Patient Collections with AI Automation - BIS Case Study
Case Study

Patient Collections
with AI Automation

Transforming Healthcare AR Through Intelligent Outreach — Scalable, Compliant and Always-On

BIS Voice AI Outbound Calling Patient AR Warm Transfer

Problem

📞

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.

📬

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.

⏱️

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.

😴

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

🚀

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.

🤖

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.

🔁

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.

🎯

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.

📊

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

Outreach Capacity

Up to 3–5× 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.

💰

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.

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 2–3× as agents focused exclusively on high-value conversations.

📉

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.

🔄

Proactive Revenue Engine

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

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