AI Insights — Operational KPI Engine

We are not selling a dashboard.

We are selling surgical data governance and strategic foresight.

Unlock Data Legacy EHR Analytics Can't Access

NeuroFlo extracts surgical nuance buried in unstructured operative-note text and converts it into structured, trackable variables that traditional EHR reporting tools cannot easily analyze without manual chart review.

About 80%

Of clinical data is trapped in unstructured text, invisible to standard EHR dashboards

Source: Li et al., Yale University

The KPI Insights Lifecycle

From a plain-language question to a live, evidence-backed answer.

Query. Extract. Analyze. Visualize. Act. Learn.

Query

Refined by every rerun

Ask in plain language — e.g. “aortic valve replacement time vs. complication rate, by surgeon.”

Extract

Scope and metrics are pulled from every matching operative note.

Analyze

Factors are detected, evidence attached, and results aggregated.

Visualize

Results land in a live KPI dashboard, not a static export.

Act

Leadership acts on it — and reruns the query as new notes come in.

One continuous loop: every rerun sharpens the next query

Value Proposition

  • Unlock Surgical Data Trapped in Operative Notes: About 80% of clinical data sits as unstructured text inside legacy EHR systems (Li et al., Yale University). NeuroFlo converts operative-note content into structured, trackable clinical, operational, and financial intelligence.
  • Replace Weeks-Long Manual Chart Audits With On-Demand Intelligence: Hospital leadership defines what it wants to measure and uses NeuroFlo to extract those variables from current or historical operative notes, instead of manually reviewing charts to build the dataset.
  • Measure Surgical Performance at a Granular Level: Turns operative-note data into real-time KPIs for physician efficiency, procedure duration, morbidity, outcomes, supply costs, compliance, and profitability by surgical subtype.
  • Improve Clinical, Operational, and Financial Decision-Making: Identifies efficiency gains across surgical teams, evaluates profitability by surgical subspecialty, and tracks outcomes and compliance measures that support quality and risk improvement.

Problems We Solve

  • Plain-Language Data Point Extraction: Administrators and clinical leaders describe what they want to track — surgical duration by surgeon, complication rates for a procedure — without first building the underlying dataset manually.
  • AI Variable Mapping: Converts those requests into structured variables extracted across both historical and real-time operative notes.
  • No-Code KPI Creation: Users map extracted variables to the metrics, deltas, comparisons, and visualizations they want without a custom analytics project for every new question.
  • Retroactive Data Mining: Queries historical operative-note repositories to build new datasets and cohort analytics without manual chart review.
  • Continuous Surgical Intelligence: Static operative reports become live, trackable metrics analyzed across surgeons, procedures, specialties, teams, and departments, instead of isolated documents inside the EHR.
  • Eliminate Manual Chart Audits: Extracts granular surgical data directly from operative notes that would otherwise require expensive, time-consuming manual chart review.
  • Unlock Data Legacy EHR Analytics Cannot Access: Extracts surgical nuance buried in unstructured operative-note text and converts it into structured, trackable variables that traditional EHR reporting tools cannot easily analyze without manual review.