ActiveNCT06881797

Unrecognised Comorbidity Detection in Hospitalised Patients (CODETECT)

Sponsor: University of Oxford

Trial Details

Condition	Diabetes, Atrial Fibrillation (AF), Cardiac Disease
Status	Active
Participants	4,500,000
Est. Completion	30 Nov 2027
Last Updated	19 May 2026

Primary Outcome

Use data to design and use a real-time, digital platform to prospectively validate prediction models to identify hospitalised patients with potentially undiagnosed chronic health problems for at least 2 chronic health problems.

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: * Adults aged 18 years or above. * Admitted to a participating NHS hospital * Registered with a primary care practice Exclusion Criteria: * Has "opted-out" of having their data used for research purposes using the national data opt-out service

Trial Sites

Countries

United Kingdom

View Registry Entry

Related Analysis

CODETECT Study: Digital Platform to Detect Undiagnosed Chronic Conditions in Hospitalised Patients — Implications for Australian Healthcare

The CODETECT study is developing a digital platform to identify undiagnosed chronic conditions in hospitalised patients using routine clinical data. This UK-based research could transform hospital admissions into opportunities for proactive chronic disease detection.

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