Today, 80% of spending on home healthcare is unrelated to providing care, and most of these tasks can be automated with LLMs. Home health agencies use specialized home health EHRs to manage all aspects of their business--these systems are slow-moving and don't interoperate with third party tools. We're building a new EHR from the ground up.

Our first feature is clinician scheduling, which is the biggest pain point for most agencies today. Our software cuts clinician travel time in half, eliminating 10% of total costs and more than doubling profitability.



AI-native EHR for home health agencies
Title: Driftly: AI-native EHR for home health agencies | Y Combinator

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### AI-native EHR for home health agencies

Driftly is an AI-native EHR for home health agencies. 80% of the $133B spent every year by home health agencies is unrelated to providing care, and most of this can be eliminated with LLMs. Our first feature is clinician scheduling, where our tool cuts travel time in half, saving 10% of total costs.



Driftly

Founded:2024

Team Size:2

Location:

### Active Founders

### Toby Hirsch, Founder

Toby is the co-founder and CEO of Driftly. Before Driftly, Toby worked as a quantitative trader at Jane Street and at Yale New Haven Health using machine learning to analyze EEG signal for seizure detection and classification. He graduated from Penn's M&T program with degrees in computer science and statistics.



### Victor Lin, Founder

Victor is the co-founder and CTO of Driftly. Victor has a background in software and ML, formerly working at Jane Street, Figma, and Bytedance. He formerly founded Umpcast, a scheduling solution for baseball leagues that is used by little leagues across the bay.



### Company Launches

[### Driftly: Scheduling automation for home health agencies](

Hey YC – we’re Toby and Victor, and we’re building [Driftly]( to make home health agencies more efficient.



**The Problem: Home health clinicians drive too much**
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Clinicians spend 30% of their time driving, while agencies are struggling to meet demand. 75% of referrals to home health are rejected, and with the 85+ population doubling in the next decade, this is only getting worse.

Incumbent software is not built for scheduling–instead, agencies rely on Excel and printed territory maps.

**The Solution: Route optimization**
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Driftly makes home health clinicians 10-15% more productive by optimizing their routes to cut driving time in half.



With Driftly, schedulers can make efficient decisions for a patient’s entire plan of care in just a few clicks.

This simple change cuts clinician travel time by 30-50%, allowing agencies to see more patients and increase revenue by 10-15%.

**The Team**
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Driftly is Toby and Victor’s third startup together. In high school, Victor started Umpcast, a scheduling tool for little leagues that is still in use today across the Bay Area, and Toby was the first hire. Then, they built Probook, a dispatching tool for HVAC and plumbing companies, before leaving to pursue Driftly.

[Toby]( (right) previously worked at Yale New Haven Health, where he used machine learning to analyze EEG signals for seizure detection and classification, and as a quantitative trader at Jane Street. He graduated from Penn's M&T program with degrees in computer science and statistics.

[Victor]( (left) previously worked at Jane Street, Figma, and Bytedance. He was also involved in the Neo startup community as a Neo Scholar and working at [Relay.app]( He graduated from UCLA with a bachelors in computer science.
