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"McKnight's Home Care AI Forum"

AI: The New Standard in Home Care

In the current environment, in which home care agencies are grappling with a worsening labor shortage, skyrocketing turnover and tightening reimbursement margins, artificial intelligence no longer is a “nice-to-have" offering; it is an essential operational tool. The McKnight’s Home Care AI Forum is designed to provide leaders of home health, personal care and hospice agencies with a roadmap for integrating AI across their businesses — from clinical applications and staffing to back-office revenue generation and patient and family satisfaction.

 

Session 1, 10:30 AM ET, Sponsored by AlayaCare 

The state of AI in home care: Opportunities and obstacles

The race is on for AI. How is home care adapting, which applications are easiest to adopt and what safeguards should providers consider when using the technology? This webinar will provide an overview of AI use in the home health, personal care and hospice segments, and give both eager and reluctant providers knowledge to take their AI strategies to the next level. Participants will come away with the following:

• Practical applications for AI in the home care ecosystem
• AI's ROI on revenue, efficiency and staffing 
• Recommendations regarding governance and ethics

Speakers: 

• Adrian Schauer, Founder and CEO of AlayaCare

• Michelle Pickering, Chief Operating Officer of Momentum Healthcare & Technology Consulting

• Michael Slupecki, CEO of Griswold

• Betta Swanson, Chief Transformation Officer of Elara Caring

 

Session 2, 12:00 PM ET, Sponsored by Homecare Homebase

Defensible documentation in the age of AI: Managing risk in home health and hospice

This educational program will examine how AI-assisted documentation tools, including ambient listening technologies, introduces both operational efficiencies and new sources of regulatory and financial risk in home health and hospice. Designed for clinical leaders and directors, the session will review the Centers for Medicare & Medicaid Services’ expectations for accurate, complete and defensible documentation. It also will cover common failure points in AI-generated notes, including omissions, hallucinations and automation bias.

Speakers will examine how clinical documentation practices affect medical necessity, audit outcomes and organizational risk. Emphasis will be placed on the clinician’s role in validating AI-generated content and on leadership responsibility in establishing workflows, expectations and oversight that support compliance and defensible practice.

Attendees will leave with the following:

• The benefits and risks of AI-assisted documentation tools. 
• Practical considerations for implementing AI in a way that protects patient safety, reimbursement integrity and regulatory compliance.
• An understanding of optional tools that can be used for staff education.

Speakers: 

• Michelle Barlow, RN, BSN, Director of Clinical and Regulatory Excellence of Homecare Homebase

• Amelia Black, RN, Clinical Content Analyst of Homecare Homebase

• Ryan Stanley, Clinical Regulatory Analyst of Homecare Homebase

 

Session 3, 1:30 PM ET, Sponsored by Eleos Health

How to scale AI in home-based care: From testing to measurable impact

Most AI initiatives in home health and hospice follow a familiar pattern: a promising pilot, a hopeful rollout and then a quiet stall. The technology gets shelved, the team grows skeptical, and the next evaluation cycle starts from scratch — with none of the organizational learning from the last one.

The problem is rarely the technology. It's the absence of a clear framework for how AI gets evaluated, implemented and scaled inside complex care-at-home organizations — and fear of the real costs of getting that wrong. In this webinar, home care leaders will share what they've learned about what separates organizations that successfully scale AI from those still stuck in evaluation mode.  

By the end of this session, attendees will be able to:

• Identify the most common reasons AI pilots in home health and hospice fail to scale — and how to avoid them
• Describe the leadership, measurement and implementation decisions that separate successful AI adoption from prolonged evaluation
• Apply a practical framework for assessing their organization's readiness to move from AI pilot to operational deployment

Speakers: 

• Christy Doneff, AVP of Partnerships at Eleos Health
• Michael P. Johnson, Chief Researcher, Home Care Innovation, BAYADA

Offered Free by: McKnight's Home Care
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