Home Health Agencies
You have more patients than ever.And fewer clinicians to see them.
Referrals pile up while nurses and therapists quit faster than you can hire. The ones who stay drive inefficient routes, document after hours, and miss OASIS fields that cost you on reimbursement. We embed with your team, map your entire operation from referral intake to episode discharge, and deploy AI specialists that fix what's costing you money. No consultants with slide decks. Real operational change, from week one.
The Problem
Where the money
is going.
Cost
Visit Scheduling & Route Efficiency
Nurses drive forty minutes between visits that are six miles apart because scheduling doesn't account for geography. Clinicians choose their own routes based on habit, not optimization. When a patient cancels, the hole stays empty because there's no system to fill it with a nearby make-up visit. Mileage reimbursement and windshield time eat into every episode's margin.
Process
OASIS Documentation & Accuracy
OASIS accuracy drives your case-mix weight, which drives your reimbursement. One missed functional limitation assessment drops the payment group. Clinicians rush through OASIS at the kitchen table or finish it at home after eight visits. Quality review catches errors days later, when the patient context is gone. Every corrected assessment costs time and still might not recover the right payment level.
Risk
Clinician Retention & Burnout
Your average RN stays fourteen months. Recruiting costs $8K per hire. The real cost is the productivity ramp. A new nurse needs three months to learn the territory, the patients, the documentation expectations. Burnout comes from after-hours charting, unpredictable schedules, and the feeling that nobody optimized their day. The nurses who leave take patient relationships and local knowledge with them.
Knowledge
Referral-to-Admission Conversion
A third of referrals never convert to an admission. Some are clinical mismatches. Others fall through because intake didn't follow up within 48 hours, or the scheduling team couldn't find a clinician in the right zip code. Nobody tracks why specific referrals drop, so the same conversion failures repeat every week.
How We Work
Three steps. Hands on.
We embed with your team, map your operation, find what no one could see, and deploy specialists that fix it. You get a dedicated team, not a login.
Map
We start with a structured discovery. Our team interviews every field clinician, scheduler, intake coordinator, OASIS reviewer, and branch manager across your agency. We connect to your EMR, scheduling platform, and billing system. The result is your Blueprint: a complete, live map of how your home health agency actually operates, from referral intake to episode discharge.
Uncover
We analyze everything we mapped. Our platform finds the scheduling gaps that waste drive time, the OASIS errors that reduce reimbursement, the referral conversion failures that leave patients unserved. We validate every finding with your team before acting on it. Not a one-time audit. Always running, always finding more.
Execute
Every finding comes with a concrete plan and a deploy button. We build AI specialists that handle the fix end to end. Optimize visit routes by geography, flag OASIS documentation gaps before submission, automate referral follow-up. You approve, they run. We stay with you to make sure they deliver.
Example Findings
What Yield typically finds.
Based on a typical mid-market company with $20M–$50M in annual revenue.
Cost
Windshield Time from Poor Routing
$241K/yr
Cost
Reimbursement Lost to OASIS Errors
$123K/yr
Cost
Referral Leakage from Slow Intake
$66K/yr
Process
After-Hours Documentation
31 hrs/wk
Risk
Single-Clinician Patient Dependencies
47 patients
In Practice
See it work.
From day one.
Week 1
Discovery
We talk to your entire operation.
AI-led conversations with every employee. Field nurses, therapists, schedulers, intake coordinators, OASIS reviewers, branch managers. Not surveys. Real conversations that capture the routing workarounds, the documentation shortcuts, the scheduling patterns no dashboard shows.
Month 1
Blueprint + First Savings
Your Blueprint is live. Agents are saving money.
A complete, verified map of how your home health agency works, from referral intake through episode management to discharge and billing. The first opportunities are identified, and AI specialists are already in production.
Ongoing
Continuous Returns
Savings compound. Every quarter.
Yield keeps finding inefficiencies, deploying specialists, and compounding savings. Routes tighten as patient geography shifts. OASIS accuracy improves with every review cycle. The platform pays for itself and keeps going.
FAQ
Common questions.
Our schedulers already try to cluster visits by zip code but clinicians rearrange their own routes every morning. Can you actually enforce geographic scheduling?
Enforcement fails. Clinicians rearrange routes because the original schedule didn't account for patient preferences, traffic patterns, or the fact that Mrs. Garcia's morning insulin check can't move to the afternoon. We map the real constraints each clinician deals with, then build schedules that respect those constraints while minimizing drive time. When the schedule already makes sense, clinicians stop rearranging it.
We implemented a route optimization tool two years ago and our nurses said it made their days worse. How is your approach different?
Standalone route tools optimize for mileage and ignore everything else. They don't know that wound care visits take longer in certain homes, that one patient's family is only available after 3 PM, or that a new admit needs a full hour. We map the clinical and logistical reality of each visit, not just the address. The routes we build account for visit duration, patient constraints, and clinician skill mix, not just geography.
Our OASIS accuracy rate is around 78% on first submission and we've tried additional training twice. What else can be done?
Training improves knowledge. It doesn't fix the fact that clinicians are completing OASIS after eight visits when they can barely remember the details. We map exactly where in the workflow errors concentrate, by question, by clinician, and by time of day. AI specialists flag likely errors in real time while the clinician is still in the patient's home, before the assessment is submitted. The correction happens at the point of care, not in a QA review three days later.
Our biggest cost driver is clinician turnover and we're not sure an operational review can help with a hiring problem. What's the connection?
Turnover in home health is rarely about pay alone. Exit interviews point to unpredictable schedules, after-hours charting, and the feeling that every day is chaos. We map what each clinician's day actually looks like, how much time is driving versus treating versus documenting, and where the friction points are. When you reduce windshield time by thirty minutes a day and cut after-hours documentation, the job becomes sustainable. Retention improves because the day improves.
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See what Yield finds in
your agency.
30 days. Real results. Or walk away.