NHS 111 Discovery frailty flagging: Difference between revisions

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{{CaseStudy
{{CaseStudy
|[[File:Frailty_graph_Apr2022.png|right]]The NHS 111 Discovery frailty flagging project utilises Discovery data to flag key information to NHS 111 call handlers to improve the patient pathway and experience, and reduce the unnecessary use of emergency services and admission to A&E.
|[[File:Frailty_graph_May2022.png|right]]The NHS 111 Discovery frailty flagging project utilises Discovery data to flag key information to NHS 111 call handlers to improve the patient pathway and experience, and reduce the unnecessary use of emergency services and admission to A&E.


Since the project went live in November 2018, the Discovery Data Service has:
Since the project went live in November 2018, the Discovery Data Service has:

Revision as of 10:36, 1 June 2022

Project Summary

Frailty graph May2022.png

The NHS 111 Discovery frailty flagging project utilises Discovery data to flag key information to NHS 111 call handlers to improve the patient pathway and experience, and reduce the unnecessary use of emergency services and admission to A&E.

Since the project went live in November 2018, the Discovery Data Service has:

  • matched 2,00,740 patients
  • flagged 122,763 potentially frail patients
  • processed 7,702,363 API calls

The graph shows the number of patients that have been flagged as potentially frail and have therefore been fast tracked to speak directly to a clinician who can provide personalised care; it shows the cumulative total (from the start of the project) and the percentage of potentially frail patients compared to the total number of matched patients (over the last 12 months).

Last update: May 2022

Project population

All patients within North East London; Barking and Dagenham, City and Hackney, Havering, Redbridge, Tower Hamlets, Waltham Forest, and Newham CCGs use a frailty algorithm.

Project cohort

Frail patients

Project criteria

See the frailty algorithm page for more details.

Data state

Patient identifiable

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