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Toward a Conceptual Framework for Digitally Supported Communication, Coordination, Cooperation, and Collaboration in Interprofessional Health Care: Scoping Review

Toward a Conceptual Framework for Digitally Supported Communication, Coordination, Cooperation, and Collaboration in Interprofessional Health Care: Scoping Review

Previous D4 C models, such as the 3 C Collaboration Model to guide the development of groupware and the Collaboration Space Model to support the development of technology for collaboration purposes, lack a nuanced framework on the distinctions and intersections of communication, coordination, cooperation, and collaboration to enhance design and evaluation of D4 C tools [14,15].

Kim Nordmann, Marie-Christin Redlich, Michael Schaller, Stefanie Sauter, Florian Fischer

J Med Internet Res 2025;27:e69276

Barriers to and Facilitators of Implementing Team-Based Extracorporeal Membrane Oxygenation Simulation Study: Exploratory Analysis

Barriers to and Facilitators of Implementing Team-Based Extracorporeal Membrane Oxygenation Simulation Study: Exploratory Analysis

We implemented simulation-based ECMO training to improve interprofessional collaboration through increased communication and enhanced teamwork. Moreover, the intention of the simulation training was to strengthen collaboration skills and increase confidence in providers to work through emergency scenarios. The specific aim of the study was to understand the impact of our simulation training approach on interprofessional collaboration.

Joan Brown, Sophia De-Oliveira, Christopher Mitchell, Rachel Carmen Cesar, Li Ding, Melissa Fix, Daniel Stemen, Krisda Yacharn, Se Fum Wong, Anahat Dhillon

JMIR Med Educ 2025;11:e57424

Decentralized Management of Home Care Services for Seniors: Protocol for a Participatory Action Research

Decentralized Management of Home Care Services for Seniors: Protocol for a Participatory Action Research

The specific objectives, in collaboration with local HCS stakeholders, are to (1) identify concrete and achievable strategies for decentralized management, and (2) describe factors (facilitators and obstacles) that could potentially influence their integration.

Virginie Savaria, Johanne Queenton, Annie Carrier

JMIR Res Protoc 2025;14:e58271

Targeting Key Risk Factors for Cardiovascular Disease in At-Risk Individuals: Developing a Digital, Personalized, and Real-Time Intervention to Facilitate Smoking Cessation and Physical Activity

Targeting Key Risk Factors for Cardiovascular Disease in At-Risk Individuals: Developing a Digital, Personalized, and Real-Time Intervention to Facilitate Smoking Cessation and Physical Activity

In addition, content development sprints are performed; a short period with intensive collaboration between a technical and psychological expert to develop a dialog (refer to Approach 6 section for more details). All content included in the Perfect Fit intervention has been developed through an iterative feedback process by numerous stakeholders within (eg, academics from various backgrounds) and outside (eg, professionals) the Perfect Fit research team.

Anke Versluis, Kristell M Penfornis, Sven A van der Burg, Bouke L Scheltinga, Milon H M van Vliet, Nele Albers, Eline Meijer

JMIR Cardio 2024;8:e47730

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

Developing a distribution component and online subgraph structure to facilitate the collaboration of intermediate reasoning findings across multiple centers. This initiative addresses data privacy concerns and enhances local systems with the capability for multicenter collaboration. An application study was conducted to evaluate the system’s effectiveness in assisting clinicians in detecting undiagnosed CKD in patients who visited multiple hospitals.

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

J Med Internet Res 2024;26:e54263

A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study

A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study

A crucial determinant for successfully implementing the human-AI collaboration approach is decision transparency [32,33], which is often referred to as explainability. Explainability is the concept that an ML model’s prediction can be explained in a way that human operators can comprehend and reconstruct the model’s reasoning [33].

Hongbo Chen, Eldan Cohen, Dulaney Wilson, Myrtede Alfred

JMIR Hum Factors 2024;11:e53378

Continuing Medical Education in the Post COVID-19 Pandemic Era

Continuing Medical Education in the Post COVID-19 Pandemic Era

Collaboration and open communication are fundamental factors throughout all stages of the CME. Course directors and speakers will need allocation of time away from their usual clinical practices to develop and take part in the event. Nonclinician support (program manager, CME specialist, public relations specialist, audiovisual experts, and other administrative staff) will also be needed. Depending on the size of one’s institution and the proposed CME, many of these roles could be combined.

Debra Blomberg, Christopher Stephenson, Teresa Atkinson, Anissa Blanshan, Daniel Cabrera, John T Ratelle, Arya B Mohabbat

JMIR Med Educ 2023;9:e49825

Cocreation to Facilitate Communication and Collaboration Between Multidisciplinary Stakeholders in eHealth Research and Development: Case Study of the CARRIER (Coronary Artery Disease: Risk Estimations and Interventions for Prevention and Early Detection) Consortium

Cocreation to Facilitate Communication and Collaboration Between Multidisciplinary Stakeholders in eHealth Research and Development: Case Study of the CARRIER (Coronary Artery Disease: Risk Estimations and Interventions for Prevention and Early Detection) Consortium

For that reason, multidisciplinary collaboration is considered fundamental to the advancement of e Health R&D [9,12]. Nevertheless, multidisciplinary collaboration does not occur effortlessly or without barriers as stakeholders may have contrasting levels of power and interest, which can lead to different objectives, priorities, and expectations [11,13,14].

Elizabeth Latuapon, Laura Hochstenbach, Dominik Mahr, Bart Scheenstra, Bas Kietselaer, Marieke Spreeuwenberg

JMIR Hum Factors 2023;10:e45006