Mobile health (mHealth) technologies such as smartphone applications are increasingly being adopted in the healthcare setting to support the delivery of evidence-based care. Given the approaching ubiquity of mHealth tools in medical practice, it is incumbent on the continuing medical education (CME) community to understand how these tools can be leveraged to develop clinician knowledge and competence, and how we can assess these educational outcomes. In this report, we describe our experience developing and incorporating a mobile decision-support tool into multiple activity formats within the European Immuno-Oncology Clinic Companion CME initiative.
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http://dx.doi.org/10.1080/21614083.2020.1834762 | DOI Listing |
BMC Cardiovasc Disord
March 2025
Department of Clinical Pharmacy, School of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Background: Patients with atrial fibrillation are at risk for various complications, including thromboembolic events. This study involves developing and evaluating a Clinical Decision Support System (CDSS) to select appropriate anticoagulant drug, considering comorbidities, laboratory data, and concurrent medications. The system is based on a streamlined interpretation of the most recent globally accepted clinical guidelines.
View Article and Find Full Text PDFJMIR Mhealth Uhealth
February 2025
See Acknowledgments.
Background: Little is known about women's decisions around toileting for urination and how those decisions influence moment-to-moment behaviors to manage bladder needs. The new smartphone app "Where I Go" captures such nuanced and granular data in real-world environments.
Objective: This study aims to describe participant engagement with "Where I Go", variation in novel parameters collected, and readiness for the data collection tool's use in population-based studies.
Stud Health Technol Inform
February 2025
Lamina Solutions, Toronto, Canada.
The rapid growth of mobile health (mHealth) applications underscores the pressing need for robust evaluation platforms that ensure quality, efficacy, and stakeholder alignment. This paper introduces a quantitative, evidence-based framework that addresses these gaps through dynamic attribute weighting and multi-criteria decision analysis. The platform integrates methodologies such as CRITIC-TOPSIS and AI-driven attribute prioritization, validated through systematic reviews and expert analyses.
View Article and Find Full Text PDFBMC Health Serv Res
February 2025
Provincial Population and Public Health, Alberta Health Services, Calgary, AB, Canada.
Background: The goal of the Integrated Access to Cancer Screening (IACS) initiative was to help reduce the disparity in cancer screening participation across Alberta by implementing an integrated mobile service delivery model for breast, cervical, and colorectal cancer screening in rural and remote communities in Northern Alberta, performed by Nurse Practitioners (NPs) that addressed barriers to access. The aim of this study was to evaluate the outcomes and impact the IACS initiative had on the communities and residents of Northern Alberta. This article describes the initiative design, implementation, outcomes, and impact of the initiative.
View Article and Find Full Text PDFJ Assoc Physicians India
February 2025
Research Scholar, Department of Centre for Research in Urban Affairs, Institute for Social and Economic Change, Bengaluru, Karnataka, India, Corresponding Author.
Objective: The objective of this research is to assess the impact of clinical decision support (CDS) tools on the practices of Indian physicians.
Methods: Descriptive statistics and frequency distributions are used to assess the data.
Results: Through a primary survey, it was found that about 69% of the physicians frequently use clinical decision tools in their practice.
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