Episode 19 · Season 2
Jeff Gombala from Helios and Evidexa on AI behavioral models, digital twins, and shaping patient experience
► How can digital twins, AI-powered behavioral modeling, and simulations help in forecasting real behaviors in healthcare?
In the latest episode of The Dev is in the Details, Jeff Gombala – a product leader with expertise in digital health innovation and health tech – explains what behavioral models are, their impact in reshaping customer and patient understanding, and how simulations become the next generation of research.
We talk about the healthcare industry, the level and pace of AI adoption, and the operational and clinician-related barriers and risks it entails. Jeff shares his views on regulatory aspects, managing patient data, and leveraging AI as an augmentation.
In a highly regulated industry such as healthcare, with patients’ journeys complex and deeply personal, the role of AI is not to replace, but to empower clinicians and healthcare professionals to deliver high-quality care faster, yet safely.
► Our guest
Jeff Gomabala is a technology expert working at the intersection of digital health, behavioral science, and patient experience. Jeff is a co-founder and CEO at Helios Innovation Labs, helping healthtech innovators move faster from concept to real outcomes, and a co-founder of Evidexa, the first simulation platform improving healthtech adoption.
Timeline & show notes
00:00:00 | Jeff’s story on how he cofounded Helios and Evidexa
00:04:11 | Staging and testing environments in healthcare
00:06:47 | What are digital twins, how to design them, and how to build attributes on the population
00:13:54 | Take on the strongest demand currently in AI and behavior insights in healthcare
00:17:13 | Data licensing, the reusability of data samples, anonymity, and regulatory aspects
00:24:12 | Pathways as the B2C experience
00:29:02 | The common barriers businesses face when trying to adopt AI in their research or products
00:32:50 | Validation and evidence paradox in healthcare
00:35:51 | Avoiding biases in AI healthcare systems
00:46:15 | Treating AI as the augmentation, not the replacement
00:52:05 | Data duplication and simplifying the patient journey
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