AAOE's Virtual AI Summit

Session Schedule

 12:00 - 1:00 PM ET

Opening Keynote

Transforming Healthcare with AI: From Myths to Mastery  

 
Join us for an inspiring and human-centric journey into the future of healthcare, where technology meets patient-centered innovation. In this presentation, we'll explore the expansive role of AI across a typical hospital value chain, from enhancing patient consultations to revolutionizing radiology reporting.  

 
We'll demystify AI by tackling common misconceptions and sharing real-world experiences, focusing on the human impact rather than just the technological advantages. Discover why CAD is not AI and learn about the practicalities of AI implementation, including its strengths and limitations in triaging. 

Learning Objectives: 

• Understand the Role of AI in Healthcare: Participants will be able to explain how AI is integrated into various stages of the hospital value chain, including patient consultations, radiology reporting, and patient history analysis. 

• Identify Key Use Cases of AI in a Hospital Setting: Participants will be able to describe specific applications of AI in healthcare, such as AI-powered radiology reading (including mammography), patient consultation, and patient engagement. 

• Differentiate Between AI and CAD in Healthcare: Participants will be able to articulate the differences between Computer-Aided Detection (CAD) and Artificial Intelligence (AI), and understand why CAD is not considered AI. 

• Evaluate the Human Impact of AI in Healthcare: Participants will be able to discuss the human-centric aspects of AI implementation in healthcare, focusing on patient-centered innovation and the real-world experiences and benefits for patients. 

• Assess the Practicalities of AI Implementation: Participants will be able to evaluate the practical challenges and considerations of implementing AI in healthcare, including its strengths and limitations in tasks such as triaging and prior authorization processes. 

Speaker: 

Matteo Trisolini Longobardi is an innovative design strategist with 18 years of experience driving impactful solutions in the medical device industry. At Siemens Healthineers, he excels in crafting “where to play'” and “how to win” strategies. Matteo leads design sprints, innovation workshops, and international user research to validate new products and services. 

In 2023, he presented AI and Generative AI use cases at RSNA and is currently involved in an AI pilot for Chest CT Lungs, Mammography, and Brain imaging.  

Passionate about healthcare innovation, growth and medical ventures, Matteo continuously seeks transformative and entrepreneurial opportunities. 

 1:00 - 1:30 PM ET

AI in Orthopedics: Transforming Healthcare Practice 

Join us for an insightful session on "AI in Orthopedics" where we delve into the transformative power of artificial intelligence in the field. Discover the various types of AI learning and understand the advantages of supervised versus unsupervised learning methods. Learn to navigate common AI pitfalls and avoid potential troubles. Uncover practical strategies to deploy AI in your practice, boosting productivity and reducing overhead costs. This session is designed to equip you with the knowledge and tools to harness AI effectively, ensuring your orthopedic practice stays at the forefront of technological advancements. 

Learning Objectives: 

After this session, attendees will: 

• Gain a comprehensive understanding of various AI learning types and their applications. 

• Learn the benefits of supervised and unsupervised learning methods to optimize your AI strategies. 

• Identify common AI pitfalls and learn how to avoid them to ensure smooth and successful implementation. 

• Be able to explore practical ways to deploy AI in your office, enhancing productivity and lowering overhead costs. 

Speaker: 

Grant Muller, MD, CEO, GaleAI Health

 1:30 - 2:00 PM ET

Unlocking the Benefits of AI in Orthopedic Care

Join us for an insightful session that delves into how artificial intelligence is revolutionizing orthopedic care and how practice leaders can harness these advancements to enhance operational efficiency, patient care, and overall practice growth. Our speakers will discuss strategic implementation of AI technologies, addressing both the clinical and administrative aspects of orthopedic practice management. Discover how AI is revolutionizing orthopedic practice and learn how to leverage these advancements in your own clinical setting.

Learning Objectives: 

• Gain a comprehensive understanding of how AI can transform orthopedic practice from both clinical and administrative perspectives.
• Understand the current and potential applications of AI in orthopedic practices.
• Explore real-world examples and case studies of successful AI implementation in orthopedics.
• Get a glimpse into the future of AI in orthopedics, including emerging trends and potential advancements on the horizon.

Speaker:

Molly Van Oordt, Director of Specialty Solutions, NextGen, excels in transforming and aligning practices for success, guiding healthcare organizations to achieve positive outcomes through tailored strategies. With a wealth of experience and a consultative approach, Molly has built a reputation for addressing specific client needs effectively. Her expertise in navigating the complexities of healthcare, coupled with a deep understanding of both technical and medical domains, allows her to help healthcare providers traverse the challenges of healthcare with confidence and efficiency.  

 2:05 - 2:50 PM ET

Legal Consideration for AI in Health Care 

Machine learning and artificial intelligence (AI) is currently being implemented and projected to grow in areas of radiology (image recognition), robotic surgery, high-risk patient identification, helping pharmacological decision-making, and assisting with documentation. This technology is also currently being used with insurers and managed care organizations. 

These innovative technologies have raised new legal and regulatory considerations. Areas of concern include transparency of use with patients, proper consent and disclosure, privacy and discrimination. AI has the potential to develop disparities in patient care resulting from discriminatory algorithms in systems. Healthcare executives need to understand how AI is incorporated into their system was designed and the quality assurance measures used to ensure fairness, effectiveness, and safety in output. Healthcare executive and providers alike must also know the proper disclosures regarding AI to patients including why it is being used and how it affects care. Additionally, disclosures are needed regarding privacy of patient information and measures being taken to protect this information concerns. Other potential legal considerations include malpractice concerns, reimbursement factors, and False Claims Act implications. 

Learning Objectives: 

• Current AI and projected for future use in the next 5 to 10 years. 

• Highlight current AI enforcement cases with Center for Medicare and Medicaid Services, Health and Human Services (HHS) Office of Inspector General, HHS Office of Civil Rights, and state level enforcement. 

• Discuss current regulatory framework on federal and state level for implementing and using AI in health care. 

  • HIPAA Consideration 

  • Non-Discrimination compliance with Affordable Care Act. 

• Review reimbursement requirements with federal and state healthcare programs and considerations for claims utilizing AI. 

• Discuss limitations on insurers and managed care organizations’ use of AI in prior authorizations and claims. 

• Developing a clear use case and how to develop a risk mitigation plan, especially for AI in clinical decision-making. 

Speaker: 

Rachel Carey, Counsel, Whiteford, Taylor & Preston LLP. Ms. Carey's practice spans the health care landscape, with a particular focus on regulatory compliance, reimbursement and related health care issues. She provides clients with practical and value-additive counsel, leveraging her extensive legal experience and background working at managed-care organizations to offer key insights into developing best reimbursement practices. She regularly works with various health care providers, from independent practitioners and start-ups to large health systems, long-term care providers, and substance abuse treatment and behavioral health providers. 

 2:50 - 3:20 PM ET

AI Adoption Challenges the Status Quo: Are You Ready for Improved Performance? 

The adoption of AI in healthcare is at a critical juncture, balancing between academic curiosity and practical implementation. The challenges are real, but so are the opportunities. As the industry navigates the complex landscape of AI adoption, a focus on education, cultural transformation, strategic investments, and a keen eye on emerging trends will be crucial for success. Healthcare organizations are focusing AI initiatives on enhancing revenue cycle efficiency and overall performance. Ambient provider documentation, autonomous coding, and payer rules engines are at the forefront of this transformation, promising tangible solutions for organizations looking to adapt and thrive.  

Learning Objectives:  

After this session, attendees will: 

• Be able to identify business problem(s) and applicable use of AI. 

• Understand the need for C-suite buy-in and capital investment and prepare for skepticism and the necessity of continuous improvement exercises. 

• Learn to track ROI, efficiency gains, and financial performance to determine next steps for expanding the use of AI technology and achieving further efficiency gains. 

• Explore the projected impact of AI in healthcare over the next three years. 

• Identify strategies to prepare and engage your organization for future AI advancements. 

Speakers: 

Kyle Swarts is the President of aiHealth, where he oversees operations, client success, business development, marketing and strategic partnerships. He has more than 15 years of experience serving in a variety of leadership roles within healthcare consulting, revenue cycle management, value-based care, and information technology companies. Kyle is a strategic leader who provides deep insights, solutions, and business value to C-suite and senior leaders at academic medical centers, integrated delivery networks, physician groups and health plans nationwide.  

Curtis Mayse, Vice President, Business Development & Strategy, aiHealth & CEO of Steamboat Orthopaedic & Spine Institute.  Curtis is a healthcare executive and advisor with more than 30+ years of experience directly running and serving as a consultant for orthopedic groups, large multi-specialty surgical groups, medical practices and other healthcare organizations. He has served a wide variety of clients nationally, including medical groups, ambulatory surgery centers and community hospitals focusing mainly on creating profitable and sustainable practice operations to drive organizational success. Prior to joining aiHealth, Curtis served as a Healthcare Principal at CliftonLarsonAllen, LLP, Senior Manager at ECG Management Consultants and is currently with Steamboat Orthopaedic & Spine Institute. 

Mary Lindahl, CPC, COC is the Coding Manager at Revo Health, where she oversees all coding operations, including staff supervision, auditing, and collaboration with practitioners and clinic managers to ensure coding needs are met. With over 30 years of experience in the medical field, Mary is dedicated to continuous process improvement amidst the rapidly evolving healthcare landscape. She has extensive experience in leading both professional and facility coding departments across three hospitals, Home Health and Hospice, and all clinic locations. Mary holds a BA and is a Certified Professional Coder (CPC) and Certified Outpatient Coder (COC), bringing extensive expertise and a results-oriented approach to Revo Health's coding operations.

 3:25 - 4:20 PM ET