Handbook of healthcare system scheduling

336 Pages·2012·2.147 MB·English

by  Randolph W Hall (ed.)

International Series in Operations
Research & Management Science
Volume 168
Series Editor
Frederick S. Hillier, Stanford University, CA, USA
Special Editorial Consultants
Camille C. Price, State University, TX, USA
Stephen F. Austin, State University, TX, USA
For furthervolumes:
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Randolph Hall
Editor
Handbook of Healthcare
System Scheduling
123
Randolph Hall
Epstein Department ofIndustrial and SystemsEngineering
ViterbiSchool ofEngineering
Universityof SouthernCalifornia
McClintockAve. 3715
Los Angeles, CA 90089-0193
USA
e-mail: [email protected]
ISSN 0884-8289
ISBN 978-1-4614-1733-0 e-ISBN978-1-4614-1734-7
DOI 10.1007/978-1-4614-1734-7
SpringerNewYorkHeidelbergDordrechtLondon
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Preface
Provision of high quality and affordable health care is one of the greatest
challenges facing the nations of the world. Growing elderly populations are
straining the budgets of developed countries, such as the United States. Mean-
while, many third world countries face constant hardship in the form of low life
expectancy andhigh infant mortality due toharsh environmental conditions,poor
water quality, scarce medical resources, and risky and violent behavior. To solve
thetwinproblemsofhumanhealthandeconomichealth,healthcaresystemsmust
become more efficient at delivering care and preventing disease.
Thisbookisdedicatedtoimprovingtheefficiencyofhealthcarebyimproving
the scheduling of health care resources (such as doctors, nurses, and medical
equipment)tomeetpatientneeds.Buildingfromoperationsresearchandindustrial
engineering, the authors address the complexities of healthcare scheduling in
contexts ranging from ambulatory clinics to out-patient procedure centers to
surgical theaters. All of the chapters demonstrate the importance of applying
resources in accordance to anticipated needs, and making adjustments as needs
change. In particular, the authors demonstrate how forecasting, queueing models,
stochastic process models, and mathematical programming can improve nurse
scheduling, bed management, appointment setting, and many other healthcare
processes.
It is our hope that the knowledge and techniques presented in this book will
helpmakequalityhealthcareaccessibletomorepeople.Industrialengineeringand
operations research are ready to contribute to improving health care around the
globe.
v
Contents
1 Matching Healthcare Resources to Patient Needs. . . . . . . . . . . . . 1
Randolph Hall
2 Capacity Planning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
Martin Utley and Dave Worthington
3 Nurse Scheduling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
Gino J. Lim, Arezou Mobasher, Laleh Kardar and Murray J. Cote
4 Patient Appointments in Ambulatory Care . . . . . . . . . . . . . . . . . 65
Diwakar Gupta and Wen-Ya Wang
5 Operating Theatre Planning and Scheduling. . . . . . . . . . . . . . . . 105
Erwin W. Hans and Peter T. Vanberkel
6 Appointment Planning and Scheduling in Outpatient
Procedure Centers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131
Bjorn Berg and Brian T. Denton
7 HumanandArtificialSchedulingSystemforOperatingRooms. . . 155
Pieter Stepaniak and Ronald van der Velden
8 Bed Assignment and Bed Management . . . . . . . . . . . . . . . . . . . . 177
Randolph Hall
9 Queuing Networks in Healthcare Systems. . . . . . . . . . . . . . . . . . 201
Maartje E. Zonderland and Richard J. Boucherie
vii
viii Contents
10 Medical Supply Logistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245
Manuel D. Rossetti, Nebil Buyurgan and Edward Pohl
11 Operations Research Applications in Home Healthcare . . . . . . . . 281
Ashlea Bennett Milburn
12 A Framework for Healthcare Planning and Control . . . . . . . . . . 303
Erwin W. Hans, Mark van Houdenhoven and Peter J. H. Hulshof
About the Authors. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321
Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 329
Contributors
Bjorn Berg Edward P. Fitts Department of Industrial and Systems Engi-
neering, North Carolina State University, Raleigh, NC 27695, USA, e-mail:
[email protected]
Richard J.BoucherieStochasticOperationsResearchandCenterforHealthcare
Operations Improvement and Research, University of Twente, 217, 7500 AE,
Enschede, The Netherlands, e-mail: [email protected]
Nebil Buyurgan Department of Industrial Engineering, University of Arkansas,
Fayetteville, AR 72701, USA, e-mail: [email protected]
Murray J. Cote Department of Health Policy and Management, Texas A&M
Health Science Center, Houston, USA, e-mail: [email protected]
Brian T. Denton Edward P. Fitts Department of Industrial and Systems
Engineering, North Carolina State University, Raleigh, NC 27695, USA,
e-mail: [email protected]
Diwakar Gupta University of Minnesota, 111 Church Street S. E., Minneapolis,
MN 55455, USA, e-mail: [email protected]
Randolph Hall Epstein Department of Industrial and Systems Engineering,
University of Southern California, Los Angeles, CA 900089-0193, USA, e-mail:
[email protected]
Erwin W. Hans Center for Healthcare Operations Improvement and Research,
Department of Operational Methods for Production and Logistics, University of
Twente, Enschede, The Netherlands, e-mail: [email protected]
Markvan Houdenhoven Haga Ziekenhuis, Den Haag, The Netherlands
ix
x Contributors
PeterJ.H.HulshofCenterforHealthcareOperationsImprovementandResearch,
Department of Operational Methods for Production and Logistics, University of
Twente, Enschede, The Netherlands and Reinier de Graaf Groep, Delft, The
Netherlands
Laleh Kardar UniversityofHouston,Houston,USA,e-mail:[email protected]
Gino J. Lim Department of Industrial Engineering, University of Houston, 4800
Calhoun Road, Houston, TX 77204, USA, e-mail: [email protected]
Ashlea Bennett Milburn UniversityofArkansas, Fayetteville, AR 72701, USA,
e-mail: [email protected]
Arezou Mobasher UniversityofHouston,Houston,USA,e-mail:[email protected]
Edward Pohl Department of Industrial Engineering, University of Arkansas,
Fayetteville, AR 72701, USA, e-mail: [email protected]
Manuel D. Rossetti Department of Industrial Engineering, University of
Arkansas, Fayetteville, AR 72701, USA, e-mail: [email protected]
PieterStepaniakEconometricInstituteErasmusUniversityRotterdam,Rotterdam,
TheNetherlands,e-mail:[email protected]
Martin Utley Clinical Operational Research Unit, University College, London,
UK, e-mail: [email protected]
PeterT.VanberkelCenterforHealthcareOperationsImprovementandResearch,
Department of Operational Methods for Production and Logistics, University of
Twente, Enschede, The Netherlands, e-mail: [email protected]
Ronaldvan der Velden Econometric Institute Erasmus University Rotterdam
Rotterdam,TheNetherlands
Wen-Ya Wang University of Minnesota, 111 Church Street S. E., Minneapolis,
MN 55455, USA, e-mail: [email protected]
Dave Worthington Department of Management Science, Lancaster University
Management School, Lancashire, UK, e-mail: [email protected]
Maartje E. Zonderland Division I, Leiden University Medical Center, Postbox
9600, 2300 RC, Leiden, The Netherlands; Stochastic Operations Research and
CenterforHealthcareOperationsImprovementandResearch,UniversityofTwente,
Postbox 217, 7500 AE Enschede, The Netherlands, e-mail: m.e.zonderland@
utwente.nl
Chapter 1
Matching Healthcare Resources
to Patient Needs
Randolph Hall
Abstract Healthcare scheduling entails matching health care resources (provid-
ers,rooms,equipment,supplies,organs,devicesandinstruments)topatientneeds,
when and where they need them. Effective scheduling reduces waste, reduces
patient waiting and improves health outcomes. Scheduling methods rely on
operationsresearchtechniques,includingforecasting,mathematicalmodelingand
optimization,queuemodelsandstochasticprocesses.Thesetechniquesareusedin
many ways, including setting appointments, scheduling staff, planning surgeries
and managing the flow of patients through health care systems.
1.1 Introduction
Mostpeoplehavebeenfrustratedbytheexperienceofwaitingtoseeadoctor.We
havesatincrowdedroomssurroundedbyotherfrustratedpatients;wehavewaited
for appointments that had to be booked months in advance; we have lain on
examinationtablesanticipatingwhenthedoctorwillstepthroughthedoor.And,as
wehavewaited,wehaveundoubtedlywondered:why?Whyisitthatwaitingisso
pervasive when we seek health care, and why is it so much more common than
when we receive other types of service?
Patient delay can be traced in part to economics. Societies believe that quality
healthcareisimportantforallpeople—akintoa‘‘right’’—andthereforefindways
to minimize costs charged to patients, whether through subsidized service,
R.Hall(&)
EpsteinDepartmentofIndustrialandSystemsEngineering,
ViterbiSchoolofEngineering,UniversityofSouthernCalifornia,
McClintockAve.3715,LosAngeles,CA90089-0193,USA
e-mail:[email protected]
R.Hall(ed.),HandbookofHealthcareSystemScheduling, 1
InternationalSeriesinOperationsResearch&ManagementScience168,
DOI:10.1007/978-1-4614-1734-7_1,(cid:2)SpringerScience+BusinessMedia,LLC2012