AIMC Topic: Patient Participation

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Digital Health Technologies: Learnings and Perspectives From a Patient Engagement Stakeholder Expectations Matrix Study.

Journal of medical Internet research
As digital health technologies become increasingly integrated into health care systems worldwide, there is growing recognition that their full potential can be realized only when development is rooted in patient engagement (PE). Despite its proven va...

Human-centered AI in healthcare: empowering patients and support persons in clinical decision-making.

BMC medical informatics and decision making
Artificial intelligence (AI) has emerged as a promising tool to enhance medical practice and improve patient outcomes. However, introducing AI in interactions between patients, support persons (SPs) and physicians may create real or perceived informa...

Ten years on: how far have we come in patient engagement in diagnosis?

Diagnosis (Berlin, Germany)
The 2015 National Academy of Sciences, Engineering and Medicine report, Improving Diagnosis in Medicine, is known for its inclusive approach to patients. This paper explores the evolution of research in patient engagement in diagnosis over the past d...

Integrating Patient Perspectives Into the Digital Health Technology Readiness Framework: Delphi Study.

Journal of medical Internet research
BACKGROUND: Digital health technologies-including mobile applications, telemedicine platforms, artificial intelligence, and eHealth tools-are transforming health care delivery by enhancing access, personalization, and efficiency. However, traditional...

Patient-centered research in radiology: A Canadian perspective.

Clinical imaging
This article examines the importance of patient-centered research in radiology with an emphasis on incorporating the patient perspective to improve patient-reported outcomes (PROs) and research relevance. The methods for effective patient engagement ...

[Participatory approaches in the development of AI applications in medicine: opportunities and challenges].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
The increasing integration of artificial intelligence (AI) in healthcare not only holds the potential for efficiency gains, personalized medicine, and evidence-based decisions but also raises ethical and social challenges, such as bias, lack of trans...

The Evolution of Patient Empowerment and Its Impact on Health Care's Future.

Journal of medical Internet research
In the 21st century, health care has been going through a paradigm shift called digital health. Due to major advances and breakthroughs in information technologies, most recently artificial intelligence, the patriarchy of the doctor-patient relations...

Generative AI-Enabled Therapy Support Tool for Improved Clinical Outcomes and Patient Engagement in Group Therapy: Real-World Observational Study.

Journal of medical Internet research
BACKGROUND: Cognitive behavioral therapy (CBT) is a highly effective treatment for depression and anxiety disorders. Nonetheless, a substantial proportion of patients do not respond to treatment. The lack of engagement with therapeutic materials and ...

Robot-Assisted Approach to Diabetes Care Consultations: Enhancing Patient Engagement and Identifying Therapeutic Issues.

Medicina (Kaunas, Lithuania)
: Diabetes is a rapidly increasing global health challenge compounded by a critical shortage of diabetes care and education specialists. Robot-assisted diabetes care offers a cost-effective and scalable alternative to traditional methods such as trai...

Artificial intelligence and science of patient input: a perspective from people with multiple sclerosis.

Frontiers in immunology
Artificial intelligence (AI) can play a vital role in achieving a shift towards predictive, preventive, and personalized medicine, provided we are guided by the science with and of patient input. Patient-reported outcome measures (PROMs) represent a ...