Evidence base

Research and trust

Healthcare AI buyers should demand evidence, not demos. Our positions trace back to trusted, specialized sources. Below is the curated library behind our advisory work, organized by theme.

Adoption

Uptake of Generative AI Integrated With EHRs in US Hospitals

JAMA Network Open / PMC

  • Survey of 2,174 nonfederal US hospitals.
  • 31.5% reported using generative AI in 2024.
  • 24.7% planned to use generative AI within one year.
  • More than half of US hospitals likely implement generative AI by end of 2025.
  • Some hospitals are adopting without complete safeguards.

Supports urgency and readiness assessment positioning.

Governance

Aligning the Healthcare AI Ecosystem

Stanford HAI / JAMA Summit Report

  • AI is transforming health and healthcare rapidly.
  • There is little consensus or structure for evaluation, regulation, implementation, and monitoring.
  • Alignment is needed between developers, health systems, payers, regulators, and patients.

Supports governance, monitoring, and independent advisory need.

Clinical safety

Future Ready Healthcare 2026

Wolters Kluwer

  • 52% of patients use AI to research health conditions.
  • 74% of patients trust AI-generated answers but expect doctors to validate them.
  • 77% of clinicians validate AI-generated health information because of bias, hallucination, and misinformation risk.
  • 92% of doctors and 90% of nurses believe clinical AI outputs should be validated by a human expert-in-the-loop.
  • 90% of physicians and nurses identify efficiency-enhancing technology as a top trend.

Supports trust, validation, clinical-grade AI, and human oversight positioning.

Workforce transformation

AI Workforce Transformation

SullivanCotter

  • AI will produce first drafts of notes, summaries, and orders.
  • Clinicians will focus more on validation, interpretation, and decision-making.
  • Administrative functions will see faster ROI because work is rules-based and measurable.
  • AI literacy and responsible-use principles should become formal workforce capabilities.

Supports workforce planning and AI literacy offer.

Legal and regulatory

Discussion of the Utah AI Prescription Renewal Pilot

University of Illinois College of Law / NEJM

  • Utah launched a 12-month pilot in January 2026 allowing AI to independently renew certain prescriptions.
  • Applies to nearly 200 chronic-condition medications.
  • Raises legal and ethical issues around FDA authorization, misbranding, and autonomous prescribing.

Supports regulatory risk tracking and legal review positioning.

Market context

Five Trends Defining Healthcare in 2026

Oak HC/FT

  • Voice AI becomes more widespread in consumer healthcare use cases.
  • Analytical orchestration helps finance and operational teams query performance.
  • In-silico drug design moves from proof of concept toward practical development.

Supports expanded vendor categories and frontier market mapping.

We cite the source and its key finding whenever a number appears in our public materials. We do not publish fabricated logos, testimonials, partnerships, or statistics. Full source notes live in docs/research_sources.md.

Assess your readinessTalk to an advisor