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Monday 21 June 2021
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Hope Building, Salford Royal

Salford Royal partners with Validic on new integrated care model with personal health data

Salford Royal NHS Foundation Trust, one of the most innovative and digitally-advanced Trusts in the UK, announces a partnership with Validic, the industry’s leading data connectivity platform to develop a new model of integrated care for the NHS.


The partnership will enable the integration of patient-generated health data from in-home medical devices, wearable technology and consumer health apps into the Electronic Health Record (EHR). The goal of this initiative is to identify how the integration of this data yields a measurable difference in patient care, outcomes and engagement.


In September Salford Royal was awarded £10m as a centre of global digital excellence, to pioneer innovative and re-vamped approaches to digital services, with a heavy emphasis on remote services. Through this partnership with Validic, Salford Royal will start integrating fitness and sleep data to pilot its use and value within the EHR. Long term, this partnership will enable the Trust to bring in the full spectrum of clinical, fitness, biometric, lab, and lifestyle data available via Validic’s 400 device and application connections.


Salford Royal is one of the first healthcare organisations to pilot the use of real-time patient-generated health data for care and research in the UK. This initiative could have broad impact. A recently released study said one of NHS’ remote services could save 25 million clinic visits by people who are on stroke management, which could free up not only patient time, but also care team resources.


Validic CEO Drew Schiller said, “Salford Royal is making personal health data actionable and valuable to both providers and patients by enabling access to the needed insights and context. By placing a focus on preventative and personalised care, Salford Royal is pioneering how data are used to improve the affordability and accessibility of healthcare.”


Data will also be aggregated into a database, which clinicians and researchers can use to identify trends, correlations, and causations. For example, researchers will be able to correlate sleep and heart rate data to identify new care methods for weight and diabetes management – enabling patients greater control to self-manage their condition and offering doctors insight into how a patient’s lifestyle impacts their health and disease state. This dynamic, in which patients receive their data back contextualised and doctors have an opportunity to treat patients holistically, creates an accountable care model.