Health Care Management Science

1998 - 2026

Current editor(s): Yasar Ozcan

From Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

Access Statistics for this journal.
Is something missing from the series or not right? See the RePEc data check for the archive and series.

Volume 29, issue 4, 2026

A distribution-aware optimization model for improving operating room utilization and out-patient flow pp. 1-28

Yi Shen, Bruce W. Rogers and Michael M. Zavlanos

Optimization of the organization of a hemodialysis center pp. 1-18

Marie-Claude Normand, Marie-Laure Raphael Brossard, Guillaume Bollée and Nadia Lahrichi

Paving the way for more accessible cancer care in low-income countries with optimization pp. 1-30

Abel Sapirstein, Lauren N. Steimle and Mathieu Dahan

Modeling framework and reference model for data-driven simulation of patient flows in emergency departments pp. 1-22

Michael Schlecht, Virginie Goepp, Roland De Guio and Jürgen Köbler

Stochastic appointment scheduling with patient-and-time-dependent probability distributions pp. 1-27

Soheyl Khalilpourazari and Hossein Hashemi Doulabi

Network data envelopment analysis in healthcare: A systematic literature review pp. 1-25

Guilherme P. Afonso, José R. Figueira and Diogo C. Ferreira

Counterfactual prescriptions via hierarchical ML for missed chemotherapy appointment prevention pp. 1-20

Mohammadreza Rajabzadeh, Arik Senderovich and Adam Diamant

Prototyping and evaluation of a clinical decision support system in long-term care in German nursing homes pp. 1-19

Maximilian Pilz, Anne Gebert, Matthias Brünett, Laura Steffny, Christina Schubert, Jonas Flechsig and Alexander Scherrer

Volume 29, issue 3, 2026

Improving treatment outcomes in Ghana with agent-based model for diabetes patients’ self-management behaviours pp. 1-23

Eunice Twumwaa Tagoe, Justice Nonvignon, Robert Van Der Meer and Itamar Megiddo

An optimization-embedded simulation approach for quantifying the operational impacts of right-sizing prenatal care pp. 1-23

Leena Ghrayeb, Amy Cohn, Ruiwei Jiang and Alex Peahl

Optimal screening selection rates for post-traumatic stress disorder and the impact of social stigma pp. 1-25

Gian-Gabriel P. Garcia, Navid Ghaffarzadegan and Mohammad S. Jalali

Operating-Room scheduling under uncertainty: balancing elective and emergency surgeries pp. 1-32

Hajar Sadegh Zadeh, Lele Zhang, Mark Fackrell and Hamideh Anjomshoa

Reach: Recognising episodes of acute complexity in health: a predictive older patient prioritisation machine learning model pp. 1-22

Abtin Ijadi Maghsoodi, Valery Pavlov, Paul Rouse, Cameron Graham Walker and Matthew Parsons

Strategic management of vaccine distribution during pandemics under uncertainty pp. 1-33

Mahsa Mohammadi, Mohsen Roytvand Ghiasvand, Donya Rahmani and Babak Mohamadpour Tosarkani

Efficient engagement: opportunities for mobile methadone maintenance in geographically underserved areas pp. 1-13

Anthony Bonifonte, Erin Garcia, Sean Soth and Hang Ngo

Electric ambulances: will the need for charging affect response times? pp. 1-26

Nanne A. Dieleman and Caroline J. Jagtenberg

Optimizing vaccine site locations while considering travel inconvenience and public health outcomes pp. 1-21

Suyanpeng Zhang, Sze-Chuan Suen, Han Yu, Maged Dessouky and Fernando Ordonez

Cluster analysis to identify targeted interventions for highly multimorbid patients in a one-million population in England pp. 1-21

Richard M. Wood, Peter M. Thomson and Sam T. Creavin

Cross-training of nurses during a global pandemic: a two-stage stochastic programming approach pp. 1-15

Hendrik Winzer and Jens Bengtsson

Predicting asthma-related hospitalizations in underserved and rural populations in Algeria pp. 1-15

Amin Bouamar, Ghalem Belalem, Boumedyen Belaid, Dalila Benatta and Abdelmadjid Snouber

An online algorithm for integrated scheduling of pre-treatment and treatment appointments in radiotherapy using deep reinforcement learning pp. 1-27

Maxim Frankish and Broos Maenhout

Data-driven smart freight fleet management amid epidemic disruptions: A framework and case study pp. 1-24

Carlos D. Paternina-Arboleda, Diana G. Ramirez-Rios, Karenina N. Zaballa and Jairo R. Montoya-Torres

Improving hard-to-place kidney allocation: A machine learning approach to center ranking pp. 1-29

Sean Berry, Berk Görgülü, Sait Tunç, Mucahit Cevik and Matthew J. Ellis

Optimal hospital capacity management during demand surges pp. 1-28

Felix Parker, Fardin Ganjkhanloo, Diego A. Martínez and Kimia Ghobadi

Towards optimal valve prescription for transcatheter aortic valve replacement (TAVR) surgery: a machine learning approach pp. 1-28

Phevos Paschalidis, Vasiliki Stoumpou, Lisa Everest, Yu Ma, Talhat Azemi, Jawad Haider, Steven Zweibel, Eleftherios M. Protopapas, Jeff Mather, Maciej Tysarowski, George E. Sarris, Robert C. Hagberg, Howard L. Haronian and Dimitris Bertsimas

Volume 29, issue 2, 2026

Toward generalizable and interpretable machine learning models in healthcare: Insights from ICU outcome predictions pp. 1-36

Lasse Bohlen, Julian Rosenberger, Nico Hambauer, Daniel Zähringer, Volkmar Franz, Patrick Zschech and Mathias Kraus

How much is adequate staffing for a nursing home? Forecasting daily service need of its case mix pp. 1-24

Shujin Jiang, Mingyang Li and Nan Kong

A novel multi-criteria doctor ranking method considering patient risk attitudes and compensatory relationships pp. 1-24

Xihua Li, Fengyu Zhang and Jiayi Chen

Data-driven identification of outpatient-suitable procedures: a machine learning approach pp. 1-29

Robert Messerle and Jonas Schreyögg

A stochastic programming approach for dynamic allocation of bed capacity and assignment of patients to collaborating hospitals during pandemic outbreaks pp. 1-27

Stef Baas, Sander Dijkstra, Richard J. Boucherie and Anne Zander

An upper bound to the benefits of implementing positive assortative matching in pooled testing pp. 1-27

Gustavo Quinderé Saraiva

Ahead of the ambulance: Optimizing volunteer training pp. 1-15

Brian Overbeek, Pieter L. van den Berg, Caroline J. Jagtenberg and Rob van der Mei

Learning to dispatch volunteers to out-of-hospital cardiac arrests pp. 1-26

Pieter L. van den Berg, Océane Fourmentraux, Shane G. Henderson, Caroline J. Jagtenberg and Hemeng Li

Optimization of diagnostic kits usage based on symptomatic presentation: an application of military decision making in public health pp. 1-13

Fumihiko Nakamura, Naoshi Tsuchida, Kazunori Matsuda, Takafumi Saikawa and Takashi Okumura

Bi-objective location-allocation model of interventions in high drug consumption areas incorporating X topic modeling pp. 1-18

Kevin Palomino, Carmen Berdugo, Jorge Acuña and José L. Zayas-Castro

An integrated deep learning framework for effective management of surgical instruments tables based on videos pp. 1-17

Yong Ma, Tao Tao, Xuying Ma, Haoxin Li, Zhitao Cheng, Maoji Kang, Yan Zhuang, Linru Zhou, Fan Li, Song Su, Jiali Wu and Yong Tang

Urgent samples in clinical laboratories: stochastic batching to minimize patient turnaround time pp. 1-25

Antonin Novak, Andrzej Gnatowski and Premysl Sucha

Dynamic outpatient sequencing on single examination equipment considering late arrivals pp. 1-23

Jiamou Su, Huili Guo, Junpeng Wang, Lihui Zeng, Yang Wang and Li Luo

Volume 29, issue 1, 2026

Identifying the most influential employees in infectious disease spread using stochastic mixed integer linear programming optimization pp. 1-20

Mohadese Basirati, Saeed Najafi-Zangeneh and Mireille Batton-Hubert

Impact of collaboration network on care costs: an integrated healthcare analysis pp. 1-15

Ji Wu, Jianna Wang, Doris Chenguang Wu and Xian Cheng

Strategic analysis of heterogeneous fleet composition for aerial interhospital transport in underserved areas of Canada pp. 1-27

Joelle Cormier, Valérie Bélanger and Marie-Éve Rancourt

Hospital service focus vs. breadth: Impact on hospital outcomes and the moderating role of hospital size pp. 1-13

Matthew J. Castel and Timothy C. Dunne

Enhancing pandemic surveillance and testing: a simulation modeling study utilizing german multicenter data with federated machine learning pp. 1-26

Stefan Kempter, Jens O. Brunner, Frank Hanses, Christoph Spinner, Lutz T. Zabel, Christoph Römmele, Stefan Borgmann, Jörg Janne Vehreschild and Christina C. Bartenschlager

Enhancing laboratory testing capacity: strategies for pandemic preparedness pp. 1-21

Erica Gralla, Nadia Lahrichi, Fannie Côté, Jade El Hage, Arunkumar Govindakarnavar and Victor J del Rio Vilas

Healthcare applications of 0-1 neural networks in prescriptive problems with observational data pp. 1-44

Vrishabh Patil, Kara K. Hoppe and Yonatan Mintz

Did COVID-19 worsen the disparities among mental health patients at risk of exhibiting aggression in Ontario, Canada? pp. 1-23

Somayeh Ghazalbash and Vedat Verter

Interpretable machine learning for personalized breast cancer screening recommendations pp. 1-23

Sean Berry, Berk Görgülü, Sait Tunc and Mucahit Cevik

Optimization of tray inventory levels in hospitals from an integral perspective pp. 1-16

Hayo Bos, Gaspard Hosteins, Wick Wijnholds, Aleida Braaksma and Gréanne Leeftink

A survey on optimization and machine learning-based fair decision making in healthcare pp. 1-18

Zequn Chen and Wesley J. Marrero

The predictive factors of US hospital bankruptcy - a multi-model comparison pp. 1-22

Brad Beauvais, Zo Ramamonjiarivelo, C. Scott Kruse, Lawrence Fulton, Ramalingam Shanmugam, Arvind Sharma and Aleksandar Tomic