We have combined in-house technology development with 3rd party offerings to deliver an integrated member experience across their care pathway.
Fully integrated, end-to-end care options offering a digital front door to mental health, telehealth, musculoskeletal (MSK) health and wellbeing supports
Personalised & prevention-focused content check Community, challenges and rewards
Integration to the digital team’s practice management system for a single view of the patient
One-click appointment booking or management
Population health data analytics
A clinically led chatbot, reviewed by a Chartered Physio providing agile, 24/7 remote screening for MSK conditions to increase efficiency and fast-track member care
Powerful MSK decision trees and sophisticated algorithms for more-efficient treatment
Clinically tested, artificial intelligence (AI)–powered ergonomic assessment for office, remote or hybrid teams
Clear, concise and insightful reporting including objective data on absentee drivers, desk pain, burnout risk and more
AI recommendations that empower teams to self-correct, feeding into the Digital Ergo team where needed
Self-management direct from Digital Assess or physio-prescribed rehabilitation programmes
More than 5,000 exercise videos and 3D content
Integrated telehealth for live exercise demonstration
In-app reminders to keep members on track and motivated, and instant messaging for real-time member communication
Real-time outcomes analysis with data benchmarking to engage members needed.
Coming in 2022:
Computer Vision – Human Motion Analysis
Traditionally, there is a lack of accountability during rehabilitation, with physios unable to check whether exercises are performed correctly.
Human motion analysis can transform engagement and compliance by letting you: 1. Define rehabilitation exercises and their proper form2. Instantly track whether exercises are accurately completed with live AI feedback3. Help members track their progress, supersizing motivation
There is no need for sensors: members can use the system on their preferred device (laptop, phone, tablet or TV).
Population Health Analytics 2.0
Identify at-risk or suitable candidates based on analysis of International Classification of Diseases codes in partnership with primary care providers.
Proactively monitor electronic medical record data to identify more-effective or less-invasive care options for GPs.