end and a database, wherein the patient end and the doctor end are connected with the database through a mobile data network;
the patient end comprises a patient account login module and an information input module;
the patient account login module is used for logging in a patient hospital follow-up system;
the information input module is used for inputting personal information of a patient and inputting medical records of the patient;
the doctor terminal comprises a doctor account login module and a illness state input module;
the doctor account login module is used for logging in a doctor hospital follow-up system;
the illness state input module is used for live recording of illness state in the diagnosis process of doctors;
the database includes patient subjects, patient ratings and patient ages;
the patient subjects include records of the patient in the department to which the hospital belongs;
the illness state rating comprises the emergency judgment of a doctor on the patient;
patient age includes a record of patient age;
the follow-up feedback end comprises a follow-up information recording module connected with the doctor end and used for recording real-time information of follow-up conditions of patients by the doctor;
the follow-up feedback end comprises a patient scoring module connected with the patient end and is used for recording evaluation of follow-up conditions of doctors;
the follow-up feedback end comprises a doctor scoring module and a doctor scoring module which are connected with the doctor end;
the doctor scoring module is used for scoring the evaluation of the follow-up information recording module;
the doctor scoring module is used for receiving the scores recorded by the doctor scoring module;
the follow-up feedback end also comprises a doctor rating module connected with the doctor end and used for rating follow-up behaviors of the doctor.
Preferably, the patient account login module is used for protecting patient login information, identifying login equipment and recording login time.
Preferably, the doctor account login module is used for protecting doctor account login information safety at the same time, and the doctor end is connected with the follow-up information recording module, so that patient follow-up records of different doctor ends in the follow-up information recording module can be conveniently inquired, follow-up conditions of follow-up patients can be recorded in real time, the follow-up information recording module is connected with the patient end, and the information recording module of the patient end is identified and is in matched connection with the follow-up information recording module.
Preferably, the patient subjects record the subjects of the patient in the hospital, and classify and grade according to the subjects, wherein the subjects are classified according to the bias of the genus of the family, and the classification is A 1 ～A n Is classified into ten grades according to the degree of hospital bias, respectively A n 1 、A n 2 、A n 3 、A n 4 、A n 5 、A n 6 、A n 7 、A n 8 、A n 9 、A n 10 And A is n 1 ～A n 10 The scores of (2) were recorded as 1 to 10.
Preferably, the disease grade is classified according to the disease degree and life hazard degree of the patient, the classification is B1-B10, and the coefficient is 1-10.
Preferably, the patient ages are classified according to the patient ages, wherein the ages of 20-35 are C1, the grade is increased to two sides, the grade is increased by one grade every two years of age of downward diffusion, the grade is C1-Cj, and the coefficient is 1-j.
Preferably, the intelligent follow-up system for the medical institution further comprises a time judging module for carrying out follow-up time calculation, wherein the time judging module generates follow-up time and feeds time back to the follow-up generating module, the follow-up generating module forms a follow-up journey and feeds back the follow-up journey to a doctor end, and meanwhile information is fed back to the reminding module.
Preferably, the time judging module performs judgment calculation according to the database information, wherein the first priority is judged according to the illness state rating and the age of the patient, and the judgment value is as follows: k=bf+cj/5, where f and j are ratings, the first follow-up time priority generates a follow-up time according to the size of the determined value, and when the first follow-up time conflicts, reference a is made to n i And (3) sorting and generating the hospital bias grades.
Preferably, the system follow-up journey generation step is as follows:
s1, a patient end logs in a patient account through a patient account login module;
s2, the patient end inputs own identity information through an information input module, and simultaneously inputs own medical record information through the information input module;
s3, a doctor logs in a personal account through a doctor account login module;
s4, a doctor logs in the disease information of the diagnosis patient through a disease input module, and the information of the patient is matched with the patient end;
s5, the database simultaneously receives an information input module at the patient end and a disease condition input module at the doctor end, integrates and classifies the information, and is respectively divided into a patient subject, a disease condition rating and a patient age;
s6, the time judging module receives the database integration information and combines the information statistics of the subjects, the disease ratings and the ages of the patients so as to calculate the follow-up time and generate the follow-up time;
s7, the follow-up visit generation module receives the time judgment of the time judgment module, generates a follow-up visit course, and feeds back the follow-up visit course to the doctor terminal and the reminding module;
s8, respectively reminding the reminding module in the first half hour before the follow-up time reaches the immediately preceding day and the preceding hour;
s9, in the follow-up process, the doctor records the follow-up information condition in time through the follow-up information recording module.
Preferably, the follow-up feedback process of the system is as follows:
d1, in the follow-up process, a follow-up information recording module records the follow-up information condition and record of the doctor, and feeds information back to a patient end;
d2, after the patient views the follow-up information recording condition, scoring and grading are carried out through a patient scoring module connected with the patient end;
d3, a doctor can check the follow-up visit records of different doctors in the follow-up visit information recording module, and can grade by scoring through a doctor scoring module connected with a doctor end, and the doctor scoring module is matched with the grading object for scoring feedback of the doctor;
d4, the doctor scoring module receives the self follow-up journey scores of other doctors;
and D5, a doctor grading module receives the grading of the patient scoring module, the grading of the doctor scoring module and the action scoring of the doctor in scoring grading through the doctor scoring module, all the grading are added, and the grading score is fed back to the doctor end.
Preferably, the patient scoring module is configured to score the follow-up behavior of the doctor according to the record information of the follow-up information recording module recorded by the doctor and the actual follow-up process after the doctor completes the follow-up journey, and the score is g, where the total score is 100 points.
Preferably, the doctor scoring module is used for a doctor to browse follow-up information of other doctors in the follow-up information recording module, scientifically judge according to the doctor follow-up record, give scores at the same time, the score is m, the total score is 100 points, the doctor scoring module records browse scoring information of the doctor, and calculates doctor behavior scores, wherein each scoring behavior scores 0.5 point, and the scoring quantity is q.
Preferably, the doctor grading module calculates the score of the follow-up behavior of the doctor, the score is P, and the calculation process is as follows:
P＝(g+m)/2+0.5q
the doctor grading module feeds the calculated score back to the doctor.
The beneficial effects are that:
1. this intelligent follow-up system for medical institution, through the cooperation of the information input module of patient's end and the condition of illness input module of doctor's end, then through the common information input of patient and doctor, the authority of existing doctor input information has the examination of patient to self health condition again, reaches the supplementary doctor to the supplementary of patient's condition of illness information, effectively avoids the singleness of patient's condition information, increases the information and supplements to improve the scientificity that follow-up journey generated, and then improve the follow-up effect.
2. This medical institution is with intelligent follow-up system through carrying out classification of patient subject, state of illness rating and patient age to the database, increases the reference factor that follow-up stroke generated, effectively combines patient's state of illness, recovery effect, sick degree and patient's age to generate the follow-up stroke, make can manage with more scientific mode, thereby effectively improve the effect of follow-up, improve the recovered effect of patient.
3. This medical institution is with intelligent follow-up system, through follow-up feedback end to doctor follow-up score, effectively increase doctor and patient interactivity in follow-up, increase doctor's rated enthusiasm simultaneously, and then further increase doctor follow-up effect, effectively guarantee patient's rehabilitation.
4. This medical institution uses intelligent follow-up system, in doctor scoring module use, through doctor scoring's action, not only can make effective comment to other doctor's terminal follow-up action, reaches the warning to self follow-up action simultaneously, guarantees self and attach to follow-up action, and then guarantees the follow-up effect.
Drawings
FIG. 1 is a schematic diagram of a structure follow-up generation system of the present invention;
FIG. 2 is a schematic diagram of a structural information recording system according to the present invention;
FIG. 3 is a schematic diagram of a follow-up feedback system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. 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.
Example 1
Referring to fig. 2, the intelligent follow-up system for medical institutions comprises a patient end, a doctor end, a follow-up feedback end and a database, wherein the patient end and the doctor end are connected with the database through a mobile data network;
the patient end comprises a patient account login module and an information input module;
the patient account login module is used for logging in a patient hospital follow-up system;
the information input module is used for inputting personal information of a patient and inputting medical records of the patient;
the doctor terminal comprises a doctor account login module and a illness state input module;
the doctor account login module is used for logging in a doctor hospital follow-up system;
the illness state input module is used for live recording of illness state in the diagnosis process of doctors;
the database includes patient subjects, patient ratings and patient ages;
the patient subjects include records of the patient in the department to which the hospital belongs;
the illness state rating comprises the emergency judgment of a doctor on the patient;
patient age includes a record of patient age;
the follow-up feedback end comprises a follow-up information recording module connected with the doctor end and used for recording real-time information of follow-up conditions of patients by the doctor;
the follow-up feedback end comprises a patient scoring module connected with the patient end and is used for recording evaluation of follow-up conditions of doctors;
the follow-up feedback end comprises a doctor scoring module and a doctor scoring module which are connected with the doctor end;
the doctor scoring module is used for scoring the evaluation of the follow-up information recording module;
the doctor scoring module is used for receiving the scores recorded by the doctor scoring module;
the follow-up feedback end also comprises a doctor rating module connected with the doctor end and used for rating follow-up behaviors of the doctor.
The patient account login module is used for protecting patient login information, identifying login equipment and recording login time.
The doctor account login module is used for protecting doctor account login information safety, the doctor end is connected with the follow-up information recording module, patient follow-up records of different doctor ends in the follow-up information recording module are conveniently inquired, follow-up conditions of follow-up patients are recorded in real time, the follow-up information recording module is connected with the patient end, the information input module of the patient end is identified, and the information input module is connected with the patient end in a matching mode.
Wherein, the patient subjects record the subjects of the patient in the hospital, and classify and grade according to the subjects, and classify according to the bias of the subjects, and the classification is A 1 ～A n Is classified into ten grades according to the degree of hospital bias, respectively A n 1 、A n 2 、A n 3 、A n 4 、A n 5 、A n 6 、A n 7 、A n 8 、A n 9 、A n 10 And A is n 1 ～A n 10 The scores of (2) were recorded as 1 to 10.
Wherein, the disease grade classifies the grade according to the disease risk degree and life hazard degree of the patient, the class is B1-B10, and the coefficient is 1-10.
The patient ages are classified according to the patient ages, wherein the ages of the 20-35 intervals are C1, the grades are increased to two sides in a spreading way, the grade is increased by one grade every two years old in a downward spreading way, the grade is C1-Cj in an upward spreading way, and the coefficient is 1-j.
Example two
Referring to fig. 1-2, an intelligent follow-up system for a medical institution comprises a patient end, a doctor end, a follow-up feedback end and a database, wherein the patient end and the doctor end are connected with the database through a mobile data network;
the patient end comprises a patient account login module and an information input module;
the patient account login module is used for logging in a patient hospital follow-up system;
the information input module is used for inputting personal information of a patient and inputting medical records of the patient;
the doctor terminal comprises a doctor account login module and a illness state input module;
the doctor account login module is used for logging in a doctor hospital follow-up system;
the illness state input module is used for live recording of illness state in the diagnosis process of doctors;
the database includes patient subjects, patient ratings and patient ages;
the patient subjects include records of the patient in the department to which the hospital belongs;
the illness state rating comprises the emergency judgment of a doctor on the patient;
patient age includes a record of patient age;
the follow-up feedback end comprises a follow-up information recording module connected with the doctor end and used for recording real-time information of follow-up conditions of patients by the doctor;
the follow-up feedback end comprises a patient scoring module connected with the patient end and is used for recording evaluation of follow-up conditions of doctors;
the follow-up feedback end comprises a doctor scoring module and a doctor scoring module which are connected with the doctor end;
the doctor scoring module is used for scoring the evaluation of the follow-up information recording module;
the doctor scoring module is used for receiving the scores recorded by the doctor scoring module;
the follow-up feedback end also comprises a doctor rating module connected with the doctor end and used for rating follow-up behaviors of the doctor.
The patient account login module is used for protecting patient information login information, identifying login equipment and recording login time.
The doctor account login module is used for protecting doctor account login information safety, the doctor end is connected with the follow-up information recording module, patient follow-up records of different doctor ends in the follow-up information recording module are conveniently inquired, follow-up conditions of follow-up patients are recorded in real time, the follow-up information recording module is connected with the patient end, the information input module of the patient end is identified, and the information input module is connected with the patient end in a matching mode.
Wherein, the patient subjects record the subjects of the patient in the hospital, and classify and grade according to the subjects, and classify according to the bias of the subjects, and the classification is A 1 ～A n Is classified into ten grades according to the degree of hospital bias, respectively A n 1 、A n 2 、A n 3 、A n 4 、A n 5 、A n 6 、A n 7 、A n 8 、A n 9 、A n 10 And A is n 1 ～A n 10 The scores of (2) were recorded as 1 to 10.
Wherein, the disease grade classifies the grade according to the disease risk degree and life hazard degree of the patient, the class is B1-B10, and the coefficient is 1-10.
The patient ages are classified according to the patient ages, wherein the ages of the 20-35 intervals are C1, the grades are increased to two sides in a spreading way, the grade is increased by one grade every two years old in a downward spreading way, the grade is C1-Cj in an upward spreading way, and the coefficient is 1-j.
The intelligent follow-up visit system for the medical institution further comprises a time judging module for carrying out follow-up visit time calculation, wherein the time judging module generates follow-up visit time and feeds time back to the follow-up visit generating module, the follow-up visit generating module forms a follow-up visit journey and feeds back the follow-up visit journey to a doctor end, and meanwhile information is fed back to the reminding module.
Wherein the time determination module performs determination calculation according to the database information, and the first priority is based on the illness state rating and the patientThe age is judged, and the judgment value is as follows: k=bf+cj/5, where f and j are ratings, the first follow-up time priority generates a follow-up time according to the size of the determined value, and when the first follow-up time conflicts, reference a is made to n i And (3) sorting and generating the hospital bias grades.
The system follow-up travel generation steps are as follows:
s1, a patient end logs in a patient account through a patient account login module;
s2, the patient end inputs own identity information through an information input module, and simultaneously inputs own medical record information through the information input module;
s3, a doctor logs in a personal account through a doctor account login module;
s4, a doctor logs in the disease information of the diagnosis patient through a disease input module, and the information of the patient is matched with the patient end direction;
s5, the database simultaneously receives an information input module at the patient end and a disease condition input module at the doctor end, integrates and classifies the information, and is respectively divided into a patient subject, a disease condition rating and a patient age;
s6, the time judging module receives the database integration information and combines the information statistics of the subjects, the disease ratings and the ages of the patients so as to calculate the follow-up time and generate the follow-up time;
s7, the follow-up visit generation module receives the time judgment of the time judgment module, generates a follow-up visit course, and feeds back the follow-up visit course to the doctor terminal and the reminding module;
s8, respectively reminding the reminding module in the first half hour before the follow-up time reaches the immediately preceding day and the preceding hour;
s9, in the follow-up process, the doctor records the follow-up information through the follow-up information recording module.
Example III
Referring to fig. 1-3, an intelligent follow-up system for a medical institution comprises a patient end, a doctor end, a follow-up feedback end and a database, wherein the patient end and the doctor end are connected with the database through a mobile data network;
the patient end comprises a patient account login module and an information input module;
the patient account login module is used for logging in a patient hospital follow-up system;
the information input module is used for inputting personal information of a patient and inputting medical records of the patient;
the doctor terminal comprises a doctor account login module and a illness state input module;
the doctor account login module is used for logging in a doctor hospital follow-up system;
the illness state input module is used for live recording of illness state in the diagnosis process of doctors;
the database includes patient subjects, patient ratings and patient ages;
the patient subjects include records of the patient in the department to which the hospital belongs;
the illness state rating comprises the emergency judgment of a doctor on the patient;
patient age includes a record of patient age;
the follow-up feedback end comprises a follow-up information recording module connected with the doctor end and used for recording real-time information of follow-up conditions of patients by the doctor;
the follow-up feedback end comprises a patient scoring module connected with the patient end and is used for recording evaluation of follow-up conditions of doctors;
the follow-up feedback end comprises a doctor scoring module and a doctor scoring module which are connected with the doctor end;
the doctor scoring module is used for scoring the evaluation of the follow-up information recording module;
the doctor scoring module is used for receiving the scores recorded by the doctor scoring module;
the follow-up feedback end also comprises a doctor rating module connected with the doctor end and used for rating follow-up behaviors of the doctor.
The patient account login module is used for protecting patient information login information, identifying login equipment and recording login time.
The doctor account login module is used for protecting doctor account login information safety, the doctor end is connected with the follow-up information recording module, patient follow-up records of different doctor ends in the follow-up information recording module are conveniently inquired, follow-up conditions of follow-up patients are recorded in real time, the follow-up information recording module is connected with the patient end, the information input module of the patient end is identified, and the information input module is connected with the patient end in a matching mode.
Wherein, the patient subjects record the subjects of the patient in the hospital, and classify and grade according to the subjects, and classify according to the bias of the subjects, and the classification is A 1 ～A n Is classified into ten grades according to the degree of hospital bias, respectively A n 1 、A n 2 、A n 3 、A n 4 、A n 5 、A n 6 、A n 7 、A n 8 、A n 9 、A n 10 And A is n 1 ～A n 10 The scores of (2) were recorded as 1 to 10.
Wherein, the disease grade classifies the grade according to the disease risk degree and life hazard degree of the patient, the class is B1-B10, and the coefficient is 1-10.
The patient ages are classified according to the patient ages, wherein the ages of the 20-35 intervals are C1, the grades are increased to two sides in a spreading way, the grade is increased by one grade every two years old in a downward spreading way, the grade is C1-Cj in an upward spreading way, and the coefficient is 1-j.
The intelligent follow-up visit system for the medical institution further comprises a time judging module for carrying out follow-up visit time calculation, wherein the time judging module generates follow-up visit time and feeds time back to the follow-up visit generating module, the follow-up visit generating module forms a follow-up visit journey and feeds back the follow-up visit journey to a doctor end, and meanwhile information is fed back to the reminding module.
The time judging module judges and calculates according to the database information, wherein the first priority judges according to the illness state rating and the age of the patient, and the judging value is as follows: k=bf+cj/5, where f and j are ratings, the first follow-up time priority generates a follow-up time according to the size of the determined value, and when the first follow-up time conflicts, reference a is made to n i And (3) sorting and generating the hospital bias grades.
The system follow-up travel generation steps are as follows:
s1, a patient end logs in a patient account through a patient account login module;
s2, the patient side inputs own province information through an information input module, and simultaneously inputs own medical record information through the information input module;
s3, a doctor logs in a personal account through a doctor account login module;
s4, a doctor logs in the disease information of the diagnosis patient through a disease input module, and the information of the patient is matched with the patient end direction;
s5, the database simultaneously receives an information input module at the patient end and a disease condition input module at the doctor end, integrates and classifies the information, and is respectively divided into a patient subject, a disease condition rating and a patient age;
s6, the time judging module receives the database integration information and combines the information statistics of the subjects, the disease ratings and the ages of the patients so as to calculate the follow-up time and generate the follow-up time;
s7, the follow-up visit generation module receives the time judgment of the time judgment module, generates a follow-up visit course, and feeds back the follow-up visit course to the doctor terminal and the reminding module;
s8, respectively reminding the reminding module in the first half hour before the follow-up time reaches the immediately preceding day and the preceding hour;
s9, in the follow-up process, the doctor records the follow-up information through the follow-up information recording module.
The follow-up feedback process of the system is as follows:
d1, in the follow-up process, a follow-up information recording module records the follow-up information condition and record of the doctor, and feeds information back to a patient end;
d2, after the patient views the follow-up information recording condition, scoring and grading are carried out through a patient scoring module connected with the patient end;
d3, a doctor can check the follow-up visit records of different doctors in the follow-up visit information recording module, and can grade by scoring through a doctor scoring module connected with a doctor end, and the doctor scoring module is matched with the grading object for scoring feedback of the doctor;
d4, the doctor scoring module receives the self follow-up journey scores of other doctors;
and D5, a doctor grading module receives the grading of the patient scoring module, the grading of the doctor scoring module and the action scoring of the doctor in scoring grading through the doctor scoring module, all the grading are added, and the grading score is fed back to the doctor end.
And the patient scoring module is used for scoring the follow-up behavior of the doctor according to the record information of the follow-up information recording module recorded by the doctor and the actual follow-up process after the doctor finishes the follow-up journey, and the score is g, wherein the total score is 100 points.
The doctor scoring module is used for browsing follow-up information of other doctors in the follow-up information recording module, scientifically judging according to the doctor follow-up records, giving scores at the same time, wherein the score is m, the total score is 100 points, the doctor scoring module records browsing scoring information of the doctor, and calculates doctor behavior scores, wherein each scoring behavior score is 0.5 point, and the scoring quantity is q.
The doctor grading module calculates a doctor follow-up behavior score which is P, and the calculation process is as follows:
P＝(g+m)/2+0.5q
the doctor grading module feeds the calculated score back to the doctor.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (4)
1. Medical institution is with intelligent follow-up system, including patient end, doctor end, follow-up feedback end and database, its characterized in that: the patient end and the doctor end are connected with the database through a mobile data network;
the patient end comprises a patient account login module and an information input module;
the patient account login module is used for logging in a patient hospital follow-up system;
the information input module is used for inputting personal information of a patient and inputting medical records of the patient;
the doctor terminal comprises a doctor account login module and a illness state input module;
the doctor account login module is used for logging in a doctor hospital follow-up system;
the illness state input module is used for live recording of illness state in the diagnosis process of doctors;
the database includes patient subjects, patient ratings and patient ages;
the patient subjects include records of the patient in the department to which the hospital belongs;
the illness state rating comprises the emergency judgment of a doctor on the patient;
patient age includes a record of patient age;
the follow-up feedback end comprises a follow-up information recording module connected with the doctor end and used for recording real-time information of follow-up conditions of patients by the doctor;
the follow-up feedback end comprises a patient scoring module connected with the patient end and is used for recording evaluation of follow-up conditions of doctors;
the follow-up feedback end comprises a doctor scoring module and a doctor scoring module which are connected with the doctor end;
the doctor scoring module is used for scoring the evaluation of the follow-up information recording module;
the doctor scoring module is used for receiving the scores recorded by the doctor scoring module;
the follow-up feedback end also comprises a doctor rating module connected with the doctor end and used for rating follow-up behaviors of the doctor;
the disease grade is classified according to the disease risk degree and life hazard degree of the patient, the classification is B1-B10, and the coefficient is 1-10;
the patient ages are classified according to the patient ages, wherein the ages of the 20-35 intervals are C1, the grades are increased to two sides in a spreading way, the grade is increased by one grade every two years old in a downwards spreading way, the grade is C1-Cj, and the coefficient is 1-j in an upwards spreading way;
the intelligent follow-up visit system for the medical institution further comprises a time judging module for carrying out follow-up visit time calculation, wherein the time judging module generates follow-up visit time and feeds back the time to the follow-up visit generating module, the follow-up visit generating module forms a follow-up visit journey and feeds back the follow-up visit journey to a doctor end, and meanwhile information is fed back to the reminding module;
the time judging module judges and calculates according to the database information, wherein the first priority is judged according to the illness state rating and the age of the patient, and the judging value is as follows: k=bf+cj/5, wherein f and j are ratings, the first follow-up time priority generates follow-up time according to the size of the determination value, and when the first follow-up time conflicts, the hospital bias level of Ani is referred to for sorting generation;
the system follow-up travel generation steps are as follows:
s1, a patient end logs in a patient account through a patient account login module;
s2, the patient end inputs own identity information through an information input module, and simultaneously inputs own medical record information through the information input module;
s3, a doctor logs in a personal account through a doctor account login module;
s4, a doctor logs in the disease information of the diagnosis patient through a disease input module, and the information of the patient is matched with the patient end;
s5, the database simultaneously receives an information input module at the patient end and a disease condition input module at the doctor end, integrates and classifies the information, and is respectively divided into a patient subject, a disease condition rating and a patient age;
s6, the time judging module receives the database integration information and combines the information statistics of the subjects, the disease ratings and the ages of the patients so as to calculate the follow-up time and generate the follow-up time;
s7, the follow-up visit generation module receives the time judgment of the time judgment module, generates a follow-up visit course, and feeds back the follow-up visit course to the doctor terminal and the reminding module;
s8, the reminding module reminds the user in the first half hour and the first hour respectively when the follow-up time reaches the immediately preceding day and the preceding hour;
s9, in the follow-up process, the doctor records the follow-up information condition in time through the follow-up information recording module;
the follow-up feedback process of the system is as follows:
d1, in the follow-up process, a follow-up information recording module records the follow-up information condition of the doctor and feeds the information back to the patient end;
d2, after the patient views the follow-up information recording condition, scoring and grading are carried out through a patient scoring module connected with the patient end;
d3, the doctor simultaneously checks the follow-up records of different doctors in the follow-up information recording module, and meanwhile, scoring and grading are carried out through a doctor scoring module connected with the doctor end, and grading feedback of the doctor is given to a doctor scoring module matched with the grading object;
d4, the doctor scoring module receives the self follow-up journey scores of other doctors;
and D5, a doctor grading module receives the grading of the patient scoring module, the grading of the doctor scoring module and the action scoring of the doctor in scoring grading through the doctor scoring module, all the grading are added, and the grading score is fed back to the doctor end.
2. The intelligent follow-up system for medical institutions of claim 1, wherein: the patient account login module is used for protecting patient login information, identifying login equipment and recording login time.
3. The intelligent follow-up system for medical institutions of claim 1, wherein: the doctor account login module is used for protecting doctor account login information safety, the doctor end is connected with the follow-up information recording module, patient follow-up records of different doctor ends in the follow-up information recording module are conveniently inquired, follow-up conditions of follow-up patients are recorded in real time, the follow-up information recording module is connected with the patient end, the information recording module of the patient end is identified, and the information recording module of the patient end is connected with the follow-up information recording module in a matching mode.
4. The intelligent follow-up system for medical institutions of claim 1, wherein: the patient subjects record that the patient belongs to the hospital subjects, and are classified and rated according to the belonging subjects, the classification is A1-An, the classification is classified into ten stages according to the degree of the hospital bias, an1, an2, an3, an4, an5, an6, an7, an8, an9 and An10 are respectively classified, and the scores of An 1-An 10 are recorded as 1-10.
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