About Tech in Rehab

Exploring technology. Understanding evidence. Advancing rehabilitation.

Technology is changing the way rehabilitation is delivered, measured and experienced. From virtual reality and robotics to artificial intelligence and digital therapies, new solutions are creating opportunities for rehabilitation professionals and the people they support.

Tech in Rehab is an editorial platform dedicated to exploring these innovations and the research behind them.

Our goal is to make rehabilitation technology easier to discover, understand and evaluate.

We bring together emerging technologies, scientific research, practical insights and industry developments to help rehabilitation professionals stay informed and make better decisions.

We believe technology should support and extend clinical expertise, not replace it.

What you'll find here

Research & Evidence

Accessible summaries of published research, highlighting key findings, limitations and potential implications for rehabilitation practice.

Technology & Innovation

Insights into emerging digital rehabilitation technologies, from VR and robotics to AI, wearables and cognitive rehabilitation tools.

Guides & Comparisons

Practical resources to help professionals explore, evaluate and compare rehabilitation technologies based on their features, evidence and applications.

Industry Insights

News, events, emerging trends and perspectives from the evolving rehabilitation technology landscape.

Our editorial approach

We aim to make complex information accessible without losing scientific accuracy or critical perspective.

Our editorial process follows a few key principles:

  • Evidence first. Our research draws on recognised scientific databases, systematic reviews and clinical guidance. Depending on the topic, we consult sources such asPubMed,Cochrane,PEDro and theWorld Health Organization, alongside original peer-reviewed publications.
  • Traceable sources. We link to original studies wherever possible, identify relevant findings and limitations, and distinguish established evidence from preliminary research or expert opinion.
  • Human oversight. AI tools may support research, drafting and content production, but published content undergoes human editorial review.
  • Clinical accuracy. Clinical interpretations and healthcare-related claims are reviewed by appropriately qualified professionals when required.
  • Balanced perspectives. We explore both the opportunities and limitations of emerging technologies.
  • Transparency. We disclose relevant professional affiliations, potential conflicts of interest and relationships with technology providers.

Where published studies include formal assessments of evidence certainty, we report those assessments rather than assigning unsupported ratings ourselves.

Our relationship with Rehametrics

Tech in Rehab is a personally owned editorial project developed with contributions from professionals who also work at Rehametrics, a company specialising in digital rehabilitation technology.

Tech in Rehab receives no direct financial funding from Rehametrics. However, contributors employed by the company provide expertise, time and work-related resources to support the project.

We disclose these professional relationships so readers can understand potential conflicts of interest.

Our coverage extends beyond Rehametrics to the broader rehabilitation technology landscape, including technologies, research and solutions from different organisations.

How we approach product comparisons

When reviewing or comparing rehabilitation technologies, we aim to provide factual, balanced and useful information.

Our comparisons use clearly defined criteria and publicly available or otherwise verifiable information. We identify relevant sources, explain limitations and indicate when information was last reviewed.

When content discusses Rehametrics or competing products, relevant affiliations and commercial interests are disclosed.

We welcome factual corrections and feedback from the companies and professionals featured in our content.

Corrections & feedback

Accuracy matters to us.

If you identify an error, outdated information or a claim that needs clarification, please contact us at [editorial contact email].

Material corrections will be identified with an update date and an explanation of what changed.

Meet the team

  • Daniel D'Auria

    AI, Web Engineering & Technology Research

    Researches new technologies and how innovations from gaming and other industries could shape the future of rehabilitation.

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  • Magdalena

    Digital Strategy & Editorial Direction

    Shapes the editorial direction, connecting emerging technology trends with their potential impact on healthcare and rehabilitation.

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Both contributors are employed by Rehametrics. Their professional affiliations are disclosed as part of our commitment to transparency.

Clinical review team

Our clinical reviewers bring healthcare expertise to Tech in Rehab, helping ensure that research findings and technology insights are interpreted accurately and remain relevant to rehabilitation practice.

  • Carmen

    Clinical Neuropsychologist

    Specialises in neurorehabilitation and cognitive rehabilitation, with hands-on experience treating acquired brain injuries and neurological conditions.

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  • Noelia

    Physiotherapist

    Brings a physiotherapy perspective to the clinical review of rehabilitation technologies and their use in patient care.

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Tech in Rehab publishes educational and informational content. It does not provide medical advice or replace professional clinical judgment.