Closing the Loop
Reach every patient. Close every gap. Without adding headcount.
AI-Driven Post-Discharge Follow-Up at Scale
Conversational AI agents reach every discharged patient, confirm medication adherence, and schedule the follow-up appointment before the gap becomes a readmission. Built to run at population scale, integrated directly into your existing clinical systems.
The Challenge
Every discharge instruction ends the same way: a patient walks out the door and enters a care void. No one confirms medications were filled. No one verifies the follow-up appointment happened. The result shows up in readmissions, avoidable harm, and cost.
Volume
Nearly 140 million emergency department (ED) visits happen in the U.S. every year. Roughly 1 in 5 people visit an ED annually.
The Adherence Gap
Patient adherence to discharge follow-up instructions ranges from 26–56%, and falls as low as 9–37% in some populations.
Early Bounce-Back
More than 6% of ED-discharged patients return within 72 hours, often linked to gaps in the discharge process itself.
Cost at Stake
Hospital readmissions cost the U.S. healthcare system $41.3 billion annually, with 30-day episodes averaging $16,300, more than the original admission.
Root Causes
Medication discrepancies (38% of readmissions), missed follow-up appointments (29%), and unreported symptoms (22%) drive most preventable returns.
Compounding Barriers in Rural and Underserved Areas
Transportation, cost concerns, and confusion about where to seek follow-up care disproportionately affect rural and underserved populations, where the referral-to-attendance gap is widest.
The Approach
Every discharged patient enters a structured, two-wave outreach protocol. Conversational AI handles the conversation. A human stays in the loop wherever judgment is needed.
01
Two-Wave Structured Outreach
An initial wave shortly after discharge, followed by a 30-day check-in, covers both the immediate risk window and the period when readmission risk stays elevated.
02
Multimodal, Age-Tuned Contact
SMS as the default channel, with voice escalation, tuned by age cohort and observed engagement patterns, so outreach fits how each patient actually responds.
03
Confirms What Matters Clinically
Each conversation confirms medication adherence, verifies durable medical equipment receipt, and captures structured data care teams can act on.
04
Auto-Schedules the Follow-Up
The AI agent books the primary care or specialist appointment directly, closing the referral-to-attendance gap instead of just flagging it.
05
Reduces Readmission Penalty Exposure
Closing the follow-up gap directly addresses the drivers behind avoidable 30-day readmissions and the revenue at risk under readmission penalty programs.
06
Scales Without Adding Headcount
Care coordination staff are not making the calls. The program runs autonomously and surfaces only the escalations and non-responders that need a clinician.
25-56%
Adherence to post-discharge follow-up
Typical patient adherence to post-discharge follow-up instructions without automated outreach — the gap this program is built to close.
$41 B
Readmissions cost
Annual U.S. cost burden of hospital readmissions, with a meaningful share considered preventable.
Up to 3%
Medicare payments
at risk under the Hospitals Readmissions Reduction Program for health systems with high readmission rates relative to peers.
What is Conversational AI?
Conversational AI refers to AI agents that hold structured, natural conversations with patients over voice and text, not scripted menus or one-way reminders.
The agent understands what a patient says, asks the right follow-up question, and takes the next action itself. Whether that is confirming a medication was filled, booking an appointment, or flagging the case for a care co-ordinator to step in.
For post-discharge follow-up at scale, it means every patient has a conversation with a person in the loop wherever judgment is needed.
TQA Healthcare & Life Sciences Practice
TQA is an agentic AI consultancy that turns AI into real-world business advantage. TQA’s Healthcare and Life Sciences practice focuses on reducing administrative burden, streamlining revenue cycle operations, and automating compliance-sensitive workflows for health systems and payers. Across every industry TQA serves, the same approach applies: connecting legacy, cloud, and new platforms with deep integration expertise across UiPath, ServiceNow, and Microsoft. The result is production-grade agentic solutions that operate at enterprise scale, not pilots that stall before they reach real patients or real return.
TQA x PatientGenie
This approach is delivered through TQA’s partnership with PatientGenie. TQA leads the enterprise integration; PatientGenie provides the AI voice and text agent platform.
Ready to close the gap in your post-discharge program?
Tell us about your discharge population and current follow-up process, and we'll map the right approach.
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