Optimize cash flow, reduce A/R days, and increase recovery with intelligent AI A/R monitoring designed for modern healthcare revenue cycle teams. HealOS provides real-time A/R aging analysis, predictive risk scoring, and automated follow-up workflows that replace slow, manual tracking with smart, proactive automation.
Manual A/R management drains time, delays collections, and increases financial risk. Healthcare teams struggle with:
Teams manually check payer portals and spreadsheets, causing delayed follow-up and missed reimbursement windows.
Claims often slip into the 60–90+ day buckets unnoticed, reducing collectibility and increasing write-off risk.
Disconnected RCM tools, EHRs, and clearinghouses create inconsistent A/R records and slow reconciliation.
Staff waste hours each day on repetitive claim checks, status updates, and manual documentation.
Without real-time A/R aging analysis, teams only react after issues appear, too late to recover payment efficiently.
Without AI, staff cannot identify which accounts are at risk or which payers are delaying payments.
A side-by-side comparison of traditional workflows vs. automated A/R aging analysis.
| Category | Manual A/R Aging Report | AI-Powered A/R Aging Report (HealOS) |
|---|---|---|
| Data Collection | Requires exporting CSVs, merging sheets, and cleaning data manually. | Auto-ingests data from EHR, PM, clearinghouse & payer portals in real time. |
| Days Overdue Calculation | Staff calculate using formulas (e.g., TODAY()–Due Date). High risk of errors. | AI calculates days overdue instantly for every claim with 95% accuracy. |
| Aging Bucket Assignment | Built manually using nested IF statements and PivotTables. Time-consuming. | AI automatically sorts all balances into aging buckets (0–30, 31–60, 61–90, 90+). |
| Report Refresh | Must be rebuilt or refreshed manually; often updated monthly. | Real-time dashboards update continuously as payments or claim changes occur. |
| Follow-Up Prioritization | Staff rely on spreadsheets, notes, and intuition to decide which claims to work. | AI scores accounts by value, age, payer risk, and collectibility, prioritizing highest ROI accounts first. |
| Payer Behavior Tracking | Difficult to analyze patterns manually across large datasets. | AI detects slow-paying payers, recurring issues, and behavior shifts instantly. |
| Error Detection | High risk of missed claims, incorrect buckets, and human error. | Machine learning flags anomalies, incorrect adjustments, and aging inconsistencies. |
| Cash Flow Forecasting | Nearly impossible with spreadsheets unless calculated manually. | Predictive analytics forecast cash inflows based on historical payer behavior and payment velocity. |
| Actionable Insights | Requires manual analysis, charts, and interpretation. | AI generates insights, alerts, and recommended next actions automatically. |
| Follow-Up Execution | Manual calls, emails, and portal checks by A/R staff. | AI automates payer follow-up, portal checks, reminders, and escalations. |
| Scalability | Limited by team size; high labor cost. | Scales instantly, AI handles thousands of accounts without extra staff. |
| Compliance & Audit Trails | Audit tracking is often incomplete and inconsistent. | Full audit logs for every action, fully HIPAA-compliant and traceable. |
| Cost & Time Efficiency | Hours spent building reports and chasing claims. | 10x efficiency, faster A/R cycles, and reduced administrative overhead. |
| Financial Impact | High A/R days, slower cash flow, higher write-offs. | Reduce A/R days by 40%, prevent bad debt, and accelerate cash flow. |
AI categorizes every outstanding account into aging buckets (0–30, 31–60, 61–90, 90+ days), updating continuously for accurate A/R aging analysis.
Automatically calculate and track DAR over time. Identify trends, improvement opportunities, and benchmark performance.
AI scores accounts based on payer reliability, aging severity, claim value, and predicted collectibility to improve A/R days and optimize workflow.
AI bots track claim statuses, request missing documentation, push stalled claims forward, and escalate risks without manual intervention.
Machine learning models predict payment likelihood, detect payer delays, and flag high-risk accounts early to reduce A/R days.
Monitor how accounts move between aging buckets and ensure high-risk categories stay minimal for optimal cash flow.
Instant visibility into A/R performance, payer trends, DSO, and collection efficiency with executive-friendly dashboards.
Analyze payment patterns, aging trends, and denial-related delays for each payer to inform negotiations and operational strategy.
Trigger automated reminders, escalate stalled accounts, and generate follow-up notes and letters to accelerate recovery.
Predict future collections using AI models that analyze aging buckets, payer behavior, and historical payment patterns.
Integrates with Epic, Cerner, Athenahealth, AdvanceMD, eClinicalWorks, and more for unified healthcare A/R automation.
Every interaction, update, and follow-up is logged with time stamps for HIPAA compliance and financial oversight.
HealOS imports claims, payments, adjustments, and remit data to create a unified A/R record.
All accounts are instantly placed into aging buckets, updated continuously as new payments or remits arrive.
AI scores each account based on age, value, payer patterns, denial risk, and predicted collectibility.
AI bots perform payer portal checks, request documentation, and trigger reminders automatically.
High-risk claims nearing 60–90+ days are escalated early to prevent write-offs.
Finance teams use AI-generated insights, forecasts, and alerts to optimize actions and reduce A/R days.
AI prioritizes accounts and automates follow-up, speeding up recovery and improving monthly cash flow.
Identify delayed claims, underpayments, and aging risks before they become bad debt.
Predictive models forecast cash flow with accuracy based on payer behavior and aging data.
AI handles repetitive tasks, enabling teams to manage more accounts without adding staff.
Dashboards highlight payer trends, aging risks, and account movement across buckets.
Eliminate manual tracking by automating status checks, documentation requests, and escalation workflows.
Every A/R action is logged for HIPAA, SOC2, and internal compliance.
AI delivers up to 95% accuracy by matching payments and detecting errors.
HealOS adheres to strict healthcare data security standards.
Built specifically for healthcare financial workflows, payer logic, and RCM processes.
From monitoring to follow-up to recovery. HealOS automates the entire journey.
Proactively prevents aging issues before they become costly.
Organizations see improvements in 20–30 days.
Connects with existing EHR and billing systems with minimal setup.
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