382 – Machine learning and patient data: How patient adoption is key to reduce clinical risks and healthcare costs. Ken Saman, Personify Care
In this episode of Talking HealthTech, host Peter Birch is joined by Ken Saman to delve into the transformative effects of digital patient pathways and AI.
Key Takeaways:
Digital patient pathways are emerging as a game-changer in healthcare, allowing for improved patient access and reducing administrative overload on clinical teams.
Bridging the gap between evidence-based research and real-world healthcare settings is critical. Ken discusses how digital libraries of evidence-based pathways can help.
The conversation takes a deeper dive into AI, moving beyond its diagnostic role to explore its increasing importance in patient engagement and administrative functions.
Ken emphasises the critical need for high-quality data. Poor data can make or break AI applications in healthcare, and the necessity for reliable information is non-negotiable.
With healthcare systems facing backlogs and workforce shortages post-pandemic, Ken outlines how technology, particularly AI, offers immediate, effective solutions.
Data-driven personalisation is at the core of modern healthcare. Ken talks about the potential of AI in providing customised healthcare experiences for diverse patient demographics.
Check out the full episode and show notes on the Talking HealthTech website.
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