The Patient Data Bank in a Medical Information System – Tasks, Requirements, Planning and Design

Tasks, requirements, planning and design of the central data bank in a patient information system are demonstrated by the model of the »Medical System Hanover« (MSH).The Terms »Information System«, in particular »Patient Information System« and »Data Bank« are defined. Based on the ultimate goals of MSH, the task set is formulated and a catalogue of the most important basic requirements of a data bank management system is given as typical for application in a hospital environment. Finally, various points of view that are of essential importance for system planning and design, such as selection of data and structurization of files, are discussed.

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A Model of a Hospital’s Patient Medical Information System)

Methods of Information in Medicine ◽

10.1055/s-0038-1635997 ◽

1970 ◽

Vol 09 (02) ◽

pp. 88-97

Author(s):

R. A. Dixon

Keyword(s):

Information System ◽

Systems Analysis ◽

Medical Information ◽

Data Gathering ◽

Data System ◽

Hospital Environment ◽

Medical Information System ◽

Design Stage ◽

Computer Assisted ◽

Data Systems

Although the retrospective linkage of medical records and the prospective compilation of cumulative health records are continually being urged, even a single hospital has difficulty in integrating all patient-oriented records while simultaneously maintaining an effective information system required to carry out routine procedures dependent on patient data. One underlying problem common to all data systems studies is the need for a computer-assisted technique for data-gathering and analysis by the systems analysis team and the consequent difficulties of communication among the members of the team. The use of such a technique (DATAFLOW) in a hospital environment is described. Completeness and consistency of a model of the system are checked and control points in the system identified. Documentation on the model of system changes is possible both at the design stage and as the system develops. The interface between the data system and expert or physical activities not documented within the data system is preserved, as is that between the data system and the system governing the movement of materials (X-ray films, blood samples, etc.). A model of this system can be documented in a similar way to the data system. Formalisation of data systems analysis promises to further its transformation from an art to a science.

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Optimal selection of medical information system outsourcing vendors for Taiwanese clinics by using analytic hierarchy process and sensitivity analysis

Journal of Information and Optimization Sciences ◽

10.1080/02522667.2007.10699742 ◽

2007 ◽

Vol 28 (2) ◽

pp. 255-277 ◽

Cited By ~ 5

Author(s):

Pi-Fang Hsu ◽

Mei-Ghing Hsu

Keyword(s):

Sensitivity Analysis ◽

Information System ◽

Analytic Hierarchy Process ◽

Medical Information ◽

Medical Information System ◽

Optimal Selection ◽

Analytic Hierarchy ◽

Hierarchy Process ◽

Selection Of

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Current Status of a Medical Information System

Methods of Information in Medicine ◽

10.1055/s-0038-1636005 ◽

1970 ◽

Vol 09 (03) ◽

pp. 149-160 ◽

Cited By ~ 1

Author(s):

E. Van Brunt ◽

L. S. Davis ◽

J. F. Terdiman ◽

S. Singer ◽

E. Besag ◽

...

Keyword(s):

Information System ◽

Medical Records ◽

Medical Information ◽

Clinical Laboratory ◽

Development Program ◽

Medical Data ◽

Direct Access ◽

Medical Information System ◽

Current Status ◽

Central System

A pilot medical information system is being implemented and currently is providing services for limited categories of patient data. In one year, physicians’ diagnoses for 500,000 office visits, 300,000 drug prescriptions for outpatients, one million clinical laboratory tests, and 60,000 multiphasic screening examinations are being stored in and retrieved from integrated, direct access, patient computer medical records.This medical information system is a part of a long-term research and development program. Its major objective is the development of a multifacility computer-based system which will support eventually the medical data requirements of a population of one million persons and one thousand physicians. The strategy employed provides for modular development. The central system, the computer-stored medical records which are therein maintained, and a satellite pilot medical data system in one medical facility are described.

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