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NHS Early Intervention Program

What is the program?

Verily is collaborating with NHS Heywood, Middleton and Rochdale Clinical Commissioning Group (“HMR CCG”) and Merck Sharp & Dohme Limited (“MSD”) on a NHS England Test Bed project aimed at improving care for people with long term conditions. Using data analytics and predictive modelling, the goal of the program is to identify earlier patients who either have, or are at risk of developing, certain chronic conditions and to help healthcare providers better manage these conditions and reduce unplanned hospitalization. More information about the project can be found here.

How are you making it happen?

This program is part of a wider NHS ‘test bed’ initiative to study the real world impact of new technologies on service delivery and patient care. Currently, there are 15 million people in England living with long term conditions such as COPD, type 2 diabetes, and heart failure, and early identification can significantly improve patient outcomes and reduce the long term financial burden associated with these diseases. By combining MSD’s suite of healthcare tools and Verily’s risk-prediction algorithms within the NHS Heywood, Middleton and Rochdale Clinical Commissioning Group system, the team will work to generate predictive disease models for chronic conditions in order to help health care providers to identify at-risk patients earlier, and to offer more personalized intervention measures.

Verily will seek to use advanced analytical tools to develop insights from pseudonymised (or non-identifiable patient) data that the NHS can use to identify cohorts of patients for screening and interventional services. The goal of this program is to help practices identify potentially vulnerable patients earlier, so that they are able to intervene sooner. As a test bed for innovation, this program aims to both improve patient outcomes within the wider Greater Manchester area and, if successful, generate knowledge and tools that could be used broadly by the NHS, for improved health and care across the system.

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