Home Health Line
11/05/2026
When assessing the patient for GG0170C, you wouldn’t include the amount of assistance required after they’ve completed the task. This was one of 10 questions included in the most recent OASIS Q&A.
11/05/2026
"Don’t be afraid that if you have a certain LUPA percentage, you’re going to get a lot of ADRs. We just don’t see that happening."
11/05/2026
Find a positive, personal goal that will increase patient engagement around preventing potential falls. The best way to ensure patients adapt to modifications to their home and routine and get them engaged in care to mitigate fall risks is to connect these changes to their passions and priorities.
11/05/2026
Agencies in Review Choice Demonstration states are less likely to face a challenge under pre-claim review as opposed to agencies facing pre-payment and post-payment review. 
11/05/2026
CMS plans to expand its Review Choice Demonstration for home health agencies in California beginning in early 2027. Here are some basics to keep in mind about RCD and the popular pre-claim review option.
11/05/2026
The HHVBP Annual Performance Report is available in private reports on iQIES, but provider-level results, including the 2027 payment adjustment amount, will be publicly reported in mid-January.
10/29/2026
A bill to address years of home health payment cuts and national fraud concerns has been introduced in the U.S. House of Representatives.
10/29/2026
The following responses were provided during DecisionHealth’s Home Health Payment & Compliance Virtual Summit on Sept. 16, 2026.
10/29/2026
Incorporate specific details about the patient’s needs, abilities and goals when documenting fall prevention efforts. Vague language or objective measures disconnected from meaningful outcomes could get your agency in hot water when it comes to justifying the continued need for skilled care.
10/29/2026
Clinical artificial intelligence (AI) systems can produce inaccurate results, miss important findings and perform differently across patient populations. As a result, industry experts are concerned about the growing risks tied to clinicians who trust AI-generated recommendations over their own clinical judgment.

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