Patient Collections with AI Automation - BIS Case Study
Case Study

Patient Collections
with AI Automation

Transforming Healthcare AR Through Intelligent Outreach β€” Scalable, Compliant and Always-On

BIS Voice AI Outbound Calling Patient AR Warm Transfer

Problem

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Limited Manual Reach

Traditional collection teams manually dialed patients one by one, reaching only 20–30% of accounts daily. Many accounts remained untouched for days or weeks, creating growing backlogs.

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Voicemail Dependency

40–60% of outbound calls ended in voicemail with no structured recovery process, leading to inconsistent follow-up cadences and accumulating unanswered reminders.

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Delayed Cash Flow

Average follow-up delays of 5–10 days between contact attempts slowed payment realization significantly, extending collection cycles and reducing monthly revenue capture.

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Agent Idle Time & Inefficiency

Agents experienced 15–25% idle time between manual calls, while approximately 35–50% of patients simply forgot their pending balances due to lack of timely, consistent engagement.

Solution & Approach

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Mass Outreach at Scale

BIS Voice executes 10,000–20,000 outbound calls per campaign cycle with 100% account coverage within 24–48 hours, scaling to 50,000+ calls per day with zero dependency on manual dialing.

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Intelligent Voicemail Handling

The AI handles 100% of voicemail scenarios without fatigue, leaving structured reminders with callback instructions and converting voicemails into a 5–12% callback recovery rate.

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Structured Follow-Up Logic

Automated retry logic ensures 2–4 follow-ups per patient per cycle with over 95% adherence, improving reachability by 20–35% and eliminating missed follow-ups entirely.

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Warm Transfer for High-Intent Patients

15–30% of connected calls are identified as high-intent and routed directly to live agents, reducing agent time on non-productive calls by 40–60% and improving conversion efficiency.

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Data-Driven Optimization

Continuous improvement in contact strategy through real-time performance analytics ensures the system adapts over time, maximizing recovery rates across aging AR buckets.

Outcomes

5Γ—
Outreach Capacity

Up to 3–5Γ— increase in daily patient outreach vs. manual operations

55%
Better Contact Rates

30–55% improvement in successful patient contact rates

35%
Collections Growth

18–35% increase in monthly patient collections within 60–90 days

60%
Faster Cycle Time

40–60% faster collection cycle, from 5–7 days to 24–48 hours

40%
Lower Cost / Collection

25–40% reduction in cost per collected dollar

Impact

🎯

Full Account Coverage

Patient AR coverage expanded from 25–30% to 90–100%, ensuring every account in the pool is contacted within defined cycles with no backlog accumulation.

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Aging AR Recovery

Higher recovery from 30+ day aging buckets and a 10–20% reactivation boost on previously unresponsive accounts significantly improved revenue capture from dormant balances.

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Agent Productivity

Productive agent talk time increased by 30–50%, idle time dropped from 20% to under 10%, and effective calls per agent rose by 2–3Γ— as agents focused exclusively on high-value conversations.

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Cost Optimization

A 25–40% reduction in cost per collected dollar, lower infrastructure dependency and reduced hiring pressure delivered significantly higher ROI per agent hour at scale.

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Proactive Revenue Engine

Collections transformed from a reactive, delayed, manual process into a proactive, intelligent and always-on revenue engine β€” reaching every patient consistently and on time.

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