Automated medical resident rotation and shift scheduling to ensure quality resident education and patient care.
At academic teaching hospitals around the country, the majority of clinical care is provided by resident physicians. During their training, medical residents often rotate through various hospitals and/or medical services to maximize their education. Depending on the size of the training program, man...
| Publicado en: | Health Care Management Science Vol. 19; no. 1; pp. 66 - 89 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Mar2016
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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=113778283&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 113778283 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13869620 BSE jtl: Health Care Management Science issn: 13869620 maglogo: N pubinfo: dt: Mar2016 vid: 19 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 113778283 113778283 NLM25171938 113778283 10.1007/s10729-014-9289-8 NLM25171938 113778283 ppf: 66 ppct: 23 formats: tig: atl: Automated medical resident rotation and shift scheduling to ensure quality resident education and patient care. aug: au: Smalley, Hannah Keskinocak, Pinar Smalley, Hannah K affil: Knoxville USA sug: subj: Academic Medical Centers Administration Software Design Quality of Health Care Administration Internship and Residency Administration Personnel Staffing and Scheduling Administration Human Algorithms Quality of Health Care Standards Internship and Residency Standards Personnel Staffing and Scheduling Standards Academic Medical Centers Standards Workload Validation Studies Comparative Studies Evaluation Research Multicenter Studies Ferrans and Powers Quality of Life Index Scales ab: At academic teaching hospitals around the country, the majority of clinical care is provided by resident physicians. During their training, medical residents often rotate through various hospitals and/or medical services to maximize their education. Depending on the size of the training program, manually constructing such a rotation schedule can be cumbersome and time consuming. Further, rules governing allowable duty hours for residents have grown more restrictive in recent years (ACGME 2011), making day-to-day shift scheduling of residents more difficult (Connors et al., J Thorac Cardiovasc Surg 137:710-713, 2009; McCoy et al., May Clin Proc 86(3):192, 2011; Willis et al., J Surg Edu 66(4):216-221, 2009). These rules limit lengths of duty periods, allowable duty hours in a week, and rest periods, to name a few. In this paper, we present two integer programming models (IPs) with the goals of (1) creating feasible assignments of residents to rotations over a one-year period, and (2) constructing night and weekend call-shift schedules for the individual rotations. These models capture various duty-hour rules and constraints, provide the ability to test multiple what-if scenarios, and largely automate the process of schedule generation, solving these scheduling problems more effectively and efficiently compared to manual methods. Applying our models on data from a surgical residency program, we highlight the infeasibilities created by increased duty-hour restrictions placed on residents in conjunction with current scheduling paradigms. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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