Clinical Risk Management in AI (Advanced Training)
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Clinical Risk Management in AI (Advanced Training)

In-person, practical course on AI clinical risk management. CPD Accredited | DCB0129/0160 | ISO14971

By Newton's Tree

Date and time

Wed, 22 May 2024 09:30 - 17:00 GMT+1

Location

The Royal Society of Medicine

1 Wimpole Street London W1G 0AE United Kingdom

Refund Policy

Contact the organiser to request a refund.
Eventbrite's fee is nonrefundable.

Agenda

9:30 AM - 10:00 AM

Arrival

Meet and greet the participants and trainers over a cup of coffee.

10:00 AM - 10:30 AM

Opening Keynote: The importance of clinical risk management in AI and interact

Haris Shuaib

An overview of the critical role that clinical risk management plays in the deployment and development of AI technologies in healthcare settings.

10:30 AM - 11:30 AM

Recap of clinical risk management processes: analysis, evaluation, and control

A recap of DCB0129, DCB0160, and ISO14971, explaining their importance, differences, and how they apply to AI in healthcare.

11:30 AM - 12:00 PM

Introduction of two case studies - diagnostic AI and LLM-based AI

Brief overview of two case studies of AI deployment in preparation for afternoon

12:00 PM - 1:00 PM

Networking Lunch

A chance to discuss the morning's learning, share insights, and network with peers over lunch.

1:00 PM - 2:30 PM

Workshop 1: Clinical risk management of a diagnostic AI system

Group-based exercises for analysis, evaluation, and control of clinical risks

2:30 PM - 3:00 PM

Coffee Break

3:00 PM - 4:30 PM

Workshop 2: Clinical risk management of a LLM-based AI system

Group-based exercises for analysis, evaluation, and control of clinical risks

4:30 PM - 5:00 PM

Next steps and close

An overview of how to operationalise an effective clinical risk management system for AI in your organisation

About this event

  • 7 hours 30 minutes

Clinical Risk Management in AI (Advanced Training) - CPD Accredited

Date: Wed 22 May 2024, all day

Location: London

Audience: Clinical Safety Officer (Healthcare/Industry), Developers, Product Managers

Trainers: Haris Shuaib (NHS and Industry CSO), other colleagues

Outcomes: Confidence in applying clinical risk management standards (DCB0129, DCB0160, ISO14971) in clinical AI projects.

Join us for a day of learning and networking at our in-person event focusing on clinical risk management in AI. Our expert speakers will share their knowledge and insights, providing you with valuable takeaways to implement in your own practice. Don't miss out on this opportunity to enhance your skills and stay ahead of the curve in AI technology.

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Organised by

Newton's Tree

We believe that to deliver healthcare sustainably we need to be able to radically reimagine healthcare delivery through the large scale adoption of safe and effective AI technologies, and that includes providing training to share our expertise.

£250