Computer health index: A framework for Udonthani Hospital

Abstract

The management and maintenance of computer systems in hospitals are critical factors affecting the continuity of hospital services. This study proposes a conceptual framework called the “Computer Health Index” (CHI) to support planning and forecasting for computer management within hospital information systems. The framework is based on machine learning and statistical data analysis of baseline data and computer repair records, including Principal Component Analysis (PCA), Regression, Logistic Regression, and Clustering, to construct an integrated index. The results show that CHI can effectively reflect the health and computing environment of hospitals. Statistical findings highlight the significant importance of prioritization in system usage. This study supports data collection by IT staff, reporting and data recording by users, and policy decision-making by administrators. It can be applied to planning, procurement, replacement, maintenance, and budgeting for computer systems in the future.

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