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Editorial Policies

Editorial Policies

Focus and Scope

JMIR Medical Informatics (JMI, ISSN 2291-9694; Journal Impact Factor™ 3.1, Journal Citation Reports™) (Editor-in-chief: Christian Lovis, MD, MPH, FACMI) is an open-access journal that focuses on the challenges and impacts of clinical informatics, digitalization of care processes, clinical and health data pipelines from acquisition to reuse, including semantics, natural language processing, natural interactions, meaningful analytics and decision support, electronic health records, infrastructures, implementation, and evaluation.

JMIR Medical Informatics disseminates high-quality research and aims to influence the implementation of informatics solutions to improve health care and care systems. Published by JMIR Publications, the journal focuses on applied, translational research, and implementation science with a broad readership, including clinicians, CIOs, engineers, industry, health informatics professionals, patients, and policy-makers. Submissions involving innovative and practical research on data shareability, reusability, and interoperability are encouraged.

JMIR Publications recently launched JMIR Artificial Intelligence (JAI). AI-centered papers with a core focus on applications of AI (see focus and scope) should preferably be submitted to this new journal.

JMIR Medical Informatics adheres to rigorous quality standards, involving a rapid and thorough peer-review process, professional copyediting, and professional production of PDF, XHTML, and XML proofs. 

In 2024, JMIR Medical Informatics received a Journal Impact Factor™ of 3.1 (5-Year Journal Impact Factor: 3.5, ranked Q2 #21/44 journals in the category of Medical Informatics) (Journal Citation Reports™ from Clarivate) and a Scopus CiteScore™ of 7.9, placing it in the 78th percentile (#30 of 138) and the 77th percentile (#14 of 59) as a Q1 journal in the fields of Health Informatics and Health Information Management. The journal is indexed in MEDLINEPubMedPubMed CentralDOAJ, Scopus, and SCIE (Clarivate)

Section Policies

Reviews in Medical Informatics

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Viewpoints on and Experiences with Digital Technologies in Health

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Case Study

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Implementation Report

For submissions in this section, authors are strongly encouraged to follow (and cite) the 

Editors
  • Caroline Perrin, University of Geneva
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Tools, Programs and Algorithms

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Open Source Software

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Adoption and Change Management of eHealth Systems

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Policy

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Organizational Issues

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Big Data

Editors
  • Mircea Focsa, Victor Babes University of Medicine and Pharmacy Timisoara
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Electronic Health Records

Editors
  • Mircea Focsa, Victor Babes University of Medicine and Pharmacy Timisoara
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Genomics and Bioinformatics for Clinical Use

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Health Information Exchange

Health information exchange (HIE) is the mobilization of healthcare information electronically across organizations within a region, community or hospital system. In practice the term HIE may also refer to the organization that facilitates the exchange. HIE provides the capability to electronically move clinical information among disparate health care information systems while maintaining the meaning of the information being exchanged. The goal of HIE is to facilitate access to and retrieval of clinical data to provide safer and more timely, efficient, effective, and equitable patient-centered care. HIE is also useful to public health authorities to assist in analyses of the health of the population. HIE systems facilitate the efforts of physicians and clinicians to meet high standards of patient care through electronic participation in a patient's continuity of care with multiple providers. Secondary health care provider benefits include reduced expenses associated with: Editors
  • Mircea Focsa, Victor Babes University of Medicine and Pharmacy Timisoara
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Computerized Provider Order Entry (CPOE)

CPOE is a process of electronic entry of medical practitioner instructions for the treatment of patients (particularly hospitalized patients) under his or her care. These orders are communicated over a computer network to the medical staff or to the departments (pharmacy, laboratory, or radiology) responsible for fulfilling the order. We publish for examples studies demonstrating (or questioning) that CPOE decreases delay in order completion, reduces errors related to handwriting or transcription, allows order entry at the point of care or off-site, provides error-checking for duplicate or incorrect doses or tests, and simplifies inventory and posting of charges.
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Methods and Instruments in Medical Informatics

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Advanced Data Analytics in eHealth

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Visualization in eHealth

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eHealth Infrastructures

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Ontologies, Classifications, and Coding

Editors
  • Mircea Focsa, Victor Babes University of Medicine and Pharmacy Timisoara
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Information Models

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Clinical Communication, Electronic Consultation and Telehealth

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Quality Improvement

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Short communication

Max 2000 words
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Information Seeking, Information Needs

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Clinical Informatics in Low-Resource Settings and the Developing World

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Imaging Informatics

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Secondary Use of Clinical Data for Research and Surveillance

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Machine Learning

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2016 Special Iss "Optimization, Data Mining, and Statistical Management of Bio-data in Medical Industry Informatization"

“Informatization refers to the extent by which a geographical area, an economy or a society is becoming information-based” (Wikipedia)The Journal of Medical Internet Research – Medical Informatics invites authors to submit articles on the applications of multiobjective optimization and big data technology in the knowledge discovery, data integration and intelligent decision-making for advances in medical and healthcare management, as well as medical industry informatization.Nowadays, informatization is the inevitable development trend in medical industry. In the past few decades, the computing hardware and software has continued to grow exponentially, but there still are some challenging problems for providing better healthcare services. Breakthroughs in operational research and arrival of the era of big data has helped us to find better operational strategies in hospitals that can affect patients’ health more accurately, towards higher quality and personalized services for patients.Medical industry informatization entails creation and administration of the overall healthcare system for efficient delivery of medical services and cost-effective operation of the healthcare organizations. This requires analytical problem-solving and decision-making to balance effective healthcare delivery and the cost-efficient performance of the hospital, by cooperative working of medical, nursing, administrative, and hospital operational services to function as a whole. It also includes development of procedures for state-of-the art medical treatments, quality care of patients, quality assurance characterization and assessment, and community distributed health planning. Budget planning and allocation is an important component of hospital operations management, to ensure cost-effective operations of all the hospital departments as well as develop and expand programs and services for scientific research and preventive medicine. This constitutes the focus of this Special Issue on the current state-of-the-art advances in medical informatization. Potential topics include, but are not limited to:* The function of medical information management systems, including resources allocation, personnel assignment and cost containment;* Mobile applications to provide online medical consultants, including diagnosis, therapy planning, and treatment follow-ups;* Big data techniques in the medical domain, such as collection, analysis and processing of widely used medical data through wearable devices;* Machine learning, processing of widely used bio-data through evolutionary based algorithms;Advanced techniques for optimization in the medical domain using metaheuristic optimization algorithms and hybridization;* Multiple criteria decision making in hospital management.

Editors
  • Simon Fong, Department of Computer and Information Science, University of Macau, Macau
  • Kelvin Wong
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Letters to the Editor

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Discretionary Corrigenda

For corrigenda that are discretionary and a result of author-oversight (e.g. corrections in the affiliation etc) we charge a $190 processing fee to make changes in the original paper and publish an erratum. To request a correction, please submit a correction statement (text similar to http://www.jmir.org/2015/3/e76/) as new submission from your author homepage.
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Corrigenda and Addenda

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Connected Health Symposium 2016

20% discount on the APF for presenters at the Boston Connected Health conference

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ePrescribing and Innovations in Pharmacies

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Connected Health Conference 2017

20% discount on the APF for presenters at the Boston Connected Health Conference

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Medication Reconciliation

Medication reconciliation is the process of creating an accurate list of all medications a patient is taking.

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New Technologies

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Connected Health Conference 2018

Presenters at CHS2018 get 20% off their APF. 

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Language Translation Technologies for Medicine and Public Health

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Theme issue 2019: Semantics of Mental Health

Theme issue guest editors: Jiang Bian, Cui Tao, Yi Guo, Jennifer Dahne

For details, please see Call for Papers.

Editors
  • Jiang Bian, Regenstrief Institue
  • Jennifer Dahne
  • Yi Guo
  • Cui Tao, UTHealth
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Theme issue 2019: Health Natural Language Processing

Guest Editors: Tianyong Hao, Buzhou Tang, Zhengxing Huang

For more details, see Call for Papers.

Editors
  • Tianyong Hao
  • Zhengxing Huang, College of Biomedical Engineering and Instrument Science, Zhejiang University, China
  • Buzhou Tang
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Theme Issue: Connected Health Conference 2019

20% discount on the APF for presenters at the 2019 Connected Health Conference

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Health Informatics Education and Training

See also: Health Professionals' Training in eHealth, Digital Medicine, Medical Informatics [Section Id: 1016]

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Theme Issue 2020:National NLP Clinical Challenges/Open Health Natural Language Processing 2019 Challenge Selected Papers

Guest Editors: Yanshan Wang, Feichen Shen, Ozlem Uzner

Editors
  • Feichen Shen
  • Ozlem Uzner, Volgenau School of Engineering, George Mason University
  • Yanshan Wang, University of Pittsburgh
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Theme Issue 2020: Medical Artificial Intelligence Applications in China

Guest Editors: Zhenyu Du, Katerina Kalemaki, Hailong Li

Editors
  • Zhenyu Du, Information Technology and Industrial Engineering Research Center, Hong Kong
  • Katerina Kalemaki, Institute of Molecular Biology and Biotechnology (IMBB), Foundation of Research and Technology (FORTH)
  • Hailong Li, Division of Neonatology, Cincinnati Children's Hospital Medical Center
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Editorial

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Theme Issue: Medical Informatics and COVID-19

We have created a new theme issue to enable rapid publication and dissemination of research and perspectives related to the COVID-19 pandemic and the implications for Medical Informatics.

Editors
  • Gunther Eysenbach, Editor/Publisher, JMIR Publications Inc.
  • Christian Lovis, Geneva University Hospitals
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Industry Perspectives

Industry perspectives: These outline the opinions and views of leaders in the field and offer a forum to share evolving ideas. We welcome in particular the discussion of  experiences with new tools, methods, apps, devices, or experiences about the role of technology in medical informatics.

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Security in Digital Health

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Computer-Aided Diagnosis

(section added Sep 2020, prior articles may not be tagged with this section even if relevant) Tools and algorithms to aid in diagnosis of dieseases and conditions. 

Related sections:

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Research Infrastructures and Registries

See also: Secondary Use of Clinical Data for Research and Surveillance [Section Id: 451]

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Digital Health Meta-Research and Bibliographic Studies

Metaresearch means that these are "studies about studies", for example bibliographic studies about the impact of digital health papers or methods or approaches.

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Standards and Interoperability

Editors
  • Mircea Focsa, Victor Babes University of Medicine and Pharmacy Timisoara
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Theme Issue 2021: Health Natural Language Processing and Applications

Special Issue Guest Editors: Tianyong Hao, South China Normal University, China; haoty@m.scnu.edu.cn;Buzhou Tang, Harbin Institute of Technology, China; tangbuzhou@hit.edu.cn;Zhengxing Huang, Zhejiang University, China; zhengxinghuang@zju.edu.cn

Call for papers: https://medinform.jmir.org/announcements/245

Editors
  • Tianyong Hao
  • Zhengxing Huang, College of Biomedical Engineering and Instrument Science, Zhejiang University, China
  • Buzhou Tang
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Consumer Health Informatics Innovations

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Theme Issue 2021: Emerging Challenges and Advancements In Health Informatics with New Generation Unsupervised Learning

Special Issue Guest Editors: Dr.B.Nagaraj, Dr. Danilo Pelusi, Dr. Valentina E.  Balas

Call for Papers: https://medinform.jmir.org/announcements/273

Editors
  • Nagaraj B
  • Danilo Pelusi
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Theme Issue 2022: Health Natural Language Processing and Applications (CHIP)

Guest Editors: Tianyong Hao (South China Normal University), Buzhou Tang (Buzhou Tang), and Zuofeng Li (Takeda China) 

Editors
  • Tianyong Hao
  • Zuofeng Li
  • Buzhou Tang
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Theme Issue: The Role of Trustworthy Artificial Intelligence in Healthcare

Editors
  • Robertas Damaševičius, Silesian University of Technology
  • Vijay Kumar, National Institute of Technology Hamirpur, India.
  • Christian Lovis, Geneva University Hospitals
  • Dilbag Singh, Research Professor, School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, South Korea.
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Research Letter

Research Letters present new, early, or preliminary research findings. The text should use standard research headings of Introduction, Methods, Results, and Discussion and should be no longer than 750 words, with a maximum of 10 references and 2 tables or figures. The APF for Research Letters accepted after peer review is lower than the standard APF.

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AI Language Models in Health Care

This section explores the transformative potential of AI language models in health care, emphasizing both their groundbreaking capabilities and the challenges of their integration. Articles will address the reliability, transparency, and evidence-based effectiveness of these technologies. 

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Commentary

A commentary is published alongside other articles published in JMIR Publications journals. Commentaries are typically invited. Unsolicited commentaries may be considered at the discretion of the editor. They may or may not be peer-reviewed. Articles submitted as a commentary should offer thoughtful criticism of published work, drawing from evidence, expertise, and/or additional perspectives. 

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Industry-Driven Implementation Report

Through a collection of industry-driven digital health implementation reports, the Industry-Driven Implementation Report section aims to highlight best practices; identify challenges and solutions; foster knowledge sharing; and create a pool of actionable implementation reports that follow the iCHECK-DH reporting guidelines.

Editors
  • Caroline Perrin, University of Geneva
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Theme Issue 2024: Health Natural Language Processing and Applications with Large Language Models

JMIR Medical Informatics is pleased to announce the electronic collection (e-collection) Theme Issue 2024: Health Natural Language Processing and Applications with Large Language Models. This is a “closed group theme issue”—the e-collection is not open to everybody to submit. Only authors of selected papers are invited to submit to this e-collection.

Editors
  • Tianyong Hao
  • Qiao Jin, National Institutes of Health
  • Christian Lovis, Geneva University Hospitals
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Peer Review Process

When we receive a manuscript, an assessment will be made to ensure the manuscript meets the formal criteria specified in the Instructions for Authors and that it fits within the scope of the journal. When in doubt, the editor will consult other members of the Editorial Board. Manuscripts are then assigned to a Section Editor, who sends it to 2-4 external experts for peer review. Authors are required to suggest at least 2 peer-reviewers (who do not have a conflict of interest) during the submission process.

Peer reviewing is a single-blind process as the reviewers are aware of the names of the authors. Review feedback is anonymous when shared with the authors during the review process. Reviewers for JMIR journals will not stay anonymous as their names appear at the end of the published article. Authors and reviewers should not contact each other directly to discuss manuscripts or reviews.

Speed of Peer-Review

The Internet is a fast-moving field and we acknowledge the need of our authors to communicate their findings rapidly. We therefore aim to be extremely fast (but still thorough and rigorous) in our peer-review process. For example, the paper "Factors Associated with Intended Use of a Web Site Among Family Practice Patients" (J Med Internet Res 2001;3(2):e17) was reviewed, edited, type-set and published within only 16 days. Including the two weeks time authors needed to revise their article, from first submission to final publication less than 1 month passed. (note that current turnaround times needed to review and edit papers vary, and primarily depend on the quality of the paper upon first submission!). Normally we can not give any guarantees on the speed of peer-review or publication - except if a paper has been submitted under the fast-track scheme, where we guarantee an editorial decision within 20 working days (4 weeks) and publication of the article within 4 weeks after acceptance. We aim for an average decision time of 2 months after submission for papers sent out for peer-review. There will however always be outliers (papers which are more difficult to evaluate).

Current statistics on turnaround time show that on average it takes 50 days to make an initial decision (29 days for fast-tracked papers). (see 1.4 on the stats page)

Criteria for Selection of Manuscripts

Manuscripts should meet the following criteria: the study conducted is ethical (see below); the material is original; the writing is clear; the study methods are appropriate; the data are valid; the conclusions are reasonable and supported by the data; the information is important; and the topic is interesting for our readership. It is recognized that many submissions will describe websites and other Internet-based services. The Editorial Board strongly recommends that authors of such submissions make efforts to evaluate and if possible quantify the impact of these services. Submissions containing evaluations are more likely to be accepted than those containing descriptions of services alone, unless the service includes significant innovation. More descriptive papers - ideally with an evaluation plan - can be submitted to JMIR Res Protoc. Formative research, feasibility and pilot studies should be submitted to JMIR Formative Res (see also Publication Strategy article in our Knowledge Base).

Ethical Issues

Internet-based research raises novel questions of ethics and human dignity (see for example KB article on Ethics in Social Media Research). If human subjects are involved, informed consent, protection of privacy and other human rights are further criteria against which the manuscript will be judged. Papers describing investigations on human subjects must include a statement that the study was approved by the institutional review board, in accordance with all applicable regulations, and that informed consent was obtained after the nature and possible consequences of the studies were explained. JMIR is also encouraging articles devoted to the ethics of Internet-based research. In addition, as mentioned in the conflict of interest article, we will ask authors to disclose any competing interests in relation to their work.

For more information on JMIR Publications' ethics policies, please visit our Knowledge Base (KB), here.

Publication Frequency

This journal publishes articles continuously, i.e. articles are published online as soon as they are available (peer-reviewed and copy-edited).

Open Access Policy

All journals published by JMIR Publications provide immediate open access to their content on the principle that making research freely available to the public supports a greater global exchange of knowledge and accelerates research. Copyright is retained by the authors, and articles can be freely used and distributed by others. Articles are distributed under the terms of the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published by JMIR Publications, is properly cited. The complete bibliographic information (authors, title, journal, volume/issue, and article ID), a link to the original publication (URL), and this copyright and license information (“Licensed under Creative Commons Attribution cc-by 4.0”) must be included.

Please do not contact the publisher for “reprint permission” requests because, by default, this permission has already been given by authors (under the condition of attribution of the original source), and the publisher does NOT own the copyright for the material published. The authors retain the copyright, unless stated otherwise.

Author Self-Archiving

In JMIR Medical Informatics, authors keep the copyright of their material and are allowed to self-archive their work as HTML or Word file in institutional repositories and on the web, or to republish it for example as a book chapter (note that publication in another scholarly journal - while possible from a copyright point of view - is generally considered duplicate publication and scientific misconduct). In all cases of republication or self-archiving, the original source (citation) should be provided, including the link to the original JMIR Medical Informatics article on medinform.jmir.org, and a note should be included that the work is licensed under the Creative Commons Attribution License CC-BY 2.0.

Editor-in-Chief

Arriel Benis, PhD, Associate Professor, Head of the department of Digital Medical Technologies, Holon Institute of Technology (HIT), Israel

Editorial Board

Editor-in-Chief

Arriel Benis, PhD

Associate Professor, Head of the department of Digital Medical Technologies, Holon Institute of Technology (HIT), Israel

Research Focus

Arriel Benis’s research is data-driven, real-world-oriented, and decision support-focused. His main fields of interest are (1) Health Care Informatics and Public Health with a broad focus on Health Communication; (2) Artificial Intelligence and Data Science and, more particularly, Data Mining/Process Mining, Machine Learning, Ontologies, and Language Processing; (3) Social Media, Social Networks and Social Physics; (4) Systemics in Medicine (One Health/One Digital Health), Emergency and Disaster Management.

Bio

Arriel Benis is an Associate Professor at the Holon Institute of Technology (HIT), Israel. He is the head of the department of Digital Medical Technologies. He is also the head of the track "Management of Information and Technologies for Health Systems" of the M.Sc. of Technology Management. He is additionally involved in the activities of the department Data Science.

Arriel leads the BIA laboratory (Business Intelligence and Automation Lab.), wherein research mainly deals with Data and Information Intelligence, emphasizing Data Science and Artificial Intelligence applications in Health, Medicine, and Industry 4.0. He holds a PhD in Medical Informatics and Artificial Intelligence from Paris North University (today, Université Sorbonne Paris Nord) and an MSc in Medical Informatics and Communication Technologies from Pierre and Marie Curie University (today, Sorbonne University). He has a background in Computer and Information Science and Engineering, and Biomedical Sciences and Engineering. For several years, Prof. Arriel Benis served as a Senior Researcher and Principal Investigator in different organizations in the Health Care, Public Health, and Social Media fields. Arriel is the author of dozens of peer-reviewed papers on Medical Informatics and Public Health. Additionally, he has been involved in different roles in Emergency Medical Services. Prof. Benis leads efforts to develop international academic cooperation worldwide in Medical Informatics, Digital Health, and applied Artificial Intelligence. He occupies several leadership positions in medical information organizations. Arriel is a board member of the Israeli Association for Medical Informatics (ILAMI); the Israeli/ILAMI representative, the co-chair of the Healthcare Informatics for Interregional Cooperation (HIIC) and One Digital Health (funder, ODH) working groups, and Executive Officer at the European Federation for Medical Informatics (EFMI); and the funder and chair of the “One Digital Health” working group at the International Medical Informatics Association (IMIA).


Amanda Iannaccio, Managing Editor


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Editorial Board Members

Associate Editors

Alexandre Castonguay, PhD

Faculty of Nursing, Université de Montréal, Canada

Research Focus

Alexandre Castonguay’s research interests are mainly focused on supporting the implementation of health information technologies (dHealth) in the healthcare system by a) generating integrative and evolutionary theoretical models explaining the acceptability, adoption, and maintenance of use of dHealth by different types of health professionals, in different contexts of prevention and care, and b) the evaluation of the effects of the implementation of dHealth on the quality of life at work of health professionals, as well as on the quality and accessibility of the care they provide.

Bio

Alexandre Castonguay is an Assistant professor at the Faculty of Nursing at the Université de Montréal as well as an associate researcher for the Health Promotion and Chronic Disease Prevention and Management axis at the Centre intégré universitaire de santé et de services sociaux du Nord-de-l'île-de-Montréal Research Center.

Dr. Castonguay completed a doctorate in social psychology (Ph.D.) in 2018, focusing on health behavior change theories. Then, he completed two postdoctoral fellowships in 2019 and in 2022, where he examined the role of digital technologies, including telemedicine, connected health, patient portals, and artificial intelligence, in optimizing the quality, continuity, and efficiency of care. 


Qingyu Chen, PhD

Research Fellow, National Center for Biotechnology Information, National Library of Medicine, National Institute of Health, US

Research Focus

Dr. Chen’s research is on AI and data science for health care and biomedicine. His primary research areas include machine learning-assisted disease diagnosis and prognosis, biomedical and clinical text mining, and trustworthy AI.

Bio

Dr. Qingyu Chen is a research fellow in biomedical and clinical informatics at the National Library of Medicine (NLM) Intramural Research Program, the National Institute of Health (NIH), and the lead instructor of BIOF395 Introduction to Text Mining, Foundation for Advanced Education in the Sciences (FAES) at NIH. He holds a Ph.D. in Computer Science (Biomedical Informatics) from the University of Melbourne (the recipient of the Microsoft Master Innovator Award). Dr. Chen’s research is on AI and data science for health care and biomedicine. His primary research areas include machine learning-assisted disease diagnosis and prognosis, biomedical and clinical text mining, and trustworthy AI; his work spans medical images, clinical notes, biomedical literature, and biological sequences. He has led research in major phases of AI for health care research, including data generation and standardization, method development, and AI downstream accountability. He has published over 35 first-authored papers out of ~60 under these directions and is the first author of popular web servers such as LitCovid (https://www.ncbi.nlm.nih.gov/research/coronavirus/). He received competitive awards such as the NIH Fellows Award for Research Excellence and the top performance award in three machine learning challenge tasks in biomedical and clinical informatics. 


Mircea Focsa, MD, PhD

Associate Professor, Victor Babeș University of Medicine and Pharmacy of Timisoara, Romania

Research Focus

Dr. Fosca's research focuses on the secondary use of medical data, medical ontology and knowledge-based clinical decision support systems.

Bio

Dr Mircea Focsa (MD, PhD) is an Associate Professor of Medical Informatics and Biostatistics at the Victor Babes University of Medicine and Pharmacy Timisoara. He is a medical doctor and specialist in Public Health and Healthcare Management. In the past years, he contributed to an international team for developing knowledge-based clinical information systems for family practice, coordinating ontology and medical algorithms development. He also led the interoperability group - part of the Theme Advisory Committee for Health Services (CCTSS) of the Romanian Ministry of Health. Mircea actively supported the adoption of quality EHR systems, as a founder member and President of Prorec Romania and a member of the EFMI and Eurorec Institute. He also contributed to the implementation of the first Romanian Patient Recruitment System, part of Clinerion's global network. Throughout his career, he participated in many European or National funded projects on eHealth and eLearning domains, also acting as a European expert (eCOST, CEF-Telecom, Horizon).


Jeffrey Klann, MEng, PhD

Harvard Medical School, USA

Research Focus

Jeffrey Klann’s research focuses on the secondary use of medical data for knowledge discovery, quality, safety, and efficiency. This takes the form of informatics tools that enable research and discovery (eg, data warehouses, analysis platforms, distributed computing) as well as applications and methods for utilizing that data (eg, decision support, data mining, artificial intelligence, Bayesian networks).

Bio

Jeffrey Klann believes that technology can and should have the same positive impact in the medical world it has in the consumer world and that the nation's massive investment in Health Information Technology should translate into accelerated innovation and discovery and improved quality, efficiency, and safety of health care.


Caroline Perrin Franck, PhD

Geneva Digital Health Hub (gdhub), University of Geneva, Switzerland

Research Focus

Caroline Perrin Franck's research focuses on approaches to digital health knowledge management, implementation sciences, and the impact evaluation of digital health.

Bio

Caroline Perrin Franck is the Executive Director of the Geneva Digital Health Hub (gdhub) and Scientific Collaborator at the University of Geneva. She is leading the development and implementation of a data-driven digital health insights platform. Prior, as Program Manager for the RAFT distance education and telemedicine network, and for the Geneva University Hospitals eHealth service, she focused on the design, development, deployment, and evaluation of innovative health informatics solutions and multi-stakeholder partnerships to strengthen health systems. She holds a Master's in IT Management and a PhD in Global Health from the University of Geneva. 

Past Editorial Board Members

Juliana Brixey, RN, MSN, MPH, PhD

The University of Texas Health Science Center at Houston, School of Biomedical Informatics/School of Nursing, USA

Research Focus

Juliana Brixey’s research focuses on virtual reality, online education, and interruptions in workflow.

Bio

Juliana Brixey completed her PhD in Health Informatics from the School of Health Information Sciences, University of Texas Health Science Center in Houston. Upon completion of her doctoral studies, she joined the faculty at the University of Kansas School of Nursing where she taught nursing informatics courses. Notably, Juliana introduced the use of Web 2.0 technologies in the nursing informatics curriculum. In June 2010, Juliana returned to the University of Texas Health Science Center at Houston School of Biomedical Informatics. She has teaching responsibilities in the Master’s in Applied Health Informatics program. Juliana has introduced the use of Web 2.0 technologies in the Master’s in Applied Informatics curriculum.

Iain Buchan, MD, FFPH, FACMI, FFCI

University of Liverpool, UK

Research Focus

Iain Buchan’s research focuses on (1) clinical research informatics, including the e-infrastructure for this, trustworthy reuse of health data at scale, and distributed statistical/epidemiological modelling; (2) public health informatics, covering all aspects of "population level uses of electronic health records"; and (3) usefully complex models at the interface of n-of-1 understanding of individual health and clinical epidemiology. Supporting co-production of care, with emphasis on informed self-care.

Bio

Iain Buchan is Chair in Public Health and Clinical Informatics and Associate Pro Vice Chancellor for Innovation at the University of Liverpool. As a public health physician and data scientist, he recently led the world-first evaluation of mass rapid antigen testing, risk-mitigated reopening of mass events for UK COVID-19 responses, and designed the Civic Data Cooperative and Combined Intelligence for Population Health Action. Previously, he founded the University of Manchester’s Centre for Health Informatics and generated over £150m of research there. He has been working at the interface of data and health sciences for over 30 years. Qualified in pharmacology, medicine, public health, statistics, and informatics. He is a Fellow of the American College of Medical Informatics and won the 2022 UK Faculty of Public Health Alwyn-Smith Prize.

Jennifer Hefner, MPH, PhD

Assistant Professor of Health Services Management and Policy, College of Public Health, The Ohio State University, USA

Bio

Dr. Hefner conducts scholarship reviews in the fields of health services research and clinical informatics. Her research focuses on applying management and organizational theories to the study of healthcare transformation in hospital settings. Currently, Dr. Hefner is working on understanding management strategies that are effective in reducing healthcare-associated infections, evaluating healthcare quality measures and studying the impact of patient portals on healthcare workflow. Dr. Hefner is Associate Editor for Advances in Healthcare Management, a biannual peer reviewed journal published by Emerald Press.

Christian Lovis, MD, MPH, FACMI

Professor and Chairman, Division of Medical Information Sciences, University Hospitals of Geneva (HUG), University of Geneva (UNIGE), Switzerland

Research Focus

Christian Lovis’ work is mostly driven by using digitalization of data, information, and knowledge. His team’s research focuses on three major fields: (1) clinical information systems: design and architecture, sustainability, and impacts; (2) data- and knowledge-driven science: natural language processing, knowledge representation, semantics and interoperability, context awareness, advanced analytics, predictive, and decision support; and (3) human factors: advanced interactions, augmented reality, conversational, qualitative and quantitative evaluation, and ergonomics. Christian’s own research is led by the desire to use medical information sciences to improve health, well-being, and knowledge in life sciences, with an MD thesis centered on natural language processing and large datasets to support physician’s work. This is a theme that he has continued all through his career, to the big data and artificial intelligence era, to address the challenge of real-time usable integration of multisource, multimodal data with persistent semantics.

Bio

Christian Lovis is a Professor of Clinical Informatics at the University of Geneva and leads the Division of Medical Information Sciences at the Geneva University Hospitals. He is a medical doctor board certified in Internal Medicine with emphasis on Emergency Medicine and holds a Master's in Public Health from the University of Washington, WA. In parallel to medicine, he studied Medical Informatics at the University of Geneva under the supervision of Prof Jean-Raoul Scherrer. Christian developed and deployed the clinical information system at the university hospitals of Geneva, a consortium of all public in- and out-patient facilities of Geneva State, Switzerland. Christian is the author of more than 150 peer-reviewed papers in the field of Medical Informatics. He has occupied several positions in Medical Informatics organizations, such Chair of the IMIA WG on Health Information Systems (HIS), President of the Swiss Medical Informatics, President of the European Federation of Medical Informatics, Vice-Chair of the Board of Directors of HIMSS. Christian is a Fellow of the American College of Medical Informatics and a founding member of the International Academy of Health Sciences Informatics. He has been heavily involved in the development and enforcement of the Swiss Federal Law for the Shared Patient Record.

Claudia Pagliari, PhD, FRCPE

Medical School, The University of Edinburgh, Scotland

Research Focus

Claudia Pagliari’s research focuses on new data streams (remote monitoring, crowdsourced data, data linkage) for better care coordination, research, and policyShe also studies the ethical, societal, and regulatory implications of emerging digital health innovations, as well as factors influencing their effectiveness and sustainability.

Bio

Claudia Pagliari is a senior lecturer (associate professor) in health informatics at the University of Edinburgh, UK, where she leads the Interdisciplinary Research Group in eHealth, the Master's programme in Global eHealth and the consumer informatics theme of the NHS Digital Academy. She is an interdisciplinary scientist whose research spans many areas of health informatics, including policy studies, health technology evaluation, implementation science, user-centred design and digital governance. This includes studies of electronic health records, e-government programmes, consumer digital health and personal health records, remote telehealth and mHealth, social media and social robots, eHealth in low-resource settings and emerging directions in health data science.

Carlos Luis Parra Calderón, PhD

Technological Innovation, Virgen del Rocío University Hospital, Spain

School Computer Engineering, University of Seville, Spain 

Research Focus

Carlos Luis Parra Calderón’s research interests are clinical research, data mining, and information security.

Bio

Carlos Luis Parra Calderón has an economics degree and Master of Research in Industrial Organization from the University of Seville. He is the Head of Innovation Technology at “Virgen Macarena” and “Virgen del Rocío” University Hospitals. Over the last 5 years, he has published 31 review articles and 2 book chapters. He is a member of the EHR WG of HL7, member of the Board of the Spanish Society of Health Informatics, and a representative of this organization in the European Federation in Medical Informatics (MIE 2015 LOC Chair), a member of AENOR TC 139 of “Medical Informatics” corresponding to CEN TC251 and ISO TC 215, and also a member of the Board of Andalusian Health Informatics Professionals Association (APISA). He has participated in the following European projects with a high focus on interoperability: epSOS (CIP Call 6), Trillium Bridge (FP7-ICT-2013-5.1 e4) and eHealth: REWIRE (FP7-ICT-2011-5.1) Health@Home (AAL 2008) and European COST Action IS1303:CHIP ME.

Indexing and Impact Factor

JMIR Medical Informatics (JMI, ISSN 2291-9694) is a sister journal of JMIR, the leading eHealth journal. JMIR Medical Informatics is indexed in MEDLINEPubMedPubMed CentralDOAJ, Scopus, and SCIE (Clarivate)

In 2024, JMIR Medical Informatics received a Journal Impact Factor™ of 3.1 (5-Year Journal Impact Factor: 3.5, ranked Q2 #21/44 journals in the category of Medical Informatics) (Journal Citation Reports™ from Clarivate).

It also received a Scopus CiteScore of 7.9, placing JMIR Medical Informatics in the 78th percentile (#30 of 138) and the 77th percentile (#14 of 59) as a Q1 journal in the fields of Health Informatics and Health Information Management.