e.g. mhealth
Search Results (1 to 10 of 28 Results)
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Skip search results from other journals and go to results- 9 Journal of Medical Internet Research
- 3 JMIR Medical Informatics
- 2 JMIR Dermatology
- 2 JMIR Infodemiology
- 2 JMIR Mental Health
- 2 JMIR mHealth and uHealth
- 2 Online Journal of Public Health Informatics
- 1 JMIR Aging
- 1 JMIR Human Factors
- 1 JMIR Nursing
- 1 JMIR Public Health and Surveillance
- 1 JMIR Research Protocols
- 1 JMIR Serious Games
- 0 Medicine 2.0
- 0 Interactive Journal of Medical Research
- 0 iProceedings
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Medical Education
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 JMIR Cardio
- 0 JMIR Formative Research
- 0 Journal of Participatory Medicine
- 0 JMIR Pediatrics and Parenting
- 0 JMIR Perioperative Medicine
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR AI
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 JMIR XR and Spatial Computing (JMXR)
Multiple recommendations have been developed to assist individuals in their search for reliable health information [12-14]. However, many of the recommendations are complex, as they require individuals to possess a certain level of scientific knowledge and skills.
JMIR Infodemiology 2025;5:e62703
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Google Trends data reflect interest for keywords on a scale from 0 to 100 (relative search volume [RSV]) relative to all search inquiries in a given period and location. Google Trends data have been proven a valid tool in medical research and have been applied throughout various fields of medicine, for example, evaluating the effects of interventions or forecasting future trends to prepare health care providers [25,26].
Online J Public Health Inform 2024;16:e57718
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Electronic Health Record Data Quality and Performance Assessments: Scoping Review
A search was performed for all full-text research articles published in English in Pub Med from inception to May 7, 2023. A list of the exact search terms is included in Multimedia Appendix 1.
Four investigators (JB, RS, TRB, and YPP) reviewed the selected studies during the title and abstract screening. Further 4 investigators (ML, RS, TOB, and YPP) conducted the full-text review and final extraction of articles.
JMIR Med Inform 2024;12:e58130
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The query module triggers the search for new patients and writes all the results in the central Fast Healthcare Interoperability Resources (FHIR) store. The graphical user interface of recru IT (screening list) displays the results as a website. Users are informed about new results via email. API: application programming interface; FHIR: Fast Healthcare Interoperability Resources; OMOP: Observational Medical Outcomes Partnership.
JMIR Hum Factors 2024;11:e56872
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Second, a separate search was performed to identify studies on automated surveillance for postoperative and other hospital-acquired infections (Figure 1). Surveillance studies focusing on surgical populations often only investigate SSIs. As we aimed to study all bacterial infections that may occur after surgery, surveillance studies in a hospital-wide setting were also included. Both searches were performed in Pub Med, Embase (OVID), Web of Science (Core Collection), the Cochrane Library, and Emcare (OVID).
JMIR Med Inform 2024;12:e57195
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Predictive Data Analytics in Telecare and Telehealth: Systematic Scoping Review
The following 2 key domains were identified for inclusion in the search strategy: data analytics and telecare or telehealth (see Table 1). Search terms that were deemed most applicable to each database were applied. Me SH (Medical Subject Headings) terms and free-text entries were considered as appropriate. Boolean operators such as “AND,” “OR,” and truncation codes were used to refine and improve searches.
Online J Public Health Inform 2024;16:e57618
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To develop this comprehensive search strategy, we consulted with a librarian experienced in medical research and a cardiovascular expert to ensure a thorough search. The following Medical Subject Headings (Me SH) and keywords incorporating Boolean operators were applied: “cardiovascular disease,” “telemedicine,” “e Health,” “smartphone,” “mobile applications,” “text messaging,” “medication adherence,” and “randomized controlled trials,” among others.
J Med Internet Res 2024;26:e58013
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The literature search was developed by a health sciences librarian (PW) and included a combination of controlled vocabulary and keywords relating to serious games and cancer. No date, language, age, or geographical filters were applied to the search. The search was translated by PW for use in Pub Med, CINAHL Plus Full Text (via EBSCOhost), Scopus, Web of Science Core Collection, and American Psychological Association (APA) Psyc INFO (via EBSCOhost) databases.
JMIR Serious Games 2024;12:e58724
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For the study design, we first defined our core concepts to refine the literature search strategy. The scope of the review was semantic interoperability, that is, organizational, legal, and technical interoperability were excluded [7]. Semantic interoperability was apprehended based on the European Interoperability Framework (EIF) that provides a common set of principles and guidance for the design and development of interoperable digital services.
JMIR Med Inform 2024;12:e53535
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Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review
An information specialist helped develop the search strategy in Scopus, which was then translated into 5 other databases (Web of Science, CINAHL, EMBASE, IEEE Xplore, and the ACM digital library). The search strategy included the terms “machine learning,” “artificial intelligence,” “algorithms,” “neural networks,” “deep learning,” “algorithmic bias,” “biased,” “discrimination,” “ageism,” “age,” and “older people.”
JMIR Aging 2024;7:e53564
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