The operating intelligence layer for hospitals
Building the operating brain for hospitals.
sanalytics is building a shared operating memory that connects hospital metrics, evidence, decisions, and outcomes—so leadership can see what changed, trace the strongest signals, decide what to review next, and retain what followed.
Why did medical LOS increase this month, and where should leadership investigate first?
- Owner
- Operations leadership
- Next review
- 2 weeks
The missing operating thread
Hospitals have more operating data than ever.The context still disappears between systems.
Dashboards can show a change. The harder problem is preserving what the change meant, which evidence mattered, what leadership decided, and what happened next.
- Governed definition
- Evidence references
- Decision rationale
- Accountable owner
- Measured result
- 01
Evidence assembledDefinitions and source references remain attached.
- 02
Decision recordedOwner and two-week review interval are explicit.
- 03
Outcome returnedThe next review begins with retained context.
A product story, not another dashboard
From operating signal to retained context.
Follow one leadership question as evidence assembles, an Operating Review takes shape, and the decision returns to Operating Memory.
One operating system
Built around the work leadership needs to understand.
A small set of connected product surfaces turns operating signals into evidence-backed reviews, action, and retained learning.
Operating Review
A decision-ready brief that keeps the signal, associated contributors, evidence posture, owner, and next review together.
Ask sanalytics
Ask an operating question and receive a structured, evidence-linked starting point—not an unconstrained answer box.
Data Audit
Readiness before conclusions.
Observed movement4 sources
DefinitionsAttached
Readiness1 caveat
Conclusion withheld where support is incomplete.Forecast & Simulation
Make assumptions and ranges visible.
Execution Projects
Carry the decision into accountable follow-through.
- Define investigation
- Review discharge timing
- Measure observed result
Operating MemoryThe shared foundation beneath every product surface.
Initial operating focus
Start where case mix, length of stay, and throughput meet.
One concrete operating question becomes the first proving ground for connected metrics, evidence, decisions, and follow-through.
- 01
Detect
See the movement where case mix, length of stay, and throughput meet.
- 02
Explain
Organize associated patterns, evidence, definitions, and one readiness caveat.
- 03
Prepare the review
Carry the signal into a human-owned decision with an owner and next review.
Start with two patterns worth investigating.
Discharge timingLate-day discharge pattern moved with the observed LOS signal.
Service-line contextMedical service lines contributed unevenly to the movement.
Where should leadership investigate first?
- Decision
- Prioritize the initial review path
- Owner
- Operations leadership
- Follow-up
- Two-week measured review
Weighted MS-DRG CMI and APR-DRG severity remain distinct analytic concepts. APR-DRG severity is separate context and is never blended into the weighted MS-DRG CMI measure.
Built for accountable operating work
Confidence comes from showing the work.
Founded by Luke Green, who began working in hospital emergency departments in high school and later became a lead scribe. sanalytics grew from seeing the same problem repeatedly: hospitals had the data, but leadership still had to reconstruct the operating story by hand.
Product development is informed by scenario-based development, private walkthroughs, and conversations with hospital executives and operators. Design-partner conversations are available.
- 01Governed definitions
Metrics keep their meaning across every review.
- 02Deterministic first
Structured analytics precede any generated narrative.
- 03Evidence + lineage
Every explanation stays linked to its support.
- 04Readiness before claims
Caveats remain visible when support is limited.
- 05Human decision ownership
Leadership retains the decision and action.
sanalytics does not make autonomous clinical decisions. Product outputs are designed to support human operating judgment.
A private, scenario-based walkthrough
See what your operating data should be able to explain.
Bring a recurring leadership question. We'll show how the metrics, evidence, decisions, and next actions can remain connected.