EHR Optimization Playbook, 2026
What to do after go-live: workflow redesign, adoption recovery, reporting stabilization and optimization governance.
What this covers
The playbook is organized around what it calls the messy middle: the period after go-live when the implementation team has moved on, the workarounds have set, and nobody owns the workflow exceptions. It covers workflow redesign with a defined review sequence and success signal per step, adoption metrics with healthy ranges and warning thresholds, reporting stabilization, and the governance structure that keeps optimization from becoming a permanent backlog.
What is inside
- Chapter 1 · The messy middle
- Why the weeks after go-live, not go-live itself, determine whether an implementation succeeds.
- Chapter 2 · Workflow redesign
- A step, focus area, what-gets-reviewed and success-signal table, so redesign is auditable rather than impressionistic.
- Chapter 3 · Adoption recovery
- Adoption metrics with healthy ranges and warning thresholds, plus a pattern and source table for diagnosing what to do about each.
- Chapter 4 · Reporting and dashboard stabilization
- Getting operational reporting trustworthy before layering new analytics on top of it.
- Chapter 5 · Optimization governance
- A role, responsibility and cadence model so optimization has standing owners.
The point most teams miss
Optimization fails when it has no cadence and no owner. A named role with a recurring cadence beats a larger budget with neither.
Common questions
What is the messy middle?
The period after cutover when the implementation team has moved on and the organization has not yet optimized. The playbook covers the first 18 months after go-live, on the argument that go-live is the starting gun rather than the finish line.
What happens if optimization is deferred?
Friction calcifies. Unaddressed workflow problems become permanent workarounds, after-hours documentation time, and a specialty-by-specialty erosion of trust that turns the EHR into a standing complaint rather than a tool.
Who should own optimization?
Chapter 5 sets out a role, responsibility and cadence model. Optimization fails when it has no named owner and no recurring cadence, and a named role with a standing cadence outperforms a larger budget with neither.
Get the full document
This page summarizes the guide. The full 8-page PDF includes the complete tables, checklists and worked detail.