Michael Rowe

Associate Professor in Digital Innovation

University of Lincoln

United Kingdom

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About

Michael Rowe is an Associate Professor in Digital Innovation at the University of Lincoln, UK. His research focuses on community-based rehabilitation interventions, clinical reasoning in education, and the integration of artificial intelligence in health sciences. Recent publications include studies on the role of lived experience in physiotherapy education and the application of AI in managing cardiometabolic disorders.

Articles (17)

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2025

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2025

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2023

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2021

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2020

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2020

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2020

Collaborators (2)

Joost van Wijchen

Head of Bachelor Physiotherapy

Western Norway University of Applied Sciences

NORWAY

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Siegfried Mercelis

Assistant Professor & Program Manager Adaptive Intelligence

University of Antwerp

BELGIUM

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Michael Rowe

Research Interests

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About

Articles (17)

Frameworks used to evaluate community-based rehabilitation interventions: A scoping review

Student and educator perspectives on clinical reasoning: A qualitative study

Tutoring for success: Tutors’ experiences of a tutoring programme in a health sciences faculty

Using AI to enhance scientific discourse by transforming journals into learning communities

Peer review (Michael Rowe) - Involving people with lived experience in physiotherapy education – Research report one: Reflecting together to enhance teaching outcomes

Peer review (Michael Rowe) - Involving people with lived experience in physiotherapy education – Research report three: Developing equal partnerships

Peer review (Michael Rowe) - Involving people with lived experience in physiotherapy education – Research report two: Harnessing the expertise of people with lived experience

How to replace a physiotherapist: artificial intelligence and the redistribution of expertise

Peer review (Michael Rowe) - Physiotherapy students’ perception of their clinical learning environment and clinician teaching attributes in Nigeria

Artificial Intelligence and Data-Driven Rehabilitation: The Next Frontier in the Management of Cardiometabolic Disorders

Artificial Intelligence and Data-Driven Rehabilitation: The Next Frontier in the Management of Cardiometabolic Disorders

Introducing Flipped Classroom Supervision: Challenging Physiotherapy Teachers’ Beliefs about Teaching

Peer review (Michael Rowe) - Diagnostic uncertainty in musculoskeletal pain: Implications for physiotherapy education

Introducing Flipped Classroom Supervision: Challenging Physiotherapy Teachers’ Beliefs about Teaching

Using video to learn practical techniques in physiotherapy education

The use of smartphone apps in clinical practice: A survey of South African physiotherapists

Using Internationalisation at Home to provide international learning to all physiotherapy students

Collaborators (2)

Joost van Wijchen

Siegfried Mercelis

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