e.g. mhealth
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Tools, such as Knowledge Map Concept Identifier [21], Meta Map [22], Med LEE [23], Med Ex [24], HITEx [25], and c TAKES [26] have been widely adopted in phenotyping models [27-29]. The emergence of deep contextual embeddings, notably BERT [30], has revolutionized NLP methodologies, including normalization tasks. Current state-of-the-art approaches heavily use transformer-based encoders pretrained on domain-specific corpora, demonstrating substantial improvements in normalization [31-33].
JMIR Med Inform 2025;13:e68704
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Spatiotemporal Cluster Detection for COVID-19 Outbreak Surveillance: Descriptive Analysis Study
tools
JMIR Public Health Surveill 2024;10:e49871
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The guided tools included an experience to relax, meditate, affirm, breathe, rejuvenate, and self-observe. The program details are available in Figure 1.
Participants who provided consent to participate in the study were randomly picked by a web-based team generator tool to be in group A (Heartfulness group) and group B (control group: waitlist for Heartfulness group) [32].
JMIR Form Res 2024;8:e56355
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Decision Aid for Colectomy in Recurrent Diverticulitis: Development and Usability Study
Our experience with this method illustrates the value of the design sprint methodology in the creation of tools to improve the overall care of patients.
JMIR Form Res 2024;8:e59952
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In recent years, wearable activity trackers have become ubiquitous tools, widely adopted for tracking and enhancing physical activity and other lifestyle behaviors, helping to mitigate the risk of chronic diseases [3]. These devices measure a plethora of activity metrics such as steps taken, distance covered, energy expenditure, physical activity intensities, and sleep patterns [4].
JMIR Mhealth Uhealth 2024;12:e56972
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Evaluation of AI-Driven LabTest Checker for Diagnostic Accuracy and Safety: Prospective Cohort Study
A notable instance of AI’s application is evident in the emergence of clinical decision support systems (CDSSs), direct tools designed to streamline health care decision-making [3].
Laboratory tests are essential in modern health care, providing valuable insight into a patient’s health status and improving the accuracy of diagnosing medical conditions. The interpretation of laboratory test results is a complex process requiring medical expertise and knowledge.
JMIR Med Inform 2024;12:e57162
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Unfortunately, most technological tools, including apps, are not culturally responsive [36]. To increase the cultural responsiveness of technological tools, it is important to garner input from individuals with different identities (eg, English and Spanish-speaking), acquire knowledge about different user experiences, and tailor features to the experiences of individuals [37].
JMIR Form Res 2024;8:e56043
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Artificial intelligence tools can be used to collect data and merge with databases to provide a snapshot of the nutritional quality across the food landscape. A systematic review has evaluated 13 publicly available interactive data-driven dashboards as strategies for nutrition surveillance [19], including examples such as John Hopkins University’s Food Systems Dashboard [20] and the Global Food and Nutrition Security Dashboard [21].
JMIR Public Health Surveill 2024;10:e59924
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Inappropriately introducing AI in the clinical encounter could impact its perceived usefulness, which could further deter the willingness and uptake of AI-enabled tools by primary care clinicians [14,15].
For the context of this research, the users are primary care health care providers (eg, primary care physicians, and nurse practitioners) in Ontario, Canada.
JMIR Res Protoc 2024;13:e54365
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