Utilising patient generated health data
Funded Twin Fellowship projectWorking towards data-driven care: Exploring new methods and new technologies to optimise secondary care clinical dashboards presenting patient-generated health data and predictive analytics
Twin Fellows
Project core team
Rosie Barnett
Dr Amberly Brigden
Hub Research theme
Smartphone and wearable technologies
Hub Researcher(s) in Residence
Miquel Perello Nieto
Nawid Keshtmand
Background
Chronic health conditions are often managed in secondary care services that are facing long waiting lists, limited appointment times, and financial pressures. With the increasing availability of mobile devices including smartphones and wearables, patients can collect vast amounts of patient-generated health data (PGHD) outside of the clinic. This includes symptoms, biometrics and treatment adherence, providing clinicians with a more complete picture of patients’ health.
This data has the potential to support more insightful patient-clinician collaboration based on lived experiences; to enable remote clinical review; and ultimately, to improve the efficiency and quality of care.
Intended outcomes
Clinicians and patients have expressed significant interest in using PGHD to manage their health, yet most attempts to review this data in clinic are unsuccessful. Mr Wragg’s and Professor Sengupta’s project will investigate this problem with a case study in axial spondyloarthritis (axSpA) care.
The team will create a model of how the axSpA care pathway works, including activities, data, and outcomes. They will then evaluate the use of a PGHD dashboard in axSpA care, to understand the barriers surrounding its uptake and impact across all parts of the model. From this, they will create a framework that will enable the systematic evaluation of complex dashboards in real-world clinical workflows.