Advancement in technologies and scientific platforms have enabled personalized approaches that acknowledge the future of healthcare shouldn’t be “one-size-fits-all”. Jen, Mindy, and Ryan discuss the drivers behind this innovation, and the impact on both the practice and development of therapeutics. The episode opens with a discussion of what’s sparking this demand for personalization (00:45) and key enablers of this future-state in healthcare, including the availability of data (01:57), connections across data sources (02:35), widespread automation (05:38), and proactive treatment (06:58). The potential of personalization isn’t limited to treatment paradigms alone – it can also be seen in how those treatments are developed and delivered (08:32). Precision medicine initiatives have seen early returns (10:12), particularly in oncology (10:27). Development of CAR-T and gene therapies are pushing individualization of therapeutics even further (11:47) – but there are key clinical (12:19) and developmental (13:56) challenges to be overcome in scaling the delivery of these treatments. As the shift toward personalization continues, healthcare leaders should be considering the strategic value potential, organizational resourcing, and required change management (17:25).
Podcast Tags: healthcare, personalization, precision medicine, AI, machine learning, data, gene therapy
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Mindy McGrath, Healthcare Industry Learning Lead
Ryan Hummel, Head of Provider Sector
Jen Burke, Healthcare Industry Strategist