Blog

TEAM Is Already Reshaping Hospital–Home Health Relationships: What Agencies Are Learning in 2026

Mosai — Tue, 09 Jun 2026 12:58:08 GMT

Four months after the CMS Transforming Episode Accountability Model (TEAM) officially launched, hospitals and home health agencies in mandatory participation markets are already adapting to a new reality: post-acute performance now carries greater financial and operational consequences than ever before.

For many providers, the shift has been immediate.

Hospitals participating in TEAM are placing greater scrutiny on post-discharge outcomes, referral reliability and operational responsiveness across their home health networks. Agencies, meanwhile, are discovering that long-standing referral relationships alone may no longer be enough to maintain preferred partner status.

Instead, hospitals are increasingly evaluating which organizations can consistently support lower readmission rates, faster initiation of care and stronger recovery outcomes for surgical patients included in a TEAM bundle.

The result is a meaningful evolution in how hospital-home health partnerships function under value-based care.

While bundled payment initiatives are not new, TEAM expands accountability across a broader mandatory footprint and places renewed emphasis on coordination during the critical 30 days following discharge. For home health agencies operating in TEAM markets, the first several months of 2026 have highlighted both the opportunities and operational challenges that come with this new environment.

AI in Home-Based Care: A Practical Guide for Providers

Mosai — Tue, 09 Jun 2026 10:37:04 GMT

Artificial intelligence is rapidly reshaping healthcare—but nowhere is the opportunity more immediate than in home-based care.

Home health and hospice organizations are facing rising patient demand, persistent staffing shortages, increasing documentation complexity, and growing pressure to improve quality outcomes while controlling costs. At the same time, care teams are expected to make faster decisions with less time and fewer resources.

This is where AI can create measurable impact.

When applied correctly, AI helps providers move beyond reactive workflows toward proactive, data-driven decision-making. It can surface risk earlier, streamline administrative tasks, improve operational efficiency, and support clinicians with actionable insights at the point of care.

But healthcare providers are not looking for hype.

They need AI solutions that are clinically grounded, transparent, explainable, and proven in real-world care environments.

That distinction matters.

The future of AI in healthcare will not be defined by flashy technology alone. It will be defined by whether clinicians can trust the insights being delivered and whether organizations can improve patient outcomes and operational performance in measurable ways.

This guide explores:

What AI means in home-based care
How providers are using AI today
The difference between automation and clinically informed AI
What to look for when evaluating healthcare AI solutions
Why predictive analytics and domain expertise matter
How Mosai approaches AI across the home-based care continuum

Right Care, Right Time: How VIA Health Partners Uses Predictive Insights to Elevate Hospice Quality

Mosai — Tue, 09 Jun 2026 10:03:22 GMT

Hospice organizations across the country are navigating rising clinical complexity, new regulatory expectations, and persistent workforce shortages. Delivering “right care, right time” is no longer aspirational — it is essential to quality, compliance, and patient experience.

VIA Health Partners, a nationally respected nonprofit serving 38 counties across North and South Carolina, has made this philosophy a defining part of its care strategy. As the organization expands upstream into palliative and geriatric primary care, VIA needed a way to support clinicians with clear, trustworthy guidance throughout the patient journey.

That is where Mosai Muse became central to VIA’s model.

How AI Transforms In-House OASIS Review: A Faster, More Accurate Path to Quality Home Health Documentation

cflynn@forcura.com (Charlie Flynn) — Tue, 09 Jun 2026 09:53:20 GMT

For home health agencies conducting in-house OASIS review, the process is time-intensive, manual, and highly vulnerable to human error. Referral packets can reach 150–200 pages, clinical documentation arrives inconsistently, and CMS guidance is nuanced. It’s no surprise nearly half of OASIS records require correction—leaving agencies exposed to audit risk, compliance gaps, and delayed billing.

Mosai Review, an AI-powered OASIS review solution, modernizes the in-house process by improving accuracy, accelerating turnaround time, and helping agencies stay aligned with CMS requirements. Here’s how in-house OASIS review works today—and how Mosai Review elevates it.

Signals, Not Noise: What We Heard at HC 100

Mosai — Mon, 11 May 2026 09:54:17 GMT

The real signal from Home Care 100 wasn’t about technology — it was about clarity.

At this year’sHome Care 100 (HC 100), conversations with home health and hospice leaders shared a common theme: the industry isn’t lacking tools.It’s struggling with fragmentation, cognitive load, and execution across an increasingly complex care journey.

What stood out most wasn’t any single product category or buzzword — it was a collective shift in how leaders are evaluating technology decisions heading into 2026.

Here are the signals we heard consistently: