Construction and Application of a Preferred Appointment Resource Recommendation System for Hierarchical Medical Care Based on Multi-model Collaboration

Corresponding author: Shi Yan, 2471116@qq.com

DOI: 10.12201/bmr.202610.00039

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  Abstract: Purpose/Significance A municipal intelligent recommendation system for priority appointment slots in hierarchical medical care for family doctors is constructed to address insufficient primary care consultation rate at grassroots level, low referral accuracy and unbalanced appointment slot matching, and improve the quality of contracted services provided by family doctors and the efficiency of hierarchical medical care.Method/Process A four-layer logical architecture was adopted with integrated big data collection, governance and analytical technologies. Three algorithm models including expert-based recommendation, hospital advantage  appointment recommendation and optimal combination recommendation were deployed to realize precise matching and intelligent referral.Result/Conclusion The system can increase the adoption rate of recommended priority appointment slots and referral fulfillment rate in the city.It effectively optimizes the allocation of medical resources and strengthens the pivotal role of family doctors, providing practical references for the efficient implementation of regional hierarchical medical care.

  Key words: Big Data; Algorithm Models; Hierarchical Medical Care; Preferred Appointment Resources; Intelligent Recommendation

  Submit time: 19 October 2026

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  1	2026-06-04	10.12201/bmr.202610.00039V1	Download

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