Delegates put their knowledge to the test and elevated their expertise by working through real-life scenarios.
Designed for Healthcare Professionals with a solid foundation in FreeStyle Libre systems data interpretation, this expert-led online training provided an in-depth and strategic approach to analysing CGM data in complex cases. Participants challenged themselves with advanced case studies and refined their skills to improve clinical outcomes.
With thanks to our industry partner: 
3.5 hours of Continuing Professional Development: what delegates learned
The first part of this valuable learning forum featured clinical evidence updates and data interpretation skill-building tips, delivered through case-based learning and interactive polling. In the second part of the morning, delegates had the opportunity to choose two out of four specialised workshops that focused on data interpretation skills for diet and exercise, pregnancy, managing illness and navigating comorbidities.
Delegates were asked to choose two of the following workshops:
Workshop 1: Data interpretation for diet and exercise management - This workshop is now fully booked. Please select from the remaining available options.
Workshop 2: Clinical guidance for illness
Workshop 3: Data interpretation for comorbidities including CVD, CKD and ketoacidosis This workshop is now fully booked. Please select from the remaining available options.
Workshop 4: Effectively utilising CGM as part of a pregnancy-specific hybrid closed-loop (HCL) system
Each workshop provided dedicated time with an expert to work through complicated real-life scenarios to develop your practical understanding of data interpretation.
Developed with convenience in mind: attendees joined this interactive, online course remotely
Packed with examples of best practice, interactive discussions and ‘how to’ advice, this course provided the participants with all the elements to engage with the day:
- Meeting each other – turning on your videos and microphones in the breakout rooms
- Listening and watching presentations and speakers’ Q&A – in the main course room with your chair
- Taking part in facilitated interactive sessions – enabled by moderators in the breakout rooms
- Feeding back and engaging – using the chat box and moderators sharing content in the main room
Those in attendance enhanced their data interpretation ability - and returned to their service inspired to provide improved, patient centred care.
With thanks to Abbott Diabetes Care Division
SBK Healthcare would like to thank Abbott Diabetes Care Division for sponsoring this unique interactive forum.
| 8.30 |
Registration and opportunity to network
|
| 9.00 |
Chair’s opening remarks, introductions and instructions
Anna Dover, Consultant Diabetologist, Edinburgh Centre for Endocrinology and Diabetes, NHS Lothian
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| Advances in FreeStyle Libre technology for complex requirements | |
| 9.10 |
Key developments: recent clinical trials and their findings explained
Dr Emma Wilmot, Associate Professor and Honorary Consultant Diabetologist, University of Nottingham and University Hospitals of Derby and Burton NHS Foundation Trust
|
| 9.35 |
Questions and answers with your speakers
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| Establishing multifaceted data interpretation skills | |
| 9.40 |
Interactive presentation: Applying data interpretation skills to complex, real-world scenarios
Through the use of polls, the speaker will walk you through 3 case-based examples to support your understanding of data interpretation.
Dr Iain Cranston, Consultant Physician (Diabetes & Endocrinology), Portsmouth Hospitals NHS Trust
|
| 10.05 |
Questions and answers with your speaker
|
| 10.10 |
Meet Abbott
|
| 10.20 |
Screen break
|
| 10.30 |
Meet the expert workshops: Complicated data interpretation case studies
This is your opportunity to benefit from dedicated time with an expert to work through real-life scenarios, to solidify your practical understanding of data interpretation. You will be asked to choose two of the following workshops upon course booking (if you don’t let us know your preferred choice, you will be randomly allocated): Workshop 1: Data interpretation for diet and exercise management Dr Alistair Lumb, Consultant in Diabetes and Acute General Medicine, OCDEM, Oxford University Hospitals NHS Foundation Trust Workshop 2: Clinical guidance for illness Dr Iain Cranston, Consultant Physician (Diabetes & Endocrinology), Portsmouth Hospitals NHS Trust Workshop 3: Data interpretation for comorbidities including CVD, CKD and ketoacidosis Professor Ramzi Ajjan, Professor of Metabolic Medicine, University of Leeds and The Leeds Teaching Hospitals NHS Trust Workshop 4: Effectively utilising CGM as part of a pregnancy-specific hybrid closed-loop (HCL) system Professor Helen Murphy, Professor of Medicine (Diabetes and Antenatal Care), Norwich Medical School, The University of East Anglia |
| 11.30 |
Screen break
|
| 11.40 |
Meet the expert workshops: Comprehensive data interpretation case studies
This is your opportunity to benefit from dedicated time with an expert to work through real-life scenarios to solidify your practical understanding of data interpretation. Workshops will repeat and you will attend your second choice of workshop: Workshop 1: Data interpretation for diet and exercise management Dr Alistair Lumb, Consultant in Diabetes and Acute General Medicine, OCDEM, Oxford University Hospitals NHS Foundation Trust Workshop 2: Clinical guidance for illness Dr Iain Cranston, Consultant Physician (Diabetes & Endocrinology), Portsmouth Hospitals NHS Trust Workshop 3: Data interpretation for comorbidities including CVD, CKD and ketoacidosis Professor Ramzi Ajjan, Professor of Metabolic Medicine, University of Leeds and The Leeds Teaching Hospitals NHS Trust Workshop 4: Effectively utilising CGM as part of a pregnancy-specific hybrid closed-loop (HCL) system Professor Helen Murphy, Professor of Medicine (Diabetes and Antenatal Care), Norwich Medical School, The University of East Anglia |
| 12.40 |
Close of forum
|
Bringing a wealth of expertise and knowledge
Your expert speakers shared their top data interpretation hints and tips, and the latest in FreeStyle Libre system developments:
Dr Anna Dover
Consultant Diabetologist
Edinburgh Centre for Endocrinology and Diabetes, NHS Lothian
Who came?
Attendees benefitted from expert lead training to develop their approach to understanding FreeStyle Libre systems and complicated data interpretation scenarios. This course was perfect for healthcare professionals who specialise in diabetes, and included:
- Diabetes Specialist Nurses
- Diabetes Diabetologist or Endocrinologists
- Dietitians
- Pharmacists
- Psychologists
- Diabetes Midwives
- Registrars
- Diabetes Team Leads
Past Attendee Feedback
Attendees booked their place to benefit from inspiring speakers, comprehensive learning, and the opportunity to refine their skills through practical working. Take a look at how past participants enjoyed our previous FreeStyle Libre courses sponsored by Abbott Diabetes Care Division:
With special thanks to our sponsor
Abbott’s Diabetes Care Division is committed to helping people manage their diabetes and achieve their best health outcomes with innovative technology, such as the FreeStyle Libre 2 system.
Why sponsor?
Our role at SBK Events is to bring industry together with healthcare professionals so that you can educate and inform your audience. These trail-blazing diabetes delivery forums offer dedicated presentations, Q&A, networking and discussion time, each sponsor will be fully immersed into the event and able to effectively engage with your NHS audience.
Interested in having your own event, managed by us?
SBK Events also provides in-house forums. Working closely with you as the client we can research, produce, market and deliver the conference or online forum that best suits the audience and meets your goals.
Reach out today
If you would like more information on our sponsorship options an in-house forum or if you wish to discuss your needs and what solutions may be appropriate for your business, please contact:
Sarah Kemm
Contact: 01732 897788
Email: sarah.kemm@sbk-events.co.uk