Monthly clinic assignments for internal medicine housestaff

Bard, Jonathan F.; Shu, Zhichao; Leykum, Luci K.

doi:10.1080/19488300.2013.857370

Cited by 24 publications

(12 citation statements)

References 29 publications

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“…12 The aims of provider rostering problems focus on achieving satisfactory coverage in a unit (e.g., emergency department) 13,14 to meet uncertain demand and providing equity in the schedule with respect to provider preferences, night shifts, or weekend schedules. 15,16 Research focused on provider scheduling in outpatient settings has been concentrated on medical resident scheduling, particularly related to specialty rotation scheduling. [17][18][19][20] Yet, little is known regarding the design of provider schedules in outpatient specialty clinic settings where providers may spend only a portion of their time seeing patients (v. time allocated to research, education, and administrative duties).…”

Section: Discussionmentioning

confidence: 99%

A Method for Balancing Provider Schedules in Outpatient Specialty Clinics

Berg

Erdogan

Lobo

et al. 2020

MDM Policy & Practice

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Background. Variability in outpatient specialty clinic schedules contributes to numerous adverse effects including chaotic clinic settings, provider burnout, increased patient waiting times, and inefficient use of resources. This research measures the benefit of balancing provider schedules in an outpatient specialty clinic. Design. We developed a constrained optimization model to minimize the variability in provider schedules in an outpatient specialty clinic. Schedule variability was defined as the variance in the number of providers scheduled for clinic during each hour the clinic is open. We compared the variance in the number of providers scheduled per hour resulting from the constrained optimization schedule with the actual schedule for three reference scenarios used in practice at M Health Fairview’s Clinics and Surgery Center as a case study. Results. Compared to the actual schedules, use of constrained optimization modeling reduced the variance in the number of providers scheduled per hour by 92% (1.70–0.14), 88% (1.98–0.24), and 94% (1.98–0.12). When compared with the reference scenarios, the total, and per provider, assigned clinic hours remained the same. Use of constrained optimization modeling also reduced the maximum number of providers scheduled during each of the actual schedules for each of the reference scenarios. The constrained optimization schedules utilized 100% of the available clinic time compared to the reference scenario schedules where providers were scheduled during 87%, 92%, and 82% of the open clinic time, respectively. Limitations. The scheduling model’s use requires a centralized provider scheduling process in the clinic. Conclusions. Constrained optimization can help balance provider schedules in outpatient specialty clinics, thereby reducing the risk of negative effects associated with highly variable clinic settings.

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Section: Discussionmentioning

confidence: 99%

A Method for Balancing Provider Schedules in Outpatient Specialty Clinics

Berg

Erdogan

Lobo

et al. 2020

MDM Policy & Practice

View full text Add to dashboard Cite

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“…It is also interesting to note instances in which scheduling is performed over small consecutive time intervals that span a longer planning period. For example, in [Cohn et al, 2009] planning is performed weekly over a time horizon of one year, and in [Bard et al, 2013[Bard et al, , 2014 monthly planning is performed over the same time horizon. Finally, it is worth mentioning that user-defined planning horizons are less frequently verified in PSP.…”

Section: Papermentioning

confidence: 99%

“…With regards to exact methods, the majority of PSP models make use of Mixed Integer Programming (MIP) [Baum et al, 2014;Bowers et al, 2016;Bruni and Detti, 2014;Brunner et al, 2009;Brunner and Edenharter, 2011;Day et al, 2006;Fügener et al, 2015;Sherali et al, 2002;Smalley et al, 2015;Stolletz and Brunner, 2012;Topaloglu, 2009;Topaloglu and Ozkarahan, 2011;Van Huele and Vanhoucke, 2014], Integer Programming (IP) [Beaulieu et al, 2000;Ferrand et al, 2011;Lau, 2010, 2013;Hidri and Labidi, 2016;Huang et al, 2016;Kazemian et al, 2014], or Goal Programming (GP) [Bard et al, 2013[Bard et al, , 2014Elomri et al, 2015;Güler et al, 2013;Shamia et al, 2015;Topaloglu, 2009]. It is worth noting that GP is particularly well suited to the structure of PSP, where staff preferences and individual employment contracts are commonly addressed (in contrast, nurses typically respect collective agreements).…”

Section: Implementation Issuesmentioning

confidence: 99%

“…In a similar application, the assignment of residents and senior academic staff to outpatient clinics is addressed, and AHP is used to incorporate the experiences of the department into a GP model [Güler, 2013]. GP is also used for resident scheduling in Bard et al [2013] and [Elomri et al, 2015]. In the former, residents must rotate through different clinical experiences monthly and in the latter residents are assigned to two types of shifts in two different departments.…”

Section: Implementation Issuesmentioning

confidence: 99%

“…This appendix provides a detailed account of the constraints defined in the reviewed Physician Scheduling Problem (PSP) formulations. ---------------x ------------------------- Bard et al [2013] x --x x ----- Bard et al [2014] x --x ------ Bard et al [2016] --x -x ----- Baum et al [2014] --x -x ----- Beaulieu et al [2000] x ---------Bowers et al [2016] x --------- Bruni and Detti [2014] x ---------Brunner and Edenharter [ ] x ------x --Brunner et al [2009 x --------- ----------Carrasco [2010] x -----x ---Carter and Lapierre [2001] x x -------- Cohn et al [2009] x --------- Day et al [2006] x -----x --- Ferrand et al [2011] ---x ------Fügener et al [2015 x -----x ---Gendron et al [2005] x ---------Güler [2013] x --------- Güler et al [2013] --x -x ----- Gunawan and Lau [2010] ---------x Hidri and Labidi [2016] x ---------Huang et al [2016] x --------- Kazemian et al [2014] x ---------Lo and Lin [2011] x --------- Rosocha et al [2015] x -----x --- Savage et al [2015] -x x -------Sherali et al [2002] x -----x --- Keskinocak [2016] ----x -x ---Smalley et al [2015] x ---------Stolletz and Brunner [2012] x ---------Topaloglu [2006] x --------- -x ---x -------- Beaulieu et al [2000] --x -----------Bowers et al [2016] x -x x ---------- Bruni and Detti [2014] -x ------------ Brunner and Edenharter [2011] -------------x Brunner et al [2009] -------------x Brunner et al [2011] -------------x Carrasco [2010] x x ------------Carter and Lapierre…”

Section: B Detailed Account Of the Constraints Defined In The Reviewed Physician Scheduling Problem Formulationsmentioning

confidence: 99%

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Healthcare Staff Scheduling Using Optimization Under Uncertainty and Simulation

Marchesi¹

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To God, for giving me strength, to illuminate my ways and to allow me to achieve this goal.To my family, for my education, support, affection, and dedication, and for being always by my side, helping me.To the adviser Silvio Hamacher, for the knowledge, guides, lessons, and motivations. He is one of the most notable examples I've had in my life. I am eternally grateful for all the doors that he opened for me, his continuous support, and trust.It was an honor for me having the opportunity to work with Prof. Kalyan S. Pasupathy and Prof. Mustafa Y. Sir at Mayo Clinic. It was an incredible experience to have the chance to work with them and his group. My sincere thanks go to them for the support and dedication to me during my stay.To Leila, Igor, Victor, and Leonardo, for their partnership in studies and moments of relaxation that has become a friendship that I want to take forever.To Stephanie, for patience and unconditional support, believing and making me believe in my potential during my PhD.To Luana, Iuri, Pedro, João Gabriel, Luiza, Gabriela, Danuza, and other colleagues, for their receptivity and collaboration in the work environment.To the many colleagues and professors of PUC-Rio, for providing me with subsidies that allowed me to obtain a valuable academic improvement.To CNPq, FAPERJ, Tecgraf, and PUC-Rio, for the aid granted and the excellent study environment, without which this work would not have been possible.I want to thank to my special friends (Giovanna, Romerito, Jânia, Juliane, Bruna, my EJC's friends, my friends from PSM, and many others) and all those people that were around me providing emotional support and comfort.To all those who, in some way, contributed to this work. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior -Brasil (CAPES) -Finace Code 001.

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Scheduling internal medicine resident rotations to ensure fairness and facilitate continuity of care

Agarwal

2017

Health Care Manag Sci

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Completing a residency program is a requirement for medical students before they can practice medicine independently. Residency programs in internal medicine must undergo a series of supervised rotations in elective, inpatient, and ambulatory units. Typically, a team of chief residents is charged to develop a yearly rotational schedule. This process is complex, as it needs to consider academic, managerial, regulatory, and legal restrictions while also facilitating the provision of patient care, ensuring a diverse educational experience, balancing the workload, and improving resident satisfaction. This study proposes (1) a multi-stage multi-objective optimization approach for generating yearlong weekly resident rotation schedules and (2) the use of Analytical Hierarchy Process (AHP) to compare schedules across multiple criteria to select those that are more equitable and hence to facilitate their adoption and implementation. Furthermore, the proposed approach allows the scheduling of periodic clinic rotation schemes that are commonly used to facilitate continuity of care, such as "4+1" or the "8+2" policies. In the "4+1" policy residents rotate for four consecutive weeks in different units prior to return for a week to a predetermined clinical post. Similarly, in the "8+2" policy, residents rotate eight weeks across multiple units before doing a two week rotation at a predetermined clinic.

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Monthly clinic assignments for internal medicine housestaff

Cited by 24 publications

References 29 publications

A Method for Balancing Provider Schedules in Outpatient Specialty Clinics

A Method for Balancing Provider Schedules in Outpatient Specialty Clinics

Healthcare Staff Scheduling Using Optimization Under Uncertainty and Simulation

Scheduling internal medicine resident rotations to ensure fairness and facilitate continuity of care

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