Protecting OASIS & HOPE Accuracy through Education and Responsible AI Solutions
Baltimore, MD – March 17-20, 2026
For more than 20 years, OASIS Answers has set the standard for CMS-grounded OASIS education. The 2026 COS-C / CHS-C Conference brings home health and hospice professionals together to prepare for OASIS-E2, evolving HOPE guidance, and the growing role of AI in clinical data accuracy.
Choose an OASIS Track, HOPE Track, or combined experience, get exam-ready for open-book COS-C or CHS-C certification, and learn how responsible AI supports efficiency and compliance—without replacing clinical judgment. Leave with the clarity, confidence, and credibility to lead data integrity and AI conversations in your organization.
All attendees will come together for a dedicated day focused on the use of AI to support OASIS and HOPE efficiency and accuracy. Learn from experts about how AI-enabled technology interacts with current CMS requirements and explore practical, real-world applications for documentation, coding, and review.
Engage in small-group or one-on-one demos with home health and hospice technology partners showcasing current and upcoming AI-supported OASIS and HOPE coding and audit tools. Hear directly from clinicians who are already using AI solutions – what’s working, what safeguards they rely on, and how they maintain clinical judgment and compliance.
This unique convening of experts and end-users is an important forum to ask exciting and hard questions, surface opportunities and risks, and ensure the clinician voice – those most impacted by AI implementation – actively shapes the conversation and the path forward.
The Clinician’s Role in AI adoption for OASIS HOPE Use Cases
Vice President Home Care / VNS Health
PT, MPA
Implementing AI for OASIS & HOPE – Pilot Design, Pitfalls, and Success Metrics
Director of Quality / Pennant Services
MSPT
From the Field: Our Experience (so far) with AI Solutions for OASIS
Clincial Specialist / In My Team
PT, DPT
Smarter Referrals, Faster Care: The Role of AI Before the Home Health Admission
AI Nurse / Enzo Health
LPN, HCS-D, HSC-O
The Smart Assessment Visit: Using Ambient Listening to Support OASIS Documentation
RHIA, HCS‑D, COS‑C
Chief Product Officer, Select Data
OASIS Training
AI Day – Beyond the Hype
COS-C Exam
HOPE Training
CHS-C Exam
Day 2
Day 3
Day 4
March 17
OASIS Training Part 1
March 18
OASIS Training Part 2
March 19
AI Day
COS-C Exam (am)
Add On
March 17
OASIS Training Part 1
March 18
OASIS Training Part 2
March 19
AI Day
March 20
HOPE Training (am)
CHS-C Exam
Add On (pm)
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March 19
AI Day
March 20
HOPE Training (am)
CHS-C Exam
Add On (pm)
COS-C Exam available Friday, March 20 at 9:00 – 11:30 AM EDT
CHS-C Exam available Friday, March 20 at 2:00 – 4:30 PM EDT
Artificial Intelligence refers to computer systems designed to perform tasks that normally require human intelligence, such as learning, problem-solving, pattern recognition, and decision-making.
Artificial Intelligence refers to computer systems designed to perform tasks that normally require human intelligence, such as learning, problem-solving, pattern recognition, and decision-making.
Artificial Intelligence refers to computer systems designed to perform tasks that normally require human intelligence, such as learning, problem-solving, pattern recognition, and decision-making.
Artificial Intelligence refers to computer systems designed to perform tasks that normally require human intelligence, such as learning, problem-solving, pattern recognition, and decision-making.
session:
This session explores the evolving landscape of OASIS data collection and auditing, with a focus on the challenges and opportunities associated with AI-augmented solutions. Distinct phases in the Admission workflow where AI can be leveraged to support OASIS efficiency and accuracy will be identified as the use case framework for the day’s presentations. The presentation will offer insights and questions for the audience to consider as AI-enabled solutions are presented and providers share their first-hand experiences with piloting and adopting AI technologies into the OASIS & HOPE workflows. The session will emphasize the critical role of experienced and invested clinicians in the process of development, responsible use, and refinement of OASIS and HOPE related AI tools.
Director of Quality / Pennant Services
MSPT
session:
Hear practical insights from Pennant Services’ Director of Quality on their experiences piloting AI solutions to support OASIS tasks. Darrin Butler shares lessons you only get from doing, related to workflow fit, adoption realities and AI accuracy.
Clincial Specialist / In My Team
PT, DPT
session:
AI-enabled intake can give intake staff and the assessing clinician a smarter head start to patient admission. By rapidly reviewing and organizing the referral packet (orders, discharge paperwork, F2F, H&P, meds, therapy notes, etc.), AI can deliver a concise pre-visit summary and suggest relevant OASIS codes for clinician review. This session will demonstrate how AI can support faster starts of care, cleaner documentation, and stronger data integrity without risking high standards of care or shifting clinical responsibility.
AI Nurse / Enzo Health
LPN, HCS-D, HSC-O
session:
This session explores how ambient listening technology can capture the assessment visit in real time to support OASIS data population and generate a clear, comprehensive clinical narrative. We’ll walk through how AI can assist the assessing clinician by surfacing relevant visit details, reducing documentation burden, and supporting accuracy without disrupting workflow. The session will also focus on the guardrails required for responsible use, including patient consent and privacy, clinician review and verification, clear source-to-output traceability, and overall documentation integrity.
Vice President Home Care / VNS Health
PT, MPA
session:
Roger Herr shares a real-world, end-to-end walkthrough from VNS Health’s experience piloting multiple AI solutions to support OASIS completion. This “connecting the dots” session ties together the day’s concepts – from defining the specific problem to solve, to selecting the right workflow use case, to designing and executing a pilot with intentional governance & clinician oversight, to evaluating success using measurable cost, quality and compliance metrics. Attendees will leave with valuable insights they can adapt to their own organization’s AI projects.
Session:
Select the path that best fits your professional development goals. All tracks include our exclusive AI day.
Days 1-2:
Day 3:
Advanced
Late/on-site
2-day Blueprint for OASIS Accuracy workshop (Mar 17-18)
AI Day: Beyond the Hype (Mar 19)
600+ page Blueprint Handout
Interactive Workshops
Expert Q&A Sessions
Networking Opportunities
Nursing Contact Hours
Available exam add-on
+ COS-C Exam (Mar 20, 9 AM)
+ CHS-C Exam (Mar 20, 2 PM)
Days 1-2:
Day 3:
Day 4:
Advanced
Late/on-site
2-day Blueprint for OASIS Accuracy workshop (Mar 17-18)
½-day HOPE in Action workshop (Mar 20-am)
AI Day: Beyond the Hype (Mar 19)
600+ Page Blueprint Handout
150+ page HOPE in Action Handout
Interactive Workshops
Expert Q&A Sessions
Networking Opportunities
Nursing Contact Hours
Available exam add-on
+ CHS-C Exam (Mar 20, 2 PM)
Day 3:
Day 4:
Advanced
Late/on-site
1/2 Day HOPE in Action workshop (Mar 20-am)
AI Day: Beyond the Hype (Mar 19)
150+ page HOPE in Action Handout
Interactive Workshops
Expert Q&A Sessions
Networking Opportunities
Nursing Contact Hours
Available exam add-on
+ CHS-C Exam (Mar 20, 2 PM)
