Source: https://tendernation.io/opportunities/01a13c55-e090-7104-a1a1-a7ada419903c/provision-of-risk-stratification-tool

awarded GB open procedure

# Provision of Risk Stratification Tool

[NHS Arden and Greater East Midlands Commissioning Support Unit](https://tendernation.io/buyers/nhs-arden-and-greater-east-midlands-commissioning-support-unit)

Estimated value

Not stated

Published

6 May 2021

Deadline

Closed

16 Nov 2020

## Who can bid

- Open procedure

    Anyone can submit a full tender; there is no shortlisting stage.

## About this tender

NHS Arden & GEM CSU seeks competitive offers for the supply, installation, support and maintenance of Risk Stratification Algorithms within a Tool. The period covered will be 2 years (with an option to extend for a further 1 years) on a call off contract. The total cost should not exceed £410k for 24 months with prices paid for usage per head of population.

Currently our risk stratification covers a population of just over 1million with the potential to increase to 3.9 million population.

Briefly the two main use cases are:

Patient level risk stratification - The outputs will be used by clinicians for supporting direct patient care. Each patient's overall morbidity and risk of particular outcomes is produced.

Population level risk profiling - The outputs will be used by non-clinical staff for population health purposes. Disease prevalence and morbidity distribution across the wider population is produced which can be used to inform planning, benchmarking and service redesign activities.

The Risk Stratification algorithms will be applied within an AGEM tool for the purpose of identification of impactable individual patients and cohorts of patients for clinical intervention and the provision of segmented data for the generation of analytical insight.

## CPV classification

Analytical, scientific, mathematical or forecasting software package

Source

Contracts Finder (UK)

[View official notice](https://www.contractsfinder.service.gov.uk/notice/29379736-2f14-4627-9b0d-6471ffc3d1fb)

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