In real-world clinical settings, medical decisions are rarely linear. They evolve through the interlinked and dynamic interactions of context, data, and constraints. Physicians make high-stakes decisions under immense pressure, where there is no room for blind spots or bias.

However, existing EHR architectures were built for billing and claims. They capture the outcomes of clinical thinking rather than the critical and opaque reasoning process behind them.

The HIMSS23 theme, "Health that Connects, Tech that Cares," highlighted the importance of patient-centered practices that connect information, technology, and policy, emphasizing human-centeredness, quality, and interoperability. As forward-thinking tech companies proudly show off their achievements in ChatGPT and generative AI, healthcare providers are taking a more cautious and evaluative approach, assessing potential impacts and necessary responses. What breakthroughs can we expect at the intersection of these perspectives in the coming years?