Electronic Health Record (EHR) companies have historically used proprietary formats to lock in customers. AI's ability to read and translate unstructured data from any source effectively breaks these data silos, finally making patient data truly portable.

We possess millions of data points on interventions, but they are useless to AI models because they're trapped in thousands of disparate EMRs in varied formats. The challenge is not generating more data, but solving the human incentive and alignment problems required to create unified data registries.

Datycs proactively converted unstructured data into FHIR resources long before clients were ready to use them. This future-proofed their platform, positioning them ahead of the curve when interoperability regulations finally mandated such standards, eliminating the need for custom APIs.

Unlike industries that digitized organically, healthcare's transition from paper was kickstarted by a massive federal program paying doctors to implement Electronic Health Records (EHRs). This forced, top-down digitization created the essential system-of-record infrastructure that modern health tech companies now build upon.

Unlike typical tech disruption, healthcare often requires collaboration. Startups effectively "rent" distribution and patient access from incumbents. In return, incumbents "rent" cutting-edge innovation from startups, creating a necessary symbiotic relationship.

Recognizing that healthcare is a notoriously difficult market for startups, the administration is actively creating a favorable ecosystem. This includes providing funding, enforcing data sharing, and signaling a desire to work with private sector innovators.

OpenAI is tackling healthcare from three distinct angles: consumers (queries), clinicians (research), and hospital enterprises (integrations). The vision is not just to serve these groups independently but to build a unified platform where synergies emerge, enabling seamless information sharing and solving systemic bottlenecks.

Lassie's ability to automate payments is enabled by a federal mandate forcing healthcare away from paper checks to digital formats. AI startups can find massive opportunities by targeting industries undergoing similar regulatory-driven digitization, which primes the market for automation.

The CEO of Datycs applies lessons from standardizing wireless networks in the 90s to today's healthcare challenges. He compares siloed EHRs to old proprietary cell towers, highlighting how open standards like FHIR can solve a problem that the telecom industry conquered decades ago.