Event

PSI Webinar - Statistical Operations Research

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This webinar will address operational issues of paramount importance within the healthcare industry with a view to using statistics for the benefit of patients. In attending this webinar, you'll hear more about work being conducted to address some operational issues we face in the health care industrys e.g. patient rectuitment, drug supply and meeting NHS 18 week targets.

Date: Tuesday 10th March 2020
Time: 13:00 - 15:00 UK Time
Speakers: Suresh Ankolekar (Cytel), David Worthington (Lancaster University), Kirstie McKay (Covance)

To register for this event, please click here.
This webinar is free for PSI Members and £20+VAT for Non-Members.

These 3 presentations address operational issues of paramount importance within the healthcare industry with a view to using statistics for the benefit of patients.
 
Suresh Ankolekar, Cytel
Suresh has been actively involved in modelling many aspects of clinical trials. Failure to meet subject recruitment targets in clinical trials continues to be a widespread problem with potentially serious scientific, logistical, financial and ethical consequences. During this talk, methods for enrolment prediction using will be outlined leading into methods for optimizing drug supply – two topics which go hand in hand.

David Worthington, Lancaster University
The NHS Constitution sets out that patients should wait no longer than 18 weeks from GP referral to treatment. David will talk about a piece of research based around capacity planning in order to meet the 18-week referral-to-treatment target in conjunction with a Hospital Trust (not specified). 

Kirstie McKay, Covance
Kirstie will speak about enrolment forecasting, also with a focus on assessing and measuring site performance to support study teams make patient and study delivery decisions. What can we do if recruitment is not on track? A key factor for the successful planning and delivery of a clinical trial is how well sites meet their targets in recruiting and retaining participants, and in collecting high-quality, complete data in a timely manner.  
Alongside patient recruitment we may need to monitor and assess when an endpoint study may complete yet what if the endpoints are not tracking as expected? Case studies will be presented during this presentation’
 

 

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