Developing an optimal appointment scheduling for systems with rigid standby time under pre-determined quality of service

Bendavid, Illana; Marmor, Yariv N.; Shnits, Boris

doi:10.1007/s10696-016-9270-6

Cited by 9 publications

(7 citation statements)

References 17 publications

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“…The OLAS model's objective is to determine the effect of overlapping appointments in a healthcare sector (clinic) setting. Different units are involved in this process [ 42 , 43 ].…”

Section: Results and Analysismentioning

confidence: 99%

Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review

Ala

Chen

2022

Journal of Healthcare Engineering

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This paper provides a comprehensive review of Appointment Scheduling (AS) in healthcare service while we propose appointment scheduling problems and various applications and solution approaches in healthcare systems. For this purpose, more than 150 scientific papers are critically reviewed. The literature and the articles are categorized based on several problem specifications, i.e., the flow of patients, patient preferences, and random arrival time and service. Several methods have been proposed to shorten the patient waiting time resulting in the shortest idle times in healthcare centers. Among existing modeling such as simulation models, mathematical optimization techniques, Markov chain, and artificial intelligence are the most practical approaches to optimizing or improving patient satisfaction in healthcare centers. In this study, various criteria are selected for structuring the recent literature dealing with outpatient scheduling problems at the strategic, tactical, or operational levels. Based on the review papers, some new overviews, problem settings, and hybrid modeling approaches are highlighted.

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“…The OLAS model's objective is to determine the effect of overlapping appointments in a healthcare sector (clinic) setting. Different units are involved in this process [ 42 , 43 ].…”

Section: Results and Analysismentioning

confidence: 99%

Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review

Ala

Chen

2022

Journal of Healthcare Engineering

View full text Add to dashboard Cite

show abstract

“…Fourteen papers [1,11,13,18,42,81,87,100,120,127,128,144,157,210] indicate that they develop a type of IT artefact that can be implemented to support the clinical pathways under consideration. These papers are also bridging the gap between OR, IS and industrial engineering.…”

Section: Scopementioning

confidence: 99%

“…JCR Category MI [3, 11, 13, 14, 16, 17, 19, 32, 37, 42, 45-47, 52, 54, 56, 57, 66, 72, 73, 1-93, 95-97, 99-101, 108, 122, 124, 131, 140, 144, 149, 150, 157, 160, 164, 170, 178, 187, 196, 197, 206, 211] OR/MS [7,8,12,18,22,23,27,30,31,43,50,51,64,75,79,90,113,114,134,151,158,165,169,190,203,212] HPS [9, 10, 21, 33, 39, 40, 80, 102-104, 110, 116, 141, 143, 153, 163, 166, 209] IE [34,120] AN [53,133] No ISSN [15,24,36,60,70,71,82,127,138,139,142,161,183,[198][199][200] Table A4. Way in which information about the pathway was obtained.…”

Section: Fundingmentioning

confidence: 99%

“…Scope Hospital [8, 21, 23, 27, 29-31, 36, 41, 51, 64, 67, 74-76, 79, 85, 108, 111, 114-117, 134, 142, 145-148, 152, 158, 160, 165, 166, 170, 177, 178, 184, 190, 202, 203, 209] Department [12,14,15,17,18,46,50,52,57,62,68,100,113,125,129,141,151,153,154,161,163,164,167,169,171,182,185,187,212] Clinical [1, 3, 5, 10, 11, 13, 16, 19, 20, 22, 32-35, 40, 42, 43, 45, 47, 53, 60, 70-73, 80-83, 87-99, 102, 107, 110, 112, 121, 124, 126-128, 133, 136, 139, 140, 149, 162, 179, 183, 186, 188, 191, 192, 195, 197-201, 204-206, 210, 211] Disease [4, 7, 9, 13, 24, 25, 37, 39, 43, 48, 49, 54-56, 58, 66, 86, 101-104, 118-120, 122, 128, 131, 138, 143, 144, 150, 157, 172, 196, 211] Table A5…”

Section: Fundingmentioning

confidence: 99%

“…Multiple Methods Two [8,11,12,18,54,74,76,99,108,140,151,162,167,179,190,203] Three [7,211] Table A11. Investigating type.…”

Section: Fundingmentioning

confidence: 99%

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Clinical pathway modelling: a literature review

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Hospital information systems are increasingly used as part of decision support tools for planning at strategic, tactical and operational decision levels. Clinical pathways are an effective and efficient approach in standardising the progression of treatment, to support patient care and facilitate clinical decision making. This literature review proposes a taxonomy of problems related to clinical pathways and explores the intersection between Information Systems (IS), Operational Research (OR) and industrial engineering. A structured search identified 175 papers included in the taxonomy and analysed in this review. The findings suggest that future work should consider industrial engineering integrated with OR techniques, with an aim to improving the handling of multiple scopes within one model, while encouraging interaction between the disjoint care levels and with a more direct focus on patient outcomes. Achieving this would continue to bridge the gap between OR, IS and industrial engineering, for clinical pathways to aid decision support.

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Medical appointment overbooking and optimal scheduling: tradeoffs between schedule efficiency and accessibility to service

2019

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Developing an optimal appointment scheduling for systems with rigid standby time under pre-determined quality of service

Cited by 9 publications

References 17 publications

Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review

Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review

Clinical pathway modelling: a literature review

Medical appointment overbooking and optimal scheduling: tradeoffs between schedule efficiency and accessibility to service

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