Adoption Drives Value.
Operator-led healthcare advisory for health systems, AI, SaaS, medtech, and life sciences. We turn technology into adopted workflows and measurable outcomes.
Why Transformation Stalls.
- Workflow is treated as a launch task
- Roadmaps assume capacity that doesn't exist; the clinical day pays the difference.
- Adoption gets designed after go-live
- Champions, reinforcement, and behavior change are bolted on, not built in.
- Governance arrives late
- Evidence bar, escalation, and decision rights show up only when something breaks.
- Value never gets a real model
- Pilots report activity; renewals and boards want clinical, operational, and financial proof.
Workflow Before Technology.
Technology should fit the workflow, not fight it.
Adoption is the asset — not the contract, the go-live, or the pilot deck. Design the technology, the workflow, the governance, and the value story together. Keep them aligned through the first hard quarter.
That's where transformation compounds — or quietly unwinds. RAV exists to make sure it compounds.
Who We Help.
- /01
Health systems & hospitals
Modernization pressure is rising — AI, ambient, workforce, and EHR optimization — while clinician capacity is flat and the cost of a failed bet is high.
How we help → - /02
Provider groups
Independent groups carry the same technology pressure as health systems with less centralized capacity and tighter margins.
How we help → - /03
Healthcare AI & SaaS companies
Selling and shipping isn't the hard part anymore — sustaining adoption, proving value, and protecting renewal is.
How we help → - /04
Medtech & surgical technology
Device, capital, and surgical-tech sales are increasingly conditional on workflow fit, evidence, and post-launch adoption — not just clinical preference.
How we help → - /05
Biopharma & life sciences partners
Partnerships with health systems and provider groups stall when workflow, governance, and value haven't been designed end-to-end.
How we help → - /06
Investors, boards & portfolio leaders
Adoption risk is now the single largest gap between healthcare technology valuation and realized value.
How we help →
Services Built for Adoption.
- /01Flagship
Modern Healthcare IT
Healthcare organizations are adopting more software, SaaS, AI, automation, medtech, and digital tools — but lack the operating model to evaluate, govern, support, measure, and scale them across clinical, operational, administrative, workforce, and service-line workflows.
See scope → - /02
Adoption Risk
Organizations are about to buy, implement, rescue, or scale technology without knowing whether workflow, people, governance, operations, and value are actually ready.
See scope → - /03
AI Readiness
Leaders are under pressure to evaluate AI, SaMD, computer vision, automation, generative AI, and digital health tools — but need workflow fit, governance, readiness, and value clarity before scale.
See scope → - /04
Workflow Adoption
Technology is planned or live, but adoption depends on whether it fits the daily work of clinicians, staff, administrators, and service-line teams.
See scope → - /05
Provider & Patient Success
Traditional customer success metrics do not show whether technology is actually working for providers, patients, care teams, and the organization.
See scope → - /06
Value Realization
Customers are live, but adoption is inconsistent, value is hard to prove, implementation depends on heroics, and expansion is not repeatable.
See scope → - /07
Transformation Leadership
The organization has strategic priorities, technology initiatives, implementation pressure, or customer and adoption risk — but lacks the senior transformation leadership capacity to align people, workflow, governance, value, and execution.
See scope →
Operator-Led, Not Slide-Led.
Founded by Brady Hoffman — 15+ years across healthcare SaaS, SaMD, AI, computer vision, surgical technology, workforce, and public-sector health IT.
Senior people, small teams, real ownership — not rotating analysts.
Outcomes That Matter.
- /01Adoption that holds across service lines, not just at launch
- /02Reduced clinician burden and stronger retention
- /03AI and emerging-tech bets governed and adopted, not just procured
- /04Implementations that survive leadership and vendor change
- /05Customer & Clinical Success that surfaces risk early enough to act
- /06Board-ready ROI tied to clinical and operational reality
Start a Conversation.
Thirty focused minutes on a stalled program, an AI bet, or a customer success function that needs to compound.