Health Care Management Science

1998 - 2024

Current editor(s): Yasar Ozcan

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Volume 27, issue 4, 2024

A study of “left against medical advice” emergency department patients: an optimized explainable artificial intelligence framework pp. 485-502

Abdulaziz Ahmed, Khalid Y. Aram, Salih Tutun and Dursun Delen

Strategic placement of volunteer responder system defibrillators pp. 503-524

Robin Buter, Arthur Nazarian, Hendrik Koffijberg, Erwin W. Hans, Remy Stieglis, Rudolph W. Koster and Derya Demirtas

The benefits (or detriments) of adapting to demand disruptions in a hospital pharmacy with supply chain disruptions pp. 525-554

Lauren L Czerniak, Mariel S Lavieri, Mark S Daskin, Eunshin Byon, Karl Renius, Burgunda V Sweet, Jennifer Leja and Matthew A Tupps

A novel two-stage network data envelopment analysis model for kidney allocation problem under medical and logistical uncertainty: a real case study pp. 555-579

Farhad Hamidzadeh, Mir Saman Pishvaee and Naeme Zarrinpoor

Optimization of testing protocols to screen for COVID-19: a multi-objective model pp. 580-603

Hadi Moheb-Alizadeh, Donald P. Warsing, Richard E. Kouri, Sajjad Taghiyeh and Robert B. Handfield

Forecasting to support EMS tactical planning: what is important and what is not pp. 604-630

Mostafa Rezaei and Armann Ingolfsson

Evaluating machine learning model bias and racial disparities in non-small cell lung cancer using SEER registry data pp. 631-649

Cameron Trentz, Jacklyn Engelbart, Jason Semprini, Amanda Kahl, Eric Anyimadu, John Buatti, Thomas Casavant, Mary Charlton and Guadalupe Canahuate

A reinforcement learning approach for the online dynamic home health care scheduling problem pp. 650-664

Quy Ta-Dinh, Tu-San Pham, Minh Hoàng Hà and Louis-Martin Rousseau

Health care management science for underserved populations pp. 665-667

Itamar Megiddo, Sarang Deo, Alec Morton and Sheetal Silal

Volume 27, issue 3, 2024

A novel approach to forecast surgery durations using machine learning techniques pp. 313-327

Marco Caserta and Antonio Garcia Romero

Leveraging the potential of the German operating room benchmarking initiative for planning: A ready-to-use surgical process data set pp. 328-351

Grigory Korzhenevich and Anne Zander

Multi-resource allocation and care sequence assignment in patient management: a stochastic programming approach pp. 352-369

Xinyu Yao, Karmel S. Shehadeh and Rema Padman

Dissatisfaction-considered waiting time prediction for outpatients with interpretable machine learning pp. 370-390

Jongkyung Shin, Donggi Augustine Lee, Juram Kim, Chiehyeon Lim and Byung-Kwan Choi

Examining chronic kidney disease screening frequency among diabetics: a POMDP approach pp. 391-414

Chou-Chun Wu, Yiwen Cao, Sze-chuan Suen and Eugene Lin

Managing low–acuity patients in an Emergency Department through simulation–based multiobjective optimization using a neural network metamodel pp. 415-435

Marco Boresta, Tommaso Giovannelli and Massimo Roma

Enhancing affordability and profit in a non-cooperative, coordinated, hypothetical pediatric vaccine market via sequential optimization pp. 436-457

Bruno Alves-Maciel and Ruben A. Proano

A systematic literature review of predicting patient discharges using statistical methods and machine learning pp. 458-478

Mahsa Pahlevani, Majid Taghavi and Peter Vanberkel

Editorial: management science for pandemic prevention, preparedness, and response pp. 479-482

Hrayer Aprahamian, Vedat Verter and Manaf Zargoush

Health care management science - best paper of 2023 pp. 483-483

Greg Zaric

Volume 27, issue 2, 2024

Meritorious service awards − 2023 pp. 135-135

Greg Zaric

A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis pp. 136-167

Sandra Zilker, Sven Weinzierl, Mathias Kraus, Patrick Zschech and Martin Matzner

Integrated procurement and reprocessing planning for reusable medical devices with a limited shelf life pp. 168-187

Steffen Rickers and Florian Sahling

Visibility-based layout of a hospital unit – An optimization approach pp. 188-207

Uttam Karki and Pratik J. Parikh

Real-time management of intra-hospital patient transport requests pp. 208-222

Vinicius M. Ton, Nathália C. O. da Silva, Angel Ruiz, José E. Pécora, Cassius T. Scarpin and Valérie Bélenger

An optimization framework for large-scale screening under limited testing capacity with application to COVID-19 pp. 223-238

Jiayi Lin, Hrayer Aprahamian and George Golovko

The potential of patient-based nurse staffing – a queuing theory application in the neonatal intensive care setting pp. 239-253

Sandra Sülz, Andreas Fügener, Michael Becker-Peth and Bernhard Roth

Optimization of the stroke hospital selection strategy and the distribution of endovascular thrombectomy resources pp. 254-267

Chun-Han Wang, Yu-Ching Lee and Ming-Ju Hsieh

Do adjustment costs constrain public healthcare providers’ technical efficiency? Evidence from the New Zealand Public Healthcare System pp. 268-283

Antony Andrews and Grigorios Emvalomatis

Applications of data envelopment analysis in acute care hospitals: a systematic literature review, 1984–2022 pp. 284-312

Dinesh R. Pai, Fatma Pakdil and Nasibeh Azadeh-Fard

Volume 27, issue 1, 2024

Accessible location of mobile labs for COVID-19 testing pp. 1-19

Dianne Villicaña-Cervantes and Omar J. Ibarra-Rojas

Heterogeneous donor circles for fair liver transplant allocation pp. 20-45

Shubham Akshat, Sommer E. Gentry and S. Raghavan

Scheduling mobile dental clinics: A heuristic approach considering fairness among school districts pp. 46-71

Ignacio A. Sepúlveda, Maichel M. Aguayo, Rodrigo De la Fuente, Guillermo Latorre-Núñez, Carlos Obreque and Camila Vásquez Orrego

The policy case for designating EMS teams for vulnerable patient populations: Evidence from an intervention in Boston pp. 72-87

Mark Brennan, Sophia Dyer, Jonas Jonasson, James Salvia, Laura Segal, Erin Serino and Justin Steil

Efficiency effects of public hospital closures in the context of public hospital reform: a multistep efficiency analysis pp. 88-113

Songul Cinaroglu

Prediction of hospitalization and waiting time within 24 hours of emergency department patients with unstructured text data pp. 114-129

Hyeram Seo, Imjin Ahn, Hansle Gwon, Hee Jun Kang, Yunha Kim, Ha Na Cho, Heejung Choi, Minkyoung Kim, Jiye Han, Gaeun Kee, Seohyun Park, Dong-Woo Seo, Tae Joon Jun and Young-Hak Kim

Correction to: Prediction of hospitalization and waiting time within 24 h of emergency department patients with unstructured text data pp. 130-130

Hyeram Seo, Imjin Ahn, Hansle Gwon, Hee Jun Kang, Yunha Kim, Ha Na Cho, Heejung Choi, Minkyoung Kim, Jiye Han, Gaeun Kee, Seohyun Park, Dong-Woo Seo, Tae Joon Jun and Young-Hak Kim

Volume 26, issue 4, 2023

Responding to the US opioid crisis: leveraging analytics to support decision making pp. 599-603

Margaret L. Brandeau

Leveraging the E-commerce footprint for the surveillance of healthcare utilization pp. 604-625

Manuel Hermosilla, Jian Ni, Haizhong Wang and Jin Zhang

Classification of patients with chronic disease by activation level using machine learning methods pp. 626-650

Onur Demiray, Evrim D. Gunes, Ercan Kulak, Emrah Dogan, Seyma Gorcin Karaketir, Serap Cifcili, Mehmet Akman and Sibel Sakarya

Pool testing with dilution effects and heterogeneous priors pp. 651-672

Gustavo Quinderé Saraiva

Managing a multi-panel clinic with heterogeneous patients pp. 673-691

Hao-Wei Chen

Surgical scheduling via optimization and machine learning with long-tailed data pp. 692-718

Yuan Shi, Saied Mahdian, Jose Blanchet, Peter Glynn, Andrew Y. Shin and David Scheinker

Select, route and schedule: optimizing community paramedicine service delivery with mandatory visits and patient prioritization pp. 719-746

Shima Azizi, Özge Aygül, Brenton Faber, Sharon Johnson, Renata Konrad and Andrew C. Trapp

Correction to: Select, route and schedule: optimizing community paramedicine service delivery with mandatory visits and patient prioritization pp. 747-747

Shima Azizi, Özge Aygül, Brenton Faber, Sharon Johnson, Renata Konrad and Andrew C. Trapp

Determining optimal COVID-19 testing center locations and capacities pp. 748-769

Esma Akgun, Sibel A. Alumur and F. Safa Erenay

The assignment-dial-a-ride-problem pp. 770-784

Chane-Haï Timothée, Vercraene Samuel and Monteiro Thibaud

Combining machine learning and optimization for the operational patient-bed assignment problem pp. 785-806

Fabian Schäfer, Manuel Walther, Dominik G. Grimm and Alexander Hübner

Patient-to-nurse ratios: Balancing quality, nurse turnover, and cost pp. 807-826

David D. Cho, Kurt M. Bretthauer and Jan Schoenfelder

Volume 26, issue 3, 2023

Predicting drug shortages using pharmacy data and machine learning pp. 395-411

Raman Pall, Yvan Gauthier, Sofia Auer and Walid Mowaswes

Covid-19 triage in the emergency department 2.0: how analytics and AI transform a human-made algorithm for the prediction of clinical pathways pp. 412-429

Christina C. Bartenschlager, Milena Grieger, Johanna Erber, Tobias Neidel, Stefan Borgmann, Jörg J. Vehreschild, Markus Steinbrecher, Siegbert Rieg, Melanie Stecher, Christine Dhillon, Maria M. Ruethrich, Carolin E. M. Jakob, Martin Hower, Axel R. Heller, Maria Vehreschild, Christoph Wyen, Helmut Messmann, Christiane Piepel, Jens O. Brunner, Frank Hanses and Christoph Römmele

A reinforcement learning-based optimal control approach for managing an elective surgery backlog after pandemic disruption pp. 430-446

Huyang Xu, Yuanchen Fang, Chun-An Chou, Nasser Fard and Li Luo

Performance analysis of English hospitals during the first and second waves of the coronavirus pandemic pp. 447-460

Timo Kuosmanen, Yong Tan and Sheng Dai

Process mining to discover patterns in patient outcomes in a Psychological Therapies Service pp. 461-476

C. Potts, R. R. Bond, J-A. Jordan, M. D. Mulvenna, K. Dyer, A. Moorhead and A. Elliott

Forecasting ward-level bed requirements to aid pandemic resource planning: Lessons learned and future directions pp. 477-500

Michael R. Johnson, Hiten Naik, Wei Siang Chan, Jesse Greiner, Matt Michaleski, Dong Liu, Bruno Silvestre and Ian P. McCarthy

Evaluation and implementation of a Just-In-Time bed-assignment strategy to reduce wait times for surgical inpatients pp. 501-515

Aleida Braaksma, Martin S. Copenhaver, Ana C. Zenteno, Elizabeth Ugarph, Retsef Levi, Bethany J. Daily, Benjamin Orcutt, Kathryn M. Turcotte and Peter F. Dunn

Health information exchange network under collaboration, cooperation, and competition: A game-theoretic approach pp. 516-532

Rawan Shabbar and Hiroki Sayama

Managing surgical waiting lists through dynamic priority scoring pp. 533-557

Jack Powers, James M. McGree, David Grieve, Ratna Aseervatham, Suzanne Ryan and Paul Corry

Optimization models for patient and technician scheduling in hemodialysis centers pp. 558-582

Farbod Farhadi, Sina Ansari and Francisco Jara-Moroni

Intraday dynamic rescheduling under patient no-shows pp. 583-598

Aditya Shetty, Harry Groenevelt and Vera Tilson

Volume 26, issue 2, 2023

Who should see the patient? on deviations from preferred patient-provider assignments in hospitals pp. 165-199

Mariam K. Atkinson and Soroush Saghafian

A queuing model for ventilator capacity management during the COVID-19 pandemic pp. 200-216

Samantha L. Zimmerman, Alexander R. Rutherford, Alexa Waall, Monica Norena and Peter Dodek

Assessing the impact of COVID-19 on the performance of organ transplant services using data envelopment analysis pp. 217-237

Márcia N. F. Manoel, Sérgio Santos and Carla A. F. Amado

A two-stage stochastic optimization framework to allocate operating room capacity in publicly-funded hospitals under uncertainty pp. 238-260

Morteza Lalmazloumian, M. Fazle Baki and Majid Ahmadi

Operating room design using agent-based simulation to reduce room obstructions pp. 261-278

Kevin Taaffe, Yann B. Ferrand, Amin Khoshkenar, Lawrence Fredendall, Dee San, Patrick Rosopa and Anjali Joseph

Machine learning for optimal test admission in the presence of resource constraints pp. 279-300

Ramy Elitzur, Dmitry Krass and Eyal Zimlichman

Generating simple classification rules to predict local surges in COVID-19 hospitalizations pp. 301-312

Reza Yaesoubi, Shiying You, Qin Xi, Nicolas A. Menzies, Ashleigh Tuite, Yonatan H. Grad and Joshua A. Salomon

Predicting no-show appointments in a pediatric hospital in Chile using machine learning pp. 313-329

J. Dunstan, F. Villena, J.P. Hoyos, V. Riquelme, M. Royer, H. Ramírez and J. Peypouquet

Performance measurement of nonhomogeneous Hong Kong hospitals using directional distance functions pp. 330-343

Shuguang Lin, Paul Rouse, Ying-Ming Wang, Lin Lin and Zhen-Quan Zheng

Priority-based replenishment policy for robotic dispensing in central fill pharmacy systems: a simulation-based study pp. 344-362

Nieqing Cao, Austin Marcus, Lubna Altarawneh and Soongeol Kwon

A two-stage partial fixing approach for solving the residency block scheduling problem pp. 363-393

Junhong Guo, William Pozehl and Amy Cohn

Volume 26, issue 1, 2023

Screening for preclinical Alzheimer’s disease: Deriving optimal policies using a partially observable Markov model pp. 1-20

Zehra Önen Dumlu, Serpil Sayın and İbrahim Hakan Gürvit

Nurse rostering with fatigue modelling pp. 21-45

Kjartan Kastet Klyve, Ilankaikone Senthooran and Mark Wallace

Effectiveness of feedback control and the trade-off between death by COVID-19 and costs of countermeasures pp. 46-61

Akira Watanabe and Hiroyuki Matsuda

On integrating patient appointment grids and technologist schedules in a radiology center pp. 62-78

Dina Bentayeb, Nadia Lahrichi and Louis-Martin Rousseau

Tracking Covid-19 cases and deaths in the United States: metrics of pandemic progression derived from a queueing framework pp. 79-92

Randolph Hall, Andrew Moore and Mingdong Lyu

Monitoring policy in the context of preventive treatment of cardiovascular disease pp. 93-116

Daniel F. Otero-Leon, Mariel S. Lavieri, Brian T. Denton, Jeremy Sussman and Rodney A. Hayward

Online scheduling using a fixed template: the case of outpatient chemotherapy drug administration pp. 117-137

Alireza F. Hesaraki, Nico P. Dellaert and Ton Kok

A mixed-integer slacks-based measure data envelopment analysis for efficiency measuring of German university hospitals pp. 138-160

Mansour Zarrin