⌛ Why there is a time and a place for AI in healthcare – and what those are.
Last week our CEO, Isaac Park, spoke with Michael Vizard at Techstrong TV about where AI can bring value to healthcare, and where it should be left out.
A few stand-outs from the chat:
Use the right tool for the right job (fewer sledgehammers 🔨 , fewer nuts 🥜 ): Isaac explains that there is a time and a place for using LLMs, but also plenty of places where they don’t add a lot of value. “It’s way faster to use a calculator for math than it is to ask chat”. Deterministic, rules-based work still belongs to classic software, not free-form LLMs.
Unstructured data is the gold mine: Isaac likens LLMs to “a calculator for text,” finally letting us read, reorder and reason over mountains of free-text EHR notes in seconds. Think faster chronic-disease evidence hunts and auto-generated clinical summaries.
Augment > replace: Agent workflows will reshape jobs before they erase them. With clinician shortages already biting, the bigger win is letting existing teams go “bigger, faster, stronger” instead of cutting head-count.
Security + orchestration matter as much as model size: From PHI protection to agent-to-agent hand-offs, healthcare’s adoption curve will hinge on trust and tooling, not just GPU counts.
ROI still needs a calculator of its own: Before we spend $1.5 M on GPUs to replace two $50 k roles, we’d better map the economics end-to-end.
🎥 Catch the full conversation for the deeper dive, and let us know: what you’re excited to see AI do in healthcare.
The Future of AI in Healthcare: Opportunities and Challenges with Isaac Park