Lipids and QOF: Practical Delivery in PCNs (Virtual)

Disclaimer:This meeting has been sponsored through funding by Daiichi Sankyo UK.  Daiichi Sankyo UK was not involved in the organisation of the meeting. The educational session has been developed independently by Professor Fuat.This event is intended for UK healthcare professionals only

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WEBINAR

THIS EVENT IS OPEN TO UK REGISTERED HEALTHCARE PROFESSIONALS ONLY

Location: Microsoft Teams



Event Agenda

Time AgendaSpeaker
19:00-19:05Introduction CliniLink
19:05-19:20Daiichi-Sankyo Alex Bailey
19:20-20:20Understanding the QOF lipid indicators – what is measured, how success is defined, and how PCNs can deliver targets consistently using a whole-team approach.
From guidelines to practice – practical strategies to optimise lipid management in primary care, including identifying eligible patients, treatment intensification, and effective follow-up pathways.
Prof Ahmet Fuat
20:20-21:00Q&A and CloseProf Ahmet Fuat

Why Attend This Webinar?

Achieving lipid targets remains a key priority for Primary Care Networks, yet translating QOF indicators and national guidance into consistent, real-world delivery can be challenging. With increasing workload pressures and growing cardiovascular risk across populations, PCNs need practical, efficient approaches that support both patient outcomes and performance targets.

Lipids and QOF: Practical Delivery in PCNs is designed to bridge the gap between guidance and day-to-day practice. This session focuses on how lipid management fits within QOF, how to identify and manage eligible patients at scale, and how multidisciplinary teams can work together to deliver high-quality, measurable care.

The webinar will explore practical approaches to case finding, treatment optimisation, follow-up, and coding, helping PCNs maximise impact while working within existing resources.

By attending this session, participants will be able to:

  • Understand the current QOF lipid indicators and how they apply in routine primary care.

  • Identify patients who require lipid optimisation using population health and recall strategies.

  • Apply guideline-aligned treatment pathways to improve cholesterol outcomes.

  • Embed consistent lipid management across PCN teams, including pharmacists, nurses, and GPs.

Key Benefits

This CPD-accredited webinar will provide healthcare professionals with:

  • Practical delivery insight – clear, actionable approaches to meeting lipid QOF indicators.

  • Improved confidence – translating lipid guidelines into everyday clinical decisions.

  • PCN-focused solutions – supporting scale, consistency, and quality improvement across practices.

Attendees will gain the tools and confidence to deliver effective lipid management, support cardiovascular risk reduction, and strengthen QOF performance within their PCNs.

Additional Information

  • The webinar will be recorded and made available to all subscribers.

  • CPD certificates will be issued to attendees.

  • The Teams link can be accessed via your CliniLink account (please ensure you are logged in).



Meet the Speaker

Professor Ahmet Fuat

PhD, FRCGP, FRCP, FRCPE ,FESC, FPCCS, PGDiP Cardiology
Professor Ahmet Fuat is an experienced GP and cardiology specialist with over 37 years in primary care. He pioneered the UK’s first integrated heart failure clinic, holds a PhD in heart failure, and is an Honorary Professor at Durham University. He has contributed to national and international CVD guidelines, served as President of the PCCS, and is currently Medical Director at Oberoi Consulting. He leads on digital CVD care tools, mentors clinicians, and remains active in research, education, and policy advisory roles. He is currently the National Programme Director for CliniLink.

Event Partners

Disclaimer:This meeting has been sponsored through funding by Daiichi Sankyo UK.  Daiichi Sankyo UK was not involved in the organisation of the meeting. The educational session has been developed independently by Professor Fuat.This event is intended for UK healthcare professionals only