An IP-based healthcare provider shift design approach to minimize patient handoffs.
The new Accreditation Council for Graduate Medical Education (ACGME) duty-hour standards for residents and fellows went into effect in 2011. These regulations were designed to reduce fatigue-related medical errors and improve patient safety. The new shift restrictions, however, have led to more freq...
| Publicado en: | Health Care Management Science Vol. 17; no. 1; pp. 1 - 15 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Mar2014
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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=104043130&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104043130 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13869620 BSE jtl: Health Care Management Science issn: 13869620 maglogo: N pubinfo: dt: Mar2014 vid: 17 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104043130 NLM23624640 2012505808 10.1007/s10729-013-9237-z NLM23624640 104043130 ppf: 1 ppct: 14 formats: tig: atl: An IP-based healthcare provider shift design approach to minimize patient handoffs. aug: au: Kazemian, Pooyan Dong, Yue Rohleder, Thomas R Helm, Jonathan E Van Oyen, Mark P affil: Department of Industrial and Operations Engineering, University of Michigan, 1205 Beal Ave., Ann Arbor, MI, 48109, USA, pooyan@umich.edu. sug: subj: Intensive Care Units Administration Internship and Residency Administration Hand Off (Patient Safety) Personnel Staffing and Scheduling Administration Systems Analysis Algorithms Computer Simulation Organizational Efficiency Time Factors ab: The new Accreditation Council for Graduate Medical Education (ACGME) duty-hour standards for residents and fellows went into effect in 2011. These regulations were designed to reduce fatigue-related medical errors and improve patient safety. The new shift restrictions, however, have led to more frequent transitions in patient care (handoffs), resulting in greater opportunity for communication breakdowns between caregivers, which correlate with medical errors and adverse events. Recent research has focused on improving the quality of these transitions through standardization of the handoff protocols; however, no attention has been given to reducing the number of transitions in patient care. This research leverages integer programming methods to design a work shift schedule for trainees that minimizes patient handoffs while complying with all ACGME duty-hour standards, providing required coverage, and maintaining physician quality of life. In a case study of redesigning the trainees' schedule for a Mayo Clinic Medical Intensive Care Unit (MICU), we show that the number of patient handoffs can be reduced by 23 % and still meet all required and most desired scheduling constraints. Furthermore, a 48 % reduction in handoffs could be achieved if only the minimum required rules are satisfied. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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