De-risk clinical launches, EHR rollouts, and facility expansions
Healthcare initiatives combine tight budgets, regulatory timelines, and patient-safety stakes. Incertive models the uncertainty in your plan and returns a success probability, the top risks, and the highest-impact ways to improve your odds.
of EHR (electronic health record) adoption efforts fail across healthcare settings
Source: Frontiers in Medicine (2025), peer-reviewedWhat Incertive quantifies for these projects
Regulatory and accreditation timelines
Approval and accreditation windows are unpredictable. Incertive models them as ranges so you can plan for realistic — not optimistic — timelines.
Clinical adoption and training
Rollouts fail on adoption more often than on technology. The analysis quantifies how training and change management affect your real-world outcome.
Integration and data migration
Legacy data and system integration are common failure points in EHR and platform work. A sensitivity analysis shows which ones most threaten go-live.
A worked example
Multi-site EHR module rollout
A health system rolls out a new EHR module across four sites over nine months, with heavy integration and a compressed training window.
Takeaway: Training completion and data migration drive the downside. Extending the training window at the two largest sites and validating the hardest data early moves the rollout from uncertain to likely.
Illustrative example. Sign up to run a real analysis on your own project.
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