Skilled Documentation
Skilled Documentation clearly explains why the services performed required the expertise.
Definition
Skilled Documentation clearly explains why the services performed required the expertise of a licensed healthcare professional rather than unskilled or custodial care.
Why it matters
Medicare reimburses only medically necessary skilled services. Proper documentation supports both payment and audit readiness.
What Should I Document? 100 OASIS Situations Home Health Nurses Face Every Day
100 real OASIS scenarios, worked end to end — clinical situation, common mistake, better approach, and key takeaway. Built around OASIS-E2 (effective April 1, 2026) to turn what you assess into accurate, defensible documentation.
Listen While You Read
Conversations on lupa & pdgm
Episodes from Inside Home Health that put Skilled Documentation in operational context.
Ep 21Ep 21 · Jul 20, 2026
Why Nurses Stop Using AI Tools After 90 Days | Jennifer Ngure
Jennifer NgureWatch 
Ep 20Ep 20 · Jul 13, 2026
The Real Cost of Ignoring Nurse Burnout | Jennifer Johnson
Jennifer JohnsonWatch 
Ep 23Ep 23 · Aug 17, 2026
The Hidden Spreadsheet Error That's Causing the Nursing Shortage | Robert Wingo
Robert Wingo, BSN, RN, NI-BCWatch
Related Blogs
10 Ways to Write a Stronger Home Health Visit Note
A strong home health visit note creates a clear clinical narrative, what was assessed, what changed, what skilled care was provided and why, how the patient responded, and what happens next, not just a record that a task was completed. This guide gives 10 practical ways to write stronger notes, weak-vs-strong examples across nursing, therapy, and education, common mistakes to avoid, and a simple Assess → Interpret → Intervene → Evaluate → Plan framework.
Top Documentation Errors in Home Health (and How to Avoid Them)
A home health note can be technically complete and still be clinically weak, and CMS ties 51.4% of home health improper payments to insufficient documentation. This guide walks through the 15 most common documentation errors with weak-vs-strong examples, then shows how to prevent them with standards, audits, in-workflow checks, and clinician-reviewed AI.