Objectives of Occupational Health Information System (OHIS) are to help managing workers' health and to support decision making for managers. OHIS can also be utilized to support reserch and training in this field. While an importance of OHIS is
recognized for the last several years, a reserch in this area has not been actively carried out at present. The purpose of this study is to devolop a OHIS model using a system development life cycle (SDLC) method. SDLC method consists of
strategic
plan,
analysis systems design, and implementation of the system.
@ES Results from the study were as follows:
@EN First, strategic plans for OHIS is divided into the three stages. The first stage is a development of information system for measuring healtyh status of workers. In the second stage, the system for health screening and environmental
measurement
is
developed and integrated with the system developed in the first stage. In the third stage, a system for accounting and reporting process will be developed.
Second, according to the priorities in the strategic plans, information requirements for the healtyh screening division, environmental measurement division, health service division and administrative division were analysed using Structured System
Analysis methods.
Third, in the system design, conceptual design for the system was performed using hierarchy input process output (HIPO), database design, system folw chart, and network design.
Forth, in the system evaluation, the risk factors were analysed and their corresponding risk-reducing strategies were developed. The risk factors are lack of understanding, lack of standardization, and lack of administrative support such as
budgets. The
risk-reducing strategies were actively involving managers, training users, reducing workload system, and standardizing.
In the future, more comprehensive and detailed design for the system should be designed to more effective support the management of the center. The performances as well as economic benefits of information system should be quantitatively
evaluated.
|