ArticleBMC health services research2026
Dynamic evaluation system for improving hospital outsourcing service performance: a G1-Critic and LSTM+Dropout approach.
Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundStatic scorecards dominate hospital outsourcing evaluation, but fixed weights cannot adapt to shifting operational priorities. We developed a dynamic evaluation system that intentionally re-weights indicators each month to steer contractors toward emerging risk areas.
methodsA two-campus, 1350-bed medical group was followed for 24 months. During 2023, baseline performance of six domains (service quality, efficiency & timeliness, cost control, compliance, safety, staffing & satisfaction) was captured with equal weights. In 2024, a G1–CRITIC hybrid supplied the initial weight vector, after which an Long Short-Term Memory (LSTM)+Dropout network forecast next-month scores. Weights were automatically up-regulated for indicators predicted to deteriorate and down-regulated for those expected to improve, then normalised to 1. Impact was quantified with interrupted time-series analysis (ITSA).
resultThe LSTM+Dropout model yielded test RMSE ≤ 1.60 (scale 0–100) across all indicators. After 12 months of dynamic adjustment, ITSA showed immediate and significant improvements in service quality (+23.2 points, p = 0.001), cost control (+24.6 points, p = 0.004) and the standardised mean score (+8.5 points, p = 0.001). No adverse effects were observed in other domains.
conclusionsConverting a static scorecard into a self-adjusting steering lever significantly accelerated contractor quality gains. The system requires only routine administrative data and open-source software, offering a readily replicable tool for proactive, data-driven governance of outsourced hospital services.
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