AI EMR for Post-Acute Care
Home health and hospice share one thing: more documentation per encounter than almost any other care setting in healthcare. An AI EMR purpose-built for post-acute care addresses that head-on.
The Post-Acute Documentation Problem
Post-acute care includes home health and hospice, each with its own regulatory assessment requirements (OASIS for home health, HOPE for hospice) on top of standard visit documentation, coding, and billing. The cumulative documentation burden is among the highest in healthcare.
Legacy EMRs built for post-acute care (WellSky, HCHB, MatrixCare, Axxess) are form-based systems that digitized paper workflows. They solve the compliance problem but not the clinician experience problem. Documentation still takes 30-45 minutes per encounter, most of it completed after the visit, driving the burnout and turnover crisis in post-acute care.
What Makes an AI EMR "Post-Acute"
A post-acute AI EMR understands the workflows and assessment requirements unique to each care setting:
- Home health: OASIS-E assessments, PDGM classification, homebound status, skilled need, 30-day episodes.
- Hospice: HOPE assessments, recertification narratives, IDG documentation, face-to-face encounters, 90/60/60-day benefit periods.
- Multi-setting support: Many post-acute organizations operate both home health and hospice. A unified AI EMR supports both.
How AI Changes Post-Acute Documentation
An AI EMR for post-acute care addresses the documentation burden at multiple levels:
- Ambient capture during visits: The AI listens to the clinical encounter and auto-generates structured documentation, eliminating most manual data entry.
- Assessment automation: OASIS and HOPE items are populated from the clinical conversation.
- Real-time QA: Documentation gaps and consistency errors are flagged during documentation, not retrospectively.
- Automated coding: ICD-10 suggestions with clinical evidence mapping support accurate PDGM classification.
- Mobile-first workflows: Post-acute clinicians work from phones and tablets in patient homes. The EMR is built for that.
Lime's Post-Acute AI EMR
Lime Health AI is building the first AI-native EMR specifically for post-acute care. Today, Lime supports multiple service lines:
- Lime for Home Health, ambient OASIS, visit notes, ICD-10 coding, QA
- Lime for Hospice, HOPE assessments, visit notes, recertification narratives
- Managed Scribe, Lime AI plus a trained team to run it for organizations across service lines
Over time, Lime is expanding into full EMR functionality across home health and hospice. The vision: one AI-native EMR that handles documentation, coding, QA, admissions, scheduling, billing, and compliance across every post-acute service line an organization operates. Learn more: Lime EMR.
Want to see an AI EMR built for post-acute care? Book a call.
Book a Demo