Optimization Research on Hospital Informatization Construction Based on 2023 Medical Resource Statistical Data

Abstract

Based on 15 national medical and health institution statistical documents in 2023, this study systematically sorts out core indicators such as the number of hospitals, bed capacity grouping, and distribution of primary-level institutions. Adopting quantitative analysis methods, it reveals the coupling correlation mechanism between medical resource allocation and hospital informatization construction. The study introduces the Theil index to measure the regional balance of medical resources, and combined with 5 types of core data tables, clarifies the core characteristics of China's medical resources: "small and medium-sized hospitals as the mainstay, uneven regional distribution, and weak foundation of primary-level institutions", as well as their constraints on hospital informatization construction. By constructing a "resource-demand-investment" three-dimensional matching model, a targeted hierarchical and classified informatization construction path is proposed, providing an optimized scheme with both data support and practical feasibility to solve the current practical dilemmas of "investment imbalance, supply-demand mismatch, and data fragmentation" in hospital informatization construction.