Case Study
Meridian Health Systems — the turnaround.
A regional health system with brilliant clinicians and unusable data built a governed analytics foundation — cutting clinical reporting from three weeks to under a day.
3 wks → 1 day
Reporting cycle
single source of truth
0 hr/day
Clinician time saved
via AI summarization
0+
KPI definitions unified
across all hospitals
0 weeks
AI to production
governed, validated
The engagement
Inside the work.
The same sequence every time — diagnose, design, deliver, prove.
01 — The Challenge
The Challenge
Meridian ran 14 hospitals on 6 legacy systems with 11 separate reporting definitions of the same metric. Clinical reporting consumed a full-time analytics team three weeks per cycle, and executive decisions ran on data that was already stale.
The technology budget had been spent repeatedly on point tools that died for lack of governance. The organization had 'dashboard fatigue' — and justifiable skepticism about another data initiative.
02 — The Strategy
The Strategy
We started with governance, not dashboards. A 90-day foundation sprint established a single clinical data model, canonical definitions for 60 core KPIs, and ownership per data domain. The warehouse was rebuilt on a modern stack, loading into a governed mart that analysts could trust.
AI was sequenced in only after the foundation held: an early-warning model for readmission risk and an LLM-assisted discharge summarizer, both gated by a clinical governance board we helped stand up.
03 — The Execution
The Execution
Ten cross-functional sprints delivered the foundation incrementally — no big-bang migration. Clinicians were embedded in every build: each dashboard had a named clinical owner who signed off definitions before release.
The readmission model moved from pilots to production in ten weeks, with clinicians validating 100% of high-risk alerts in the first month.
04 — The Results
The Results
Reporting cycle went from three weeks to under a day, on a single source of truth. Readmission risk predictions now screen every discharge; the summarizer saves each clinician roughly an hour a day. The analytics team's time shifted from data plumbing to decision support.
Timeline
How the work unfolded.
The engagement, phase by phase — funded by the savings it created.
Governance & foundation
Weeks 1–12
Data model, canonical KPIs, modern warehouse.
Clinical marts & dashboards
Months 4–8
Domain marts with named clinical owners.
AI production
Months 7–12
Readmission model and summarizer live.
Enablement
Month 12+
Analytics COE operating independently.
We had a data problem dressed up as a technology problem. StrataOPS saw it, fixed the root cause, and our reporting cycle went from weeks to hours.
Elena Marchetti
CIO, Meridian Health Systems
Related expertise
Where we apply this.
The capabilities behind this engagement, available across every industry we serve.