POPULATION HEALTH ANALYTICS

The ACG System drives analytics, supporting delivery of customized care to those most at risk during COVID-19 pandemic in the UK

October 23rd, 2020
 |  
COVID-19  |  
Risk Stratification & Population Segmentation
The ACG System drives analytics, supporting delivery of customized care to those most at risk during COVID-19 pandemic in the UK

The COVID-19 pandemic has created unprecedented challenges for healthcare providers around the globe. In the UK, the National Health Service (NHS) tasked providers with identifying their highest-risk patients to focus resources where they were needed most. One organization, South-Central & West Commissioning Support Unit (SCW), leveraged the ACG System along with their own in-house expertise to quickly zero-in on the information they needed in a detailed, clinically appropriate way.

How did they do it? The SCW team cross-referenced ACG System data against specific patient vulnerabilities (physical conditions, mental health history, and social/environmental risk factors), dividing the information into three patient age groups. The result? A simple segmentation with an array of information that allowed SCW’s customers to laser-focus on specific subsets of patients. The customers –primary care providers – could slice and dice the information in multiple ways, specifically, to target older adults who had any two of the above listed vulnerabilities.

Ultimately, the ACG System helped SCW and their customers tackle the overwhelming challenges of COVID-19 by breaking the general population of at-risk patients into more manageable groups that could be prioritized accordingly. With this detailed information in hand, primary care providers were able to provide tailor-made support for the specific groups of people that needed it most, upholding their commitment to continuity of care and mitigation of risk for their patients.

Interested in learning more?  Read the case study

Sign up for blog alerts and other insights from the ACG System team
  • Hidden
  • Hidden
  • Hidden
  • Hidden
  • Hidden
  • Hidden
  • This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

  • This field is for validation purposes and should be left unchanged.

Follow Us

LinkedIn Facebook Twitter
LinkedIn Facebook Twitter

© The Johns Hopkins University, The Johns Hopkins Hospital, and Johns Hopkins Health System.
All rights reserved. Terms of Use Privacy Statement

Back to top