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Development and content validation of a quantitative informatics framework for hardware assessment in health
Reza Khajouei1, Zahra Galavi2, Fatemeh Rezaei3
1Fakher Mechatronic Research Center, Kerman University of Medical Sciences, Kerman, Iran., Kerman University of Medical Sciences, Kerman, Iran.
None:
Inefficient hardware configuration in Health Information Systems (HIS) is a global informatics challenge that undermines healthcare delivery. This study designed and content-validated a novel quantitative hardware assessment framework to enable systematic hardware evaluation. We developed an informatics-driven framework through a methodological study in 2024. Initial items were derived from a scoping literature review and expert input from computer engineering. Content validity was assessed using Content Validity Ratio (CVR) and Index (CVI). Inter-rater reliability was evaluated via Intraclass Correlation Coefficient (ICC) across 122 identical computers. The final framework comprises 23 items across three domains. A quantitative scoring model (0-150 points) was established, demonstrating excellent inter-rater reliability (ICC = 0.87). The tool effectively differentiates between obsolete (score < 50), marginal (50-80), and optimal (> 80) configurations, providing IT managers with a clear upgrade priority map. This study presents a development and content validation of a reliable and content-valid informatics framework that bridges hardware assessment with system performance evaluation. Predictive validity against real-world HIS performance metrics (e.g., login time, response latency, freeze frequency) has not yet been empirically tested and remains a critical next step.
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