CN1684082A - Evaluation management system and its method for modern hospital performance - Google Patents

Abstract

The hospital performance evaluating system includes information acquiring subsystem, database subsystem, performance analysis subsystem and leader decision subsystem. The performance analysis subsystem includes performance analysis module, performance index module and performance report creating module. The performance index module includes resource configuring structure, work efficiency, medical quality, economic utility, service quality and development potential. The performance index system filters in several objective and subjective methods to obtain weight coefficient. The present invention evaluates the performance level of hospital through calculation with 14 indexes in 6 kinds scientifically and truly.

Description

The Assessment Management System of modern hospital performance and method thereof

Technical field

The present invention relates to the performance evaluation management system and the method for modern hospital, system and method for the present invention is applicable to the hospital of medium or above scale, also is applicable to health competent authorities.

Background technology

Performance evaluation is meant utilization mathematical statistics and operational research Methods, adopt specific index system, contrast unified evaluation criteria, according to certain procedure, by the quantitative and qualitative comparative evaluation, to organizing certain operation effectiveness of operation and operator's achievement in period, make science, objective, just and multifactorial evaluation accurately.

Performance evaluation originates from enterprise the earliest.On the basis of study and assessment of reference Enterprise Performance and performance management, the U.S. took the lead in carrying out hospital's evaluation in 1917, and set up a professional certifying agency that promotes Quality in Hospitals independently, specially, review result obtains the approval of government administration department.20th century the mid-80, the doctor of Japan can and Health and human services department successively set up " Quality in Hospitals evaluation committee ", this can discuss quality of medical care evaluation problem, and has put into effect the self-evaluation system of hospital.China's hospital's differentiated control evaluation that began one's study from 1987, in November, 1989, the Ministry of Public Health has formally issued notice and the way of carrying out hospital's differentiated control, and the regulation regulation is made in hospital's evaluation.Make a general survey of domestic and international research about hospital performance assessment and performance management, great majority be from viewpoint, in principle or more shallow data assessment inquire in theory, the importance of problem has been proposed, but for index setting, weight determine, assessment models sets up, and problem such as conclusion reliability is not carried out deep research as yet.At present, mainly there are following deficiency in existing hospital performance assessment and performance management:

1, being provided with of performance evaluation index is more unilateral, and structure function and the working routine of evaluating hospital merely can not reflect its Health Services performance.Only being based upon just has directive significance to the evaluation on the service for patients aspect, on Quality in Hospitals and the performance evaluation basis.Performance evaluation needs a series of inside and outsides service data, and these data demands are effective, credible, objective.To on a common standard, compare.In the past, the standard of Chinese Hospitals evaluation relatively lays particular stress on the institutional framework and the function of evaluation hospital, to the hospital performance evaluation index, pay close attention to hospital's level mostly, less concern patient level is morely emphasized various organizational forms, and management process is lacked effective evaluation index.Therefore, the comprehensive of index is the problem that at first will consider.

2. the not enough science of performance evaluation index choice method.At first, the hospital performance assessment be unable to do without a cover science and complete index system, in the existing research, the method of screening index has subjective colo(u)r mostly, as the expert consulting method, ignored the method for utilizing objective data to carry out multifactor assessment, as Cluster Evaluation and factor assessment, the index of often picking out has one-sidedness, is difficult to accomplish rationally with just.Secondly, in performance evaluation, inside and outside satisfaction is one of important indicator of assessment.Hospital's existing satisfaction investigation table design, and also there is defective in investigation method, is difficult to obtain assessment result accurately.Thereby, should allow patient participate in the formulation process of investigation content, increase the content formulation process of medical personnel and society to the medical services satisfaction investigation; The reply satisfaction investigation result's of assessment hospital evaluation process, and to being unsatisfied with the result that problem solves.

3. the importance of considering evaluation index is insufficient.After the utilization several different methods filters out a cover science, advanced person and practical index system, assess and to consider that often the relative significance level of each index is a weight carrying out hospital performance.Whether determining of weight coefficient be rationally most important to the comprehensive estimation method of underusing data characteristic.Determine in the research that at present the method for weight mainly is subjective enabling legislation, seldom consider objective enabling legislation, as factor Evaluation Method and correlation coefficient process etc., often cause composing power and have subjectivity, therefore suggestion adopts the enabling legislation of subjective and objective combination to determine weight.

Summary of the invention

The technical problem to be solved in the present invention is that one of design is more objective, comprehensively and the evaluating system and the method for the modern hospital performance of strong operability.

The present invention adopts following technical scheme: the assessment and the management system that design a kind of modern hospital performance, this system is used for the performance of evaluated hospital is made science, objective assessment, the decision-making and the job placement of science are made according to the performance situation by administrative service division for hospital, and this system comprises:

The information acquisition subsystem comprises being distributed in each section office scene of evaluated hospital and by the computing machine that network is connected, being used to gather the data information relevant with performance; Patient data and relevant therewith income and expenses as outpatient service and inpatient department;

Database subsystem comprises one or more computing machine on described network, is used to store the historical data data and receives store each section office's data information of being gathered in real time by the information acquisition subsystem, calls for the performance analysis subsystem;

The performance analysis subsystem, comprise performance analysis module, performance indicators module and performance report generation module, be used for setting up and constantly improve performance indicator system according to expertise and statistical model, analyze and determine the contribution weight of each index, calculate total performance of evaluated hospital at last and export the performance form total performance;

The managerial decision subsystem is used to receive the performance information of performance analysis subsystem, is made the work suggestion according to performance information and is arranged by the relevant administrative leader of hospital;

Performance indicators module in the described performance analysis subsystem comprises:

Resource allocation structure A comprises: secondary high above medical and technical staff's ratio A2 and everyone fixed assets output value A4;

Work efficiency B comprises: year portfolio B1, berth utilization rate B3 and the person's of leaving hospital average time in hospital day B6 per capita;

Quality of medical care C comprises: urgent patient's salvage success rate C3, outpatient service and discharged patient's diagnostic accordance rate C4 and the mortality ratio C9 in back 10 days that performs the operation;

Economic benefit D comprises: year professional income D1, per hundred yuan of capital assets are taken in D3, every outpatient service person-time expense D4 and person-time expense D5 that whenever is in hospital per capita;

Service quality E comprises: patient and employee are to the satisfaction E1 of hospital;

Development potentiality F comprises: scientific payoffs, intellecture property and at the core periodical quantity F1 that publishes thesis per capita.

After the These parameters system is determined, also will obtain the weight coefficient that the described performance indicators of reflection contributes total performance by subjective and objective analysis and could calculate performance, be the weight coefficient that combines each index behind the result of subjective analysis and objective analysis below:

Resource allocation structure A is 0.1009, and wherein secondary high above medical and technical staff's ratio A2 is 0.0465, and everyone fixed assets output value A4 is 0.0544;

Work efficiency B is 0.1975, and wherein a year portfolio B1 is 0.0702 per capita, and berth utilization rate B3 is 0.0715, and the person's of leaving hospital average time in hospital day B6 is 0.0558;

Quality of medical care C is 0.2889, and wherein urgent patient's salvage success rate C3 is 0.0867, and outpatient service and discharged patient's diagnostic accordance rate C4 are 0.1028, and performing the operation, mortality ratio C9 is 0.0994 in back 10 days;

Economic benefit D is 0.2446, and wherein a year professional income D1 is that 0.0558, per hundred yuan of capital assets income D3 are 0.0678 per capita, and every outpatient service person-time expense D4 is 0.0635, and person-time expense D5 that whenever is in hospital is 0.0575;

Service quality E is 0.0938, and promptly patient and employee are 0.0938 to the satisfaction E1 of hospital;

Development potentiality F is 0.0653, i.e. scientific payoffs, intellecture property and be 0.0653 at the core periodical quantity F1 that publishes thesis per capita.

The weight coefficient of These parameters system has been arranged, and the computing formula of hospital performance PF is:

PF＝0.0465A2+0.0544A4+0.0702B1+0.0715B3+0.0558B6+0.0867C3+0.1028C4+0.0994C9+0.0558D1+0.0678D3+0.0635D4+0.0575D5+0.0938E1+0.0653F1。

The subjective analysis method of above-mentioned performance indicators weight coefficient adopts the DELPHI method, also can adopt AHPA method or expert's point system.The objective analysis method of above-mentioned performance indicators weight coefficient adopts the CRITIC method, also can adopt entropy power method or dispersion method.The method of these screening index is existing mature technology.

The present invention has also designed a kind of appraisal procedure of modern hospital performance, and this method comprises the steps:

A. compile the historical summary of how tame representative hospital, data quantity is the bigger the better, and the statistics of large sample data is just more objective and have more universal significance;

B. according to the data of collecting by the influence factor that may influence total performance that the multidigit expert rule of thumb determines primary election, determine derivative index thus;

C. according to the derivative index of primary election, screen, to determine selected index with the derivative index of several different methods to primary election;

D. with more than one method the representativeness of selected index is verified, established the index system of performance at last;

E. use the weight coefficient of subjective analysis method and objective analysis method parameter system respectively;

F. the weight coefficient of subjective analysis and the weight coefficient of objective analysis are weighted on average, obtain in conjunction with weight coefficient main, objective analysis; Because subjective analysis and objective analysis respectively have its relative merits, both are weighted on average will make the weight coefficient of index more reliable.

G. set up the performance computing formula according to the weight coefficient of each selected index;

H. according to the data of evaluated hospital, utilize the performance computing formula that the performance of evaluated hospital is assessed.

The derivative index of the appraisal procedure primary election of above-mentioned performance has 32 primary election indexs of 6 big classes, be respectively: resource allocation structure A comprises: health workers' ratio A1, secondary high above medical and technical staff's ratio A2, medical care are than A3, everyone fixed assets output value A4 and every fixed assets output value A5; Work efficiency B comprises: year outpatient service person-time B1, year be in hospital person-time B2, berth utilization rate B3, sick bed number of turnover B4, sick bed B5 on working day and the person's of leaving hospital average time in hospital day B6 per capita per capita; Quality of medical care C comprises: cure improvement rate C1, case fatality rate C2, urgent patient's salvage success rate C3, outpatient service and discharged patient's diagnostic accordance rate C4, be admitted to hospital with discharged patient's diagnostic accordance rate C5, discharged patient's acatalepsia rate C6, be admitted to hospital diagnosis rate C7, perioperatively diagnostic accordance rate C8 on the three, mortality ratio C9 and incidence of nosocomial infection C10 in back 10 days perform the operation; Economic benefit D comprises: per capita year professional income D1, every year professional income D2, per hundred yuan of capital assets incomes D3, every outpatient service person-time expense D4, whenever be in hospital person-time expense D5 and professional income expenditure compares D6; Service quality E comprises: out-patient clinic and hospitalization patient satisfaction E1, employee to leader's satisfaction E2 and clinical department to logistics satisfaction E3; Development potentiality F comprises: scientific payoffs, intellecture property and at core periodical publish thesis quantity F1 and growth rate of fixed assets F2 per capita;

Above-mentioned derivative index selected index after screening, representative checking, weight system are calculated has 14 indexs of 6 big classes, specific as follows: resource allocation structure A is 0.1009, wherein secondary high above medical and technical staff's ratio A2 is 0.0465, and everyone fixed assets output value A4 is 0.0544; Work efficiency B is 0.1975, and wherein a year portfolio B1 is 0.0702 per capita, and berth utilization rate B3 is 0.0715, and the person's of leaving hospital average time in hospital day B6 is 0.0558; Quality of medical care C is 0.2889, and wherein urgent patient's salvage success rate C3 is 0.0867, and outpatient service and discharged patient's diagnostic accordance rate C4 are 0.1028, and performing the operation, mortality ratio C9 is 0.0994 in back 10 days; Economic benefit D is 0.2446, and wherein a year professional income D1 is that 0.0558, per hundred yuan of capital assets income D3 are 0.0678 per capita, and every outpatient service person-time expense D4 is 0.0635, and person-time expense D5 that whenever is in hospital is 0.0575; Service quality E is 0.0938, and promptly patient and employee are 0.0938 to the satisfaction E1 of hospital; Development potentiality F is 0.0653, i.e. scientific payoffs, intellecture property and be 0.0653 at the core periodical quantity F1 that publishes thesis per capita; Described performance computing formula is:

PF＝0.0465A2+0.0544A4+0.0702B1+0.0715B3+0.0558B6+0.0867C3+0.1028C4+0.0994C9+0.0558D1+0.0678D3+0.0635D4+0.0575D5+0.0938E1+0.0653F1。

Used 5 kinds of appraisal procedures simultaneously when the screening derivative index, with mutual verification and additional, they are respectively:

Subjective estimate method: hospital management expert and actual professional are independent of set derivative index, select selected index according to the own judgement of each index importance is given a mark to it respectively;

Discrete tendency method: this is to select index from the susceptibility angle, and the discrete trend of index is little, and its discrimination is just poor when being used to assess performance, therefore should select the discrete bigger index of trend;

Correlation coefficient process: this is to select index from representative angle with independence, and this law is selected the selected index of the more and less conduct of associated index number;

Principal component analysis (PCA) and factor analysis: this is to select index from representative angle, carries out main genetic analysis from the correlativity of each index, selects the bigger index of related coefficient;

Clustering methodology: this also is to select index from representative angle, earlier with hierarchical clustering method each derivative index is carried out cluster analysis, then by the representative index of square selecting of related coefficient.

The subjective analysis method of described performance indicators weight coefficient adopts the AHPA method; The objective analysis method of described performance indicators weight coefficient adopts the CRITIC method, and this is present more popular computing method.

Because index system and weight coefficient thereof are relevant with size with the length of used data sample, in general, data sample is big more, its statistics is truer more objective, therefore, the computing formula of performance also should be As time goes on the increase of data quantity and continuous modification and perfection, therefore, the present invention at present the selected index that please decide and weight coefficient thereof and performance computing formula should revise along with increasing progressively regularly of time and data quantity.

With prior art to relatively, the Assessment Management System of modern hospital performance of the present invention and method thereof have following advantage: used data sample is bigger, index system has used multiple master, objective method to screen, therefore will be more more comprehensively objective, the computing formula of its performance is science and reflect the performance levels of evaluated hospital more realistically more also.

Description of drawings

The drawing of accompanying drawing is described as follows:

Fig. 1 is the formation synoptic diagram of the Assessment Management System of modern hospital performance of the present invention;

Fig. 2 is the framework map of derivative index system of Assessment Management System primary election of the performance of Fig. 1;

Fig. 3 is the framework map of derivative index selected index system after screening of Fig. 2;

Fig. 4 is the process flow diagram of the appraisal procedure of modern hospital performance of the present invention.

Embodiment

The present invention is described in further detail below in conjunction with drawings and Examples.

As shown in Figure 1, the assessment of the present invention's modern hospital performance of the present invention and management system comprise:

Information acquisition subsystem 1 comprises being distributed in each section office scene of evaluated hospital and by the computing machine that network is connected, being used to gather the data information relevant with performance; Patient data and relevant therewith income and expenses as outpatient service and inpatient department; The information acquisition subsystem can also obtain the relevant historical summary of performance evaluation or the statistical data of department of government concerned of being used for by modes such as scanning and downloads on the net.

Database subsystem 2 comprises one or more computing machine on described network, is used to store the historical data data and receives store each section office's data information of being gathered in real time by the information acquisition subsystem, calls for the performance analysis subsystem;

Performance analysis subsystem 3, comprise performance analysis module, performance indicators module and performance report generation module, be used for setting up and constantly improve performance indicator system according to expertise and statistical model, analyze and determine the contribution weight of each index, calculate total performance of evaluated hospital at last and export the performance form total performance; The performance analysis module comprises AHPA subjective analysis method and the CRITIC objective analysis method that is used for screening index subjective estimate method, discrete tendency method, correlation coefficient process, principal component analysis (PCA) and factor analysis and clustering methodology and is used for analytical calculation performance indicators weight coefficient; The comprehensive various analysis of using will make the performance assessment system can be in conjunction with the advantage of multiple analytic approach; Performance report generation module will form a series of performance form according to the needs of hospital management, make the performance analysis result more directly perceived, so that the administrative leader of hospital makes decisions according to the performance situation.

Managerial decision subsystem 4 is used to receive the performance information of performance analysis subsystem, is made the work suggestion according to performance information and is arranged by the relevant administrative leader of hospital.

The most important subsystem of the present invention is the performance analysis subsystem, promptly sets up the performance analysis method and the performance computation schema of a cover science, and Fig. 4 is the process flow diagram of the appraisal procedure of modern hospital performance of the present invention.This process flow diagram has reflected basically how performance analysis method of the present invention and performance computation schema are set up, and describes its concrete steps below in detail.

A. compile the historical summary of how tame representative hospital, data quantity is the bigger the better, and the statistics of large sample data is just more objective and have more universal significance;

B. according to the data of collecting by the influence factor that may influence total performance that the multidigit expert rule of thumb determines primary election, determine derivative index thus; The embodiments of the invention common property is given birth to 32 primary election indexs of 6 big classes, and this primary election index system as shown in Figure 2.Be respectively: resource allocation structure A comprises: health workers' ratio A1, secondary high above medical and technical staff's ratio A2, medical care are than A3, everyone fixed assets output value A4 and every fixed assets output value A5; Work efficiency B comprises: year outpatient service person-time B1, year be in hospital person-time B2, berth utilization rate B3, sick bed number of turnover B4, sick bed B5 on working day and the person's of leaving hospital average time in hospital day B6 per capita per capita; Quality of medical care C comprises: cure improvement rate C1, case fatality rate C2, urgent patient's salvage success rate C3, outpatient service and discharged patient's diagnostic accordance rate C4, be admitted to hospital with discharged patient's diagnostic accordance rate C5, discharged patient's acatalepsia rate C6, be admitted to hospital diagnosis rate C7, perioperatively diagnostic accordance rate C8 on the three, mortality ratio C9 and incidence of nosocomial infection C10 in back 10 days perform the operation; Economic benefit D comprises: per capita year professional income D1, every year professional income D2, per hundred yuan of capital assets incomes D3, every outpatient service person-time expense D4, whenever be in hospital person-time expense D5 and professional income expenditure compares D6; Service quality E comprises: out-patient clinic and hospitalization patient satisfaction E1, employee to leader's satisfaction E2 and clinical department to logistics satisfaction E3; Development potentiality F comprises: scientific payoffs, intellecture property and at core periodical publish thesis quantity F1 and growth rate of fixed assets F2 per capita;

C. according to the derivative index of primary election, screen, to determine selected index with the derivative index of several different methods to primary election; The present invention has used 5 kinds of appraisal procedures that the primary election index is screened altogether, and the appraisal procedure of described 5 kinds of screening index is as follows:

Subjective estimate method: this is to select and appoint living index from importance and determinacy angle sieve.Method is that hospital management expert and actual professional are independently to set index system, according to oneself thinking that the significance level to hospital performance gives a mark by centesimal system, select index according to the importance score (average mark) of each index then, give up the lower index of score.The calculating of average mark is relevant with the distribution of importance score, if the normal distribution arithmetic mean, otherwise use median.When asking arithmetic mean,, ask average again after also can discarding a maximal value and minimum value earlier for fear of the influence of extremum.In addition, expert's importance evaluation and working people are often inequality, should carry out and take into account both evaluations respectively and select index.

Discrete tendency method: this is to select derivative index from the susceptibility angle.The discrete trend of index is little, and discrimination is just poor when being used to assess, and therefore should select the discrete bigger index of trend.The distribution and the characteristic of each desired value have been considered when selecting for use reflection to disperse the trend statistic.Generally better with the coefficient of variation, can eliminate the influence that each index dimension difference and average differ greatly.But noted then should making it to become normal distribution do change of variable earlier if each desired value is not normal distribution.Conversion can be tried out general square root transformation, log-transformation etc., the power transform method that also available Box and Cox propose, and its transformation for mula is:

$Y_i=\left\{\begin{array}{cc}[{(X_i+a)}^{\mathrm{\λ}}-1]/\left({\mathrm{\λg}}^{\mathrm{\λ}-1}\right)& \mathrm{\λ}\≠0\\ {g\log X}_i& \mathrm{\λ}=0\end{array}\right.$

In the formula, X _iBe raw data, a one makes a+X _i＞0 number, λ are parameter,

$g=\underset{i=1}{\overset{n}{X}}{(X_i+a)}^{1/n}$

Correlation coefficient process: this is to select derivative index from representative with the independence angle.Calculate the related coefficient between any two indexs and the check that takes statistics, with the more and less person of associated index number as selected index.Because the former is representative, can provide more information; The latter has independence, and other index can not replace.If each index is normal distribution or can becomes normal distribution after conversion, then use the product moment correlation coefficlent r of Pearson, otherwise the coefficient of rank correlation of available Spearman or Kendall.

Principal component analysis (PCA) and factor analysis: this is to select and appoint living index from representative angle sieve.Carry out principal component analysis (PCA) from the correlation matrix of each index, determine required number of principal components according to the structure of each big class and the size of contribution rate, consider respectively that according to the correlativity size of each major component and each index each major component is mainly by which index decision, the bigger index of selection coefficient then.Such as according to imagination, the hospital performance assessment should comprise six main aspects, comprising: resource allocation structure, work efficiency, quality of medical care, economic benefit, service quality and development potentiality, at this moment can consider to get six major components.Do factorial analysis and then select index, stay load the greater according to the size of factor loading.If each factor loading is more or less the same, thereby the rotation that still can carry out the load battle array widens its distance.

Clustering methodology (index): this also is to select and appoint living index from representative angle sieve.Adopt hierarchical clustering method (Hierarchical Clustering) that each index is carried out cluster analysis earlier, it is the classification of some that index is gathered, select the selected index of representative index conduct in each class then, by related coefficient square select representational index, principle is: 1. with in every class on average with other index related best indexs as representing index; 2. with average correlation in the class better and between class the relatively poor index of average correlation be the representative index.

$\stackrel{\‾}{r^2}=\frac{\mathrm{\Σ}{r_i}^2}{k-1}$

K is the number of this class variable in the formula.Select The variable of value maximum is as such canonical variable.

When utilizing the said method screening index, should investigate the inner link between each derivative index, when adopting expert opinion, in conjunction with objective statistical analysis technique, those can reflect the leading indicator of hospital performance to optimize screening.The screening performance indicators should be followed the principle that importance is big, determinacy good, susceptibility is high, independence is strong, representativeness is good, and takes into account operability and acceptability.5 kinds of methods using in the screening are carried out the performance indicators screening from different angles and purpose respectively.The present invention utilizes the data of Shenzhen 8 tame hospitals in 2003 as sample, obtains 14 selected indexs of 6 big classes as shown in Figure 3 after screening;

D. with more than one method the representativeness of selected index is verified, established the index system of performance at last; Data to 2003 8 tame hospitals is carried out the sample cluster.The dendrogram of 14 indexs after the screening and do not screen the dendrogram structure of 32 indexs identical (figure slightly), statistic very approximate (see Table 41 and table 42), its identical rate of classifying is 100%, illustrates that 14 indexs that filter out have represented the information of original initial 32 indexs basically.

E. use the weight coefficient of subjective analysis method and objective analysis method parameter system respectively; The subjective analysis method of performance indicators weight coefficient adopts the DELPHI method, also can adopt AHPA method or expert's point system; The objective analysis method of above-mentioned performance indicators weight coefficient adopts the CRITIC method, also can adopt entropy power method or dispersion method; The method of these screening index is existing mature technology, repeats no more here.

F. the weight coefficient of subjective analysis and the weight coefficient of objective analysis are weighted on average, obtain in conjunction with weight coefficient main, objective analysis; Because subjective analysis and objective analysis respectively have its relative merits, both are weighted on average will make the weight coefficient of index more reliable.Be the data of utilizing Shenzhen 8 tame hospitals in 2003 below, combine the weight coefficient of resulting each index behind the result of subjective analysis and objective analysis: resource allocation structure A is 0.1009, wherein secondary high above medical and technical staff's ratio A2 is 0.0465, and everyone fixed assets output value A4 is 0.0544; Work efficiency B is 0.1975, and wherein a year portfolio B1 is 0.0702 per capita, and berth utilization rate B3 is 0.0715, and the person's of leaving hospital average time in hospital day B6 is 0.0558; Quality of medical care C is 0.2889, and wherein urgent patient's salvage success rate C3 is 0.0867, and outpatient service and discharged patient's diagnostic accordance rate C4 are 0.1028, and performing the operation, mortality ratio C9 is 0.0994 in back 10 days; Economic benefit D is 0.2446, and wherein a year professional income D1 is that 0.0558, per hundred yuan of capital assets income D3 are 0.0678 per capita, and every outpatient service person-time expense D4 is 0.0635, and person-time expense D5 that whenever is in hospital is 0.0575; Service quality E is 0.0938, and promptly patient and employee are 0.0938 to the satisfaction E1 of hospital; Development potentiality F is 0.0653, i.e. scientific payoffs, intellecture property and be 0.0653 at the core periodical quantity F1 that publishes thesis per capita.

G. set up the performance computing formula according to the weight coefficient of each selected index; PF=0.0465A2+0.0544A4+0.0702B1+0.0715B3+0.0558B6+0.0867C3+0.1028C4+0.0994C9+0.0558D1+0.0678D3+0.0635D4+0.0575D5+0. 0938E1+0.0653F1.

H. according to the data of evaluated hospital, utilize the performance computing formula that the performance of evaluated hospital is assessed.

The specific embodiment that application performance assessment system of the present invention of brief description and method are assessed the performance of Shenzhen 8 tame hospitals.

(1) evaluated hospital: 8 families of Shenzhen general hospital comprise hospital 1, hospital 2, hospital 3, hospital 4, hospital 5, hospital 6, hospital 7, hospital 8.

(2) data source:

1. Shenzhen's health statistics data yearbook: 1996～2003 years Shenzhen's health statistics data yearbooks.

2. Shenzhen hospital adds up annual report: 1996～2003 years Shenzhen's 8 tame general hospital statistics annual report data.

3. Shenzhen hospital medical service quality assessment result: 2002～2003 years, Shenzhen health bureau organizes the relevant expert to form inspection party, all medical institutions in the Shenzhen are carried out once every year quality of medical care thorough examination, and check result assessed and feed back.

(3) from the data of 1996～2003 years 8 tame hospitals, extract 8 big classifications totally 46 influence factors.8 big classifications are: hospital size, resource preparation, service total amount, work efficiency, quality of medical care, economic benefit, service quality (medical ethics and atmosphere), development potentiality.

The hospital size class comprises 4: compiling worker's number, open beds, capital assets total value (ten thousand yuan), asset of equipments total value (ten thousand yuan).

The resource distribution class comprises 3: health workers' number, secondary high above medical and technical staff's number, medical and technical staff's sum.

Service total amount class comprises 6: being admitted to hospital person-time in total diagnosis and treatment person-time, outpatient service person-time, emergency treatment person-time, health examination person-time, ward, leaves hospital in the ward person-time.

The work efficiency class comprises 6: the average annual door of people emergency treatment person-time, people are in hospital person-time every year, berth utilization rate, the sick bed number of turnover, sick bed working day, the person's of leaving hospital average time in hospital day.

The quality of medical care class comprises 14: cure improvement rate, case fatality rate, urgent patient's salvage success rate, outpatient service and DD coincidence rate, be admitted to hospital with DD coincidence rate, the follow-up rate of being admitted to hospital, the diagnosis rate on the three of being admitted to hospital, perioperatively diagnostic accordance rate, aseptic operation otch first class healing rate, aseptic operation infection of incisional wound rate, operation back ten days in mortality ratio, incidence of nosocomial infection, maternal mortality rate, life birth infant mortality rate in hospital.

The economic benefit class comprises 8: year professional gross income (ten thousand yuan), year professional total expenditure (ten thousand yuan), every diagnosis and treatment person-time expense, whenever be in hospital person-time expense, year professional income, per 100 yuan of capital assets income, every professional income of year (ten thousand yuan), professional income expenditure ratio per capita.

Quality of service class comprises 3: out-patient clinic and hospitalization patient satisfaction, employee to leader's satisfaction, clinical department to the logistics support satisfaction.

The development potentiality class comprises 2: scientific research patent achievement and core periodical paper number, the growth rate of fixed assets per capita.

(4) the derivative index system tentatively is set.According to the performance evaluation purpose, utilize document and experience that index system is set earlier, as shown in Figure 2 primary election index system that Here it is, these primary election indexs should be clear and definite, concrete, feasible.

(5) screening assessment derivative index.Investigate the inner link between each derivative index, adopt expert and objective statistical analysis technique, those can reflect the leading indicator of hospital performance to optimize screening.

The performance indicators screening should be followed the principle that importance is big, determinacy good, susceptibility is high, independence is strong, representativeness is good, and takes into account operability and acceptability.Above-mentioned 5 kinds of analytical approachs of using in the screening are carried out the performance indicators screening from different angles and purpose respectively, thereby obtain selected index system as shown in Figure 3.

(6) selected index weight coefficient determines

1.AHP method

(1) calculates weight coefficient

Table 1 ground floor sub-goal is relatively judged preferred matrix in pairs

	Collocation mechanism	Work efficiency	Quality of medical care	Economic benefit	Service quality	Development potentiality
							Configuration structure work efficiency quality of medical care economic benefit service quality development potentiality	??1 ??3 ??5 ??3 ??3 ??1	??1/3 ??1 ??5/3 ??1 ??1 ??1/3	??1/5 ??3/5 ??1 ??3/5 ??3/5 ??1/5	??1/3 ??1 ??5/3 ??1 ??1 ??1/3	??1/3 ??1 ??5/3 ??1 ??1 ??1/3	??1 ??3 ??5 ??3 ??3 ??1

${w^{\′}}_1=\sqrt[6]{1\×1/3\×1/5\×1/3\×1/3\×1}=0.4415$

In like manner: w ' ₂=1.3245 w ' ₃=2.2076 w ' ₄=1.3245 w ' ₅=1.3245w ' ₆=0.4415

(2) calculate the normalized weight coefficient

w ₁＝0.4415/(0.4415+1.3245+2.2076+1.3245+1.3245+0.4415)＝0.0625

In like manner: w ₂=0.1875 w ₃=0.3125 w ₄=0.1875 w ₅=0.1875w ₆=0.0625

(3) calculate Consistency Ratio at random

CI=0＜0.1 can think that the ground floor weight coefficient is reasonable; CR=0＜0.1 can think that judgment matrix has satisfactory consistency.

(4) calculate each index combining weights coefficient

Combining weights coefficient=0.0625 * the 0.5=0.0313 of secondary high above medical and technical staff's ratio

Combining weights coefficient=0.0625 * the 0.5=0.0313 of everyone the fixed assets output value

Combining weights coefficient=0.1875 * the 0.333=0.0624 of the average annual portfolio of people

Combining weights coefficient=0.1875 * the 0.333=0.0624 of berth utilization rate

Combining weights coefficient=0.1875 * 0.333=0.0624 of the person's of leaving hospital average time in hospital day

Combining weights coefficient=0.3125 * the 0.333=0.1041 of urgent patient's salvage success rate

Combining weights coefficient=0.3125 * the 0.333=0.1041 of outpatient service and discharged patient's diagnostic accordance rate

Combining weights coefficient=0.3125 * the 0.333=0.1041 of the mortality ratio in back ten days of performing the operation

Combining weights coefficient=0.1875 * the 0.250=0.0469 of professional income per capita year

Combining weights coefficient=0.1875 * the 0.250=0.0469 of per hundred yuan of capital assets incomes

Combining weights coefficient=0.1875 * the 0.250=0.0469 of every outpatient service person-time expense

Combining weights coefficient=0.1875 * the 0.250=0.0469 of person-time expense of whenever being in hospital

Combining weights coefficient=0.1875 * the 1=0.1875 of service quality

Combining weights coefficient=0.0625 * the 1=0.0625 of scientific research per capita, patent achievement and core periodical paper number

2.CRITIC method

(1) standardization of data

The raw data of 14 indexs of 2003 8 tame hospitals is adopted formula: $Z_i=\frac{x_i-\stackrel{-}{x}}{s}$ Marking, wherein x is each index mean, s is each desired value standard deviation.Consider every outpatient service person-time expense, whenever be in hospital person-time expense with on average three indexs of hospital day are different with the objective standard of district's level hospital at city-level, do standardization by city-level and district's level hospital respectively, oppositely the front adds negative sign after the index standardization, equals as the mark value of calculating hospital's 1 secondary high above medical and technical staff's ratio $\frac{18.8-16.84}{3.767}=0.521.$ Its standardized data see Table 2.

The standardized data of 14 indexs of 2003 8 tame hospitals of table 2

Index	Hospital 1	Hospital 2	Hospital 3	Hospital 4	Hospital 5	Hospital 6	Hospital 7	Hospital 8
									Secondary high everyone fixed assets output value of above medical and technical staff's ratio is portfolio per hundred yuan of fixed assets incomes of professional income service quality patent, achievement and the paper score value Bed utilization rate average length of hospitalizations whenever person-time expense in hospital of the success rate outpatient service of death rate Rescuing Critical Patients and the every outpatient service of discharged patient's diagnostic accordance rate person-time expense of performing the operation in rear ten days per capita per capita	??0.521 ? ??0.373 ??0.0547 ??1.3084 ??0.5729 ??0 ??1.3678 ??0.5007 ??0.2671 ??-0.9595 ??0.5268 ??-0.3559 ? ??-1.1339 ??-0.6111	??1.7421 ? ??1.3067 ??1.5145 ??1.5438 ??-0.1796 ??0 ??1.0808 ??0.8364 ??0.8393 ??-0.2617 ??1.4323 ??0.2768 ? ??0.378 ??1.154	??0.6271 ? ??-1.2712 ??-1.3316 ??-0.2085 ??1.599 ??0 ??0.9333 ??0.3739 ??-1.1064 ??-0.9595 ??-1.1101 ??0.6635 ? ??0.7559 ??-0.5429	??0.1493 ? ??-0.4795 ??-0.7036 ??0.1875 ??0.6413 ??0 ??-0.0774 ??-1.5282 ??1.0773 ??1.134 ??0.283 ??-0.8481 ? ??0.5904 ??-0.1326	??-1.0983 ? ??0.576 ??-0.1377 ??-0.7888 ??-1.3425 ??0 ??-0.5663 ??-0.3347 ??0.949 ??1.4829 ??-1.145 ??-0.8129 ? ??0.8365 ??1.2592	??0.0166 ? ??-1.5553 ??-0.7788 ??-1.4173 ??0.5045 ??0 ??-0.9917 ??1.5599 ??-0.8464 ??0.7851 ??1.0492 ??-0.8129 ? ??-0.4756 ??0.6725	??-0.7001 ? ??0.576 ??1.3448 ??-0.3224 ??-0.932 ??0 ??-1.2229 ??-0.566 ??-1.1029 ??-0.2617 ??-0.0653 ??-0.1802 ? ??0.5904 ??-1.3034	??-1.2576 ? ??0.4745 ??0.0377 ??-0.3026 ??-0.8636 ??0 ??-0.5225 ??-0.842 ??-0.0769 ??-0.9595 ??-0.9708 ??2.0696 ? ??-1.5417 ??-0.4958

(2) ask correlation matrix between each index

Can obtain related coefficient between the evaluation index according to table 2, thereby obtain correlation matrix R:

$R=\left(\begin{array}{ccccccccccccc}1& -0.008& 0.125& 0.674& 0.615& 0.756& 0.51& 0.136& 0.231& 0.665& -0.14& 0.19& 0.231\\ -0.01& 1& 0.851& 0.586& -0.695& 0.148& -0.258& 0.506& -0.142& 0.079& 0.21& -0.053& 0.112\\ 0.125& 0.851& 1& 0.475& -0.616& -0.042& -0.013& 0.161& -0.168& 0.385& 0.1& 0.012& 0.01\\ 0.674& 0.586& 0.475& 1& 0.166& 0.808& 0.01& 0.449& -0.451& 0.417& 0.13& -0.101& -0.05\\ 0.615& -0.695& -0.616& 0.166& 1& 0.555& 0.321& -0.26& -0.262& 0.202& -0.1& 0.044& -0.19\\ 0.756& 0.148& -0.042& 0.808& 0.555& 1& 0.262& 0.285& -0.483& 0.201& 0.13& 0.062& 0.06\\ 0.51& -0.258& 0.013& 0.01& 0.321& 0.262& 1& 0.335& -0.158& 0.498& -0.15& -0.143& 0.377\\ 0.136& 0.506& 0.161& 0.449& -0.26& 0.285& -0.335& 1& 0.449& 0.162& -0.24& 0.08& 0.561\\ -0.23& -0.142& 0.168& 0.45& -0.262& -0.483& -0.158& 0.449& 1& 0.083& -0.73& 0.482& 0.597\\ 0.665& 0.079& 0.385& 0.417& 0.202& 0.201& 0.498& 0.162& 0.083& 1& -0.38& -0.112& 0.266\\ -0.14& 0.21& 0.099& 0.127& 0.096& 0.129& -0.148& -0.24& -0.73& -0.38& 1& -0.475& -0.32\\ 0.19& 0.053& 0.012& -0.1& 0.044& -0.062& -0.143& 0.08& 0.482& -0.11& 0.48& 1& 0.228\\ 0.231& 0.112& 0.01& -0.05& -0.188& 0.06& 0.377& 0.561& 0.597& 0.266& -0.32& 0.228& 1\end{array}\right)$

(3) calculate the weight coefficient of each index

If C _jRepresent j the quantity of information that evaluation index comprised, then C _jCan be expressed as:

C _j＝σ _j∑(1-r)，j＝1，2，3，...，M

C _jBig more, j the quantity of information that evaluation index comprised is big more, and the relative importance of this index is also just big more, so the objective weight W of j index _jShould be: $W_j=\frac{C_j}{\underset{j=1}{\overset{n}{\mathrm{\Σ}}}{C}_j},$ j＝1，2，3，...，M

The heavy coefficient calculations result of table 3CRITIC right

Index	??C j	??W j
			Secondary high everyone fixed assets output value of above medical and technical staff's ratio is portfolio per hundred yuan of fixed assets incomes of professional income service quality patent, achievement and the paper score value Bed utilization rate average length of hospitalizations whenever person-time expense in hospital of the success rate outpatient service of death rate Rescuing Critical Patients and the every outpatient service of discharged patient's diagnostic accordance rate person-time expense of performing the operation in rear ten days per capita per capita	??8.481 ??10.664 ??10.721 ??8.887 ??12.214 ??0 ??9.375 ??11.077 ??9.301 ??13.014 ??9.538 ? ??13.972 ??11.027 ??9.363	??0.0616 ??0.0775 ??0.0779 ??0.0646 ??0.0887 ??0 ??0.0681 ??0.0805 ??0.0676 ??0.0946 ??0.0693 ? ??0.1015 ??0.0801 ??0.0680

3. the balance of subjective weight and objective weight

The subjective objective common-used formula that combines tax power method is:

${\mathrm{\λ}}_j=\frac{W_j+{\mathrm{\θ}}_j}{\underset{j=1}{\overset{m}{\mathrm{\Σ}}}(W_j+{\mathrm{\θ}}_j)}$

Wherein: θ _jThe subjective weight of representing j index; W _jThe objective weight of representing j index; λ _jIt is the comprehensive weight of j index; M is the index number.

Utilize above-mentioned formula comprehensive subjectivity tax power AHP method and objective tax power CRITIC method, its 14 last weight coefficients of evaluation index see Table 4.

Obtain the assessment formula of comprehensive performance assessment thus:

PF＝0.0465A2+0.0544A4+0.0702B1+0.0715B3+0.0558B6+0.0867C3+0.1028C4+0.0994C9+0.0558D1+0.0678D3+0.0635D4+0.0575D5+0.0938E1+0.0653F1。

Subjective weight of table 4 and objective weight comprehensive

Index	??θ j	??W j	??λ j
				Secondary high everyone fixed assets output value of above medical and technical staff's ratio is portfolio per hundred yuan of fixed assets incomes of professional income service quality patent, achievement and the paper score value Bed utilization rate average length of hospitalizations whenever person-time expense in hospital of the success rate outpatient service of death rate Rescuing Critical Patients and the every outpatient service of discharged patient's diagnostic accordance rate person-time expense of performing the operation in rear ten days per capita per capita	??0.0313 ??0.0313 ??0.0624 ??0.0469 ??0.0469 ??0.1875 ??0.0625 ??0.0624 ??0.0624 ??0.1041 ??0.1041 ? ??0.1041 ??0.0469 ??0.0469	??0.0616 ??0.0775 ??0.0779 ??0.0646 ??0.0887 ??0 ??0.0681 ??0.0805 ??0.0676 ??0.0946 ??0.0693 ? ??0.1015 ??0.0801 ??0.068	??0.0465 ??0.0544 ??0.0702 ??0.0558 ??0.0678 ??0.0938 ??0.0653 ??0.0715 ??0.0650 ??0.0994 ??0.0867 ? ??0.1028 ??0.0635 ??0.0575

(7) comprehensive performance of 8 evaluated tame hospitals is assessed

1. analytical hierarchy process assessment result

Take advantage of standardized value parameter weighted value with flexible strategy separately, the weighted value addition of each each index of hospital is total points.As hospital's 1 total points is 0.087, other hospital's computation process and the results are shown in Table 5.

Learn from the total points rank of table 5: first place is a hospital 2, and second place is a hospital 1, is hospital 4 successively, hospital 6, hospital 5, hospital 3, hospital 7, hospital 8.

Each hospital's analytical hierarchy process result of calculation of table 5

Index	Weight and calculated value	Hospital 1	Hospital 2	Hospital 3	Hospital 4	Hospital 5	Hospital 6	Hospital 7	Hospital 8
										Secondary high above medical and technical staff's ratio	??0.0465	??18.8	??23.4	??19.2	??17.4	??12.7	??16.9	??14.2	??12.1

Everyone fixed assets are portfolio per hundred yuan of fixed assets incomes of professional income service quality patent, achievement and the paper Bed utilization rate average length of hospitalizations whenever person-time expense in hospital of the success rate outpatient service of death rate Rescuing Critical Patients and the every outpatient service of discharged patient's diagnostic accordance rate person-time expense of performing the operation in rear ten days per capita per capita

Markization value weighted value 0.0544 markization value weighted value 0.0702 markization value weighted value 0.0558 markization value weighted value 0.0678 markization value weighted value 0.0938 markization value weighted value 0.0653 markization value weighted value 0.0715 markization value weighted value 0.0650 markization value weighted value 0.0994 markization value weighted value 0.0867 markization value weighted value 0.1028 markization value weighted value 0.0635 markization value weighted value 0.5750 markization value weighted value total points rank

??0.521 ??0.024 ??42.7 ??0.373 ??0.020 ??1324 ??0.055 ??0.004 ??315983 ??1.308 ??0.073 ??74 ??0.573 ??0.039 ??8.000 ??0.000 ??0.000 ??0.036 ??1.368 ??0.089 ??98.4 ??0.501 ??0.036 ??12.4 ??0.267 ??0.017 ??0.270 ??-0.960 ??-0.095 ??91.4 ??0.527 ??0.046 ??98 ??-0.356 ??-0.037 ??191 ??-1.134 ??-0.072 ??10867 ??-0.611 ??-0.035 ??0.109 ??2

??1.742 ??0.081 ??51.9 ??1.307 ??0.071 ??1582 ??1.515 ??0.106 ??328270 ??1.544 ??0.086 ??63 ??-0.180 ??-0.012 ??8.000 ??0.000 ??0.000 ??0.033 ??1.081 ??0.071 ??102.9 ??0.836 ??0.060 ??11.9 ??0.839 ??0.055 ??0.210 ??-0.262 ??-0.026 ??94.0 ??1.432 ??0.124 ??96 ??0.277 ??0.028 ??179 ??0.378 ??0.024 ??8902 ??1.154 ??0.066 ??0.734 ??1

??0.627 ??0.029 ??26.5 ??-1.271 ??-0.069 ??1079 ??-1.332 ??-0.093 ??236810 ??-0.209 ??-0.012 ??89 ??1.599 ??0.108 ??8.000 ??0.000 ??0.000 ??0.031 ??0.933 ??0.061 ??96.7 ??0.374 ??0.027 ??13.6 ??-1.106 ??-0.072 ??0.270 ??-0.960 ??-0.095 ??86.7 ??-1.110 ??-0.096 ??95 ??0.664 ??0.068 ??176 ??0.756 ??0.048 ??10791 ??-0.543 ??-0.031 ??-0.128 ??6

??0.149 ??0.007 ??34.3 ??-0.480 ??-0.026 ??1190 ??-0.704 ??-0.049 ??257478 ??0.187 ??0.010 ??75 ??0.641 ??0.043 ??8.000 ??0.000 ??0.000 ??0.020 ??-0.077 ??-0.005 ??71.2 ??-1.528 ??-0.109 ??8.4 ??1.077 ??0.070 ??0.090 ??1.134 ??0.113 ??90.7 ??0.283 ??0.025 ??99 ??-0.848 ??-0.087 ??124 ??0.590 ??0.037 ??5075 ??-0.133 ??-0.008 ??0.021 ??3

??-1.098 ??-0.051 ??44.7 ??0.576 ??0.031 ??1290 ??-0.138 ??-0.010 ??206522 ??-0.789 ??-0.044 ??46 ??-1.342 ??-0.091 ??8.000 ??0.000 ??0.000 ??0.014 ??-0.566 ??-0.037 ??87.2 ??-0.335 ??-0.024 ??8.5 ??0.949 ??0.062 ??0.060 ??1.483 ??0.147 ??86.6 ??-1.145 ??-0.099 ??99 ??-0.813 ??-0.084 ??121 ??0.836 ??0.053 ??4527 ??1.259 ??0.072 ??-0.074 ??4

??0.017 ??0.001 ??23.7 ??-1.555 ??-0.085 ??1177 ??-0.779 ??-0.055 ??173716 ??-1.417 ??-0.079 ??73 ??0.505 ??0.034 ??8.000 ??0.000 ??0.000 ??0.009 ??-0.992 ??-0.065 ??112.6 ??1.560 ??0.112 ??9.9 ??-0.846 ??-0.055 ??0.120 ??0.785 ??0.078 ??92.9 ??1.049 ??0.091 ??99 ??-0.813 ??-0.084 ??137 ??-0.476 ??-0.030 ??4758 ??0.673 ??0.039 ??-0.098 ??5

??-0.700 ??-0.033 ??44.7 ??0.576 ??0.031 ??1552 ??1.345 ??0.094 ??230865 ??-0.322 ??-0.018 ??52 ??-0.932 ??-0.063 ??8.000 ??0.000 ??0.000 ??0.007 ??-1.223 ??-0.080 ??84.1 ??-0.566 ??-0.040 ??10.1 ??-1.103 ??-0.072 ??0.210 ??-0.262 ??-0.026 ??89.7 ??-0.065 ??-0.006 ??97 ??-0.180 ??-0.019 ??124 ??0.590 ??0.037 ??5536 ??-1.303 ??-0.075 ??-0.268 ??7

??-1.258 ??-0.058 ??43.7 ??0.474 ??0.026 ??1321 ??0.038 ??0.003 ??231898 ??-0.303 ??-0.017 ??53 ??-0.864 ??-0.059 ??8.000 ??0.000 ??0.000 ??0.015 ??-0.523 ??-0.034 ??80.4 ??-0.842 ??-0.060 ??9.3 ??-0.077 ??-0.005 ??0.270 ??-0.960 ??-0.095 ??87.1 ??-0.971 ??-0.084 ??91 ??2.070 ??0.213 ??150 ??-1.542 ??-0.098 ??5218 ??-0.496 ??-0.029 ??-0.298 ??8

2, the present invention also utilizes TOPSIS weighted method, factor analysis, clustering methodology respectively the performance of above-mentioned 8 tame hospitals to be assessed (be limited to not care about one's appearance, omit its process), the assessment result such as the table 6 of the whole bag of tricks respectively

The assessment result of four kinds of methods of table 6

Hospital name	The analytical hierarchy process rank	topSIS weighted method rank	The factor analysis rank	The clustering methodology rank	Ranking adds up to	Last rank
							7 hospitals 8 of 6 hospitals of 5 hospitals of 4 hospitals of 3 hospitals of 2 hospitals of 1 hospital of hospital	??2 ??1 ??6 ??3 ??4 ??5 ??7 ??8	??2 ??1 ??6 ??3 ??4 ??5 ??7 ??8	??2 ??1 ??7 ??3 ??5 ??6 ??4 ??8	??1 ??1 ??3 ??2 ??2 ??3 ??4 ??4	??7 ??4 ??22 ??11 ??15 ??19 ??22 ??28	??2 ??1 ??6 ??3 ??4 ??5 ??7 ??8

Table 6 shows: no matter be analytical hierarchy process and the TOPSIS weighted method that has subjective colo(u)r, and the factor analysis and the clustering methodology that still have objectivity, the performance of hospital 2 is all arranged first place.Four kinds of methods have reflected the reliability of 4 kinds of appraisal procedures and result's stability to the performance evaluation rank basically identical of 8 tame hospitals, and also 14 kinds of indexs filtering out of explanation can reflect the performance of hospital comparatively exactly.

Claims (10)

1, a kind of assessment of modern hospital performance and management system, this system are used for the performance of evaluated hospital is made science, objective assessment, comprising:

The information acquisition subsystem comprises being distributed in each section office scene of evaluated hospital and by the computing machine that network is connected, being used to gather the data information relevant with performance;

Database subsystem comprises a computing machine on described network, is used to store the historical data data and receives store each section office's data information of being gathered in real time by the information acquisition subsystem, calls for the performance analysis subsystem;

The performance analysis subsystem, comprise performance analysis module, performance indicators module and performance report generation module, be used for setting up and constantly improve performance indicator system according to expertise and statistical model, analyze and determine the contribution weight of each index, calculate total performance of evaluated hospital at last and export the performance form total performance;

The managerial decision subsystem is used to receive the performance information of performance analysis subsystem, is made the work suggestion according to performance information and is arranged by the relevant administrative leader of hospital;

Performance indicators module in the described performance analysis subsystem comprises: resource allocation structure A, work efficiency B, quality of medical care C, economic benefit D, service quality E and development potentiality F.

2, the assessment of modern hospital performance according to claim 1 and management system is characterized in that: being defined as follows of described performance indicators:

Resource allocation structure A comprises: secondary high above medical and technical staff's ratio A2 and everyone fixed assets output value A4;

Work efficiency B comprises: year portfolio B1, berth utilization rate B3 and the person's of leaving hospital average time in hospital day B6 per capita;

Quality of medical care C comprises: urgent patient's salvage success rate C3, outpatient service and discharged patient's diagnostic accordance rate C4 and the mortality ratio C9 in back 10 days that performs the operation;

Economic benefit D comprises: year professional income D1, per hundred yuan of capital assets are taken in D3, every outpatient service person-time expense D4 and person-time expense D5 that whenever is in hospital per capita;

Service quality E comprises: patient and employee are to the satisfaction E1 of hospital;

Development potentiality F comprises: scientific payoffs, intellecture property and at the core periodical quantity F1 that publishes thesis per capita.

3, the assessment of modern hospital performance according to claim 2 and management system is characterized in that: reflect that described performance indicators combines the result of subjective analysis and objective analysis to the weight coefficient of total performance contribution, is specially:

Resource allocation structure A is 0.1009, and wherein secondary high above medical and technical staff's ratio A2 is 0.0465, and everyone fixed assets output value A4 is 0.0544;

Work efficiency B is 0.1975, and wherein a year portfolio B1 is 0.0702 per capita, and berth utilization rate B3 is 0.0715, and the person's of leaving hospital average time in hospital day B6 is 0.0558;

Quality of medical care C is 0.2889, and wherein urgent patient's salvage success rate C3 is 0.0867, and outpatient service and discharged patient's diagnostic accordance rate C4 are 0.1028, and performing the operation, mortality ratio C9 is 0.0994 in back 10 days;

Economic benefit D is 0.2446, and wherein a year professional income D1 is that 0.0558, per hundred yuan of capital assets income D3 are 0.0678 per capita, and every outpatient service person-time expense D4 is 0.0635, and person-time expense D5 that whenever is in hospital is 0.0575;

Service quality E is 0.0938, and promptly patient and employee are 0.0938 to the satisfaction E1 of hospital;

Development potentiality F is 0.0653, i.e. scientific payoffs, intellecture property and be 0.0653 at the core periodical quantity F1 that publishes thesis per capita;

The computing formula of hospital performance is thus:

PF＝0.0465A2+0.0544A4+0.0702B1+0.0715B3+0.0558B6+0.0867C3+0.1028C4+0.0994C9+0.0558D1+0.0678D3+0.0635D4+0.0575D5+0.0938E1+0.0653F1。

4, the assessment of modern hospital performance according to claim 3 and management system is characterized in that: the subjective analysis method of described performance indicators weight coefficient adopts the DELPHI method, or the AHPA method, or expert's point system.

5, the assessment of modern hospital performance according to claim 3 and management system is characterized in that: the objective analysis method of described performance indicators weight coefficient adopts entropy power method, or dispersion method, or the CRITIC method.

6, a kind of appraisal procedure of modern hospital performance is characterized in that: this method comprises the steps:

A. compile the historical summary of how tame representative hospital, data quantity is the bigger the better;

B. according to the data of collecting by the influence factor that may influence total performance that the multidigit expert rule of thumb determines primary election, promptly determine derivative index;

C. according to the derivative index of primary election, screen, to determine selected index with the derivative index of several different methods to primary election;

D. with more than one method the representativeness of selected index is verified, established the index system of performance at last;

E. use the weight coefficient of subjective analysis method and objective analysis method parameter system respectively;

F. the weight coefficient of subjective analysis and the weight coefficient of objective analysis are weighted on average, obtain in conjunction with weight coefficient main, objective analysis;

G. set up the performance computing formula according to the weight coefficient of each selected index;

H. according to the data of evaluated hospital, utilize the performance computing formula that the performance of evaluated hospital is assessed.

7, the appraisal procedure of modern hospital performance according to claim 6, it is characterized in that: the derivative index of described primary election is 32 primary election indexs of totally 6 big classes, be respectively: resource allocation structure A comprises: health workers' ratio A1, secondary high above medical and technical staff's ratio A2, medical care are than A3, everyone fixed assets output value A4 and every fixed assets output value A5; Work efficiency B comprises: year outpatient service person-time B1, year be in hospital person-time B2, berth utilization rate B3, sick bed number of turnover B4, sick bed B5 on working day and the person's of leaving hospital average time in hospital day B6 per capita per capita; Quality of medical care C comprises: cure improvement rate C1, case fatality rate C2, urgent patient's salvage success rate C3, outpatient service and discharged patient's diagnostic accordance rate C4, be admitted to hospital with discharged patient's diagnostic accordance rate C5, discharged patient's acatalepsia rate C6, be admitted to hospital diagnosis rate C7, perioperatively diagnostic accordance rate C8 on the three, mortality ratio C9 and incidence of nosocomial infection C10 in back 10 days perform the operation; Economic benefit D comprises: per capita year professional income D1, every year professional income D2, per hundred yuan of capital assets incomes D3, every outpatient service person-time expense D4, whenever be in hospital person-time expense D5 and professional income expenditure compares D6; Service quality E comprises: out-patient clinic and hospitalization patient satisfaction E1, employee to leader's satisfaction E2 and clinical department to logistics satisfaction E3; Development potentiality F comprises: scientific payoffs, intellecture property and at core periodical publish thesis quantity F1 and growth rate of fixed assets F2 per capita;

Above-mentioned derivative index selected index after screening, representative checking, weight system are calculated has 14 indexs of 6 big classes, specific as follows: resource allocation structure A is 0.1009, wherein secondary high above medical and technical staff's ratio A2 is 0.0465, and everyone fixed assets output value A4 is 0.0544; Work efficiency B is 0.1975, and wherein a year portfolio B1 is 0.0702 per capita, and berth utilization rate B3 is 0.0715, and the person's of leaving hospital average time in hospital day B6 is 0.0558; Quality of medical care C is 0.2889, and wherein urgent patient's salvage success rate C3 is 0.0867, and outpatient service and discharged patient's diagnostic accordance rate C4 are 0.1028, and performing the operation, mortality ratio C9 is 0.0994 in back 10 days; Economic benefit D is 0.2446, and wherein a year professional income D1 is that 0.0558, per hundred yuan of capital assets income D3 are 0.0678 per capita, and every outpatient service person-time expense D4 is 0.0635, and person-time expense D5 that whenever is in hospital is 0.0575; Service quality E is 0.0938, and promptly patient and employee are 0.0938 to the satisfaction E1 of hospital; Development potentiality F is 0.0653, i.e. scientific payoffs, intellecture property and be 0.0653 at the core periodical quantity F1 that publishes thesis per capita;

Described performance computing formula is:

PF＝0.0465A2+0.0544A4+0.0702B1+0.0715B3+0.0558B6+0.0867C3+0.1028C4+0.0994C9+0.0558D1+0.0678D3+0.0635D4+0.0575D5+0.0938E1+0.0653F1。

8, the appraisal procedure of modern hospital performance according to claim 6 is characterized in that: used 5 kinds of appraisal procedures simultaneously when the screening derivative index, they are respectively:

Subjective estimate method: hospital management expert and actual professional are independent of set derivative index, select selected index according to the own judgement of each index importance is given a mark to it respectively;

Discrete tendency method: this is to select index from the susceptibility angle, and the discrete trend of index is little, and its discrimination is just poor when being used to assess performance, therefore should select the discrete bigger index of trend;

Correlation coefficient process: this is to select index from representative angle with independence, and this law is selected the selected index of the more and less conduct of associated index number;

Principal component analysis (PCA) and factor analysis: this is to select index from representative angle, carries out main genetic analysis from the correlativity of each index, selects the bigger index of related coefficient;

Clustering methodology: this also is to select index from representative angle, earlier with hierarchical clustering method each derivative index is carried out cluster analysis, then by the representative index of square selecting of related coefficient.

9, the appraisal procedure of modern hospital performance according to claim 6 is characterized in that: the subjective analysis method of described performance indicators weight coefficient adopts the AHPA method; The objective analysis method of described performance indicators weight coefficient adopts the CRITIC method.

10, the appraisal procedure of modern hospital performance according to claim 6 is characterized in that: described selected index and weight coefficient thereof and performance computing formula are along with increasing progressively of time and data quantity need regularly be revised.

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