e.g. mhealth
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There is also an increasing number of knowledge tools (KTs) [19,22-28], defined as resources that help translate evidence into practice [29], often found in the form of conceptual frameworks, models, and theories [30]. However, there is considerable heterogeneity across these KTs, as well as a lack of consensus about the building blocks, taxonomy, and definitional boundaries of the constructs of telemedicine implementation along the life cycle [31,32].
J Med Internet Res 2025;27:e70276
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When combined with the ability to directly import patient information from the EHR and apply algorithms ranging in complexity from simple rule-based systems to artificial intelligence, these tools have great potential to improve patient safety and clinical efficacy.
J Med Internet Res 2025;27:e68256
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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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