AI Governance · Healthcare Strategy
RDH Strategic Advisors helps healthcare leaders govern AI, drive adoption, and connect technology decisions to measurable enterprise value. Clear ownership. Faster decisions. Responsible oversight.
Built for healthcare executives, CIOs, Chief AI Officers, digital leaders, and board-level readers.
Point of view
Healthcare organizations do not have an AI problem first. They have a leadership, ownership, and operating model problem.
AI is already entering healthcare through vendor platforms, pilots, embedded product features, departmental experimentation, and operational workarounds. If governance is slower than adoption, governance becomes optional.
The organizations that succeed will not be the ones with the most pilots. They will be the ones with the clearest model for deciding where AI belongs, who owns it, how risk is monitored, and how value is proven.
Governance decides where AI belongs and who owns it. Adoption proves the value. The organizations that win run both as operating disciplines, not projects.
The governed path must be the fastest credible path.
Free diagnostic
Eight domains, 32 questions, about eight minutes. You get an overall maturity level, a score for every domain, your strongest areas, your biggest gaps, and recommended 90-day actions.
Your answers are scored in your browser and are never transmitted. At the end you can choose to have the report emailed to you.
Publications
Each series gives leaders two things: the boardroom argument and the operating manual. Start with the free executive digest in either series.
For boards, CIOs, and Chief AI Officers. The operating model for deciding where AI belongs, who owns it, and how risk and value are governed.
A concise board-level point of view on why AI governance requires a different leadership and operating model.
Download free →The strategic argument for treating AI governance as the evolution of IT governance: decision rights, accountability, risk, value, and oversight.
View whitepaper →A practical operating guide for standing up AI governance: intake, triage, inventory, decision forums, vendor controls, monitoring, and reporting.
View guide →The full publication set for leaders and teams building an AI governance operating model in healthcare.
Get the bundle →Also free: the Board Oversight Checklist for healthcare AI governance.
For transformation, PMO, and program leaders. The execution discipline that turns approved AI into measured value after go-live.
Why AI adoption breaks under traditional change management, and what boards and CIOs should do in the next 90 days.
Download free →The strategic argument for Minimum Viable Adoption: a lean discipline that preserves what makes change stick and trims the ceremony that does not.
View whitepaper →The operating manual for running Minimum Viable Adoption: assessment, experiment canvas, measurement scorecard, lifecycle ROI, and a 90-day launch plan.
View guide →The full Adoption Series for leaders who need the boardroom argument and the practitioner tools.
Get the bundle →For governance and portfolio leaders who own or review value from major initiatives. Value Governance is an executive accountability framework in design validation: it has been pressure-tested in design review against CFO, COO, CIO, PMO, Finance, Operations, and board-level objections, and it has not been deployed in a live organizational environment or proven to improve value capture outcomes. The materials present a testable design, not a certified result.
Where investment value goes after go-live, and who is supposed to be watching. The accountability gap, the seven-stage value chain, and the two roles that close it.
Download free →The strategic argument for governing value after approval, not just before it: evidence tiers, attribution confidence, and turning confirmed value back into funding capacity.
View whitepaper →The pilot operating guide: materiality thresholds, evidence grading, review cadence, and the four dispositions for a result that misses its case. A design-partner instrument.
View playbook →The briefing, the whitepaper, and the playbook together: the case, the argument, and the instrument.
Get the bundle →Thirteen documents: the full series plus the nine working instruments. Value hypothesis, measurement plan, scorecard, benefits tracking, review cadence, and the dashboard specification.
Get the suite →The complete core curriculum for one reader working alone: the eight-module training manual, five session read-aheads, five participant packs, and five session decks.
View the edition →Also free: the Value Governance Readiness Assessment, eight dimensions scored against your own portfolio.
Advisory
RDH helps leaders translate strategy into operating discipline across governance, digital transformation, portfolio focus, and responsible AI adoption.
Design governance structures, intake paths, risk tiers, decision rights, monitoring routines, and executive reporting models.
Stand up Minimum Viable Adoption for clinical and operational AI: baseline capture, right-sized deployment, champion networks, and lifecycle ROI that measures value after go-live.
Redesign portfolio intake, prioritization, steering forums, and investment review so technology decisions align to enterprise value.
Support CIOs, digital leaders, and executive teams with AI governance briefings, operating model reviews, decision support, and executive messaging.
An 8-domain, 32-question maturity diagnostic returning your maturity level, per-domain scores, gaps, and 90-day actions.
Take the assessmentClient cohorts train and measure at learn.rdhstrategic.com; engagement portfolios run in the Value Governance Console. Your engagement lead has your access details.
Track record
RDH Strategic Advisors is grounded in hands-on enterprise healthcare leadership, not abstract theory.
Reduced non-strategic technology demand by more than 80% through operating-model and intake redesign.
Compressed executive decision cycles through structured domain review and gate-based approvals.
Risk-tiered AI pathways for dozens of clinical, operational, and vendor AI use cases.
Oversight of IT contract portfolios at multi-tens-of-millions scale, capturing meaningful savings.
About
Roderick D. Harris is a strategic healthcare transformation executive and founder of RDH Strategic Advisors, which he leads full time. He most recently served in a senior leadership role at a leading U.S. cancer center. He has more than 20 years of experience leading enterprise transformation, governance redesign, digital modernization, portfolio discipline, and AI governance across complex provider environments.
His work sits at the intersection of strategy, operating model design, technology leadership, and value realization. He helps leaders turn ambiguity into structure, connect technology decisions to enterprise outcomes, and build governance models that improve speed, rigor, and trust.
Contact
For advisory inquiries, executive briefings, AI governance and adoption conversations, speaking requests, or publication feedback.
Prefer email? roderick@rdhstrategic.com · Or connect on LinkedIn.