About this journal
Aims and scope
IISE Transactions on Healthcare Systems Engineering aims to foster the healthcare systems community by publishing high quality papers that have a strong methodological focus and direct applicability to healthcare systems.
Published quarterly, the journal supports research that explores:
· Healthcare Operations Management
· Medical Decision Making
· Socio-Technical Systems Analysis related to healthcare
· Quality Engineering
· Healthcare Informatics
· Healthcare Policy
We are looking forward to accepting submissions that document the development and use of industrial and systems engineering tools and techniques including:
· Healthcare operations research
· Healthcare statistics
· Healthcare information systems
· Healthcare work measurement
· Human factors/ergonomics applied to healthcare systems
Research that explores the integration of these tools and techniques with those from other engineering and medical disciplines are also featured.
We encourage the submission of clinical notes, or practice notes, to show the impact of contributions that will be published. We also encourage authors to collect an impact statement from their clinical partners to show the impact of research in the clinical practices.
Our peer review process is operated by independent, anonymous expert referees, Visit our Instructions for Authors page for information on preparing your manuscript.
Author benefits
IISE Transactions on Healthcare Systems Engineering is an official journal of the Institute of Industrial and Systems Engineers meaning your research will be available to all their members.
The prestigious and experienced members of our international Editorial Board will guide you from submission to publication
Our Author Services page provides you with tips and tricks to promote your research on social media and through your network. This includes 50 free e-prints to share with anyone you wish.
Quickly and easily track the impact your paper makes with the help of Authored Works.
Publication office: Taylor & Francis, Inc., 530 Walnut Street, Suite 850, Philadelphia, PA 19106
Journal metrics
Usage
- 22K annual downloads/views
Citation metrics
- 3.1 (2023) CiteScore (Scopus)
- Q2 CiteScore Best Quartile
- 0.804 (2023) SNIP
- 0.433 (2023) SJR
Speed/acceptance
- 0 days avg. from submission to first decision
- 105 days avg. from submission to first post-review decision
- 35% acceptance rate
Understanding and using journal metrics
Journal metrics can be a useful tool for readers, as well as for authors who are deciding where to submit their next manuscript for publication. However, any one metric only tells a part of the story of a journal’s quality and impact. Each metric has its limitations which means that it should never be considered in isolation, and metrics should be used to support and not replace qualitative review.
We strongly recommend that you always use a number of metrics, alongside other qualitative factors such as a journal’s aims & scope, its readership, and a review of past content published in the journal. In addition, a single article should always be assessed on its own merits and never based on the metrics of the journal it was published in.
For more details, please read the Author Services guide to understanding journal metrics.
Journal metrics in brief
Usage and acceptance rate data above are for the last full calendar year and are updated annually in February. Speed data is updated every six months, based on the prior six months. Citation metrics are updated annually mid-year. Please note that some journals do not display all of the following metrics (find out why).
- Usage: the total number of times articles in the journal were viewed by users of Taylor & Francis Online in the previous calendar year, rounded to the nearest thousand.
Citation Metrics
- Impact Factor*: the average number of citations received by articles published in the journal within a two-year window. Only journals in the Clarivate Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), Arts and Humanities Citation Index (AHCI) and the Emerging Sources Citation Index (ESCI) have an Impact Factor.
- Impact Factor Best Quartile*: the journal’s highest subject category ranking in the Journal Citation Reports. Q1 = 25% of journals with the highest Impact Factors.
- 5 Year Impact Factor*: the average number of citations received by articles in the journal within a five-year window.
- CiteScore (Scopus)†: the average number of citations received by articles in the journal over a four-year period.
- CiteScore Best Quartile†: the journal’s highest CiteScore ranking in a Scopus subject category. Q1 = 25% of journals with the highest CiteScores.
- SNIP (Source Normalized Impact per Paper): the number of citations per paper in the journal, divided by citation potential in the field.
- SJR (Scimago Journal Rank): Average number of (weighted) citations in one year, divided by the number of articles published in the journal in the previous three years.
Speed/acceptance
- From submission to first decision: the average (median) number of days for a manuscript submitted to the journal to receive a first decision. Based on manuscripts receiving a first decision in the last six months.
- From submission to first post-review decision: the average (median) number of days for a manuscript submitted to the journal to receive a first decision if it is sent out for peer review. Based on manuscripts receiving a post-review first decision in the last six months.
- From acceptance to online publication: the average (median) number of days from acceptance of a manuscript to online publication of the Version of Record. Based on articles published in the last six months.
- Acceptance rate: articles accepted for publication by the journal in the previous calendar year as percentage of all papers receiving a final decision.
For more details on the data above, please read the Author Services guide to understanding journal metrics.
*Copyright: Journal Citation Reports®, Clarivate Analytics
†Copyright: CiteScore™, Scopus
Editorial board
EDITOR -IN-CHIEF
Prof. Hui Yang
IISE Fellow
Professor, Penn State University
University Park, PA, USA
Email: [email protected]
Biography: Dr. Hui Yang is a Professor of Industrial Engineering, Biomedical Engineering at Penn State, and is affiliated with Penn State Cancer Institute (PSCI), Clinical and Translational Science Institute (CTSI), Institute for Computational and Data Sciences (ICDS), CIMP-3D. He was the president (2017-2018) of IISE Data Analytics and Information Systems Society, the chair (2015-2016) of INFORMS Quality, Statistics and Reliability (QSR) section, and the program chair of 2016 IISE Annual Conference.
His research focuses on sensor-based monitoring, modeling, and control of complex systems, as well as smart manufacturing and healthcare applications. His research program is supported by National Science Foundation (including the prestigious NSF CAREER award), National Institute of Health (NIH), National Institute of Standards and Technology (NIST), MxD, Fulbright Foundation, industry companies, and private foundations. His research group received several best paper awards and best poster awards from IISE, IEEE, and INFORMS conferences. He is a professional member of IEEE, IEEE EMBS, INFORMS, IISE, ASEE, ASME, SME, AAAS and American Heart Association (AHA).
HEALTHCARE OPERATIONS MANAGEMENT
Esma S. Gel, PhD - Cynthia Hardin Milligan Chair and Professor, University of Nebraska–Lincoln, USA
SOCIO-TECHNICAL SYSTEMS ANALYSIS
Douglas A. Wiegmann, PhD – Associate Professor, University of Wisconsin-Madison, Madison, WI, USA
HEALTHCARE INFORMATICS
MEDICAL DECISION MAKING
Maria Mayorga, PhD – Goodnight Distinguished Chair and Professor, NC State University, Raleigh, NC, USA
HEALTHCARE PUBLIC POLICY
Paul Griffin, PhD – Professor, Penn State University, State College, PA, USA
ASSOCIATE EDITORS
Adel Alaeddini, PhD - Associate Professor, University of Texas at San Antonio, USA
Dionne Aleman, PhD - Associate Professor, University of Toronto, Canada
Ozgur Araz, PhD - Professor, University of Nebraska-Lincoln, USA
Hari Balasubramaninan, PhD - Associate Professor, University of Massachusetts Amherst, Amherst, MA, USA
Amarnath Banerjee, PhD - Professor, Texas A&M University, USA
Ellen Bass, PhD - Professor, Drexel University, USA
Tommaso Bellandi, PhD - Director, Tuscany Region Department of Health, Italy
Bjorn Berg, PhD - Assistant Professor, University of Minnesota, USA
Jens O. Brunner, PhD - Professor, University of Augsburg, Germany
Zeng Bo - Professor, University of Pittsburgh, USA
Michael W. Carter, PhD - Professor, University of Toronto, Canada
Changqing Cheng, PhD, Assistant Professor, State University of New York at Binghamton , USA
Tapas Das, PhD - Professor, University of South Florida, USA
Fatih Safa Erenay, PhD - Associate Professor, University of Waterloo, Canada
Chaitra Gopalappa, PhD - Associate Professor, University of Massachusetts-Amherst, USA
Mohan Gopalakrishnan, PhD - Associate Professor, Arizona State University, USA
Chun-Che Huang, PhD - Professor, National Chi Nan University, Taiwan
Shuai Huang, PhD - Associate Professor, University of Washington, USA
Julie S. Ivy, PhD - Professor, North Carolina State University, USA
Feng Ju, PhD - Associate Professor, Arizona State University, USA
Nan Kong, PhD - Professor, Purdue University, USA
Jing Li, PhD - Professor, Georgia Tech, USA
Lisa Maillart, PhD - Professor, University of Pittsburgh, USA
Diego A. Martínez, PhD - Assistant Professor, Pontificia Universidad Católica de Valparaíso, Chile
Anthony McDonald, PhD - Assistant Professor, Texas A&M University, USA
Douglas J. Morrice, PhD - Professor, The University of Texas at Austin, USA
Lewis Ntaimo, PhD - Professor, Texas A&M University, USA
Kalyan Pasupathy, PhD - Associate Professor, Mayo Clinic, USA
Priyadarshini Pennathur, PhD - Associate Professor, University of Iowa, USA
Bing Si, PhD, Assistant Professor, State University of New York (SUNY) at Binghamton, USA
Julie Swann, PhD - Professor, North Carolina State University, USA
Ata Taleizadeh, PhD - Associate Professor, University of Tehran, Iran
Murat Testik, PhD - Professor, Hacettepe University, Turkey
Geb Thomas, PhD - Professor, University of Iowa, USA
Jeff Weir, PhD - Professor, Air Force Institute of Technology, USA
Nicole Werner, PhD- Associate Professor - University of Wisconsin-Madison, USA
Xiaolei Xie, PhD - Associate Professor, Tsinghua University, China
Hsin-Hung Wu, PhD - Professor, National Changhua University, Taiwan
Shengfan Zhang, PhD - Associate Professor, University of Arkansas, USA
Zhi-Hai Zhang, PhD - Associate Professor, Tsinghua University, China
Xiang Zhong, PhD, Assistant Professor, University of Florida, USA
Jonas Jonasson, PhD, Assistant Professor, Massachusetts Institute of Technology, USA
Dr. Oguzhan Alagoz
Procter & Gamble Bascom Professor
University of Wisconsin-Madison
Biography:Oguzhan Alagoz is Proctor & Gamble Bascom Professor of Industrial and Systems Engineering and Population Health Sciences at the University of Wisconsin-Madison. His research interests include stochastic optimization, medical decision making, completely and partially observable Markov decision processes, simulation, risk-prediction modeling and health technology assessment. He served as a member of ISPOR-SMDM Modeling Good Research Practices Task Force which developed recommendations for good modeling practices in state-transition modeling for the evaluation of health care decisions in 2012. He is also co-leading the University of Wisconsin Breast Cancer Simulation Model, a member of the National Cancer Institute’s Cancer Intervention and Surveillance Modeling Network, that was used to inform national breast cancer screening guidelines in the US in 2016 and 2023. He is currently serving as an associate editor for Operations Research. He previously served as the editor-in-chief of IISE Transactions on Healthcare Systems Engineering and on the editorial board of Medical Decision Making and IISE Transactions. He is an elected fellow of IISE. Furthermore, he has received various awards including a CAREER award from National Science Foundation (NSF), outstanding young industrial engineer in education award from IISE, Dantzig Dissertation Honorable Mention Award from INFORMS, 2nd place award from INFORMS Junior Faculty Interest Group best paper competition, best paper award from INFORMS Service Science Section, best podium presentation award from ISPOR, and best poster award from UW Carbone Comprehensive Cancer Center. He has been the principal investigator and co-investigator on grants approximately $7 million funded by NSF and NIH.
Dr. John FowlerMotorola Professor
Arizona State University
Biography:John Fowler is the Motorola Professor of International Management in the W.P. Carey School of Business at Arizona State University. He served as the department chair of supply chain management from 2011-2016. Prior to that he was the Avnet Professor of Industrial Engineering at ASU. His research interests include discrete event simulation, deterministic scheduling, and multi-criteria decision making applied to manufacturing and service systems. He has published more than 140 journal articles and more than 100 conference papers.
Professor Fowler was the founding editor-in-chief for IIE Transactions on Healthcare Systems Engineering. He continues to be the department editor for Healthcare Operations Management at the journal. He is an editor of the Journal of Simulation and associate editor of IEEE Transactions on Semiconductor Manufacturing. He is a fellow of the Institute of Industrial and Systems Engineers (IISE) and Institute for Operations Research and the Management Sciences (INFORMS). He served as IISE Vice President for Continuing Education, as INFORMS Vice President for Chapters/Fora, and served on the Winter Simulation Conference board of directors from 2005-2017 and 2021-Present. He was the program chair for the 2002 and 2008 Industrial Engineering Research Conferences, the 2008 Winter Simulation Conference and co-program chair for the 2012 INFORMS National Meeting
Dr. Teresa WuFulton Professor
Arizona State Univeristy
Biography:Teresa Wu is a Fulton Professor of Industrial Engineering Program at School of Computing and Augmented Intelligence of Arizona State University. She is National Science Foundation (NSF) CAREER award winner (2003), IISE Fellow (class of 2020).
She is a professor of radiology (affiliate appointment) at College of Medicine, Mayo Clinic and the founding co-director of ASU-Mayo Center for Innovative Imaging (AMCII). Her research interests include health informatics, swarm intelligent algorithms for distributed decisions. Her research has been funded by >50 grants from National Science Foundation, National Institute of Health (NIDDK,NINDS, NIA, NICDH), American Heart Association, Department of Defense, Department of Education, Mayo Clinic Foundation. She has published more than 150 journal articles.
Abstracting and indexing
IISE Transactions on Healthcare Systems Engineering is abstracted/indexed in:
- Embase
- Emerging Sources Citation Index (ESCI)
- Scopus
Open access
IISE Transactions on Healthcare Systems Engineering is a hybrid open access journal that is part of our Open Select publishing program, giving you the option to publish open access. Publishing open access means that your article will be free to access online immediately on publication, increasing the visibility, readership, and impact of your research.
Why choose open access?
- Increase the discoverability and readership of your article
- Make an impact and reach new readers, not just those with easy access to a research library
- Freely share your work with anyone, anywhere
- Comply with funding mandates and meet the requirements of your institution, employer or funder
- Rigorous peer review for every open access article
Article Publishing Charges (APC)
If you choose to publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis.
Use our APC finder to calculate your article publishing charge
Society information
The Institute of Industrial and Systems Engineers (IISE) is the world's largest professional society dedicated solely to the support of the profession. IISE is an international, non-profit association that provides leadership for the application, education, training, research, and development of industrial and systems engineering.
Members of IISE receive free access to each of the society’s subscription-based journals.
The institution publishes four journals:
IISE Transactions on Occupational Ergonomics and Human Factors
IISE Transactions on Healthcare Systems Engineering
For submission information for IISE Transaction on Healthcare Systems Engineering, read the Instructions for Authors.
To register as a peer reviewer for visit the above journals’ submission site to create an account. For reviewer training opportunities, discover our Peer Reviewer Training Network.
4 issues per year
Currently known as:
- IISE Transactions on Healthcare Systems Engineering (2017 - current)
Formerly known as
- IIE Transactions on Healthcare Systems Engineering (2011 - 2016)
Special Issue on Digital Health; Volume 13, Issue 3, 2023 pages 175-259
Guest Editors: Jennifer Percival, Dean of the Schmidthorst College of Business and Professor at Bowling Green State University ([email protected]) and Tarun Mohan Lal, Atrium Health Navicent ([email protected]).
Description: Technology, data-driven knowledge, and consumerism will establish the next generation of health care. To thrive in this environment, organizations must break through the old paradigm, understand the shifting market, and seize the opportunities to transform health care to leverage technologies and be more consumer-focused. While COVID-19 has proven healthcare’s natural evolution into the digital age, there is much work ahead of us to continue to advance the business model for digital care, patient acceptance, user experience, and clinician adoption. Continued execution of robust digital care is a transformational change that requires integration and coordination of professional, support and administrative staffs, sophisticated clinical and information technology, critical processes and inventories, and facility resources in a standardized fashion which cannot be accomplished without analytics, change management, and process engineering support. To support this national and international strategic priority, this special issue focuses on examining innovative telehealth and clinical automation, measuring the use and scalable developments, business process guidance, market research, and the economic impact of digital health innovations in an evolving health technology sector. It includes applied articles that feature original research, pilot studies, case use, best practices and perspectives from medical, technical, allied health, policy, safety, economic, strategic, education, and social impact disciplines.
Smart Healthcare Services and Technology-Driven Healthcare Systems; Volume 11, Issue 3, 2021 pages 171-270
Guest Editors: Bjorn Berg, University of Minnesota-Twin Cities, USA, ([email protected]), Nicole E. Werner, University of Wisconsin- Madison, USA, ([email protected]), Christian Wernz, Virginia Commonwealth University, USA, ([email protected]), Xiaolei Xie, Tsinghua University, China, ([email protected]) and Xiang Zhong, University of Florida, USA, ([email protected].
Description: The healthcare industry is in an era of rapid technological advancements worldwide. The next-generation of health information technologies and medical devices are being rapidly adopted, which has had a significant impact on safety, quality, costs, and access in healthcare. Meanwhile, Industry 4.0 has promoted the use of new technologies such as wearable sensors, virtual reality, artificial intelligence, and blockchain. The adoption of these new technologies not only makes it possible to collect large amounts of high-frequency data, but also enables new service offerings, such as electronic visits for primary care, telemedicine for specialty care, and tele-ICU for critical conditions. These technology-enabled service innovations allow healthcare systems to provide patient-centric and high-value services. Entering the new era of technology-driven healthcare 4.0, the industry is faced with unprecedented challenges and opportunities. To survive and thrive, healthcare organizations need to understand the dynamics of the new social-technical systems, and approach the design, policy, and operational challenges from a systems perspective and with a data-to-decision mindset. Within this context, this special issue addresses these emerging issues in healthcare from both academia and industrial practice by publishing innovative work on related topics in the fields of operations research, human factors, medical decision-making, health informatics, and health policy.
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