Learning programme · #P20
A fourteen-module interprofessional practical programme that develops the knowledge and tools to classify, plan, measure, test, audit, evaluate, research, implement and report improvement work safely and credibly across health and care.
Doctors, nurses, pharmacists, allied health professionals, healthcare scientists, managers, quality and safety staff, researchers and other health and care professionals who design, lead, support, interpret or supervise improvement, audit, service evaluation or research.
Certificate process: Integrated final assessment + optional private reflection + course completion certificate
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NHS England quality management systems place improvement alongside planning, control and assurance. This module introduces improvement as disciplined system learning rather than isolated project activity.
A practical method for classifying a proposed project by purpose, question and method so that governance, approvals and evaluation match the work being undertaken.
How to turn concerns into defensible problem statements using data, lived experience, context, equity and organisational priorities.
How to convert a recognised problem into an executable project with a measurable aim, appropriate team, clear scope, charter and explicit theory of change.
Practical system diagnosis using process mapping, human factors, cause analysis, risk thinking and identification of leverage points before intervention.
Designing useful outcome, process, balancing and context measures with operational definitions, denominators, sampling, data-quality and governance controls.
Using data in time order to distinguish signal from noise, understand common and special causes, and avoid misleading before-and-after claims.
Using genuine Plan-Do-Study-Act cycles to make explicit predictions, run small safe tests, learn from results and refine changes before implementation.
Designing a complete clinical audit cycle from defensible standards and sampling through action, re-audit and sustained monitoring.
Evaluating how an existing service performs and why, using appropriate quantitative, qualitative, resource, experience and governance methods without overstating causal conclusions.
Building answerable research questions, choosing suitable methods and navigating UK research governance, consent, scientific validity and proportionate ethical review.
Practical interpretation of counts, rates, distributions, confidence intervals, statistical significance, bias, confounding, qualitative analysis and triangulation.
Moving from successful testing to reliable routine practice, monitoring sustainability and adapting changes responsibly when spreading them to new contexts.
Reporting improvement and research honestly, applying reporting guidance, assigning authorship responsibly, managing conflicts and integrity, and demonstrating real-world impact.
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