# Designing for the Possible: Human Factors, Innovation, and Data

Page: https://stenobird.com/podcast/the-architecture-of-healing-7580303/designing-for-the-possible-human-factors-innovation-and-data
Text version: https://stenobird.com/podcast/the-architecture-of-healing-7580303/designing-for-the-possible-human-factors-innovation-and-data.md
Podcast: [The Architecture of Healing](https://stenobird.com/podcast/the-architecture-of-healing-7580303)
Published: 2025-12-17T04:00:00+00:00
Episode link: https://thearchitectureofhealing.com/podcast/designing-for-the-possible-human-factors-innovation-and-data/
Audio file: https://traffic.libsyn.com/secure/49b550db-c240-44a0-8f8c-b5b50d8b2e2c/Erica_Parker.mp3?dest-id=5070140
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JSON: https://stenobird.com/v1/public/podcasts/the-architecture-of-healing-7580303/episodes/designing-for-the-possible-human-factors-innovation-and-data
Duration seconds: 2751

## Resource

Healthcare innovation is moving faster than ever, but speed doesn't always equal progress. In this episode, Chase Miller sits down with Erica Parker, a human factors leader whose career spans healthcare architecture, product design, and enterprise innovation at Memorial Sloan Kettering and MD Anderson. Together, they explore how human factors and human-centered design help healthcare organizations evaluate emerging technologies, reduce risk, and implement AI in ways that truly improve patient and staff experience. This conversation challenges the assumption that more technology is always better, and offers a grounded framework for leaders navigating the future of healthcare innovation. Key Topics Covered What human factors really means in healthcare—and why it's often misunderstood Lessons from speculative design and the Breaking Through competition Why many "innovative" healthcare technologies fail to scale The difference between radical, disruptive, incremental, and adjacent innovation How AI can unintentionally increase cognitive load and operational risk Why education, staffing, and workflow readiness matter as much as technology Governance, intake, and lifecycle management of AI in healthcare systems Evaluating vendors, pilots, and emerging tools responsibly The risks of automating human connection out of healthcare Why ambient listening, AI agents, and automation require clearer expectations The future of healthcare data—and what patient ownership could unlock Key Takeaways Just because a technology can do something doesn't mean it should —especially in high-reliability healthcare environments. Human factors bridges the gap between innovation and safe, effective implementation. Constraints drive better innovation —incremental improvements often create the greates…

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