Phio Access rated the leading physiotherapy app

Phio Access given star rating by independent reviewer.

The Organisation for the Review of Heath and Care Applications (ORCHA) gave Phio Access an overall score of 89%. That places our clinically-led digital musculoskeletal triage support tool firmly in the top one percent of digital health apps globally.

Industry figures show that 85% of health and care apps fail to meet quality thresholds. An independent assessment can empower health and care professionals to make informed decisions.

The review process encompassed more than 300 measures and identified which criteria points the app met across Clinical/Professional Assurance, Date & Privacy, and Usability & Accessibility. The review comprises nationally recognised digital health standards and regulations and an adapted version of the NICE Evidence Standards Framework. 

ORCHA’s evaluation results

Phio Access achieved 96% in the Professional Assurance category and an impressive 82% in the Usability & Accessibility category, with testers highlighting the clear support feature for app users, with the ability to contact EQL via the app. 

The score of 80% for Data & Privacy acknowledged that patients are clearly able to understand what their data is collected for, how it’s used and how it’s protected.

Peter Grinbergs, EQL’s Co-founder and Chief Medical Officer, said: ”We’re very proud of this review, it’s compelling evidence that solidifies both the clinical acumen and usability of Phio Access. At EQL, we aim to improve efficiencies through the power of technology and innovation, whilst ensuring clinical robustness."

Standardising assessment frameworks in digital health

“We are keen to move the healthcare industry forward in adopting technology and a major part of that is ensuring there is a standardised assessment framework for the evaluation of tech-based solutions for health, diagnosis, triage or treatment decisions,” explains Peter.

EQL successfully campaigned for and founded an AI for MSK medicine topic group as part of the ITU/World Health Organisation focus group on AI for health. 

The topic group is dedicated to establishing standardised benchmarking guidelines and potentially creating a prototype of a benchmarking platform for artificial intelligence (AI) and machine learning (ML) application in MSK medicine. 

It focuses on the application of AI and ML in creating prevention strategies, triage (in particular identifying urgency), diagnosis, prognosis and treatment of MSK conditions. 

Approaches include computer vision (CV), augmented and virtual reality (AR/VR) and natural language processing (NLP)/understanding.