Expert System

We are keen to explore the use of artificial intelligence to help us in targeting inspection resources. We want to develop tools that help inspectors come to decisions about whether a particular aspect of care is of sufficient concern to trigger an inspection.

We are particularly interested in an expert system approach, which would help our inspectors make an assessment of the existing data, then obtain and add data in proportion to any lack of certainty about quality or changes in quality. We need to develop exemplar systems, which give us the ability to work through the health and social care sectors.

We believe the most appropriate approach is to focus on specific aspects of the regulatory model to conduct a proof of concept and see if this is possible for CQC. This may be as narrow as a single prompt under a key question, or may be broader.

The approach would involve interviewing our CQC experts (inspection managers, inspectors or analysts) and organizing the information into a collection of rules. The aim is that the expert system would draw deductions from the rules and may in turn query the user.

An expert system could continue to 'learn' from the answers it is given. Additional information: The full specification of the requirement is set out in the Statement of Requirements of the tender document available at CQC e-Sourcing Portal: https://cqc-commercial.bravosolution.co.uk If your organisation does not already have an account on the portal, please select 'Register Free' and complete the company information to request a user name and password.

On receipt of your account details, you may search for this opportunity by project name and select 'Register Interest'. Please allow sufficient time to make your return as late returns will not be permitted by the system.