Building AI for Healthcare With Nicola K. and Dr. George Kerin

Episode 8: Dr. George Kerin & Nicola Kerin – AI in Healthcare, Clinical Workflows & The Future of Patient Care

Dr. George Kerin and Nicola Kerin, founders of Dorsum AI, share how their AI-powered platform is transforming clinical workflows for doctors across Australia. From consultation notes and referrals to the entire administrative workflow, they’re rethinking how healthcare should operate in a modern system. This conversation explores what’s broken in healthcare administration, where AI actually makes a meaningful difference, and what the future looks like when technology works alongside clinicians.

Key Topics & Timestamps:

0:00 – Introduction to Dawon AI and the future of clinical workflows

1:20 – Meet Dr. George and Nicola: backgrounds in medicine and tech

3:45 – The origin of Dawon AI: solving real clinical admin pain points

6:10 – Early challenges building AI scribes in healthcare

9:00 – Accuracy issues: medical terminology, transcription, and localisation

11:30 – Beyond scribes: automating the full clinical workflow

14:20 – Before, during, after: rethinking the entire consult journey

17:10 – Admin bottlenecks and the power of simple automation

20:00 – AI vs automation: what actually needs AI (and what doesn’t)

23:15 – Resistance to change in clinics and healthcare systems

26:00 – Building with users vs “blitzscaling” tech products

29:10 – The reality of outdated systems: fax machines and inefficiencies

32:40 – Risk, errors, and flaws in current healthcare tech systems

35:20 – Data privacy, security concerns, and AI adoption barriers

38:10 – Can doctors use AI safely? The legal and ethical grey areas

41:30 – Australia vs global systems: innovation and bureaucracy

45:00 – Financial pressures in healthcare and why efficiency matters

48:20 – Questioning “why”: challenging legacy processes in medicine

51:10 – The future vision: real-time AI-assisted clinical care

55:00 – Reducing admin burden and giving doctors time back

58:10 – The risk of delayed documentation and patient impact

1:01:20 – Change management: why adoption is harder than innovation

1:04:00 – AI in practice: improving doctor-patient interaction

1:07:10 – Emergency care, risk, and the role of AI documentation

1:10:30 – What “Happy Healthcare” means: timely access and reduced friction

1:14:00 – Final reflections on the future of healthcare and AI

Key Takeaways:

  • AI can solve real healthcare problems, but only when built with clinicians
  • Outdated workflows persist not from necessity, but from resistance to change
  • Technology should give doctors time back to focus on patients
  • Australia lags in healthcare AI adoption compared to other countries
  • The future is seamless automation across the entire patient journey

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