Day 2: October 17th, 2024

9:00 – 10:30Session 5 – Plenary 2 – Artifical Intelligence in heathcare and research 

This session aims to highlight and discuss the implications and fast changing developments across AI technology and regulations:

  • For healthcare practitioners using assistive and autonomous AI to deliver care and the role of practitioner autonomy and decision-making
  • For patient access to quality care and the autonomy, and the rising anxiety against data bias
  • For researchers to understand regulatory position to reuse data and the risks of working with data analytics, where data bias may exist, and incomplete data may result in AI skewing results.

10:30 – 11:00 – Coffee Break

11:00 – 12:30 Workshops Sessions

11:00 – 12:30 Session 6 – Workshop 3 – Tutorial : MDR & AIA (with ResMed) 

11:00 – 12:30 Session 7 – Panel Discussion 2 – Informed consent including AI Transparency 

This panel discussions aims to highlight and explore the role of informed consent in large scale data processing for machine learning and AI development and its impact across a range of stakeholders:

  • For healthcare providers to support their services and whether informed consent is implicit in the provision of care.
  • For patients to have transparency on how their data is being used and re-used in treatment and to power future machine learning.
  • For researchers to understand the scope of informed consent and the requirements to be explicit about how data is used, re-used, stored and handled for clinical trials and development purposes.
  • For industry to apply diligence and best practice in developing their products including discovery, drugs, treatments, software, and tech-enabled devices.
  • For DPOs to ensure that all data processing remains lawful, secure, and transparent whilst protecting data subject rights and governance standards.

11:00 – 12:30 Session 8 – Panel Discussion – Standardization of Impact Assessments (DPIA + AI)

Data Protection Impact Assessments are a mandatory part of clinical trials and represent a significant workload for project teams. Moreover, they will need frequently to integrate the assessment of the Artificial Intelligence systems used for the processing of personal health data.

In this workshop we will show how these assessments can be standardized to reduce workload and improve quality.
We will present some of the tools that can be used in this process.
The integration of Artificial Intelligence systems assessments will be discussed

12:30 – 14:00 – Lunch

14:00 – 15:30 Workshops Sessions

14:00 – 15:30 Session 9 – Panel Discussion 3 – Ethics, AI & personal data in health care

14:00 – 15:30 Session 10 – Panel Discussion 4 – Anomymization, pseudonymization, synthetic data (Legal)

14:00 – 15:30 Session 11 – Work Shop 4 – Anomymization, pseudonymizatio, synthetic data (Technical)

15:30 – 16:00 – Coffee Break

16:00 – 17:30 

Session 12 – European Health Date Space

This session aims to highlight those measures in the EHDS regulation that are expected to have implications for DPOs:

  • matters that healthcare organisations will need to have robust approaches to inform patients about, collect consent or opt out choices about
  • matters that regional and national health agencies will have to orchestrate through their healthcare providers and to engage with the public about
  • matters that data users such as clinical research will need to take account of

18:00 – 19:00 – Networking Cocktail followed by Cocktail & Dinner