Search Articles

View query in Help articles search

Search Results (1 to 10 of 525 Results)

Download search results: CSV END BibTex RIS


Feasibility of a Randomized Controlled Trial of Large AI-Based Linguistic Models for Clinical Reasoning Training of Physical Therapy Students: Pilot Randomized Parallel-Group Study

Feasibility of a Randomized Controlled Trial of Large AI-Based Linguistic Models for Clinical Reasoning Training of Physical Therapy Students: Pilot Randomized Parallel-Group Study

While these strategies have shown positive results in improving students’ decision-making skills, their implementation often requires significant resources, such as trained facilitators or access to standardized patients, making them challenging to scale [7]. This highlights the need for alternative approaches that can provide physical therapy students with diverse clinical scenarios to enhance their clinical reasoning in a more accessible and structured manner.

Raúl Ferrer-Peña, Silvia Di-Bonaventura, Alberto Pérez-González, Alfredo Lerín-Calvo

JMIR Form Res 2025;9:e66126

Implementation Outcomes of Reusable Learning Objects in Health Care Education Across Three Malaysian Universities: Evaluation Using the RE-AIM Framework

Implementation Outcomes of Reusable Learning Objects in Health Care Education Across Three Malaysian Universities: Evaluation Using the RE-AIM Framework

The Analysis, Design, Development, Implementation, and Evaluation model [12], an instructional design model, offers a structured approach to guide the development and implementation of educational programs but falls short of providing metrics for measuring implementation. Therefore, there is a need for an e-learning implementation outcome framework that provides a comprehensive and objective evaluation of the implementation of e-learning resources.

Hooi Min Lim, Chin Hai Teo, Yew Kong Lee, Ping Yein Lee, Kuhan Krishnan, Zahiruddin Fitri Abu Hassan, Phelim Voon Chen Yong, Wei Hsum Yap, Renukha Sellappans, Enna Ayub, Nurhanim Hassan, Sazlina Shariff Ghazali, Nurul Amelina Nasharuddin, Puteri Shanaz Jahn Kassim, Faridah Idris, Klas Karlgren, Natalia Stathakarou, Petter Mordt, Stathis Konstantinidis, Michael Taylor, Cherry Poussa, Heather Wharrad, Chirk Jenn Ng

JMIR Med Educ 2025;11:e63882

Remote Monitoring by ViQtor Upon Implementation on a Surgical Department (REQUEST-Trial): Protocol for a Prospective Implementation Study

Remote Monitoring by ViQtor Upon Implementation on a Surgical Department (REQUEST-Trial): Protocol for a Prospective Implementation Study

This prospective implementation study with retrospective data analysis (the REQUEST [Remote Monitoring by vi Qtor Upon Implementation on a Surgical Department] trial) will be conducted at a large teaching hospital. All adult patients (aged 18 years and older) admitted to the surgical department for elective procedures will be eligible for inclusion, provided they meet our inclusion criteria and provide informed consent. Patients unable to wear the device or unwilling to participate will be excluded.

Ephrahim E Jerry, Arthur R Bouwman, Simon W Nienhuijs

JMIR Res Protoc 2025;14:e70707

Key Factors Shaping Successful Implementation of the Internet of Things (IoT) in Health Care: Qualitative Study

Key Factors Shaping Successful Implementation of the Internet of Things (IoT) in Health Care: Qualitative Study

The review found no studies on the actual implementation of Io T in health care and only a few focusing on Io T adoption. Kronlid et al call for more rigorous empirical research on Io T adoption and implementation, grounded in frameworks that reflect sociotechnical realities. Other previous research has shown that successful implementation requires consideration of factors beyond technology [21].

Klas Palm, Carl Kronlid, Marie Elf, Anders Brantnell

JMIR Hum Factors 2025;12:e71546

Patient and Health Care Provider Experiences With Suicide-Related Tele–Mental Health Evaluations in the Emergency Department: Multiphase Qualitative Study

Patient and Health Care Provider Experiences With Suicide-Related Tele–Mental Health Evaluations in the Emergency Department: Multiphase Qualitative Study

Health care provider interviews were completed before TIPS implementation and after the implementation of TIPS. This was done to understand evolving facilitators of and barriers to implementation and understand perceptions around the TIPS program. Preimplementation interviews were also used to inform implementation strategies. All patient interviews were completed after implementation to understand patient experiences with TIPS and perceptions around tele–mental health emergency evaluations.

Aishwarya Khanna, Celine Larkin, Rachel Davis-Martin, Ivy Khevali Micklus, Ana Vallejo Sefair, Ancella Roy, Christian Guy Klaucke, Martin A Reznek, Edwin D Boudreaux

JMIR Ment Health 2025;12:e72541

Integrating Mobile Health App Data Into Electronic Medical or Health Record Systems and Its Impact on Health Care Delivery and Patient Health Outcomes: Scoping Review

Integrating Mobile Health App Data Into Electronic Medical or Health Record Systems and Its Impact on Health Care Delivery and Patient Health Outcomes: Scoping Review

The inconsistent findings across studies underscore the need for a review of existing evidence on the integration of m Health and EMR/EHR and health outcomes, in order to obtain insights and develop practical recommendations for health care policy makers, administrators, and providers, guiding the effective implementation of m Health app data integration with EMR/EHR systems.

Jialing Lin, Shona Marie Bates, Luke N Allen, Michael Wright, Limin Mao, Michael Kidd

JMIR Mhealth Uhealth 2025;13:e66650

Spread and Scale-Up of a Region-Wide Telehealth Navigation Service in a Rural Context: Qualitative Process Evaluation

Spread and Scale-Up of a Region-Wide Telehealth Navigation Service in a Rural Context: Qualitative Process Evaluation

Despite a proliferation of theories, models, and frameworks to guide implementation, relatively few have been developed for spread, scale-up, and sustainability, and those that do rely on a limited evidence base [27,28].

Mary Malakellis, Anna Wong Shee, Laura Alston, Vincent L Versace, Pheona Griffith, Jade Odgers, Kevin Mc Namara

J Med Internet Res 2025;27:e64734

Designing Clinical Decision Support Systems (CDSS)—A User-Centered Lens of the Design Characteristics, Challenges, and Implications: Systematic Review

Designing Clinical Decision Support Systems (CDSS)—A User-Centered Lens of the Design Characteristics, Challenges, and Implications: Systematic Review

Related design and human-computer interaction keywords, including “user-centered design,” “design,” “user experience,” “implementation,” “evaluation,” “usability,” and “architecture,” were selected for use as search terms. Since Pub Med supports Me SH (Medical Subject Headings) indexing, we also explored subject headings related to CDSS.

Andrew A Bayor, Jane Li, Ian A Yang, Marlien Varnfield

J Med Internet Res 2025;27:e63733

Implementation of a Quality Improvement and Clinical Decision Support Tool for Cancer Diagnosis in Primary Care: Process Evaluation

Implementation of a Quality Improvement and Clinical Decision Support Tool for Cancer Diagnosis in Primary Care: Process Evaluation

Implementation of the software was supported by a number of additional intervention components. This multifactorial implementation strategy was informed by the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework, with strategies that were relevant and useful to general practice [30].

Sophie Chima, Barbara Hunter, Javiera Martinez-Gutierrez, Natalie Lumsden, Craig Nelson, Dougie Boyle, Kaleswari Somasundaram, Jo-Anne Manski-Nankervis, Jon Emery

JMIR Cancer 2025;11:e65461