Please join the waiting list for this one day Cambridge Cardiovascular event.
Programme
|
Session/ location |
Title |
Speaker/ facilitator |
Time |
|
Registration, refreshments (Foyer) |
|
|
9:30am |
|
Introduction (Elena Hall) |
Welcome to Cambridge Cardiovascular and introduction to the workshop |
Prof James Rudd
|
10:00am |
|
Session 1 (Elena Hall) |
Applications of risk prediction modelling |
|
|
|
|
Cardiovascular risk modelling in Clinical Practice, Success and Challenges
|
Prof Frank Visseren, University Medical Centre Utrecht |
10:10am |
|
|
How Many Models Make It? A Quantitative Look at the Predication Pipeline |
Prof Luc Smits, Maastricht University |
10:35am |
|
Break (Lounge) |
|
|
11:00am |
|
Session 2 (Elena Hall) |
Methods in risk prediction modelling I |
|
|
|
|
Prediction Under Intervention: Challenges and Trade-Offs |
Dr Matthew Sperrin, University of Manchester |
11:25am |
|
|
Making Routine Care Data Actionable: Phenotyping and Risk Prediction in Cardiovascular Care. How can we move from large-scale EHR analyses to changes in care delivery? |
Dr Alicia Ujil, Amsterdam University Medical Centre
|
11:50am |
|
Discussion groups* |
|
|
12:15pm |
|
Group 1 (Elena Hall) |
How can we engage policy-makers to facilitate translation of risk prediction models into practice? |
Dr Lois Kim
|
|
|
Group 2 (Elena Hall) |
Are we developing too many risk scores, and are they too complex? (consider, for example: what are the implications for LMIC? Are we contributing to research waste?) |
Prof Emanuele Di Angelantonio
|
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|
Group 3 (Elena Hall) |
How can we best communicate risk model outputs to (a) patients and (b) clinicians? |
Dr Holly Pavey
|
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|
Group 4 (Elena Hall) |
How should we decide where to set the threshold for intervention based on risk model output? |
Stelios Boulitsakis Logothetis
|
|
|
Group 5 (Foyer) |
Should we be developing more universal models or more setting-specific models? Is recalibration useful? |
Dr Lisa Pennells
|
|
|
Group 6 (Lounge) |
How should we assess the clinical impact of risk prediction models? What are appropriate outcome measures for clinical impact studies, and what should be the control condition? |
Prof Niels Peek
|
|
|
Lunch (Sibilla Room) |
|
|
1:00pm |
|
Session 3 (Elena Hall) |
Methods in risk prediction modelling II |
|
|
|
|
TBC |
Prof Angela Wood, Cardiovascular Epidemiology Unit, University of Cambridge |
2:00pm |
|
|
A Critical View on the Use of Electronic Health Records for Clinical Prediction Modelling |
Dr Kym Snell, University of Birmingham |
2:25pm |
|
Break (Lounge) |
|
|
2:50pm |
|
Session 4 (Elena Hall) |
AI and equity in risk prediction modelling |
|
|
|
|
Artificial intelligence for electronic health records: a focus on cardiovascular diseases |
Dr Shishir Rao, University of Oxford |
3:15pm |
|
|
Guidance for Unbiased predictive Information for healthcare Decision making and Equity (GUIDE): considerations when race may be a prognostic factor |
Prof David Kent, Tufts Medical Centre/ Tufts University (joining remotely) |
3:40pm |
|
Closing remarks (Elena Hall) |
|
Prof Niels Peek |
4:05pm |
|
End |
|
|
4:15pm |
*Note that discussion groups will run in parallel for the whole duration of the pre-lunch session. You will have the chance to either stay in one group for the whole 45 minutes or to swap at the bell and join a maximum of 3 groups.
Academic organisers: Stelios Boulitsakis Logothetis, Dr Lois Kim, Dr Holly Pavey, Prof Niels Peek, Dr Lisa Pennells
