# Discovery Visit Automation

*/Opportunities/Discovery_Visit_Automation*

## Opportunity Overview

**Wedge**: Start with non-medical private-duty home care agencies conducting initial family consultations. This avoids strict Medicare OASIS documentation requirements on day one, allowing rapid iteration on the core audio-to-form pipeline. Expand into Medicare-certified home health agencies requiring full clinical compliance, and finally adapt the models for hospice and palliative care assessments.
**Timing**: Ambient audio models now accurately parse multi-speaker dialogue in unpredictable acoustic environments like living rooms, while LLMs reliably map unstructured conversational context into strict regulatory form fields.
**Why This I C P**: Home health agencies operate on capitated margins and face severe clinician shortages. Reclaiming two hours of documentation time per intake directly increases their patient census capacity, making them urgent buyers compared to well-staffed hospital departments.
**Size Of Prize**: ~35,000 US home care and home health agencies × ~$15,000 annual spend on documentation labor replacement ≈ $525M addressable prize.
**Gap Narrative**: Home health and private care agencies dispatch clinicians to conduct mandatory in-home discovery visits for new patient intake. Clinicians spend hours manually transcribing handwritten notes and environmental observations into rigid EHR systems, delaying care delivery. An ambient voice application captures the conversation in real-time and structures the data directly into compliance-ready intake forms.
**Defensibility**: Workflow lock-in and proprietary data moats compound as the system integrates deeply into legacy EHRs like Homecare Homebase. As the system processes local intakes, it fine-tunes on agency-specific clinical shorthand and regional dialects, creating a high switching cost where any generic alternative causes an immediate drop in accuracy.
**Why This Thesis**: A Service-as-Software approach fits perfectly because the discovery visit requires hands-free, continuous interaction with the patient and family. Replacing manual software data entry with an invisible ambient agent matches the physical, screen-free reality of in-home assessments.

## Opportunity Linked Thesis

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

## Opportunity Linked I C P

**Icp**: [Clinical Research Organization](/CompanyTypes/Clinical_Research_Organization)

## Opportunity Market Sizing

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

**S A M**: ~$300-400M targeting mid-to-large Clinical Research Organizations
**S O M**: ~$15-30M
**T A M**: ~4,000 global CROs and clinical trial sponsors × ~$200k-250k/yr average spend on site selection workflows ≈ ~$800M-1B
**Growth Rate**: ~12-18%/yr, driven by pressure to accelerate clinical trial startup timelines and reduce CRA travel costs
**Paid Comparable Spend**: ~$2,500-4,000 per evaluated site in Clinical Research Associate (CRA) labor, travel expenses, and manual administrative tracking during Pre-Study Visits

## Opportunity Incumbents

- [Salesforce Sales Cloud](/Products/Salesforce_Sales_Cloud) — Tool
- [Google Sheets Trackers](/Products/Google_Sheets_Trackers) — Spreadsheet
- [Gong Revenue Intelligence](/Products/Gong_Revenue_Intelligence) — Tool
- [Manual Calendar Blocks](/Products/Manual_Calendar_Blocks) — DIY
- [Outreach Execution Platform](/Products/Outreach_Execution_Platform) — Tool
- [Evernote Field Journals](/Products/Evernote_Field_Journals) — DIY

## Opportunity Win Conditions

**Kill Thresholds**:
- Less than 40% adoption by Clinical Research Associates within 30 days of deployment
- Manual spreadsheet fallback rate exceeds 25% of all evaluated sites
- Pilot-to-paid conversion rate drops below 50% at the $30k annual price point
- Customer Acquisition Cost exceeds $15k after 90 days of outbound motion
**Leading Metrics**:
- Site qualification report turnaround time in hours
- Percentage of pre-study visits scheduled without manual email intervention
- Number of structured data fields captured per field visit
- Ratio of automated data entries to manual spreadsheet overrides
**What Proves Right**: Clinical Research Organizations deploy the automation to handle Pre-Study Visit scheduling and data capture for at least 50% of their site evaluations within the first 60 days. Clinical Research Associates complete site qualification reports without reverting to manual spreadsheets or unstructured field notes. Customers sign $30k to $50k annual contracts after a successful pilot demonstrating a hard reduction in travel expenses and administrative labor.
**What Proves Wrong**: Clinical Research Associates refuse to adopt the automated workflows, citing a need for highly bespoke unstructured negotiations with site investigators. Clinical Research Organizations relegate the tool to a secondary administrative tracker while continuing to use manual spreadsheets as their primary system of record. The perceived cost savings fail to materialize because regulatory travel requirements remain identical regardless of automated pre-visit qualification.

## Opportunity Build Profile

**Hardest Part**: Extracting exact client constraints from unstructured audio and mapping informal site jargon into a rigid qualification schema without hallucinating capabilities. The system filters out irrelevant conversational noise to isolate actual operational requirements.
**Min Viable Scope**: Convert raw discovery visit audio into a fully drafted statement of work for one specific field service vertical. Leave out automated pricing configuration, inventory checks, and bidirectional CRM syncing.
**Cold Start Problem**: Baseline models fail to recognize niche industry terms or proprietary scoping formats out of the box. Bootstrap by seeding the system with ten historical discovery transcripts mapped manually to their final approved project scopes.
**Time To First Value**: 1 to 2 weeks of onboarding to map the specific output template, then under 10 minutes to process the first uploaded visit recording.
**Data Moat Available**: true
**Technical Difficulty**: Moderate

## Neighborhood

### Where the gap lives

- [Cash-Pay Sports Rehab Clinic](/CompanyTypes/Cash-Pay_Sports_Rehab_Clinic) — latent gap · CompanyTypes

### Incumbent in

- [Salesforce Sales Cloud](/Products/Salesforce_Sales_Cloud) — incumbent in · Products
- [Manual Calendar Blocks](/Products/Manual_Calendar_Blocks) — incumbent in · Products
- [Outreach Execution Platform](/Products/Outreach_Execution_Platform) — incumbent in · Products
- [Evernote Field Journals](/Products/Evernote_Field_Journals) — incumbent in · Products
- [Gong Revenue Intelligence](/Products/Gong_Revenue_Intelligence) — incumbent in · Products
- [Google Sheets Trackers](/Products/Google_Sheets_Trackers) — incumbent in · Products

### Applies thesis

- [Clinical Research Organization](/CompanyTypes/Clinical_Research_Organization) — applies thesis · CompanyTypes

### Embodies

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

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