From Strategic Planning to Operations: A Decision Support Mechanism for Care Delivery in a Tertiary Hospital in China.
With China introducing diagnosis-related groups to insurance payment policies as a component of health care reform, the emphasis on operational management has become increasingly important and specific. Under the current payment and evaluation system, tertiary-level public hospitals are facing escal...
| Publicado en: | NEJM Catalyst Innovations in Care Delivery Vol. 6; pp. 1 - 20 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
New England Journal of Medicine
2025 Supplement 1
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=190744023&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 190744023 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 26420007 MC92 jtl: NEJM Catalyst Innovations in Care Delivery issn: 26420007 maglogo: N pubinfo: dt: 2025 Supplement 1 vid: 6 pid: 388 pub: New England Journal of Medicine place: Waltham, Massachusetts artinfo: ui: 190744023 190744023 190744023 10.1056/CAT.25.0153 190744023 ppf: 1 ppct: 19 formats: tig: atl: From Strategic Planning to Operations: A Decision Support Mechanism for Care Delivery in a Tertiary Hospital in China. aug: au: Xin, Yu Tang, Huimin Gao, Peng Chen, Hu Xie, Xiaolei affil: Research Assistant, Research Center for Healthcare Data Standard, Institute for Hospital Management, Tsinghua University, Beijing, China sug: subj: Strategic Planning Decision Support Systems, Management Health Care Delivery Tertiary Health Care China Health Facility Administration China Health Care Reform Decision Making, Computer Assisted Diagnosis-Related Groups Value-Based Health Care Health Resource Allocation Performance Measurement Systems Planning Techniques Feedback ab: With China introducing diagnosis-related groups to insurance payment policies as a component of health care reform, the emphasis on operational management has become increasingly important and specific. Under the current payment and evaluation system, tertiary-level public hospitals are facing escalating pressures to reconcile competing priorities such as case mix index, bed utilization, and value-based revenue growth. In collaboration with a 1500-bed tertiary public hospital, the authors developed a data-driven decision support mechanism, designed to be used from strategic planning through operations, while pursuing performance improvements under resource constraints. With the use of this mechanism, a system was developed to transform hospital performance metrics into actionable plans. This system was designed to be capable of adjusting to unmet goals and aligning with seasonal demand fluctuations. Mixed-integer programming models were employed to enable the balancing of competing goals to achieve operational excellence, and bidirectional feedback was used to resolve top-down and bottom-up mismatches, ensuring alignment between hospital-level goals and department-level execution. Utilizing deidentified data from the hospital, the authors demonstrated that the system, in scenario-based case mix planning iterations, is potentially capable of improving performance metrics with reasonable trade-offs. Future research aims at extending the framework to provide a holistic solution to support hospitals in achieving operational excellence by enhancing medium- to long-term resource planning, dynamically aligning supply with demand and, ultimately, leading to a new operational pattern for hospitals. A tertiary hospital in Beijing developed a data-driven analytical framework to bridge the gap between strategic objectives and operational practices. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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