Factor 50
Data-led clinical prioritisation of patient waiting lists for NHS and other healthcare organisations
Highlights
- New on EvolcAdded 2026-11-05
About Factor 50
Factor 50 provides data-led prioritisation, a method that applies clinical risk rulesets automatically and periodically to patient waiting lists. The rulesets are defined with clinicians and give an up-to-date clinical risk assessment for each patient, which supports prioritising patients with the greatest clinical need.
Its customers are healthcare organisations, including NHS providers. The company has worked with Guy's and St Thomas' NHS Foundation Trust on outpatient diabetes follow-up lists, where the risk criteria identified patients to prioritise and patients who could be seen later. The company's work has won awards, including HSJ Digital Award and QiC Diabetes recognition.
Factor 50 was founded in 2018 and is based in Nottingham, United Kingdom. Its leadership includes founders with a background in financial services analytics and a team with healthcare data and analytics experience.
Product: Data-led prioritisation: automated, periodic application of clinician-defined rulesets to patient waiting lists to assess clinical risk.
Jobs at Factor 50
Leadership
- Matt Denman · FounderSource: company website
- Mark Hawkins · Founder, CEOSource: company website
- Mike Matthews · Chief Technology OfficerSource: company website
- Ollie French · Product DirectorSource: company website
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Website technologies
Tools and platforms detected on this company’s website, grouped by purpose. Dates record when Evolc observed them.
Content management
- WixHigh confidence
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- Website resourcedeclared script/iframe or software asset
Frontend frameworks
- ReactMedium confidence
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- Page markupsoftware structure signature
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Monitoring
- SentryHigh confidence
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- Website resourcedeclared script/iframe or software asset
Website detection does not establish a paid subscription or company-wide use. Tools loaded after consent or sign-in may be missed. “No longer observed” does not prove the company stopped using a tool.
