CN201936304U - System capable of intelligently classifying department comprehensive performances for assessment - Google Patents
System capable of intelligently classifying department comprehensive performances for assessment Download PDFInfo
- Publication number
- CN201936304U CN201936304U CN2010206364757U CN201020636475U CN201936304U CN 201936304 U CN201936304 U CN 201936304U CN 2010206364757 U CN2010206364757 U CN 2010206364757U CN 201020636475 U CN201020636475 U CN 201020636475U CN 201936304 U CN201936304 U CN 201936304U
- Authority
- CN
- China
- Prior art keywords
- server
- data
- hospital
- assessment
- department
- 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.)
- Expired - Fee Related
Links
Images
Landscapes
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The utility model relates to a system capable of intelligently classifying department comprehensive performances for an assessment, and is characterized by comprising a hospital information system (HIS) server, a laboratory information system (LIS) server, a human resource (HR) server, a magnetic resonance (MR) server and a picture archiving and communication (PACS) server. The HIS server, the LIS server, the HR server, the MR server and the PACS server are connected with a data warehouse (DW) server which has a data collection and is built according to a data subject through a local area network. The output end of the DW server is connected with a department performance assessment server, and the department performance assessment server is connected with a plurality of subscriber personal computers (PC). The system collects data from every system of a hospital, establishes the DW, utilizes methods of key performance indicator (KPI), Delphi, analytic hierarchy process (AHP) and the like to design the department performance assessment system, presents the results to users in a chart mode, provides information for department comprehensive performances assessment, provides convenience for the management and maintenance of the hospital, and has good use value.
Description
Technical field
The utility model relates to a kind of the realization section office's comprehensive performance is carried out the system of intelligence arrangement for examination.
Background technology
In recent years, along with developing rapidly of economic and society, the survival and development of hospital are faced with acid test and challenge.Hospital will realize sustainable development, the simple emphasis that must change is in the past estimated Balance of payments and section office or individual's target orientation is not united the also most management modes that are confined to the employee's bonus distribution of the application of evaluation result with the organizational goal of medical institutions.Must when considering how hospital improves comprehensive operation ability, long-acting development, also need to guarantee implementing of hospital's strategic objective.Use for reference the managerial experience of business circles, performance management has become the important means that its management level improve in medical institutions.
Hospital Performance Management is a new visual angle of modern hospital management.Performance management is the management to each key element of hospital performance implementation procedure, and it is based on a kind of management activity on the hospital strategy basis.Emphasize to reach the performance result,, pay attention to reaching result's process more by target, guidance, evaluation, feedback.But how will analyze in conjunction with the operation situation of carrying out of hospital, and to provide the examination of effective achievement with reference to being a big difficult point of Hospital Performance Management all departments, individual achievement data.
Summary of the invention
The purpose of this utility model provides a kind of the realization section office's comprehensive performance is carried out the system of intelligence arrangement for examination, this system can gather the operation situation of the achievement of each section office of hospital in conjunction with hospital automatically, add up, analyze, for high level section office's comprehensive performance is checked and rated and provided support.
The utility model adopts following scheme to realize: a kind of realization carried out the system of intelligence arrangement for examination to section office's comprehensive performance, comprise that HIS server, LIS server, HR server with, MR server and PACS server, is characterized in that: described HIS server, LIS server, HR server, MR server and PACS server have data acquisition and the data warehouse server that makes up according to the data theme is connected through LAN (Local Area Network) and; The output terminal of described data warehouse server is connected with the section office's performance appraisal server with data pre-service, employing KPI, Delphi, AHP method, and described section office performance appraisal server is connected with several user's PCs through LAN (Local Area Network).
The utility model utilizes hospital lan, data acquisition to each system of hospital, and set up data warehouse at data warehouse server, by data pre-service, index selection, weight calculation etc. data are put in order, and on the PC of each leading subscriber, represent with graph mode, for section office's comprehensive performance examination, provide convenience for the hospital management maintenance, have use value preferably.
Description of drawings
Fig. 1 is a system architecture synoptic diagram of the present utility model.
Fig. 2 is the utility model design concept schematic flow sheet.
Fig. 3 is a software system architecture synoptic diagram of the present utility model.
Embodiment
Below in conjunction with drawings and Examples the utility model is described further.
As shown in Figure 1, the utility model provides a kind of the realization that section office's comprehensive performance is carried out the system of intelligence arrangement for examination, comprise that HIS server, LIS server, HR server with, MR server and PACS server, is characterized in that: described HIS server, LIS server, HR server, MR server and PACS server have data acquisition and the data warehouse server that makes up according to the data theme is connected through LAN (Local Area Network) and; The output terminal of described data warehouse server is connected with the section office's performance appraisal server with data pre-service, employing KPI, Delphi, AHP method, and described section office performance appraisal server is connected with several user's PCs through LAN (Local Area Network).The utility model utilizes hospital lan, data acquisition to each system of hospital, and set up data warehouse at data warehouse server, by data pre-service, index selection, weight calculation etc. data are put in order, and on the PC of each leading subscriber, represent with graph mode, for section office's comprehensive performance examination, provide convenience for the hospital management maintenance, have use value preferably.
In order to allow those skilled in the art understand better below the utility model that we do simple introduction to design software of the present utility model and method main points: as shown in Figure 2, the performing step of the utility model system comprises that the foundation of data warehouse, data pre-service, index selection, weight calculation and performance score calculate.
In order to make full use of the use value of information, and excavate useful information, set up effective information framework, standardization, the standardization of carrying out information is indispensable element task.The construction step of described data warehouse is as follows:
(1) at first is the theme of design data storage and sets up the specification data standard, such as doctor's master index, patient's master index, the sick master index etc. of planting.Set up data warehouse model and at first must carry out demand analysis.Data warehouse is to organize data according to the theme of decision analysis, so the theme of design data storage is most important.
Secondly (2) each system of current hospital is unified to extract, and clean, change into unified, specification data according to unified data standard.Hospital Data Warehouse source is very complicated, has both comprised operational database such as HIS, Human Resources Management System etc., comprises non-structured external data such as various file again.May there be bigger difference in the data in various sources on structure and organizational form, also may comprise noise, vacancy, inconsistent data, so the data of data source must just can be loaded into data warehouse through strict extraction, cleaning and conversion.
(3) at last according to the every business demand of hospital, divide theme to represent every information flexibly by business intelligence tools.
Index choice:
Performance appraisal work is wanted comprehensively effectively, must depend on the examination index system of science.Through many-sided Data acquisition, and investigation, in conjunction with multidigit expert of the art's achievement in research, obtaining making up the KPI of section office should consider from four wide-angles, is respectively medical efficiency, quality of medical care, business accounting, section office's management.As pointer type, above-mentioned four big class indexs can continue to launch, and obtain a plurality of specific targets.
An important principle, i.e. SMART principle are arranged when determining the KPI of section office.S (Specific), concrete, refer to the performance indicators specific target of will hitting, not general, but should appropriate refinement, and along with situation changes and changes.M (Measurable), measurable, refer to performance indicators or quantification, or behaviorization, verify that the data of these performance indicators or information can obtain.A (Attainable), attainable, refer to that performance indicators can realize under the situation of working hard, avoid setting up too high or too low target.R (Realistic), reality, referring to that performance indicators is out and out, can prove with observable, but not the imagination.(Time-bound) has the time limit to T, refers to will use regular hour unit in performance indicators, promptly sets the time limit of finishing these indexs.
For example the KPI index that chooses of internal medicine section office is as shown in the table:
：
After KPI determined to finish, the problem of a key was exactly the weight assignment of performance assessment criteria.Weight coefficient is meant the numerical value that target is played the balance effect in a field, and the index importance that weight coefficient is big is also big.The method that this programme has taked Delphi expert interview and AHP to combine is determined weight.
(1) Delphi method
The Delphi method is a kind of groups Decision Method that effectively integrates the multidigit expert opinion.When tissue faces a significant problem, often can use this mode, the steps include: to manage to obtain relevant expert's cooperation (expert comprise college professor, researchist and the experienced supvr of decision problem related fields); Tell each expert the problem that will solve respectively, please they deliver the suggestion of oneself separately; On this basis, the supvr collects all experts' individual opinion, and these suggestions are integrated, and gives every expert the suggestion feedback after comprehensive again; Allow them analyze once more and express an opinion.So repeated multiple times finally forms the scheme of representing expert group's suggestion.This method is a method comparatively timely and effectively in the groups Decision Method.By repeatedly anonymity, effective feedback, obtain all experts' consensus of opinion at last.
(2) AHP method
The AHP method is the systematic analytic method that a kind of qualitative and quantitative analysis combines.It is with the evaluation thought process mathematicization of estimator to complication system, for implementation decision provides the mathematics foundation.With the problem analysis of AHP method, pass through following four steps substantially: set up hierarchy Model, the structure judgment matrix, single preface of level and consistency check, level always sorts and consistency check.The individual subjective view of AHP method is less to the influence of net result, and is applicable to the index system that structure is complicated.
This programme combines this two kinds of methods, is example with internal medicine section office, and the weight that draws is as shown in the table:
：
This performance appraisal system uses thousand fens systems, and promptly the performance appraisal full marks are 1000 minutes.Make that like this appraisal result is clear, and can avoid the appearance of decimal place.
In order to allow those skilled in the art can better realize the utility model, the system architecture that realizes the employing of the utility model method is carried out simple declaration here; As shown in Figure 3, Fig. 3 is a software system architecture synoptic diagram of the present utility model, comprise production system layer, interface layer, data Layer and application layer, it is characterized in that: the data of each operation system of the integrated hospital of described production system layer, integrate, be organized in the data warehouse through interface layer, each system that from data warehouse, extracts application layer through data Layer in requisition for data formation Data Mart, at last provide the data support to the system of correspondence, guarantee the exploitation and the operation of the corresponding system of application layer by Data Mart; The data of described operation system comprise subscriber data data, various card class data, medical treatment cost data, staff attendance data, nursing system data, settlement data: described interface layer adopts integrated data integrated platform ODI.System utilizes Oracle BIEE instrument, and the data after statistical study is handled represent with simple and clear, visible graph mode directly perceived.
What deserves to be mentioned is that what the utility model will be protected is the hardware structure of system, its software and method introduction are just in order to allow the clearer understanding the utility model of those skilled in the art.
The above only is preferred embodiment of the present utility model, and all equalizations of being done according to the utility model claim change and modify, and all should belong to covering scope of the present utility model.
Claims (1)
1. a realization is carried out the system of intelligence arrangement for examination to section office's comprehensive performance, comprise that HIS server, LIS server, HR server with, MR server and PACS server, is characterized in that: described HIS server, LIS server, HR server, MR server and PACS server have data acquisition and the data warehouse server that makes up according to the data theme is connected through LAN (Local Area Network) and; The output terminal of described data warehouse server is connected with the section office's performance appraisal server with data pre-service, employing KPI, Delphi, AHP method, and described section office performance appraisal server is connected with several user's PCs through LAN (Local Area Network).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010206364757U CN201936304U (en) | 2010-12-01 | 2010-12-01 | System capable of intelligently classifying department comprehensive performances for assessment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010206364757U CN201936304U (en) | 2010-12-01 | 2010-12-01 | System capable of intelligently classifying department comprehensive performances for assessment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN201936304U true CN201936304U (en) | 2011-08-17 |
Family
ID=44447821
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010206364757U Expired - Fee Related CN201936304U (en) | 2010-12-01 | 2010-12-01 | System capable of intelligently classifying department comprehensive performances for assessment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN201936304U (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102930361A (en) * | 2012-09-05 | 2013-02-13 | 中国科学院科技政策与管理科学研究所 | Management information system and method for employee promotion planning |
| CN103136629A (en) * | 2011-11-23 | 2013-06-05 | 通用电气公司 | Real-time contextual KPI-based autonomous alerting agent |
| CN113345566A (en) * | 2021-07-07 | 2021-09-03 | 上海蓬海涞讯数据技术有限公司 | Hospital operation management data acquisition integrated device and system |
| CN113487137A (en) * | 2021-06-07 | 2021-10-08 | 复旦大学附属中山医院 | Performance evaluation method, system and device of health management platform |
-
2010
- 2010-12-01 CN CN2010206364757U patent/CN201936304U/en not_active Expired - Fee Related
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103136629A (en) * | 2011-11-23 | 2013-06-05 | 通用电气公司 | Real-time contextual KPI-based autonomous alerting agent |
| CN102930361A (en) * | 2012-09-05 | 2013-02-13 | 中国科学院科技政策与管理科学研究所 | Management information system and method for employee promotion planning |
| CN102930361B (en) * | 2012-09-05 | 2016-08-03 | 中国科学院科技政策与管理科学研究所 | A kind of for employee be transferred and promoted planning management information system and for employee be transferred and promoted planning method |
| CN113487137A (en) * | 2021-06-07 | 2021-10-08 | 复旦大学附属中山医院 | Performance evaluation method, system and device of health management platform |
| CN113345566A (en) * | 2021-07-07 | 2021-09-03 | 上海蓬海涞讯数据技术有限公司 | Hospital operation management data acquisition integrated device and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zheng et al. | Business intelligence for patient-centeredness: a systematic review | |
| Brown et al. | Nursing‐sensitive benchmarks for hospitals to gauge high‐reliability performance | |
| Tourangeau et al. | Impact of nursing on hospital patient mortality: a focused review and related policy implications | |
| CN101986333A (en) | Auxiliary decision supporting system of hospital | |
| Homayounfar | Process mining challenges in hospital information systems | |
| Shin et al. | Advantages and disadvantages of using MDS data in nursing research | |
| Yaya et al. | Evaluating the efficiency of China’s healthcare service: A weighted DEA-game theory in a competitive environment | |
| CN102004962A (en) | Method for realizing intelligent collation on personal comprehensive performance for appraisal | |
| CN107408148A (en) | Be used to help health care consultant and hospital administrators determine hospital optimal human resources planning the system and method based on simulation | |
| CN103745424A (en) | Hospital comprehensive performance information processing system and method | |
| Binder et al. | On analyzing process compliance in skin cancer treatment: An experience report from the evidence-based medical compliance cluster (EBMC 2) | |
| CN108766542A (en) | A kind of data analysis processing method and system | |
| CN201936304U (en) | System capable of intelligently classifying department comprehensive performances for assessment | |
| Jaisook et al. | Time performance analysis of medical treatment processes by using disco | |
| Raine et al. | Healthy Alberta Communities: Impact of a three-year community-based obesity and chronic disease prevention intervention | |
| CN104331469A (en) | Multi-disease image feature library system for medical association | |
| CN106779446A (en) | A kind of family doctor's administration of home patient system | |
| Talib et al. | Total quality management implementation in the healthcare industry: a proposed framework | |
| Huang | Decision making support in reshaping hospital medical services | |
| Zheng et al. | Application of grey entropy weight cluster in clinical department sorting | |
| Morton et al. | What's in a wait?: contrasting management science and economic perspectives on waiting for emergency care | |
| Brennan et al. | Differences in dimensions of satisfaction with private and public dental care among children | |
| Kunecka et al. | The model of professional satisfaction of nursing staff in Poland–brief communication | |
| Anagnostou et al. | Building global research capacity in public health: the case of a science gateway for physical activity lifelong modelling and simulation | |
| CN113570162A (en) | Hospitalization cost prediction method and device based on artificial intelligence and computer equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20110817 Termination date: 20131201 |