# Post-Discharge Triage

*/Opportunities/Post-Discharge_Triage*

## Opportunity Overview

**Wedge**: The beachhead targets post-discharge follow-ups for congestive heart failure and chronic obstructive pulmonary disease patients at mid-sized regional health systems. These specific conditions trigger the highest CMS readmission penalties, delivering a stark ROI when the agent prevents an ER visit. From this high-risk cohort, the product expands into lower-acuity surgical discharges and general medicine follow-ups within the same hospital networks.
**Timing**: Large language models now process conversational audio with sub-second latency and execute complex clinical triage decision trees. This allows voice agents to handle nuanced patient symptoms over standard phone lines without the robotic rigidity of legacy IVR systems.
**Why This I C P**: Risk-bearing Accountable Care Organizations and hospitals facing Medicare readmission penalties bear immediate financial downside for every patient who returns to the emergency room within 30 days. They possess the urgent economic incentive to deploy triage capacity and the patient volume to justify the software spend.
**Size Of Prize**: There are 15,000 US acute care hospitals and risk-bearing clinics. Multiplying these 15,000 entities by an average annual spend of $60,000 on post-discharge triage labor yields a $900M addressable prize.
**Gap Narrative**: Hospital care management teams lack the nursing capacity to call every discharged patient within 48 hours to assess symptoms and medication adherence. Existing solutions rely on generic SMS surveys with low completion rates or offshore call centers that lack clinical context to triage effectively. This leaves high-risk patients deteriorating at home, triggering preventable and costly emergency room readmissions.
**Defensibility**: The system compounds value through deep workflow lock-in and clinical protocol mapping. As the agent integrates into the hospital electronic health record to pull medication lists and write back structured triage notes, ripping it out requires breaking established clinical escalation workflows. The dataset of conversational transcripts mapped to hospital-specific triage protocols creates a proprietary behavioral model that generic foundational models cannot replicate out of the box.
**Why This Thesis**: A voice-first service-as-software directly replaces the manual labor of registered nurses dialing phones and leaving voicemails. By operating as an autonomous agent that only escalates out-of-bounds cases to human nurses, it solves the acute labor shortage without requiring elderly patients to download an app or learn a new interface.

## Opportunity Linked Thesis

**Thesis**: [Agent](/Theses/Agent)

## Opportunity Linked I C P

**Icp**: [Hospital System](/CompanyTypes/Hospital_System)

## Opportunity Market Sizing

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**S A M**: ~$400M-600M targeting mid-to-large regional hospital systems prioritizing value-based contracts
**S O M**: ~$15M-30M
**T A M**: ~6,000 US hospitals x ~$150k-250k/yr for post-discharge tracking and triage software = ~$900M-1.5B
**Growth Rate**: ~12-18%/yr, driven by expanding CMS readmission penalties and persistent RN staffing shortages
**Paid Comparable Spend**: ~$250k-500k/yr per system on outsourced transition-of-care call centers and internal RNs performing manual follow-up calls

## Opportunity Incumbents

- [Epic Healthy Planet](/Products/Epic_Healthy_Planet) — Tool
- [Memora Health](/Products/Memora_Health) — Tool
- [Carenet Health](/Products/Carenet_Health) — Service
- [Signify Health](/Products/Signify_Health) — Service
- [Manual Call Lists](/Products/Manual_Call_Lists) — DIY
- [Discharge Excel Trackers](/Products/Discharge_Excel_Trackers) — Spreadsheet

## Opportunity Win Conditions

**Kill Thresholds**:
- Patient response rate < 40% after 30 days of deployment
- RN manual intervention rate > 60% on automated follow-ups
- Sales cycle for pilot conversion > 120 days
- Custom integration engineering costs > $25k per hospital facility
**Leading Metrics**:
- Patient response rate within 48 hours of discharge
- Percentage of automated triage cases requiring RN escalation
- Average time spent per care manager per patient follow-up
- Integration setup time from contract to first automated message
- Daily active usage by care coordination teams
**What Proves Right**: Mid-to-large regional hospital systems sign $150k annual contracts within a 90-day sales cycle. Care managers automate at least 60% of routine 48-hour post-discharge follow-ups through the triage software. Readmission rates for the enrolled patient cohorts drop by 15% within the first 60 days of active deployment.
**What Proves Wrong**: Hospital IT departments block deployment due to required native Epic Healthy Planet integrations. Patients ignore automated check-ins, forcing RNs to fall back to manual phone calls for more than 70% of the daily discharge list. Pilot programs fail to convert to paid contracts because the software creates duplicate documentation work for care managers.

## Opportunity Build Profile

**Hardest Part**: The single hardest part is achieving high sensitivity for actual clinical deterioration while aggressively suppressing false-positive alerts that cause alert fatigue for care managers.
**Min Viable Scope**: Build for one specific high-risk pathway like congestive heart failure discharges using simple SMS check-ins and discrete vital thresholds. Leave out complex EMR write-backs, continuous wearable data streams, and multi-condition routing.
**Cold Start Problem**: Models require thousands of real post-discharge patient interactions to learn baseline versus anomalous recovery trajectories. Break this by running silently in parallel with existing human care managers at a single mid-sized health system to train the routing logic before automating.
**Time To First Value**: 2 to 4 weeks of integration and silent monitoring to tune alert thresholds for the specific care team
**Data Moat Available**: true
**Technical Difficulty**: High

## Neighborhood

### Where the gap lives

- [General Medical Hospitals](/Industries/General_Medical_Hospitals) — latent gap · Industries
- [Newborn Nursery Attending](/JobTypes/Newborn_Nursery_Attending) — latent gap · JobTypes
- [General Internal Medicine Physicians](/Occupations/General_Internal_Medicine_Physicians) — latent gap · Occupations

### Incumbent in

- [Manual Call Downs](/Products/Manual_Call_Downs) — incumbent in · Products
- [Carenet Health](/Products/Carenet_Health) — incumbent in · Products
- [Discharge Excel Trackers](/Products/Discharge_Excel_Trackers) — incumbent in · Products
- [Epic Healthy Planet](/Products/Epic_Healthy_Planet) — incumbent in · Products
- [Signify Health](/Products/Signify_Health) — incumbent in · Products
- [Memora Health](/Products/Memora_Health) — incumbent in · Products

### Applies thesis

- [Hospital System](/CompanyTypes/Hospital_System) — applies thesis · CompanyTypes

### Embodies

- [Agent](/Theses/Agent) — embodies · Theses

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