Revenue cycle automation
Automate claim scrubbing, denial prediction, and appeal letter generation. Identify root causes of denials by payer, service line, and coding pattern to prevent future rejections.
We build internal AI products for healthcare provider networks — from hospital systems and physician groups to ACOs and ambulatory care networks. Automate revenue cycle management, prior authorization, care coordination, quality reporting, and payer relationships so clinicians and administrators spend less time on paperwork and more time on patients.
We begin with the operating reality, then design the product around the people, decisions, rules, and evidence already in the work.
Automate claim scrubbing, denial prediction, and appeal letter generation. Identify root causes of denials by payer, service line, and coding pattern to prevent future rejections.
Predict which procedures will require prior auth, auto-generate authorization requests with supporting clinical documentation, and track approval status across payers.
Connect primary care, specialists, labs, imaging, and post-acute providers into a shared patient workflow with automated handoffs, status tracking, and gap-in-care alerts.
Auto-collect quality measures from EHR data, validate against regulatory requirements, and generate submission-ready reports for MIPS, HEDIS, and payer quality programs.
Stratify patient panels by risk, identify care gaps, predict utilization, and recommend outreach for high-risk patients before they escalate to ED or inpatient.
Track contract terms, reimbursement rates, and performance metrics by payer. Flag underperforming contracts and model the financial impact of renegotiation.
Automate OASIS documentation, visit note compilation, and care plan management for home health and hospice providers. Track PDGM compliance and optimize billing cycles.
Not a standard product you have to work around. A focused operating layer that can connect the tools and data you already use.
AI-powered claim analysis that predicts denials before submission, recommends coding corrections, and identifies systemic denial patterns by payer.
Automated authorization requests with clinical documentation extraction from EHR, payer-specific requirement matching, and real-time status tracking.
Continuous analysis of patient panels against evidence-based guidelines to identify missing screenings, follow-ups, and chronic care management opportunities.
Auto-extract quality data from EHR structured and unstructured fields, validate against measure specifications, and produce submission-ready files.
Patient-level risk scores using claims, clinical, and social determinants data with configurable thresholds and automated outreach recommendations.
Per-payer dashboards tracking reimbursement rates, denial rates, days-to-pay, and contract compliance with renegotiation alerts.
Automated OASIS and visit note compilation from structured field inputs with PDGM compliance tracking and billing optimization.
These are deployment results and study findings, not forecasts for your business. We use them to establish plausibility, then model your ROI from your own volume, time, labor cost, error rate, and throughput.
AI-powered denial prediction and coding correction before submission across hospital systems and physician groups.
Evergence deploymentsPrevented denials, faster appeals, and improved prior auth approval rates at mid-market health system scale.
Evergence deploymentsAutomated authorization requests with clinical documentation reduce manual phone calls and faxes to payers.
McKinsey healthcare report ↗Automated care coordination and quality reporting frees clinicians from paperwork.
BCG healthcare study ↗We’ll show you the internal AI product that can simplify it.
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