CN108320804A - The method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system - Google Patents
The method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system Download PDFInfo
- Publication number
- CN108320804A CN108320804A CN201810087712.XA CN201810087712A CN108320804A CN 108320804 A CN108320804 A CN 108320804A CN 201810087712 A CN201810087712 A CN 201810087712A CN 108320804 A CN108320804 A CN 108320804A
- Authority
- CN
- China
- Prior art keywords
- section office
- inspection
- patient
- disease
- rate
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Abstract
The present invention relates to a kind of methods for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system, it is connected with the management information system of hospital including by information gathering subsystem, from information gathering subsystem, acquisition obtains required data from the management information system of the hospital, and collected data are stored into the data storage subsystem, disease complexity measuring and calculating subsystem obtains the data being stored in data storage subsystem, pass through the disease fault network complexity evaluation for calculating and obtaining quantization.Use the method that disease complexity quantitatively evaluating is realized based on disease fault network complexity evaluation system, it can effectively realize the quantitatively evaluating of disease complexity, and processing procedure is simple and fast, compatibility is stronger, stability and operational efficiency are higher, easy to maintain and extension, to effectively, targetedly solve the problems, such as hospital outpatient, emergency treatment, intensive care unit (ICU), No operation patient disease complexity quantitatively evaluating, stable and reliable working performance, the scope of application are relatively broad.
Description
Technical field
The present invention relates to a kind of medical care evaluation system more particularly to a kind of disease fault network complexity evaluation method, in particular to
A method of disease complexity quantitatively evaluating is realized based on disease fault network complexity evaluation system.
Background technology
Disease fault network complexity evaluation is significant in clinical practice, no matter in classification diagnosis and treatment or hospital clinical energy
Analysis disease complexity is required in terms of power evaluation, medical quality control, patient's risk prevention, performance appraisal.But how
Quantum chemical method disease complexity is used for hospital management, still without suitable method.
Country defends planning commission's promulgation《Three-level general hospital medical services ability guide (version in 2016)》(state, which defends, does doctor's letter
(2016) No. 936), by two dimensions of disease and key technology, list respectively basic standard and proposed standard disease and
Clinics are as Appreciation gist.This method does not have Appreciation gist to difinite quality evaluation reference, is one huge from originally
Progress, but still management needs cannot be met.
Disease complexity using the point value evaluation operation associated department of RBRVS is a kind of quantization method.RBRVS is
The medical insurance (Medicare) in the U.S. in 1992 is used to pay the Payment System of doctor's service charge.It relatively accurately has rated often
The technical difficulty of a project completed by doctor, doctor need the direct working time (working strength) paid and technical risk,
And provide a static score value, i.e. RBRVS points.The no dimension of RBRVS points.The medical treatment of it and each area, country takes
Business item price is not related, can be used in different countries and regions.The average point value for project of performing the operation according to each patient,
It can be with the operating difficulty of every hospital of quantitatively evaluating.But Non-operation departments (common name internal medicine) do not have operation project, use this
Method is unable to the complexity of quantitatively evaluating disease.
Case blended index (CMI) using DRGs is the method for another evaluation disease complexity.DRGs is also one
Kind means of payment, derivative CMI are often used in the level of performance of evaluation hospital and doctor.It is that acute disease is hospitalized that DRGs, which is directed to,
What the first page of illness case of patient was calculated, that is to say, that the disease that outpatient, emergency case, intensive care unit (ICU) are hospitalized
People is without first page of illness case, evaluation of having no idea.In addition, this evaluation method is being cured based on each acute disease patient
All diagnosis of institute, the total cost for the treatment of means calculate, and costly project usually has higher CMI values.Medical treatment clothes
The cost level of business project is usually determined by the medical care pricing level of hospital location.Price usually also relates to capital
The factors such as value and the hospital operating costs compensation of input.Therefore, right to use DRGs has no idea evaluation all patients' of hospital
Disease complexity.
The research and application of domestic this respect are CD type rates, are the age according to patient, basic vital sign, medical diagnosis on disease
With the factors such as disposition, by light, weight, slow, anxious it is divided into tetra- type of A, B, C, D.It as evaluation disease complexity method it
One, it is a kind of disease fault network complexity evaluation method between qualitative evaluation and quantitative assessment.
Invention content
The purpose of the present invention is overcoming the above-mentioned prior art, disease complexity journey can effectively be realized by providing one kind
The quantitatively evaluating of degree, processing procedure be simple and fast, it is compatible it is relatively strong, stability and operational efficiency are higher, easy to maintain and extension
Based on disease fault network complexity evaluation system realize disease complexity quantitatively evaluating method.
To achieve the goals above, of the invention that the quantization of disease complexity is realized based on disease fault network complexity evaluation system
The method of evaluation is as follows：
The method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system, the disease are multiple
Miscellaneous degree evaluation system is connected with external management information system for hospitals, obtains the number in the management information system for hospitals
According to, and carry out the disease fault network complexity evaluation that calculating obtains quantization according to the data of acquisition；The disease fault network complexity evaluation
System includes information gathering subsystem, data storage subsystem and disease complexity measuring and calculating subsystem, and the disease is multiple
Miscellaneous degree evaluation system is connected by the information gathering subsystem with management information system for hospitals, information gathering subsystem
Also it is connect with data storage subsystem, data storage subsystem also connects the disease complexity measuring and calculating subsystem, and
The information gathering subsystem carries out data and adopts for obtaining corresponding data from management information system for hospitals
Collection, and the data that the information gathering subsystem obtains are stored to the data storage subsystem；
The data storage subsystem is defeated for storing information gathering subsystem and disease complexity measuring and calculating subsystem
The related data gone out；
The disease complexity measuring and calculating subsystem passes through for obtaining the data being stored in data storage subsystem
Calculate the disease fault network complexity evaluation for obtaining quantization；
It is mainly characterized by, and the method includes the following steps：
(1) information gathering subsystem is connected with the management information system of hospital, from information gathering subsystem from described
Hospital management information system in acquisition obtain needed for data, and collected data are stored into the data and are stored
Subsystem；
(2) the disease complexity measuring and calculating subsystem described in obtains the data being stored in data storage subsystem, passes through
Calculate the disease fault network complexity evaluation for obtaining quantization.
This realizes the step (1) in the method for disease complexity quantitatively evaluating based on disease fault network complexity evaluation system
In, the information gathering subsystem acquires required data from the management information system of the hospital and includes：
Charging item dictionary, including item code, project name, expense category；
Medical technologies service item dictionary, including big class name belonging to item code, project name, project；
Section office's dictionary, including time, month, section office's coding, section office's title；
Section office's month workload, including in the time, in month, section office's coding, section office's title, graduate from old-type opera school person-time, rescue number；
Transfer note, including patient go to a doctor serial number, time of transferring from one department to another, produce section office coding, be transferred to section office coding；
Patient's essential information, including patient's master index, name, date of birth；
Charging item is detailed, including the time, opens branch room coding, item code, the medical serial number of patient, patient's main rope
Draw；
Inspection request, including patient go to a doctor serial number, inspection request serial number, application time；
Inspection result, including inspection request serial number, positive value whether occur, critical value whether occur；
Check that application, including patient are gone to a doctor serial number, inspection application serial number, application time,
Inspection result, including check application serial number, positive value whether occur.
This realizes the information collection in the method for disease complexity quantitatively evaluating based on disease fault network complexity evaluation system
Subsystem timing by from the information management system of hospital the storage of collected data to the data storage subsystem.
This is realized based on disease fault network complexity evaluation system in the step (2) in the method for disease complexity quantitatively evaluating
Disease complexity calculates the data that subsystem is obtained from the data storage subsystem：
Section office's set, patient's set of each section office, the inspection project major class set of every patient of each section office participation, inspection
It tests major class sum, the inspection item major class set that each every patient of section office participates in, check major class sum, each every disease of section office
There is every the inspection project set of positive value, each section office disease in every the inspection item set of people's participation, each section office patient
There is every inspection item set, each section office disease for examining every project set, each section office patient to participate in of critical value in people
Age of the inspection item set of positive value occurs in people, the graduating from old-type opera school person-time of each section office, each section office every graduate from old-type opera school patient, each
The rescue rate of section office.
This is realized based on disease fault network complexity evaluation system in the step (2) in the method for disease complexity quantitatively evaluating
Disease complexity measuring and calculating subsystem is calculated according to the data obtained from data storage subsystem, and it is every to obtain each section office
Position the inspection coverage rate of patient, the inspection coverage rate of every patient of each section office, every patient of each section office inspection positive rate,
The critical rate of inspection of each every patient of section office, the inspection covering for checking positive rate, each section office of every patient of each section office
Rate, the inspection coverage rate of each section office, each section office examine positive rate, the critical rates of inspection of each section office, each section office
Check positive rate, each section office graduate from old-type opera school average age and the rescue rate of each section office.
This realizes that the disease disease in the method for disease complexity quantitatively evaluating is multiple based on disease fault network complexity evaluation system
The step of miscellaneous degree measuring and calculating subsystem is calculated according to the data obtained from data storage subsystem include：
(2.1) it is obtained by the following formula the inspection coverage rate of every patient of each section office：
Wherein, otijFor the inspection coverage rate of every patient of each section office, ctijFor the inspection item of every patient of each section office
Mesh major class set, CTFor the inspection major class sum of each section office；
It is obtained by the following formula the inspection coverage rate of every patient of each section office：
Wherein, oeijFor the inspection coverage rate of every patient of each section office, ceijFor the check item of every patient of each section office
Mesh major class set, CEFor the inspection major class sum of each section office；
It is obtained by the following formula the inspection positive rate of every patient of each section office：
Wherein, rtijFor the inspection positive rate of every patient of each section office, ntijThe inspection participated in for every patient of each section office
Test the number of project set, ptijOccurs the inspection project set size of positive value for every patient of each section office；
It is obtained by the following formula the inspection positive rate of every patient of each section office：
Wherein, reijFor the inspection positive rate of every patient of each section office, neijThe inspection participated in for every patient of each section office
Look into the number of project set, peijFor the inspection positive rate of every patient of each section office；
It is obtained by the following formula the average age of graduating from old-type opera school of each section office：
Wherein, aiFor the average age of graduating from old-type opera school of each section office, ainFor the age of the every patient that graduates from old-type opera school of each section office；
It is obtained by the following formula the rescue rate of each section office：
Wherein, qiFor the rescue rate of each section office, M is the rescue number of section office, and N is graduating from old-type opera school person-time for section office；
(2.2) it is obtained by the following formula the inspection coverage rate of each section office：
Wherein, otiFor the inspection coverage rate of each section office, otijFor the inspection coverage rate of every patient of each section office, NiFor
The number of graduating from old-type opera school of each section office, SiGather for the patient of each section office；
It is obtained by the following formula the inspection coverage rate of each section office：
Wherein, oeiFor the inspection coverage rate of each section office, oeijFor the inspection coverage rate of every patient of each section office；
It is obtained by the following formula the inspection positive rate of each section office：
Wherein, rtiFor the inspection positive rate of each section office, rtijFor the inspection positive rate of every patient of each section office；
It is obtained by the following formula the critical rate of inspection of each section office：
Wherein, vtiFor the critical rate of inspection of each section office, vtijFor the critical rate of inspection of every patient of each section office；
It is obtained by the following formula the inspection positive rate of each section office：
Wherein, reiFor the inspection positive rate of each section office, reijFor the inspection positive rate of every patient of each section office.
This realizes the step (2.2) in the method for disease complexity quantitatively evaluating based on disease fault network complexity evaluation system
It is further comprising the steps of afterwards：
(2.3) the disease complexity measuring and calculating subsystem described in calculates it by following formula the data of acquisition into rower
Standardization：
Wherein, xiIt is data to be normalized,It is to have completed standardized data, T is section office's set；
Wherein, the data being standardized include：
The inspection coverage rate of each section office, inspection positive rate, the critical rate of inspection of each section office, the Mei Geke of each section office
Being averaged of the inspection positive rate of room and each section office is graduated from old-type opera school the rescue rate at age and each section office.
This realizes the step (2.3) in the method for disease complexity quantitatively evaluating based on disease fault network complexity evaluation system
It is further comprising the steps of afterwards：
The disease complexity measuring and calculating subsystem obtains disease complexity journey according to the standardized data obtained are calculated
Degree evaluation, and the calculation for obtaining disease fault network complexity evaluation is as follows：
Wherein, UiFor disease complexity, k1It is to examine covering rate coefficient, k2It is to examine positive rate coefficient, k3It is to examine danger
Anxious rate coefficient, k4It is to check covering rate coefficient, k5It is to check positive rate coefficient, k6It is average age coefficient of graduating from old-type opera school, k7It is rescue rate
Coefficient,Be standardized inspection coverage rate,Be standardized inspection positive rate,Be it is standardized examine critical rate,Be standardized inspection coverage rate,Be standardized inspection positive rate,It is standardized average age of graduating from old-type opera school,It is
Standardized rescue rate.
The method that disease complexity quantitatively evaluating is realized based on disease fault network complexity evaluation system of the present invention is used,
It can effectively realize the quantitatively evaluating of disease complexity, and processing procedure is simple and fast, compatible stronger, stability and fortune
Line efficiency is higher, easy to maintain and extension, to effectively, targetedly solve hospital outpatient, emergency treatment, intensive care unit
(ICU), the problem of the disease complexity quantitatively evaluating of No operation patient, stable and reliable working performance, the scope of application is more wide
It is general.
Description of the drawings
Fig. 1 is in the method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system of the present invention
Acquisition section office examine coverage rate schematic diagram.
Fig. 2 is in the method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system of the present invention
Section office examine positive rate schematic diagram.
Fig. 3 is in the method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system of the present invention
Section office graduate from old-type opera school average age schematic diagram.
Fig. 4 is in the method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system of the present invention
Section office's rescue rate schematic diagram.
Fig. 5 is in the method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system of the present invention
Standardized section office examine coverage rate schematic diagram.
Fig. 6 is in the method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system of the present invention
Standardized section office examine positive rate schematic diagram.
Fig. 7 is in the method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system of the present invention
Standardized section office graduate from old-type opera school average age schematic diagram.
Fig. 8 is in the method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system of the present invention
Standardized section office's rescue rate schematic diagram.
Fig. 9 is in the method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system of the present invention
Section office disease complexity, examine coverage rate, examine positive rate, the signal of the standard value of average age of graduating from old-type opera school and rescue rate
Figure.
Figure 10 is a kind of system architecture schematic diagram of specific implementation mode of the disease fault network complexity evaluation system of the present invention.
Figure 11 is the method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system of the present invention
A kind of specific implementation mode precedence diagram.
Figure 12 is the method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system of the present invention
A kind of specific implementation mode network topological diagram.
Figure 13 is the method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system of the present invention
A kind of results of measuring evaluate schematic diagram.
Specific implementation mode
In order to more clearly describe the technology contents of the present invention, carried out with reference to specific embodiment further
Description.
It please refers to Fig.1 to shown in Figure 13, it is of the invention that disease complexity is realized based on disease fault network complexity evaluation system
The method of quantitatively evaluating, wherein the disease fault network complexity evaluation system is connected with external management information system for hospitals, obtains
Data in the management information system for hospitals, and carry out the disease complexity that calculating obtains quantization according to the data of acquisition
Evaluation, the disease fault network complexity evaluation system includes information gathering subsystem, data storage subsystem and disease complexity journey
Degree measuring and calculating subsystem, and the disease fault network complexity evaluation system passes through the information gathering subsystem and the hospital
Management information system is connected, and information gathering subsystem is also connect with data storage subsystem, and data storage subsystem also connects
The disease complexity calculates subsystem, and
The information gathering subsystem from the management information system for hospitals for obtaining corresponding data, into line number
According to acquisition, and the data that the information gathering subsystem obtains are stored to the data storage subsystem；
The data storage subsystem is defeated for storing information gathering subsystem and disease complexity measuring and calculating subsystem
The related data gone out；
The disease complexity measuring and calculating subsystem passes through for obtaining the data being stored in data storage subsystem
Calculate the disease fault network complexity evaluation for obtaining quantization.
In a kind of preferable embodiment of the present invention, the information gathering subsystem is from management information system for hospitals
The data of middle acquisition include：
Charging item dictionary, including item code, project name, expense category；
Medical technologies service item dictionary, including big class name belonging to item code, project name, project；
Section office's dictionary, including time, month, section office's coding, section office's title；
Section office's month workload, including the time, month, section office's coding, section office's title, graduate from old-type opera school person-time, successfully rescue number, disease
Everybody is secondary；
Transfer note, including patient go to a doctor serial number, time of transferring from one department to another, produce section office coding, be transferred to section office coding；
Patient's essential information, including patient's master index, name, date of birth；
Charging item is detailed, including the time, opens branch room coding, item code, the medical serial number of patient, patient's main rope
Draw；
Inspection request, including patient go to a doctor serial number, inspection request serial number, application time；
Inspection result, including inspection request serial number, positive value whether occur, critical value whether occur；
Check that application, including patient are gone to a doctor serial number, inspection application serial number, application time,
Inspection result, including check application serial number, positive value whether occur.
In a kind of more preferably embodiment, the disease complexity calculates subsystem and stores subsystem from the data
The data obtained in system include：
Section office's set, patient's set of each section office, the inspection project major class set of every patient of each section office participation, inspection
It tests major class sum, the inspection item major class set that each every patient of section office participates in, check major class sum, each every disease of section office
There is every the inspection project set of positive value, each section office disease in every the inspection item set of people's participation, each section office patient
There is every inspection item set, each section office disease for examining every project set, each section office patient to participate in of critical value in people
Age of the inspection item set of positive value occurs in people, the graduating from old-type opera school person-time of each section office, each section office every graduate from old-type opera school patient, each
The rescue rate of section office.
In a kind of more preferably embodiment of the present invention, the disease complexity calculates subsystem according to from data
The data obtained in storage subsystem are calculated, and the inspection coverage rate of every patient of each section office, each section office every are obtained
The inspection coverage rate of patient, every patient of each section office examine positive rate, every patient of each section office the critical rate of inspection, every
The inspection positive rate of every patient of a section office, the inspection coverage rate of each section office, the inspection coverage rate of each section office, each section office
Inspection positive rate, the critical rates of inspection of each section office, the inspection positive rate of each section office, each section office average age of graduating from old-type opera school
With the rescue rate of each section office.
In a kind of more preferably embodiment of the present invention, the disease complexity calculates subsystem and obtains each section
The calculation of the inspection coverage rate of the patient of room every is as follows：
Wherein, otijFor the inspection coverage rate of every patient of each section office, ctijFor the inspection item of every patient of each section office
Mesh major class set, CTFor the inspection major class sum of each section office；
The calculation for obtaining the inspection coverage rate of every patient of each section office is as follows：
Wherein, oeijFor the inspection coverage rate of every patient of each section office, ceijFor the check item of every patient of each section office
Mesh major class set, CEFor the inspection major class sum of each section office；
The calculation for obtaining the inspection positive rate of every patient of each section office is as follows：
Wherein, rtijFor the inspection positive rate of every patient of each section office, ntijThe inspection participated in for every patient of each section office
Test the number of project set, ptijOccurs the inspection project set size of positive value for every patient of each section office；
The calculation for obtaining the inspection positive rate of every patient of each section office is as follows：
Wherein, reijFor the inspection positive rate of every patient of each section office, neijThe inspection participated in for every patient of each section office
Look into the number of project set, peijFor the inspection positive rate of every patient of each section office；
The calculation for obtaining the inspection coverage rate of each section office is as follows：
Wherein, otiFor the inspection coverage rate of each section office, otijFor the inspection coverage rate of every patient of each section office, NiFor
The number of graduating from old-type opera school of each section office, SiGather for the patient of each section office；
The calculation for obtaining the inspection coverage rate of each section office is as follows：
Wherein, oeiFor the inspection coverage rate of each section office, oeijFor the inspection coverage rate of every patient of each section office；
The calculation for obtaining the inspection positive rate of each section office is as follows：
Wherein, rtiFor the inspection positive rate of each section office, rtijFor the inspection positive rate of every patient of each section office；
The calculation for obtaining the critical rate of inspection of each section office is as follows：
Wherein, vtiFor the critical rate of inspection of each section office, vtijFor the critical rate of inspection of every patient of each section office；
The calculation for obtaining the inspection positive rate of each section office is as follows：
Wherein, reiFor the inspection positive rate of each section office, reijFor the inspection positive rate of every patient of each section office；
The calculation for obtaining the average age of graduating from old-type opera school of each section office is as follows：
Wherein, aiFor the average age of graduating from old-type opera school of each section office, ainFor the age of the every patient that graduates from old-type opera school of each section office；
The calculation for obtaining the rescue rate of each section office is as follows：
Wherein, qiFor the rescue rate of each section office, M is the successful rescue number of section office, and N is the patient person-time of section office.
In a kind of more preferably embodiment of the present invention, disease complexity measuring and calculating subsystem also calculates it
The data of acquisition are standardized, and the data being standardized include：
The inspection coverage rate of each section office, inspection positive rate, the critical rate of inspection of each section office, the Mei Geke of each section office
Being averaged of the inspection positive rate of room and each section office is graduated from old-type opera school the rescue rate at age and each section office；
And standardized calculation is as follows：
Wherein, xiIt is data to be normalized,It is to have completed standardized data, T is section office's set.
In a kind of more preferably embodiment of the present invention, the disease complexity calculates subsystem according to standardization
Data calculated, obtain disease fault network complexity evaluation, and obtain disease fault network complexity evaluation calculation it is as follows：
Wherein, UiFor disease complexity, k1It is to examine covering rate coefficient, k2It is to examine positive rate coefficient, k3It is to examine danger
Anxious rate coefficient, k4It is to check covering rate coefficient, k5It is to check positive rate coefficient, k6It is average age coefficient of graduating from old-type opera school, k7It is rescue rate
Coefficient,Be standardized inspection coverage rate,Be standardized inspection positive rate,Be it is standardized examine critical rate,
Be standardized inspection coverage rate,Be standardized inspection positive rate,It is standardized average age of graduating from old-type opera school,It is standard
The rescue rate of change.
In a kind of more preferably embodiment of the present invention, information gathering subsystem timing will be from the information of hospital
Collected data are stored to the data storage subsystem in management system.
In a kind of more preferably embodiment of the present invention, the disease complexity calculates subsystem and calculates acquisition
Data also are stored in the data storage subsystem.
The method that above-mentioned disease fault network complexity evaluation system based on the present invention realizes disease fault network complexity evaluation, wherein
The method includes the following steps：
(1) information gathering subsystem is connected with management information system for hospitals, from information gathering subsystem from described
Acquisition obtains required data in management information system for hospitals, and collected data are stored into the data and store subsystem
System；
(2) the disease complexity measuring and calculating subsystem described in obtains the data being stored in data storage subsystem, passes through
Calculate the disease fault network complexity evaluation for obtaining quantization.
The present invention a kind of preferable embodiment in, in the step (1), the information gathering subsystem from
Required data are acquired in the management information system for hospitals includes：
Charging item dictionary, including item code, project name, expense category；
Medical technologies service item dictionary, including big class name belonging to item code, project name, project；
Section office's dictionary, including time, month, section office's coding, section office's title；
Section office's month workload, including the time, month, section office's coding, section office's title, graduate from old-type opera school person-time, successfully rescue number, disease
Everybody is secondary；
Transfer note, including patient go to a doctor serial number, time of transferring from one department to another, produce section office coding, be transferred to section office coding；
Patient's essential information, including patient's master index, name, date of birth；
Charging item is detailed, including the time, opens branch room coding, item code, the medical serial number of patient, patient's main rope
Draw；
Inspection request, including patient go to a doctor serial number, inspection request serial number, application time；
Inspection result, including inspection request serial number, positive value whether occur, critical value whether occur；
Check that application, including patient are gone to a doctor serial number, inspection application serial number, application time,
Inspection result, including check application serial number, positive value whether occur.
In a kind of more preferably embodiment of the present invention, information gathering subsystem timing will be from the information of hospital
Collected data are stored to the data storage subsystem in management system.
In a kind of more preferably embodiment of the present invention, disease complexity calculates subsystem in the step (2)
The data obtained from the data storage subsystem include：
Section office's set, patient's set of each section office, the inspection project major class set of every patient of each section office participation, inspection
It tests major class sum, the inspection item major class set that each every patient of section office participates in, check major class sum, each every disease of section office
There is every the inspection project set of positive value, each section office disease in every the inspection item set of people's participation, each section office patient
There is every inspection item set, each section office disease for examining every project set, each section office patient to participate in of critical value in people
Age of the inspection item set of positive value occurs in people, the graduating from old-type opera school person-time of each section office, each section office every graduate from old-type opera school patient, each
The rescue rate of section office.
In a kind of more preferably embodiment of the present invention, disease complexity calculates subsystem in the step (2)
It is calculated according to the data obtained from data storage subsystem, obtains the inspection coverage rate, every of every patient of each section office
The inspection of the inspection coverage rate of every patient of a section office, inspection every the positive rate, each section office patient of every patient of each section office
Test the inspection covering for checking positive rate, the inspection coverage rate of each section office, each section office of every critical rate, each section office patient
Rate, each section office examine positive rate, the critical rates of inspection of each section office, each section office to check positive rate, each section office
The rescue rate of average age of graduating from old-type opera school and each section office.
In a kind of more preferably embodiment of the present invention, the disease disease complexity calculates subsystem according to from number
The step of being calculated according to the data obtained in storage subsystem include：
(2.1) the inspection covering for obtaining the inspection coverage rate of each every patient of section office, obtaining each every patient of section office
Rate, obtains each the inspection positive rate examined positive rate, obtain each every patient of section office for obtaining each every patient of section office
The average age of graduating from old-type opera school of section office, the rescue rate for obtaining each section office；
(2.2) the inspection coverage rate for obtaining each section office, obtains each section office at the inspection coverage rate for obtaining each section office
Positive rate is examined, the critical rate of inspection of each section office is obtained, obtains the inspection positive rate of each section office.
It is further comprising the steps of after the step (2.2) in a kind of more preferably embodiment of the present invention：
(2.3) data that the disease complexity measuring and calculating subsystem described in also calculates it acquisition are standardized, and are marked
The data of standardization include：
The inspection coverage rate of each section office, inspection positive rate, the critical rate of inspection of each section office, the Mei Geke of each section office
Being averaged of the inspection positive rate of room and each section office is graduated from old-type opera school the rescue rate at age and each section office.
It is further comprising the steps of after the step (2.3) in a kind of more preferably embodiment of the present invention：
The disease complexity measuring and calculating subsystem obtains disease complexity journey according to the standardized data obtained are calculated
Degree evaluation.
In the practical application of the present invention, opened by the section office what all patients of a certain period participated in by a section office
Single inspection item and project is examined, in conjunction with the section office graduating from old-type opera school person-time in this period, obtains the section office in this period
Examine coverage rate, check coverage rate, examine positive rate, check positive rate and examine critical value, in conjunction with the section office this when
Graduate from old-type opera school average age and the rescue rate of phase, calculate the section office this period disease fault network complexity evaluation index.
First, the inspection coverage rate of a section office and inspection coverage rate are that section office's disease complexity analysis is needed to be considered
Key factor.The calculating of coverage rate is related to the classification of Hospital Project.The inspection of hospital, inspection item are divided into some and examine, examine
Major class is looked into, each major class is made of one group of similar inspection, inspection item.
The inspection coverage rate of one section office refers to that the section office examine the sum of coverage rate and the section in all patients of a certain period
The ratio graduated from old-type opera school person-time of the room in this period.The inspection coverage rate of one patient refers to the disease in all inspection major class of hospital
The accounting for the affiliated major class of inspection project that people participates in.The inspection coverage rate of one patient is higher, illustrates that the disease of the patient is complicated
Degree is higher.The inspection coverage rate of one section office is higher, and the disease complexity of the section office is higher.
The inspection coverage rate of one section office refers to that the section office check the sum of coverage rate and the section in all patients of a certain period
The ratio graduated from old-type opera school person-time of the room in this period.The inspection coverage rate of one patient refers to the disease in all inspection major class of hospital
The accounting for the affiliated major class of inspection item that people participates in.The inspection coverage rate of one patient is higher, illustrates that the disease of the patient is complicated
Degree is higher.The inspection coverage rate of one section office is higher, and the disease complexity of the section office is higher.
Secondly, the inspection positive rate of a section office, the critical rate of inspection and inspection positive rate are also section office's disease complexity
Analyze key factor needed to be considered.The calculating of positive rate and critical rate is related to the result of project.The result of hospital inspection project
It includes whether positive value occur and critical value whether occurs.The result of hospital's inspection item includes whether positive value occur.
The inspection positive rate of one section office refers to that the section office examine the sum of positive rate and the section in all patients of a certain period
The ratio graduated from old-type opera school person-time of the room in this period.The inspection positive rate of one patient refer to the patient participate in inspection project in,
There is the accounting of the inspection project of positive value.The inspection positive rate of one patient is higher, illustrates the disease complexity of the patient
It is higher.The inspection positive rate of one section office is higher, and the disease complexity of the section office is higher.
The inspection positive rate of one section office refers to the section office in the sum of inspection positive rate of all patients of a certain period and this
The ratio graduated from old-type opera school person-time of the section office in this period.The inspection positive rate of one patient refers to the inspection item that the patient participates in
In, there is the accounting of the inspection item of positive value.The inspection positive rate of one patient is higher, illustrates the disease complexity journey of the patient
Degree is higher.The inspection positive rate of one section office is higher, and the disease complexity of the section office is higher.
The critical rate of inspection of one section office refer to the sum of critical rate of inspection of all patients of the section office in a certain period with
The ratio graduated from old-type opera school person-time of the section office in this period.The critical rate of inspection of one patient refers to the inspection project that the patient participates in
In, there is the accounting of the inspection project of critical value.The critical rate of inspection of one patient is bigger, illustrates the disease complexity journey of the patient
Degree is higher.The critical rate of inspection of one section office is higher, and the disease complexity of the section office is higher.
In addition, when patient of the section office in a certain period graduates from old-type opera school person-time, average age of graduating from old-type opera school and rescue rate are also this
Phase section office's disease complexity analyzes key factor needed to be considered.Section office patient graduate from old-type opera school person-time refer to this period from this
The patient person-time that section office leave hospital or transfer from one department to another.Graduating from old-type opera school for one section office is person-time lower, and the disease complexity of the section office is higher.Go out
The average age of section patient refers to average value of the section office at all ages of the patient when graduating from old-type opera school of graduating from old-type opera school in a certain period.One
The average age of graduating from old-type opera school of a section office is bigger, and section office's disease complexity is higher.The rescue rate of section office refers to a section office at certain
In all patients in one period, in the accounting for the patient that this period is successfully rescued by the section office.The rescue rate of one section office is got over
The disease complexity of height, the section office is higher.
In specific implementation process, disease fault network complexity evaluation system realizes the process of disease fault network complexity evaluation specifically such as
Under：
1, the disease complexity of section office calculating need by examine coverage rate, check coverage rate, examine positive rate,
It checks positive rate, the critical rate of inspection, average age of graduating from old-type opera school and rescue rate is standardized and linear transformation.Standardization
Standard value is obtained after removing the dimension of data.The data of the multiple dimensions of section office's disease complexity are mapped to by linear transformation formula
The value of one dimension.From the following data of acquirement in hospital's management of disease fault network complexity evaluation system (HIS)：
(1) charging item dictionary, including item code, project name, expense category (such as " Laboratory Fee ", " survey fees "),
(2) medical technologies service item dictionary, including big class name belonging to item code, project name, project,
(3) section office's dictionary, including time, month, section office's coding, section office's title,
(4) section office's month workload, including the time, month, section office's coding, section office's title, graduate from old-type opera school person-time, successfully rescue is secondary
Number, patient person-time,
(5) transfer note, including patient go to a doctor serial number, time of transferring from one department to another, produce section office coding, be transferred to section office coding,
(6) patient's essential information, including patient's master index, name, date of birth,
(7) charging item is detailed, including the time, opens branch room coding, item code, the medical serial number of patient, Bing Renzhu
Index,
(8) inspection request, including patient go to a doctor serial number, inspection request serial number, application time,
(9) inspection result, including inspection request serial number, positive value whether occur, critical value whether occur,
(10) check that application, including patient are gone to a doctor serial number, inspection application serial number, application time,
(11) inspection result, including check application serial number, positive value whether occur.
2, the set of a certain period section office, set sizes T are obtained by section office's dictionary.
3, the patient that this period each section office are obtained by section office's dictionary, charging item detail gathers, and set sizes are
Si.Wherein, 1≤i≤T.
4, this period each section office every are obtained by section office's dictionary, charging item detail, medical technologies service item dictionary
The inspection project major class set that patient participates in, set sizes ctij.Wherein, 1≤i≤T, 1≤j≤Si。
5, the inspection major class sum C of hospital is calculated by charging item dictionary, medical technologies service item dictionaryT。
6, pass through the inspection project major class set ct of this period every patient of each section officeijIt is total with the inspection major class of hospital
Number CT, calculate the inspection coverage rate ot of this period every patient of each section officeij, and
7, by charging item, detailed, medical technologies service item dictionary obtains what every patient of this period each section office participated in
Inspection item major class set, set sizes ceij.Wherein, 1≤i≤T, 1≤j≤Si。
8, the inspection major class sum C of hospital is calculated by charging item dictionary, medical technologies service item dictionaryE。
9, pass through the inspection item major class set sizes ce of this period every patient of each section officeijIt is big with the inspection of hospital
Class sum CE, calculate the inspection coverage rate oe of this period every patient of each section officeij.Wherein, 1≤i≤T, 1≤j≤Si, and
10, the inspection project set of every patient of this period each section office participation, collection are obtained by charging item detail
Conjunction size is ntij.Wherein, 1≤i≤T, 1≤j≤Si。
11, by charging item, detailed, inspection request and inspection result obtain this period every patient of each section office and go out
The inspection project set of existing positive value, set sizes ptij.Wherein, 1≤i≤T, 1≤j≤Si。
12, the inspection project set size nt participated in by every patient of this period each section officeijIt is worth with there is the positive
Inspection project set size ptij, calculate the inspection positive rate rt of this period every patient of each section officeij.Wherein, 1≤i
≤ T, 1≤j≤Si, and
13, by charging item, detailed, inspection request and inspection result obtain this period every patient of each section office and go out
The inspection project set of existing critical value, set sizes dtij.Wherein, 1≤i≤T, 1≤j≤Si。
14, the inspection project set size nt participated in by every patient of this period each section officeijWith the critical value of appearance
Inspection project set size dtij, calculate the critical rate vt of inspection of this period every patient of each section officeij.Wherein, 1≤i
≤ T, 1≤j≤Si。
15, the inspection item set of every patient of this period each section office participation, collection are obtained by charging item detail
Conjunction size is neij.Wherein, 1≤i≤T, 1≤j≤Si。
16, detailed by charging item, inspection application and inspection result obtain this period every patient of each section office and go out
The inspection item set of existing positive value, set sizes peij.Wherein, 1≤i≤T, 1≤j≤Si。
17, the inspection item set sizes ne participated in by every patient of this period each section officeijIt is worth with there is the positive
Inspection item set sizes peij, calculate the inspection positive rate re of this period every patient of each section officeij.Wherein, 1≤i
≤ T, 1≤j≤Si, and
18, detailed by charging item, section office's moon workload obtains person-time N that graduates from old-type opera school of this period each section officei.Its
In,
1≤i≤T
1≤i≤T。
19, the average age a that graduates from old-type opera school of this period each section office is calculatedi.Wherein, 1≤i≤T, 1≤n≤Ni, and
20, pass through the inspection coverage rate ot of this period every patient of each section officeijWith person-time N that graduates from old-type opera schooli, calculate each section
The inspection coverage rate ot of roomi.Wherein, 1≤i≤T, 1≤j≤Si, and
21, pass through the inspection coverage rate oe of this period every patient of each section officeijWith person-time N that graduates from old-type opera schooli, calculate each section
The inspection coverage rate oe of roomi.Wherein, 1≤i≤T, 1≤j≤Si, and
22, pass through the inspection positive rate rt of this period every patient of each section officeijWith person-time N that graduates from old-type opera schooli, calculate each section
The inspection positive rate rt of roomi.Wherein, 1≤i≤T, 1≤j≤Si, and
23, pass through the critical rate vt of inspection of this period every patient of each section officeijWith person-time N that graduates from old-type opera schooli, calculate each section
The critical rate vt of inspection of roomi.Wherein, 1≤i≤T, 1≤j≤Si, and
24, pass through the inspection positive rate re of this period every patient of each section officeijWith person-time N that graduates from old-type opera schooli, calculate each section
The inspection positive rate re of roomi.Wherein, 1≤i≤T, 1≤j≤Si, and
25, by charging item detail, transfer note table, patient information, this period each section office every is obtained and are graduated from old-type opera school
The age a of patientin.Wherein, 1≤i≤T, 1≤n≤Ni。
26, the rescue rate q of this period each section office is obtained by section office month workloadi,
Wherein, qiFor the rescue rate of each section office, M is the successful rescue number of section office, and N is the patient person-time of section office.
27, the inspection coverage rate ot of standardization this period each section officei, examine positive rate rti, examine critical rate
vti, check coverage rate oei, check positive rate rei, average age of graduating from old-type opera school aiWith rescue rate qi, obtain standardized inspection coverage rate
oti, standardized inspection positive rateIt is standardized to examine critical rateStandardized inspection coverage rateIt is standardized
Check positive rateStandardized average age of graduating from old-type opera schoolWith standardized rescue rateOriginal value is standardized
Standard value is obtained, different degrees of influence can be generated to result of calculation to avoid different dimensions.Normalization function is as follows.
Wherein, 1≤i≤T, and
28, the disease complexity U of a section office is calculatedi.Specific formula is as follows.Wherein, k1It is to examine coverage rate system
Number, k2It is to examine positive rate coefficient, k3It is to examine critical rate coefficient, k4It is to check covering rate coefficient, k5It is to check positive rate system
Number, k6It is average age coefficient of graduating from old-type opera school, k7It is rescue rate coefficient, and
In a specific embodiment, it is positive in the inspection coverage rate in a certain year, inspection to calculate 37 section office of certain hospital for we
Property rate, average age of graduating from old-type opera school and rescue rate, as shown in Figures 1 to 4.Their standard value is as shown in Fig. 5 to Fig. 8.Then, we
The disease complexity of this 37 section office is calculated by section office's disease complexity calculation formula, as shown in Figure 9.In formula
It examines covering rate coefficient, positive rate coefficient, average age of graduating from old-type opera school coefficient and rescue rate coefficient is examined to be both configured to 1.
It can see that from Fig. 1 to Fig. 4, examine coverage rate, examine positive rate opposite with the regularity of distribution for average age of graduating from old-type opera school
It is more approximate for rescue rate.Compare Fig. 4 to can see that with Fig. 1, Fig. 2 and Fig. 3, rescue rate and inspection coverage rate, inspection
Positive rate and the distributional difference for average age of graduating from old-type opera school are larger.Because relative to inspection coverage rate, examines positive rate and graduate from old-type opera school
The distribution of average age, rescue rate is concentrated mainly on a small number of section office.
As shown in figure 9, the disease complexity between different department is discrepant.This is because the inspection of different department
Coverage rate examines positive rate, average age of graduating from old-type opera school and rescue rate different.The disease complexity of identical section office is in examine and cover
Rate examines positive rate, the average level of average age of graduating from old-type opera school and rescue rate.This is because section office's disease complexity of this experiment
The inspection coverage rate that is used in calculation formula, examine positive rate, the coefficient of average age of graduating from old-type opera school and rescue rate it is equal.
The disease fault network complexity evaluation system that the present invention includes is by information gathering subsystem, data storage subsystem and disease
Complexity calculates subsystem.System overview figure is as shown in Figure 10, and sequence chart is as shown in figure 11, network topological diagram such as Figure 12 institutes
Show.
In specific implementation process, information gathering subsystem refers to data pick-up and the conversion for being deployed in hospital server
(ETL) system.The bottom that information gathering subsystem passes through network and each Major Members of hospital's disease fault network complexity evaluation system
Database carries out network connection, and self-defining data collection rule is timed data pick-up.It is responsible for turning for data in gatherer process
It changes and cleans.The data of acquisition include patient's essential information, section office's information, inspection item information, inspection project information etc..Information
Acquisition subsystem can be assigned manually or timing obtains above-mentioned various information from hospital's disease fault network complexity evaluation systematic group, and will
In data summarization to data storage subsystem.Whole process also needs to complete the filtering of data, cleaning, whole in addition to the migration of data
It closes, to ensure the completeness and efficiency of data.
Data storage subsystem is a storage system operated on database server and its storage hardware, is passed through
Database to storage data, system measuring and calculating historical data effectively managed, provide regularly data increment store function,
The input/output function of data supports the safe tasks such as incremental backup and the full backup of data.The data stored are all passed through
The conversion and cleaning of information gathering subsystem have and format, standardize, the identifiable data format of subsystem.
Disease complexity measuring and calculating subsystem is mainly responsible for the analysis of data, the foundation of model and the evaluation of results of measuring
And adjustment, such as Figure 13.Disease complexity measuring and calculating subsystem obtains historical data from data storage subsystem, in advance to each section
Room carries out disease complexity measuring and calculating.Calculate the assessment of verification and hospital leaders expert of the evaluation result by statistical theory,
The Modifying model of next step and perfect can be entered.The subsystem can iteratively be run, to gradually correct disease complexity journey
The deviation occurred in degree evaluation procedure, optimizes the weight between each coefficient, improves disease fault network complexity evaluation system and result.
It can see that from Fig. 5 to Fig. 8, the section office after standardizing examine coverage rate, section office that positive rate, section office is examined to graduate from old-type opera school
Average age and section office's rescue rate and the distribution before standardization are completely the same.Their ratios between section office's disease complexity
Relatively as shown in Figure 9.
The method that disease complexity quantitatively evaluating is realized based on disease fault network complexity evaluation system of the present invention is used,
It can effectively realize the quantitatively evaluating of disease complexity, and processing procedure is simple and fast, compatible stronger, stability and fortune
Line efficiency is higher, easy to maintain and extension, to effectively, targetedly solve hospital outpatient, emergency treatment, intensive care unit
(ICU), the problem of the disease complexity quantitatively evaluating of No operation patient, stable and reliable working performance, the scope of application is more wide
It is general.In this description, the present invention is described with reference to its specific embodiment.But it is clear that can still make various
Modification and transformation are without departing from the spirit and scope of the invention.Therefore, the description and the appended drawings should be considered as it is illustrative rather than
It is restrictive.
Claims (8)
1. a kind of method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system, the disease are multiple
Miscellaneous degree evaluation system is connected with external management information system for hospitals, obtains the number in the management information system for hospitals
According to, and carry out the disease fault network complexity evaluation that calculating obtains quantization according to the data of acquisition；The disease fault network complexity evaluation
System includes information gathering subsystem, data storage subsystem and disease complexity measuring and calculating subsystem, and the disease is multiple
Miscellaneous degree evaluation system is connected by the information gathering subsystem with management information system for hospitals, information gathering subsystem
Also it is connect with data storage subsystem, data storage subsystem also connects the disease complexity measuring and calculating subsystem, and
The information gathering subsystem is used to obtain corresponding data from management information system for hospitals, carries out data acquisition, and
The data that the information gathering subsystem obtains are stored to the data storage subsystem；
The data storage subsystem is used to store information gathering subsystem and disease complexity calculates subsystem output
Related data；
The disease complexity measuring and calculating subsystem passes through calculating for obtaining the data being stored in data storage subsystem
Obtain the disease fault network complexity evaluation of quantization；
It is characterized in that, the method includes the following steps：
(1) information gathering subsystem is connected with the management information system of hospital, from information gathering subsystem from the doctor
Acquisition obtains required data in the management information system of institute, and collected data are stored into the data and store subsystem
System；
(2) the disease complexity measuring and calculating subsystem described in obtains the data being stored in data storage subsystem, passes through calculating
Obtain the disease fault network complexity evaluation of quantization.
2. the side according to claim 1 for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system
Method, which is characterized in that in the step (1), management information system of the information gathering subsystem from the hospital
Data needed for middle acquisition include：
Charging item dictionary, including item code, project name, expense category；
Medical technologies service item dictionary, including big class name belonging to item code, project name, project；
Section office's dictionary, including time, month, section office's coding, section office's title；
Section office's month workload, including in the time, in month, section office's coding, section office's title, graduate from old-type opera school person-time, rescue number；
Transfer note, including patient go to a doctor serial number, time of transferring from one department to another, produce section office coding, be transferred to section office coding；
Patient's essential information, including patient's master index, name, date of birth；
Charging item is detailed, including the time, opens branch room coding, item code, the medical serial number of patient, patient's master index；
Inspection request, including patient go to a doctor serial number, inspection request serial number, application time；
Inspection result, including inspection request serial number, positive value whether occur, critical value whether occur；
Check that application, including patient are gone to a doctor serial number, inspection application serial number, application time,
Inspection result, including check application serial number, positive value whether occur.
3. the side according to claim 1 for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system
Method, which is characterized in that the described information gathering subsystem timing by from the information management system of hospital collected data deposit
Store up the data storage subsystem.
4. the side according to claim 3 for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system
Method, which is characterized in that disease complexity measuring and calculating subsystem is obtained from the data storage subsystem in the step (2)
The data taken include：
Section office's set, the inspection project major class set of every patient of each section office participation, is examined greatly patient's set of each section office
Every class sum, the inspection item major class set of each every patient of section office participation, inspection major class sum, each section office patient's ginseng
With inspection item set, there is the inspection project set of positive value in every patient of each section office, every patient of each section office goes out
Every the inspection project set of existing critical value, the inspection item set of every patient of each section office participation, each section office patient go out
The inspection item set of existing positive value, the graduating from old-type opera school person-time of each section office, each section office every are graduated from old-type opera school age of patient, each section office
Rescue rate.
5. the side according to claim 4 for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system
Method, which is characterized in that disease complexity measuring and calculating subsystem is obtained according to from data storage subsystem in the step (2)
Data calculated, obtain the inspection coverage rate of every patient of each section office, the inspection coverage rate of every patient of each section office,
Each every patient's of section office examines every positive rate, the critical rate of inspection of every patient of each section office, each section office patient
Check positive rate, the inspections coverage rate of each section office, the inspection coverage rate of each section office, each section office inspection positive rate, often
The critical rates of inspection of a section office, the inspection positive rate of each section office, each section office graduate from old-type opera school average age and each section office rob
Rescue rate.
6. the side according to claim 5 for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system
Method, which is characterized in that the disease disease complexity calculates subsystem according to the data obtained from data storage subsystem
The step of being calculated include：
(2.1) it is obtained by the following formula the inspection coverage rate of every patient of each section office：
Wherein, otijFor the inspection coverage rate of every patient of each section office, ctijInspection project for every patient of each section office is big
Class set, CTFor the inspection major class sum of each section office；
It is obtained by the following formula the inspection coverage rate of every patient of each section office：
Wherein, oeijFor the inspection coverage rate of every patient of each section office, ceijInspection item for every patient of each section office is big
Class set, CEFor the inspection major class sum of each section office；
It is obtained by the following formula the inspection positive rate of every patient of each section office：
Wherein, rtijFor the inspection positive rate of every patient of each section office, ntijThe inspection item participated in for every patient of each section office
The number of mesh set, ptijOccurs the inspection project set size of positive value for every patient of each section office；
It is obtained by the following formula the inspection positive rate of every patient of each section office：
Wherein, reijFor the inspection positive rate of every patient of each section office, neijThe check item participated in for every patient of each section office
The number of mesh set, peijFor the inspection positive rate of every patient of each section office；
It is obtained by the following formula the average age of graduating from old-type opera school of each section office：
Wherein, aiFor the average age of graduating from old-type opera school of each section office, ainFor the age of the every patient that graduates from old-type opera school of each section office；
It is obtained by the following formula the rescue rate of each section office：
Wherein, qiFor the rescue rate of each section office, M is the rescue number of section office, and N is graduating from old-type opera school person-time for section office；
(2.2) it is obtained by the following formula the inspection coverage rate of each section office：
Wherein, otiFor the inspection coverage rate of each section office, otijFor the inspection coverage rate of every patient of each section office, NiIt is each
The number of graduating from old-type opera school of section office, SiGather for the patient of each section office；
It is obtained by the following formula the inspection coverage rate of each section office：
Wherein, oeiFor the inspection coverage rate of each section office, oeijFor the inspection coverage rate of every patient of each section office；
It is obtained by the following formula the inspection positive rate of each section office：
Wherein, rtiFor the inspection positive rate of each section office, rtijFor the inspection positive rate of every patient of each section office；
It is obtained by the following formula the critical rate of inspection of each section office：
Wherein, vtiFor the critical rate of inspection of each section office, vtijFor the critical rate of inspection of every patient of each section office；
It is obtained by the following formula the inspection positive rate of each section office：
Wherein, reiFor the inspection positive rate of each section office, reijFor the inspection positive rate of every patient of each section office.
7. the side according to claim 6 for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system
Method, which is characterized in that further comprising the steps of after the step (2.2)：
(2.3) data that the disease complexity measuring and calculating subsystem described in calculates it by following formula acquisition carry out standard
Change：
Wherein, xiIt is data to be normalized,It is to have completed standardized data, T is section office's set；
Wherein, the data being standardized include：
The inspections coverage rates of each section office, each section office examine the positive rate, each section office to examine critical rate, each section office
Check the rescue rate at age and each section office of graduating from old-type opera school that is averaged of positive rate and each section office.
8. the side according to claim 7 for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system
Method, which is characterized in that further comprising the steps of after the step (2.3)：
The disease complexity measuring and calculating subsystem obtains disease complexity and comments according to the standardized data obtained are calculated
Valence, and the calculation for obtaining disease fault network complexity evaluation is as follows：
Wherein, UiFor disease complexity, k1It is to examine covering rate coefficient, k2It is to examine positive rate coefficient, k3It is to examine critical rate
Coefficient, k4It is to check covering rate coefficient, k5It is to check positive rate coefficient, k6It is average age coefficient of graduating from old-type opera school, k7It is rescue rate system
Number,Be standardized inspection coverage rate,Be standardized inspection positive rate,Be it is standardized examine critical rate,
Be standardized inspection coverage rate,Be standardized inspection positive rate,It is standardized average age of graduating from old-type opera school,It is mark
The rescue rate of standardization.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810087712.XA CN108320804A (en) | 2018-01-30 | 2018-01-30 | The method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810087712.XA CN108320804A (en) | 2018-01-30 | 2018-01-30 | The method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108320804A true CN108320804A (en) | 2018-07-24 |
Family
ID=62888231
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810087712.XA Pending CN108320804A (en) | 2018-01-30 | 2018-01-30 | The method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108320804A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109215795A (en) * | 2018-08-10 | 2019-01-15 | 上海交通大学 | Case complexity prediction technique and system |
| CN111161855A (en) * | 2019-12-18 | 2020-05-15 | 深圳市宝安区人民医院 | Dynamic medical work quantification method based on disease complexity |
| CN116013531A (en) * | 2023-03-27 | 2023-04-25 | 中国人民解放军总医院 | Risk identification early warning system based on diagnosis and treatment process |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104361318A (en) * | 2014-11-10 | 2015-02-18 | 中国科学院深圳先进技术研究院 | Disease diagnosis auxiliary system and disease diagnosis auxiliary method both based on diffusion tensor imaging technology |
| CN105512796A (en) * | 2015-11-25 | 2016-04-20 | 上海蓬海涞讯数据技术有限公司 | System and method for realizing performance evaluation of doctors of operating departments of hospital |
-
2018
- 2018-01-30 CN CN201810087712.XA patent/CN108320804A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104361318A (en) * | 2014-11-10 | 2015-02-18 | 中国科学院深圳先进技术研究院 | Disease diagnosis auxiliary system and disease diagnosis auxiliary method both based on diffusion tensor imaging technology |
| CN105512796A (en) * | 2015-11-25 | 2016-04-20 | 上海蓬海涞讯数据技术有限公司 | System and method for realizing performance evaluation of doctors of operating departments of hospital |
Non-Patent Citations (1)
| Title |
|---|
| 沈雅萍: "病例临床复杂（ECC）模型在DRGs分组器中的应用", 《中国优秀硕士学位论文全文数据库 医药卫生科技辑》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109215795A (en) * | 2018-08-10 | 2019-01-15 | 上海交通大学 | Case complexity prediction technique and system |
| CN109215795B (en) * | 2018-08-10 | 2020-11-06 | 上海交通大学 | Case complexity prediction method and system |
| CN111161855A (en) * | 2019-12-18 | 2020-05-15 | 深圳市宝安区人民医院 | Dynamic medical work quantification method based on disease complexity |
| CN116013531A (en) * | 2023-03-27 | 2023-04-25 | 中国人民解放军总医院 | Risk identification early warning system based on diagnosis and treatment process |
| CN116013531B (en) * | 2023-03-27 | 2023-07-04 | 中国人民解放军总医院 | Risk identification early warning system based on diagnosis and treatment process |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20200294667A1 (en) | System and method for machine based medical diagnostic code identification, accumulation, analysis and automatic claim process adjudication | |
| CN106777921B (en) | The building system and method for three tree net evaluation models based on Chinese medicine big data | |
| Wolfson | Social Proprioception: 1 Measurement, Data, and Information from a Population Health Perspective | |
| Doran et al. | Toward a national report card in nursing: A knowledge synthesis | |
| Mulligan et al. | Unit costs of health care inputs in low and middle income regions | |
| CN108320804A (en) | The method for realizing disease complexity quantitatively evaluating based on disease fault network complexity evaluation system | |
| Jaana et al. | Clinical information technology in hospitals: A comparison between the state of Iowa and two provinces in Canada | |
| Misset et al. | Reliability of diagnostic coding in intensive care patients | |
| Nadathur | Maximising the value of hospital administrative datasets | |
| Ricci de Araujo et al. | Critical care nursing service costs: Comparison of the top‐down versus bottom‐up micro‐costing approach in Brazil | |
| CN108198622A (en) | The system that disease complexity quantitatively evaluating is realized based on computer software | |
| Alexander | Nursing sensitive databases | |
| Groome et al. | Lessons learned: it takes a village to understand inter-sectoral care using administrative data across jurisdictions | |
| CN109409709A (en) | Intelligent evaluation of professional titles system | |
| Jay et al. | Computerized hospital information systems: their future role in medicine | |
| Parente et al. | Developing a quality improvement database using health insurance data: a guided tour with application to Medicare's National Claims History file | |
| Deily et al. | The impact of health information technology adoption by outpatient facilities on pregnancy outcomes | |
| Donaldson et al. | Nurse staffing in California hospitals 1998-2000: findings from the California nursing outcome coalition database project | |
| Alterman et al. | State-level treatment outcome studies using administrative databases | |
| CN116013505A (en) | Medical expense management system based on DRG | |
| Zhang et al. | The measurement of nursing home quality: Multilevel confirmatory factor analysis of panel data | |
| CN112331322A (en) | Method, device, processor and storage medium for realizing quantitative evaluation processing aiming at special ability of hospital based on neural network | |
| Vujicic et al. | Measuring health workforce productivity: application of a simple methodology in Ghana | |
| Fair | An overview of record linkage in Canada | |
| Mesel et al. | Automation of a patient medical profile from insurance claims data: a possible first step in automating ambulatory medical records on a national scale |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |