What if a single piece of technology could improve patient healing rates by 35%—without adding extra work for clinicians?
That’s exactly what Swift Medical is proving with their AI-powered wound care platform. With over 30 million wound assessments and 40+ peer-reviewed studies, their solution integrates directly into existing EHR workflows, predicts complications before they happen, and enables providers to deliver faster, safer care.
In this episode, we uncover how founder partnerships, evidence-based AI, and seamless integration are transforming wound care from a hidden problem into a proactive part of recovery.
In this episode, you’ll learn:
🔑 Why wound care is one of healthcare’s most overlooked challenges
🔑 How AI is predicting complications before they escalate
🔑 The importance of interoperability in healthcare tech adoption
🔑 Why trust—not features—drives clinical adoption
🔑 How partnership accelerates market penetration for healthtech startups
Timestamps:
00:00:00 – Introduction: Why tech approval is more than just tech.
00:03:20 – Wounds as a critical yet overlooked issue.
00:05:43 – How wound care evolved over 25 years.
00:08:55 – Educating patients and providers with tech.
00:13:03 – Spotlighting healthcare domains.
00:17:57 – Evidence-based AI and clinical trust.
00:21:54 – Learning from 10 years of trial and error.
00:25:01 – Value-based care and patient outcomes.
00:28:00 – Navigating value-based ecosystems.
00:30:10 – Data capture challenges across systems.
00:31:59 – Wound care as an underestimated challenge.
00:32:54 – Six key points recap.
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