Analyze every chart. Prove the care you delivered.
Your clinical narrative drives care outcomes, quality measure capture, and reimbursement. Sayvant Reflect analyzes every chart to strengthen documentation of the care you delivered.
It's impossible to scale clinical review to 100% of charts.
Case management, CDI, and pre-bill RCM reviews each identify a subset of documentation quality issues. Teams struggle to review 100% of charts before the clinical shift ends.
Prove that you delivered great care.
Sayvant Reflect analyzes every chart's clinical narrative to assess medical necessity, diagnosis capture and defensibility, and complexity of care delivered.
Medical Necessity
Analyze requested patient status based on system disease definitions, case management guidelines, and payer criteria.
Clinical Quality
Assess defensibility of documented diagnoses and care plans against standards of care per hospital system, society, and CMS guidance.
Complexity of Care
Evaluate if the clinical narrative accurately captures patient complexity, lab/imaging interpretation, and care delivered at the bedside.
Analyze 100% of your group's encounters.
Submit notes via direct integration, flat files, or PDFs. Sayvant Reflect returns structured analysis on clinical quality, fee capture, and admission level for every encounter, in near real time.
Personalized Recommendations
Prescriptive feedback on every note. Flag specific, quantifiable improvement opportunities.
Aggregated
Patterns
Identify the highest leverage patterns and gaps across the group. Benchmark performance and identify clinicians in need of coaching.
Ongoing
Review
Increase review coverage from <5% today to 100% of charts, at a fraction of the cost of manual audit. Trend performance and quality improvement initiatives over time.
Sayvant Reflect surfaces patterns medical directors can act on.
Generate immediate recommendations and coaching opportunities that are targeted, measurable, and tied to quality and financial outcomes.
More patterns from other recent audits:
Flagged admissions at a 4-hospital community health system where clinical data would justify inpatient level of admission, but clinical narrative supporting medical necessity exposed denial risk.
Identified charts where EKGs were performed but Medical Decisionmaking lacked explicit interpretation of results at a Level 2 Trauma Center.
Identified systemic under-identification of critical care at a Level 2 Trauma Center. Trends surfaced to medical directors, corrected via coaching, and built into Sayvant generation.
The Sayvant Quality System, applied retrospectively.
Learn more about SQS →Reflect is powered by the same physician-validated quality scoring engine that powers Sayvant chart generation: 1M+ acute care encounters, 3,000+ clinical documentation checks, three proprietary indexes that measure clinical, quality, and financial performance.