# Dynamic Scheduling for LARCs

*/Opportunities/Dynamic_Scheduling_for_LARCs*

## Opportunity Overview

**Wedge**: The initial wedge targets mid-sized, independent OB/GYN groups performing over 20 LARC insertions weekly. This niche faces acute procedural bottlenecks and adopts software rapidly to protect their highest-margin appointments. From this beachhead, the agent expands horizontally to manage scheduling for other device-dependent or cycle-constrained outpatient procedures, such as hysteroscopies, colposcopies, and fertility consultations.
**Timing**: LLMs natively resolve multi-variable constraint problems in natural language, enabling autonomous agents to negotiate complex rescheduling directly with patients via SMS. Patients now expect instant, text-based, asynchronous management for sensitive and time-dependent health logistics rather than waiting on hold for a receptionist.
**Why This I C P**: Independent OB/GYN practices and family planning clinics suffer direct financial losses when 30-minute, high-margin procedural slots go empty due to late cycle-related cancellations. They possess the purchasing autonomy to bypass large hospital IT bureaucracy and procure revenue-saving point solutions immediately.
**Size Of Prize**: The US operates roughly 35,000 OB/GYN practices and specialized family planning clinics. Capturing an annual software spend of $4,000 per clinic for automated, inventory-aware procedural scheduling yields an addressable market of $140 million.
**Gap Narrative**: Women seeking LARC (Long-Acting Reversible Contraceptive) insertions face rigid scheduling constraints tied to menstrual cycles, specialist availability, and on-site device inventory like Mirena or Nexplanon. Generalized EHR schedulers fail to dynamically align these three distinct dependencies, resulting in prolonged wait times, high cancellation rates, and wasted procedural slots.
**Defensibility**: The product achieves workflow lock-in by embedding simultaneously into the EHR calendar API and the clinic's physical device inventory system. Once the agent manages the critical path for high-value procedural revenue, removing it disrupts both patient communication and supply chain logistics. Over time, the routing logic compounds into a localized predictive engine that anticipates no-shows and automatically optimizes overbooking strategies.
**Why This Thesis**: An autonomous Agent architecture matches the asynchronous, back-and-forth reality of reproductive health scheduling. The agent acts continuously in the background, texting patients to confirm biological timing and immediately re-optimizing the clinic calendar and inventory allocations when a patient shifts their insertion date.

## Neighborhood

### Entrant startups

- [Obsolescenceharbor](/Startups/Obsolescenceharbor) — is entrant in · Startups

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