Using AI responsibly and ethically for enhanced clinical care and outcomes

Healthcare is moving towards a digital ecosystem with advanced insights, powered by big data and AI, enabling systems to shift from secondary care into primary care and the community.  Responsible AI in clinical care is the practice of using AI solutions that are ethical, accountable, and aligned with patient safety, privacy, fairness, and transparency. It requires data traceability, bias management, code transparency, patient consent, human oversight, equity, and regulatory compliance.  Today, many of the data elements needed to support the creation of AI models are unstructured, such as    genomic/molecular, financial, lifestyle, and behavioral.

Key Takeaways:

• The promise of AI  in clinical care and challenges we are facing
• Digital solutions and its impact to help ignite transformative change in healthcare
• Key business &  regulatory considerations for responsible AI in clinical care
• 5 Guiding Pillars when adopting AI in healthcare

Host: Anwar Khan, Global Healthcare Sector Technology Leader, KPMG US

Subject Matter Experts:

• Kerry McGrough, Head of Healthcare, KPMG Asia Pacific
• Evan Rawstron, Partner and National Sector Leader, KPMG Australia
• Beccy Fenton, Global Co-Lead, Care System Redesign KPMG UK