CN116246763B - Auxiliary management system for rehabilitation stage of medical patient - Google Patents
Auxiliary management system for rehabilitation stage of medical patient Download PDFInfo
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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
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
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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
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
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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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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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
Abstract
The invention relates to the technical field of medical informatization, in particular to an auxiliary management system for a rehabilitation stage of a medical patient, which comprises a first storage unit, a second storage unit, a third storage unit, a data acquisition unit, a data analysis unit and a data processing unit, wherein the data acquisition unit acquires inquiry data of a patient visit input by a doctor, the data acquisition unit acquires first historical medical record data of the patient and doctor qualification information, the data analysis unit determines the medication grade and the examination item grade of the patient's medical treatment disease according to the historical medical record data of the patient in the medical treatment of the patient when the doctor carries out inquiry treatment on the patient, and the data processing unit generates the medical record data of the patient's medical treatment disease according to the medical record acquisition range to feed back the medical record data to the doctor as a health basis of the rehabilitation stage of the patient, so that the control accuracy of medication and examination items of the patient in the rehabilitation stage is improved.
Description
Technical Field
The invention relates to the technical field of medical informatization, in particular to an auxiliary management system for a rehabilitation stage of a medical patient.
Background
The medication and timely examination diagnosis and treatment of the patient in the rehabilitation stage after treatment are important bases for the future health of the patient, the diagnosis and treatment of the patient in the rehabilitation stage are always required to be given by doctors according to the treatment condition, the doctors always only give the re-diagnosis and medication for the diagnosis and treatment process, whether the patient is healthy or not still needs to rely on more examination item data can be accurately determined, the past medical record and the diagnosis and treatment dictation of the patient are important bases for knowing the condition in the doctor inquiry process, however, the patient cannot always generate complete medical record in a medical institution in the diagnosis and treatment process of the patient, the dictation process in the inquiry and treatment process is insufficient in detail degree due to cultural differences, the diagnosis efficiency of the doctor on the disease of the patient is greatly reduced, the medication and examination diagnosis and treatment of the patient in the rehabilitation stage are influenced, and the future health condition of the patient is very unfavorable.
Chinese patent publication No.: CN102968572a discloses an orthopedic case information acquisition system and method thereof, the system comprising: the system comprises a paper medical record scanning and collecting module, an electronic medical record automatic conversion module, an orthopedics image collecting module and a case information sharing platform. The system for collecting the orthopedic case information can effectively collect the orthopedic case information, and the information is subjected to unified standard processing, so that the query and the utilization of the orthopedic case information by the public are facilitated, and the problem of unbalanced medical information is relieved. It follows that the prior art has the problem of not being sufficiently accurate for the administration and examination item control during the rehabilitation phase of the patient.
Disclosure of Invention
Therefore, the invention provides an auxiliary management system for a rehabilitation stage of a medical patient, which is used for solving the problem that the medication and examination project control of the rehabilitation stage of the patient is not accurate enough in the prior art.
To achieve the above object, the present invention provides an auxiliary management system for a rehabilitation phase of a medical patient, comprising:
a first storage unit for storing medical prescription drug data including a drug name, a drug amount at a patient disease development stage, an associated drug name, and a treatment impact weight on the patient disease development stage;
the second storage unit is used for storing first historical medical record data of a patient in a current medical institution, wherein the first historical medical record data comprise test project reports, imaging examination reports, disease diagnosis information and prescription doctor's advice data;
a third storage unit for storing medical examination item data including each detection index name, a disease associated with the detection index, a disease diagnosis weight of the detection index, and an associated detection index;
the data acquisition unit is used for acquiring inquiry data of patient consultation input by a doctor;
the data acquisition unit is respectively connected with the first storage unit, the second storage unit, the third storage unit and the data acquisition unit and is used for acquiring first historical medical record data of a patient in a diagnosis mode and doctor qualification information from the storage units;
the data analysis unit is respectively connected with the data acquisition unit and the data acquisition unit, and is used for determining the medication grade and the examination item grade of the patient in the treatment of the patient according to the last historical treatment medical record data in the treatment medical record of the patient when a doctor carries out the inquiry treatment for the patient in treatment, and determining the medical record acquisition range according to the medication grade and the examination item grade;
the data processing unit is connected with the data analysis unit and is used for generating diagnosis and treatment medical record data of a patient according to the medical record acquisition range and feeding the diagnosis and treatment medical record data back to a doctor to be used as a health basis of a rehabilitation stage of the patient.
Further, the data analysis unit calculates the medication level comparison parameter Ja according to the following formula, and sets up（1）；
Where n represents the total number of prescription drugs of the prescription order data, di represents the amount of the i-th prescription drug of the prescription order data, qi represents the treatment impact weight of the i-th prescription drug of the prescription order data.
Further, the data analysis unit determines the medication level of the patient in the rehabilitation stage according to the medication level comparison parameter Ja, and if the medication level comparison parameter is smaller than a first preset medication level comparison parameter standard, the data analysis unit determines that the medication level is a first medication level; if the medication level comparison parameter is greater than or equal to the first preset medication level comparison parameter standard and less than the second preset medication level comparison parameter standard, the data analysis unit determines that the medication level is the second medication level; and if the medication level comparison parameter is greater than or equal to a second preset medication level comparison parameter, the data analysis unit determines that the medication level is a third medication level.
Further, the methodThe data analysis unit calculates the check item grade comparison parameter Jb of the rehabilitation stage according to the following formula, and sets （2）；
Wherein m represents the total number of examination items of the first historical medical record data, cj represents the number of examination indexes of the j-th examination item of the first historical medical record data, and Sj represents the disease diagnosis weight of the j-th examination index of the examination item.
Further, the data analysis unit determines the inspection item grade according to the inspection item grade comparison parameter Jb, and if the inspection item grade comparison parameter is smaller than a first preset inspection item grade comparison parameter standard, the data analysis unit determines the inspection item grade as a first inspection item grade; if the inspection item grade comparison parameter is greater than or equal to a first preset inspection item grade comparison parameter standard and less than a second preset inspection item grade comparison parameter standard, the data analysis unit determines that the inspection item grade is a second inspection item grade; and if the inspection item grade comparison parameter is greater than or equal to a second preset inspection item grade comparison parameter standard, the data analysis unit determines that the inspection item grade is a third inspection item grade.
Further, the medical record collecting range is a historical review period of the collected patient, the data analysis unit calculates a historical review period parameter Jc according to the following formula, and sets up；
Wherein R0 represents a preset medication level, G0 represents a preset inspection item level, rx is an xth medication level, x=1, 2,3, gy is a yth inspection item level, and y=1, 2,3.
Further, the data analysis unit determines the historical review period according to a comparison result of the historical review period parameter Jc and a preset historical review period parameter standard, and if the historical review period parameter is smaller than a first preset historical review period parameter standard, the data analysis unit determines that the historical review period is a first historical review period; if the historical review period parameter is greater than or equal to the first preset historical review period parameter standard and less than the second preset historical review period parameter standard, the data analysis unit determines that the historical review period is the second historical review period; and if the historical review period parameter is greater than or equal to a second preset historical review period parameter standard, the data analysis unit determines that the historical review period is a third historical review period.
Further, the data analysis unit is further configured to determine, when the generation of the medical record data by the data processing unit is completed, an association coefficient Jd of the medical record of the two times according to the current medical record data and the medical record data of the previous review period, and determine, according to a comparison result of the association coefficient Jd and a preset association coefficient Jd0, whether the current medical record data and the medical record data of the previous review period are associated;
if Jd is less than or equal to Jd0, the data analysis unit determines that the current diagnosis and treatment medical record data and the diagnosis and treatment medical record data of the last review period are not associated;
if Jd is larger than Jd0, the data analysis unit determines that the current diagnosis and treatment medical record data and the diagnosis and treatment medical record data of the last review period are associated.
Further, the data analysis unit calculates each of the correlation coefficients Jd according to the following formula, and sets；
Wherein U represents the same number of prescription drugs in the current medical record data as in the medical record data of the previous review period, U0 represents the number of prescription drugs in the medical record data of the previous review period, V represents the same number of detection indexes in the current medical record data as in the medical record data of the previous review period, and V0 represents the total number of detection indexes in the medical record data of the previous review period.
Further, the data acquisition unit is further configured to acquire second historical medical record data of the patient in other medical institutions through big data, and when the data analysis unit determines that the current medical record data and the medical record data in the last review period are not associated, the data analysis unit determines that the content of the second historical medical record data is added into the medical record data according to the association coefficient of the current medical record data and each second historical medical record data.
Compared with the prior art, the medical record management system has the beneficial effects that the data analysis unit determines the medicine level and the inspection item level of the patient for the treatment of the disease through the medical record data of the latest treatment, and determines the medical record acquisition range, and the data processing unit diagnoses the medical record data according to the medical record acquisition range and feeds the medical record data back to a doctor as the diagnosis basis of the patient, so that the accuracy of controlling the medicine and the inspection item in the rehabilitation stage of the patient is improved.
Further, the accuracy of determining the grade of the examination item is improved by the data analysis unit through calculation of the comparison parameters of the grade of the examination item, and the historical review period is determined through the comparison result of the historical review period parameters and the preset historical review period parameter standard, so that the accuracy of the medical record acquisition range is improved.
Further, the data analysis unit determines whether the correlation exists according to the comparison result of the correlation coefficient and the preset correlation coefficient by determining the correlation coefficient of the medical record of the two times of diagnosis and treatment, so that the integrity of the medical record of the disease diagnosis and treatment is improved.
Further, the data acquisition unit acquires the medical record data of the patient in other medical institutions, and the data analysis unit determines that the content of the medical record data of other medical institutions is added into the medical record data according to the association coefficient of the current medical record data and the medical record data of other medical institutions, so that the accuracy of controlling medication and inspection items in the rehabilitation stage of the patient is improved.
Drawings
Fig. 1 is a schematic structural diagram of an auxiliary management system for a rehabilitation phase of a medical patient according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an auxiliary management system for a rehabilitation stage of a medical patient according to an embodiment of the invention.
An auxiliary management system for a rehabilitation phase of a medical patient according to an embodiment of the present invention includes:
a first storage unit for storing medical prescription drug data including a drug name, a drug amount at a patient disease development stage, an associated drug name, and a treatment impact weight on the patient disease development stage;
the second storage unit is used for storing first historical medical record data of a patient in a current medical institution, wherein the first historical medical record data comprise test project reports, imaging examination reports, disease diagnosis information and prescription doctor's advice data;
a third storage unit for storing medical examination item data including each detection index name, a disease associated with the detection index, a disease diagnosis weight of the detection index, and an associated detection index;
the data acquisition unit is used for acquiring inquiry data of patient consultation input by a doctor;
the data acquisition unit is respectively connected with the first storage unit, the second storage unit, the third storage unit and the data acquisition unit and is used for acquiring first historical medical record data of a patient in a diagnosis mode and doctor qualification information from the storage units;
the data analysis unit is respectively connected with the data acquisition unit and the data acquisition unit, and is used for determining the medicine level and the examination item level of the patient in the treatment of the patient according to the last historical treatment medical record data in the treatment medical record of the patient when a doctor carries out the inquiry treatment for the patient in treatment, and determining the medical record acquisition range according to the medicine level and the examination item level;
the data processing unit is connected with the data analysis unit and is used for generating diagnosis and treatment medical record data of a patient according to the medical record acquisition range and feeding the diagnosis and treatment medical record data back to a doctor to be used as a health basis of a rehabilitation stage of the patient.
Specifically, the data analysis unit calculates the medication level comparison parameter Ja according to the following formula, determines the medication level of the patient in the rehabilitation stage according to the comparison result of the medication level comparison parameter Ja and a preset medication level comparison parameter standard, and sets（1）；
Where n represents the total number of prescription drugs of the prescription order data, di represents the amount of the i-th prescription drug of the prescription order data, qi represents the treatment impact weight of the i-th prescription drug of the prescription order data.
Specifically, the preset medication level comparison parameter standard comprises a first preset medication level comparison parameter standard Ja1 and a second preset medication level comparison parameter standard Ja2, wherein Ja1 is smaller than Ja2;
the medication level comprises a first medication level R1, a second medication level R2 and a third medication level R3 which are arranged by the data analysis unit, wherein R1 is more than R2 and less than R3;
if Ja is less than Ja1, the data analysis unit determines that the medication level is R1;
if Ja1 is less than or equal to Ja < Ja2, the data analysis unit determines that the medication grade is R2;
and if Ja2 is less than or equal to Ja, the data analysis unit determines that the medication level is R3.
In the embodiment of the invention, the dosage unit of the prescription medicine is mg, the value of the first preset medicine grade versus parameter standard is 2.5, and the value of the second preset medicine grade versus parameter standard is 4, and the prescription medicine can be set by a person skilled in the art according to actual needs.
In the embodiment of the invention, the values of the medication grades R1, R2 and R3 are respectively 60%,75% and 90%.
Specifically, the data analysis unit calculates the inspection item grade comparison parameter Jb of the rehabilitation stage according to the following formula, determines the inspection item grade according to the comparison result of the inspection item grade comparison parameter Jb and a preset inspection item grade comparison parameter standard, and sets（2）；
Wherein m represents the total number of examination items of the first historical medical record data, cj represents the number of examination indexes of the j-th examination item of the first historical medical record data, and Sj represents the disease diagnosis weight of the j-th examination index of the examination item.
Specifically, the preset medicine grade comparison parameters comprise a first preset inspection item grade comparison parameter standard Jb1 and a second preset inspection item grade comparison parameter standard Jb2, wherein the first preset inspection item grade comparison parameter standard Jb1 and the second preset inspection item grade comparison parameter standard Jb2 are set by the data analysis unit, and Jb1 is less than Jb2;
the inspection item level comprises a first inspection item level G1, a second inspection item level G2 and a third inspection item level G3, wherein the first inspection item level G1, the second inspection item level G2 and the third inspection item level G3 are arranged by the data analysis unit, and G1 is more than G2 and less than G3;
if Jb is less than Jb1, the data analysis unit determines that the grade of the inspection item is G1;
if Jb1 is less than or equal to Jb2, the data analysis unit determines that the grade of the inspection item is G2;
if Jb2 is less than or equal to Jb, the data analysis unit determines that the grade of the inspection item is G3.
In the embodiment of the invention, the value of the first preset inspection item level comparison parameter standard is 1.5, and the value of the second preset inspection item level comparison parameter standard is 3.
In the embodiment of the invention, the values of the inspection item grades G1, G2 and G3 are 55%,70% and 85%.
Specifically, the medical record collecting range is a historical review period of a patient, the data analysis unit calculates a historical review period parameter Jc according to the following formula, determines the historical review period according to a comparison result of the historical review period parameter Jc and a preset historical review period parameter standard, and sets；
Wherein R0 represents a preset medication level, G0 represents a preset inspection item level, rx is an xth medication level, x=1, 2,3, gy is a yth inspection item level, and y=1, 2,3.
Specifically, the preset historical review period parameter standard comprises a first preset historical review period parameter standard Jc1 and a second preset historical review period parameter standard Jc2, wherein the first preset historical review period parameter standard Jc1 and the second preset historical review period parameter standard Jc2 are set by the data analysis unit, and Jc1 is smaller than Jc2;
the historical review period comprises a first historical review period F1, a second historical review period F2 and a third historical review period F3, wherein F1 is more than F2 and less than F3;
if Jc is less than Jc1, the data analysis unit determines that the historical review period is F1;
if Jc1 is less than or equal to Jc2, the data analysis unit determines that the historical review period is F2;
if Jc2 is less than or equal to Jc, the data analysis unit determines that the historical review period is F3.
In the embodiment of the invention, the value of the first preset historical review period parameter standard is 1.7, and the value of the second preset historical review period parameter standard is 2.0.
In the embodiment of the invention, the values of the historic review periods F1, F2 and F3 are respectively 15 days, 30 days and 60 days.
Specifically, the data analysis unit is further configured to determine, when the generation of the medical record data by the data processing unit is completed, an association coefficient of the medical record of the two times of diagnosis and treatment according to the current medical record data and the medical record data of the previous review period, and determine, according to a comparison result between the association coefficient and a preset association coefficient Jd0, whether the current medical record data and the medical record data of the previous review period are associated;
if Jd is less than or equal to Jd0, the data analysis unit determines that the current diagnosis and treatment medical record data and the diagnosis and treatment medical record data of the last review period are not associated;
if Jd is larger than Jd0, the data analysis unit determines that the current diagnosis and treatment medical record data and the diagnosis and treatment medical record data of the last review period are associated.
Specifically, the data analysis unit calculates each of the correlation coefficients Jd according to the following formula, and sets；
Wherein U represents the same number of prescription drugs in the current medical record data as in the medical record data of the previous review period, U0 represents the number of prescription drugs in the medical record data of the previous review period, V represents the same number of detection indexes in the current medical record data as in the medical record data of the previous review period, and V0 represents the total number of detection indexes in the medical record data of the previous review period.
In the embodiment of the invention, the preset association coefficient has a value of 1.5.
Specifically, the data acquisition unit is further configured to acquire second historical medical record data of the patient in other medical institutions through big data, and when the data analysis unit determines that the current medical record data and the medical record data in the last review period are not associated, the data analysis unit determines that the content of the second historical medical record data is added into the medical record data according to the association coefficient of the current medical record data and each second historical medical record data.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention. .
Claims (5)
1. An auxiliary management system for a rehabilitation session of a medical patient, comprising:
a first storage unit for storing medical prescription drug data including a drug name, a drug amount at a patient disease development stage, an associated drug name, and a treatment impact weight on the patient disease development stage;
the second storage unit is used for storing first historical medical record data of a patient in a current medical institution, wherein the first historical medical record data comprise test project reports, imaging examination reports, disease diagnosis information and prescription doctor's advice data;
a third storage unit for storing medical examination item data including each detection index name, a disease associated with the detection index, a disease diagnosis weight of the detection index, and an associated detection index;
the data acquisition unit is used for acquiring inquiry data of patient consultation input by a doctor;
the data acquisition unit is respectively connected with the first storage unit, the second storage unit, the third storage unit and the data acquisition unit and is used for acquiring first historical medical record data of a patient in a diagnosis mode and doctor qualification information from the storage units;
the data analysis unit is respectively connected with the data acquisition unit and the data acquisition unit, and is used for determining the medication grade and the examination item grade of the patient in the treatment of the patient according to the last historical treatment medical record data in the treatment medical record of the patient when a doctor carries out the inquiry treatment for the patient in treatment, and determining the medical record acquisition range according to the medication grade and the examination item grade;
the data processing unit is connected with the data analysis unit and is used for generating diagnosis and treatment medical record data of a patient according to the medical record acquisition range and feeding the diagnosis and treatment medical record data back to a doctor to be used as a health basis of a rehabilitation stage of the patient;
the data analysis unit calculates the medication grade comparison parameter Ja according to the following formula, and sets （1）
Where n represents a total number of prescription drugs of the prescription order data, di represents an amount of an i-th prescription drug of the prescription order data, qi represents a treatment influence weight of the i-th prescription drug of the prescription order data;
the data analysis unit determines the medication level of the patient in the rehabilitation stage according to the medication level comparison parameter Ja, and if the medication level comparison parameter is smaller than a first preset medication level comparison parameter standard, the data analysis unit determines that the medication level is a first medication level; if the medication level comparison parameter is greater than or equal to the first preset medication level comparison parameter standard and less than the second preset medication level comparison parameter standard, the data analysis unit determines that the medication level is the second medication level; if the medication level comparison parameter is greater than or equal to a second preset medication level comparison parameter, the data analysis unit determines that the medication level is a third medication level;
the data analysis unit calculates the data according to the following formulaSetting a grade comparison parameter Jb of an inspection item in a rehabilitation stage（2）
Wherein m represents the total number of examination items of the first historical medical record data, cj represents the number of examination indexes of the j-th examination item of the first historical medical record data, and Sj represents the disease diagnosis weight of the j-th examination index of the examination item;
the data analysis unit determines the inspection item grade according to the inspection item grade comparison parameter Jb, and if the inspection item grade comparison parameter is smaller than a first preset inspection item grade comparison parameter standard, the data analysis unit determines the inspection item grade as a first inspection item grade; if the inspection item grade comparison parameter is greater than or equal to a first preset inspection item grade comparison parameter standard and less than a second preset inspection item grade comparison parameter standard, the data analysis unit determines that the inspection item grade is a second inspection item grade; if the inspection item grade comparison parameter is greater than or equal to a second preset inspection item grade comparison parameter standard, the data analysis unit determines that the inspection item grade is a third inspection item grade;
the medical record acquisition range is the history review period of the acquired patient, the data analysis unit calculates the history review period parameter Jc according to the following formula, and the setting is carried outWherein R0 represents a preset medication level, G0 represents a preset inspection item level, rx is an xth medication level, x=1, 2,3, gy is a yth inspection item level, and y=1, 2,3.
2. The auxiliary management system for a rehabilitation stage of a medical patient according to claim 1, wherein the data analysis unit determines the historic review period according to a comparison result of the historic review period parameter Jc and a preset historic review period parameter standard, and if the historic review period parameter is smaller than a first preset historic review period parameter standard, the data analysis unit determines the historic review period to be a first historic review period; if the historical review period parameter is greater than or equal to the first preset historical review period parameter standard and less than the second preset historical review period parameter standard, the data analysis unit determines that the historical review period is the second historical review period; and if the historical review period parameter is greater than or equal to a second preset historical review period parameter standard, the data analysis unit determines that the historical review period is a third historical review period.
3. The auxiliary management system for a rehabilitation stage of a medical patient according to claim 2, wherein the data analysis unit is further configured to determine, when the generation of the medical record data by the data processing unit is completed, a correlation coefficient Jd of the medical record for two times according to the current medical record data and the medical record data of the previous review period, and determine whether there is a correlation between the current medical record data and the medical record data of the previous review period according to a comparison result of the correlation coefficient Jd and a preset correlation coefficient Jd 0;
if Jd is less than or equal to Jd0, the data analysis unit determines that the current diagnosis and treatment medical record data and the diagnosis and treatment medical record data of the last review period are not associated;
if Jd is larger than Jd0, the data analysis unit determines that the current diagnosis and treatment medical record data and the diagnosis and treatment medical record data of the last review period are associated.
4. The auxiliary management system for a rehabilitation phase of a medical patient according to claim 3, wherein the data analysis unit calculates each of the association coefficients Jd according to the following formula, setsWherein U represents the same number of prescription drugs in the current medical record data as in the medical record data of the previous review period, U0 represents the number of prescription drugs in the medical record data of the previous review period, and V represents the current medical record data and the medical record data of the previous review periodV0 represents the total number of detection indexes in the diagnosis and treatment medical record data of the previous review period.
5. The system according to claim 4, wherein the data obtaining unit is further configured to obtain second history medical record data of the patient in other medical institutions through big data, and the data analyzing unit determines that the content of the second history medical record data is added to the medical record data according to a correlation coefficient between the current medical record data and each of the second history medical record data when the data analyzing unit determines that there is no correlation between the current medical record data and the medical record data of the previous review cycle.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310532543.7A CN116246763B (en) | 2023-05-12 | 2023-05-12 | Auxiliary management system for rehabilitation stage of medical patient |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310532543.7A CN116246763B (en) | 2023-05-12 | 2023-05-12 | Auxiliary management system for rehabilitation stage of medical patient |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116246763A CN116246763A (en) | 2023-06-09 |
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| CN104217132A (en) * | 2014-09-30 | 2014-12-17 | 中国科学院苏州生物医学工程技术研究所 | Expert system and diagnosis and treatment system for patient recovery |
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