Patient Data Award

EDM Healthcare Consulting

The need for timely, effective information in healthcare is key to realising the benefits of the huge investments in NHS staff and buildings. This award will recognise the most innovative introduction of new technology for secure  storage, retrieval and distribution of data throughout the NHS.

2019 Winner

NHS Arden & GEM CSU - Population Health Management System
Arden & GEM’s advanced analytics team has developed a population health management (PHM) approach, using segmentation and matrix modelling, that also evidences the benefits of implementing new models of care and ways of working upon the health and well‐being of the registered population. A clinically validated High‐Level Segmentation Model (HLSM) was created, driven by linking data sets from acute, mental health and inpatient community services from over 470,000 local records, which accounts for 48 per cent of the registered patient population.

Patient Data Award 2019 Winner: NHS Arden & GEM CSU - Population Health Management System

Commended

Royal Cornwall Hospitals Trust - RADAR PRISM
NHS Doncaster Clinical Commissioning Group - Web based Analytics
Midlands Partnership NHS Foundation Trust - Robotic Process Automation
Nottingham University Hospitals NHS Trust - Digital Outpatient Project


2016 Winner

Royal Cornwall Hospital Trust

Patient Data Award 2016 Winner: Royal Cornwall Hospital Trust

RADAR (RCHT Analysis Data and Reporting) has been in development for the last eighteen months at RCHT. The business intelligence tool’s modules produce live reports, such as number of patients in the Emergency Department and number of occupied beds, informing the patient flow team and on-call managers and driving decision making based on the most up to date information. RCHT was named as one of the top trust’s in the country for completeness of data on the NHS Digital Maturity Index.

Commended
Derby Teaching Hospitals NHS Trust
East of England Ambulance Service NHS Trust (EEAST)
The Christie NHS Foundation Trust
South Warwickshire NHS Foundation Trust


2015 Winner

University Hospitals of Leicester NHS Trust


Datasets developed by the winning Trust help to create predictive models that will aid future allocation of resources. The Paediatric Observation Priority Score, or POPS, quickly scores acutely ill children on a combination of risk identifiers,which can enable a hospital's capacity to be predicted 24 hours in advance.

2015 Commended
Bath and North East Somerset CCG
NHS Arden & GEM CSU
Poole Hospital NHS Foundation Trust