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Table 1 Types of clinical and workforce data

From: The clinically led worforcE and activity redesign (CLEAR) programme: a novel data-driven healthcare improvement methodology

Data type

Data category

Data field examples

Patient activity data

Demographic data

Gender, racial/ethnic origin, age, Lower Layer Super Output Codes (LSOA), GP practice code, etc.

Clinical data

Patient investigations, diagnosis, and treatment data: vital signs, patient observations, investigation types and results, medical specialty, etc.

Patient flow data

Patient attendance, referrals, admissions, outcomes, time stamps, locations, type of contact etc., including patient and episode numbers (or equivalent)

Clinical coding data

Relevant clinical classifications and coding (diagnosis, procedure, consultant codes, frailty, clustering codes, etc).

Workforce data

Workforce composition data

Volume and types of staff position and roles, qualifications, rota details, contracted hours, shift time, etc.

Finance data

Staff. bank and agency spend, locum spend, administrative costs, etc.