Search Articles

View query in Help articles search

Search Results (1 to 10 of 11 Results)

Download search results: CSV END BibTex RIS


Empowering Health Care Actors to Contribute to the Implementation of Health Data Integration Platforms: Retrospective of the medEmotion Project

Empowering Health Care Actors to Contribute to the Implementation of Health Data Integration Platforms: Retrospective of the medEmotion Project

The med Emotion project was a collaborative initiative among 3 hospitals (Jessa Ziekenhuis, Noorderhart, and Ziekenhuis Oost-Limburg), 2 academic institutions (Hogeschool PXL, and UHasselt), and 2 industry partners (LRM, and Bio Ville) from the region of Limburg, Belgium.

Marcel Parciak, Noëlla Pierlet, Liesbet M Peeters

J Med Internet Res 2025;27:e68083

Collaborative Development of Feedback Concept Maps for Virtual Patient–Based Clinical Reasoning Education: Mixed Methods Study

Collaborative Development of Feedback Concept Maps for Virtual Patient–Based Clinical Reasoning Education: Mixed Methods Study

In this study, we aimed to develop a collaborative process for creating feedback concept maps in VP-based CR education. From this, we derive the following research questions: (1) What are the similarities and differences of concept maps for teaching CR that have been created by individual health professionals and groups? (2) What themes emerge when health professionals are asked to jointly create a concept map in a consensus workshop? (3) What are the challenges and benefits of such consensus workshops?

Anja Mayer, Inga Hege, Andrzej A Kononowicz, Anja Müller, Małgorzata Sudacka

JMIR Med Educ 2025;11:e57331

Development of the Big Ten Academic Alliance Collaborative for Women in Medicine and Biomedical Science: “We Built the Airplane While Flying It”

Development of the Big Ten Academic Alliance Collaborative for Women in Medicine and Biomedical Science: “We Built the Airplane While Flying It”

We chose to cast a broad net for the collaborative development and included institutions from all 19 prior, current, and future universities in the BTAA (Table 1). This BTAA collaborative of women in medicine and biomedical sciences would enable similar-sized universities to share effective programming and resources and work together to address academic gender inequity. The BTAAa institutions. a BTAA: Big Ten Academic Alliance. b ETF: external task force. c Historical member. d New BTAA member.

Maya S Iyer, Aubrey Moe, Susan Massick, Jessica Davis, Megan Ballinger, Kristy Townsend

JMIR Form Res 2025;9:e65561

Using a Digital Mental Health Intervention for Crisis Support and Mental Health Care Among Children and Adolescents With Self-Injurious Thoughts and Behaviors: Retrospective Study

Using a Digital Mental Health Intervention for Crisis Support and Mental Health Care Among Children and Adolescents With Self-Injurious Thoughts and Behaviors: Retrospective Study

Moreover, DMHIs that use the collaborative care model, in which behavioral care is integrated with primary medical care, are particularly effective for the treatment of mental health problems in children and adolescents [19,29-32]. Despite the demonstrated potential of collaborative care DMHIs and the increasing need for mental health care among children and adolescents presenting with SITBs [33], most commercially available DMHIs exclude those who exhibit such symptoms and may refer them to EDs [34-37].

Darian Lawrence-Sidebottom, Landry Goodgame Huffman, Aislinn Brenna Beam, Kelsey McAlister, Rachael Guerra, Amit Parikh, Monika Roots, Jennifer Huberty

JMIR Form Res 2024;8:e54816

Electronic Health Record–Oriented Knowledge Graph System for Collaborative Clinical Decision Support Using Multicenter Fragmented Medical Data: Design and Application Study

Electronic Health Record–Oriented Knowledge Graph System for Collaborative Clinical Decision Support Using Multicenter Fragmented Medical Data: Design and Application Study

Collaborative research networks such as the Observational Health Data Sciences and Informatics (OHDSI) offer valuable insights into addressing this issue [27,28]. These networks use local analysis results from various institutions, aggregating models, or summarizations to enhance generalizability and mitigate bias. Collaborative research does not necessarily require the centralization of original data, thus ensuring data security.

Yong Shang, Yu Tian, Kewei Lyu, Tianshu Zhou, Ping Zhang, Jianghua Chen, Jingsong Li

J Med Internet Res 2024;26:e54263

Dashboards to Support Implementation of the Quebec Alzheimer Plan: Evaluation Study With Regional and Professional Considerations

Dashboards to Support Implementation of the Quebec Alzheimer Plan: Evaluation Study With Regional and Professional Considerations

For dashboard development, we used a collaborative approach [42] at the core of learning health system approaches. Such an approach can lead to more relevant, efficient, and sustainable results than a more traditional approach in terms of development and problem-solving in the relevant communities and organizations [43]. In collaboration with the ministerial advisor and the four project managers of the QAP, we selected a format and relevant indicators for this exercise.

Genevieve Arsenault-Lapierre, Alexandra Lemay-Compagnat, Maxime Guillette, Yves Couturier, Victoria Massamba, Isabelle Dufour, Eric Maubert, Christine Fournier, Julie Denis, Caroline Morin, Isabelle Vedel

JMIR Form Res 2024;8:e55064

Improvements in Adolescents’ Disordered Eating Behaviors in a Collaborative Care Digital Mental Health Intervention: Retrospective Observational Study

Improvements in Adolescents’ Disordered Eating Behaviors in a Collaborative Care Digital Mental Health Intervention: Retrospective Observational Study

The collaborative care model is a team-based framework for mental health care that has been used by DMHIs with promising results. In the collaborative care model, primary care providers collaborate with behavioral care managers (BCM) and other providers to implement measurement-based mental health care. Collaboration between providers reduces the burden on primary care providers while ensuring optimal, evidence-based care via regular symptom assessments.

Landry Goodgame Huffman, Darian Lawrence-Sidebottom, Aislinn Brenna Beam, Amit Parikh, Rachael Guerra, Monika Roots, Jennifer Huberty

JMIR Form Res 2024;8:e54253

Implementing Remote Collaboration in a Virtual Patient Platform: Usability Study

Implementing Remote Collaboration in a Virtual Patient Platform: Usability Study

A review found that collaborative features enabling students to communicate within learning environments were still limited in medical education [19]. Compared to the large number of studies investigating individual clinical reasoning, only a few studies have investigated the application of collaborative learning (meaning that two or more people learn together, benefiting from one another's resources and skills) to clinical reasoning [19,20].

Jan Kiesewetter, Inga Hege, Michael Sailer, Elisabeth Bauer, Claudia Schulz, Manfred Platz, Martin Adler

JMIR Med Educ 2022;8(3):e24306