NHS Lothian

Small Business Research Initiative Grant

DL_2023_041

In Scotland, and across the world, the increase in lifespans is leading to an increase in the number of people living with long-term healthcare conditions. This results in reduced quality of life and is a challenge for healthcare systems worldwide which have traditionally been set up to treat single conditions. In an acute care setting, being able to identify key long-term conditions will quickly provide clinicians with the background knowledge on patients, allow them to make time-critical decisions in a better informed manner, and improve the outcomes for patients . Within the DataLoch secure environment we will build a solution which helps clinicians to identify patients with multiple long-term conditions rapidly, apply artificial intelligence to create personalised risk stratifications, better visualise their data, then integrate this with guidelines to support clinical decision making following an emergency department attendance. This solution will be risk assessed before release from this environment. In partnership with NHS Lothian and Health Innovation South East Scotland (HISES) we will then evaluate how the dashboard and AI risk stratification impacts clinical care in a real-world environment.

Benefits for Patients: Currently building an overall picture of a patient and their long-term conditions is challenging and time consuming for clinicians. Our prototype will quickly highlight the information of interest and direct clinicians to where they can find additional supporting data to inform clinical decision making Affected Population who could benefit: All patients attending the emergency department in Lothian, and a wider, population of people in hospital with an acute illness Involvement of end users: Extensive analysis with end users/clinicians (Phase 1) and we will continue to co-design with them in Phase 2 and beyond. Potential benefits for NHS: Speedier and higher quality understanding of a patient’s overall health picture. This will improve clinical decision making and reduce the risk of important pieces of information being missed

Public Health Research

14/12/2023

De-Personalised

TRE