The Hidden Layer Every Healthcare AI Solution Is Missing

InnovationThe Hidden Layer Every Healthcare AI Solution Is MissingByDavid Lareau,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 27, 2026, 09:30am EDTDavid Lareau is CEO of Medicomp Systems, which makes medical data relevant, usable and actionable. getty​Sit in on any healthtech vendor pitch to a health system this year, and the pattern becomes impossible to miss: Nearly every solution on display has been wrapped in some form of AI. Whether ambient documentation, chart summarization, coding support or clinical search, the race to ship AI-enabled clinical products has accelerated. But it has also exposed a failure point most teams are working around rather than solving: There is no structured, validated clinical knowledge layer beneath the model.​Without that layer, outputs vary based on context, patient population and the quality of the underlying data. The same query can produce different answers on different days. A diagnosis inferred from an ambient transcript may be plausible in one chart and inappropriate in another. A summary can sound authoritative while simultaneously omitting the clinically relevant negatives that shaped the clinician’s reasoning. These are the outputs clinicians cannot act on with confidence, and it’s also why so many AI pilots stall short of enterprise deployment.​The industry is beginning to recognize what this missing piece represents, calling it deterministic AI, a clinical knowledge graph, a validated reasoning layer or a clinical data foundation. The label matters less than the function. The underlying idea is that probabilistic large language models (LLMs), on their own, cannot be trusted with decisions that affect patient safety, reimbursement and regulatory standing.They require a deterministic foundation of curated clinical knowledge: a structured representation of clinical concep...