Section Policies
Reviews in Medical Informatics
Viewpoints on and Experiences with Digital Technologies in Health
Case Study
Implementation Report
For submissions in this section, authors are strongly encouraged to follow (and cite) the
Tools, Programs and Algorithms
Open Source Software
Adoption and Change Management of eHealth Systems
Policy
Organizational Issues
Natural Language Processing
Adverse Drug Events Detection, Pharmacovigilance and Surveillance
"As clinical trials are performed with limited numbers of participants and limited investigation periods, they do not always clearly identify the full range of possible adverse events. Although postmarketing surveillance, which is executed by specialized agencies in many countries, has focused on gathering information on adverse drug events (ADEs), the identification of ADEs in actual clinical settings remains insufficient due to its dependence upon voluntary reporting. The introduction of electronic medical records (EMRs) by many hospitals has allowed for the secondary use of EMR data from multiple hospitals." [Teramoto K et al. JMIR Med Inform 2021;9(11):e28763; URL: https://medinform.jmir.org/2021/11/e28763]
Big Data
Decision Support for Health Professionals
Electronic Health Records
Genomics and Bioinformatics for Clinical Use
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:
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.
Methods and Instruments in Medical Informatics
Advanced Data Analytics in eHealth
Visualization in eHealth
eHealth Infrastructures
Ontologies, Classifications, and Coding
Information Models
Clinical Communication, Electronic Consultation and Telehealth
Quality Improvement
Short communication
Max 2000 words
Information Seeking, Information Needs
Clinical Informatics in Low-Resource Settings and the Developing World
Imaging Informatics
Secondary Use of Clinical Data for Research and Surveillance
Machine Learning
Letters to the Editor
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.
Corrigenda and Addenda
ePrescribing and Innovations in Pharmacies
Medication Reconciliation
Medication reconciliation is the process of creating an accurate list of all medications a patient is taking.
New Technologies
Language Translation Technologies for Medicine and Public Health
Health Informatics Education and Training
Editorial
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.
Short Paper
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.
Security in Digital Health
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:
- Diagnostic Tools in Mental Health [Section Id: 388]
- Transdiagnostic Mental Health Interventions [Section Id: 690]
- Innovations in Cancer Diagnostic and Decision Support [Section Id: 861]
- New Diagnostic Tools and Instruments for Pediatrics [Section Id: 868]
- Screening and Early Diagnosis in Pediatrics [Section Id: 748]
Research Infrastructures and Registries
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.
Standards and Interoperability
Consumer Health Informatics Innovations
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.
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.
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.
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.
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.