As such, our members receive the HIMSS member rate to attend. To register, visit HIMSS24 General Registration and sign in. Once on the General Registration page, select the Chapter or Collaborator tab on the left-hand side. Select your preferred HIMSS24 Pass and enter ACCE as the Referring Collaborator Organization and code: H24ACCE to receive the HIMSS member rate on registration.
2024 ACCE CE-IT Symposium (pre-HIMSS24)
Topic: Implementing Emerging AI Tools and Medical Device Technologies in Healthcare
Date/Time: Monday, March 11, 2024 / 8:30 am - 4:25 pm
9801 International Dr., Orlando, FL 32819
AI technologies continue to disrupt healthcare in various domains. How to best leverage these new AI tools and how to stay ahead of the curve with their rapid expansion? Join this ACCE CE-IT Symposium” Implementing Emerging AI Tools and Medical Device Technologies in Healthcare” to learn more!
During this symposium, we will explore the practical challenges associated with implementing emerging AI technologies in the healthcare sector. Our distinguished team of expert speakers will delve into a diverse array of AI applications and discuss about the impacted technologies. Topics covered will include governance and data protection, radiology modalities, regulatory impacts, and implementation challenges, among others.
Uncover how AI is not only enhancing patient care but also impacting some of the very foundations of healthcare operations. Our expert speakers will share their early adopter insights, unveiling the strategies that led to their success, and providing invaluable tips on avoiding common pitfalls.
Beyond the technical aspects, we'll also examine AI from a strategic standpoint. How can you develop an AI strategy tailored to your organization's unique needs? How to develop a partnership of Clinical Engineering, IT and Clinical teams in implementing AI Technologies? Is an AI Council necessary to govern these applications effectively? How can you ensure that these technologies and tools yield the maximum value for your organization? Engage in insightful panel discussions with industry leaders representing healthcare organizations, the medical device industry, and researchers.
Don't miss this opportunity to stay at the forefront of healthcare's AI revolution!
| 8:30AM - 8:45AM
| 8:45AM - 9:45AM
Session 1: AI Needs You! A Call to action for clinical engineering
Speaker: Erin Sparnon, MEng.
With active machine learning for clinical technologies on the horizon, clinical and biomedical engineers must be ready to serve as champions for safe and effective development and use of these new technologies. Erin Sparnon has seen medical and digital health technologies at their best and worst over her 20+ years of safety research and investigations at ECRI, and specializes in translating between clinical and technical stakeholders when it comes to complex safety issues. This session will introduce how AI and ML are utilized in the development and design of health technologies, where this intersects with patient care, and how to assess benefits and risks in a practical manner based on historical examples. Attendees will leave ready to apply their hard-won skills in governance, troubleshooting, and risk management to AI/ML.
| 9:50AM - 10:35AM
Session 2: Advancing Organizational AI Maturity: Strategies for Cultivating a Culture of Innovation and Collaboration
Speakers: Mark Nielsen, MLOps Engineer and Olivia Sanders, Intermountain Health
Achieving organizational AI maturity requires a multifaceted approach that encompasses culture, governance, business alignment, education, and internal partnerships. In this presentation, attendees will learn about the key components of an effective AI maturity model, including strategies for fostering a culture of innovation and collaboration, establishing robust governance frameworks, and aligning AI initiatives with business goals. The session will also explore best practices for upskilling employees and building internal tech partnerships that enable organizations to leverage AI technologies to their fullest potential. By the end of this presentation, attendees will have a comprehensive understanding of the steps required to advance their organization's AI maturity and drive positive outcomes for patients, caregivers, and stakeholders alike.
| 10:35AM - 10:50AM
| 10:50AM - 11:35AM
Session 3: Frontline Perspectives from the MedTech Industry: The Future of AI's Adoption in Radiology
Speakers: Peter Shen, Head of Digital & Automation – North America and Rita Risto, BHA, MRT, Digital Solutions & Automation Sales Specialist, Siemens Healthineers
As the field of radiology undergoes a transformation driven by artificial intelligence, providers find themselves at the crossroads of challenges and opportunities. Delivered through the lens of digital & automation leaders at the forefront of the MedTech industry, this session promises a deep dive into the challenges, opportunities, and future trends in AI adoption within the field of radiology. By learning from industry experts and exploring practical case studies, attendees will gain valuable insights to inform their own strategies in this transformative era of implementing artificial intelligence in radiology.
| 11:35AM - 11:50AM
PRESENTATION OF HIMMS-ACCE Excellence in CE-IT Award to Chris Falkner
To be presented by: Tammy Kwiatkoski/HIMSS + Erin Sparnon/Jim Panella for ACCE
11:35AM - 1:00PM
| 1:00PM - 1:45PM
Session 4: Modernizing HTM Using Predictive AI and Machine Learning
Speaker: Tom Stanford, founder & CEO, Nuvolo
Safety, performance and availability of medical devices, and the facilities they operate in are critical to quality patient care. Advancements in AI/ML are being tested within HTM and FM to better support these functional areas. As this technology continues to evolve and real-world use cases are proven, the adoption of AI/ML by HTM and FM teams will continue to grow. This session will enable participants to better understand AI/ML and how to use these emerging technologies in a pragmatic way with a goal of bringing together the HTM and FM communities to serve a common purpose…patient care.
| 1:50PM - 2:35PM
Session 5: Is Radiology the gateway to your enterprise AI strategy? Key use cases and lessons learnt
Speaker: Dr. Jamie Chow, Radiologist and Clinical Lead at Blackford Analysis
Radiology plays a key component in patient management and impacts a wide range of medical specialties. Today over 75% of FDA cleared AI-enabled medical devices are within radiology. This session will explore some of the clinical pain points being addressed by radiology AI today, lessons learnt by early adopters and the implications on non-radiology AI. Attendees will leave with an appreciation of why radiology can be a good starting point for their enterprise AI strategy and how they can get started today.
| 2:35PM - 2:50PM
| 2:50PM - 4:20PM
Partnership of CE, IT, and Clinical Teams in Implementing AI Technologies in Healthcare
Panelists: Peter Shen/Siemens Healthineers, Mark Nielsen/Intermountain Health, Tom Stanford/Nuvolo, Keith Whitby/Mayo Clinic, Kevin Littlefield/NCCoE,
David Hilderbrand/Blackford Analysis
Moderator: Phil Englert/Health-ISAC
- What are some of the keys to success in developing a partnership between CE. IT, and Clinical teams when implementing AI technologies?
- What AI technology related governance and policies does your organization have?
- Manufacturer - How do you approach delivering secure AI technologies?
- HDO - Does your organization conduct a security risk assessment as it relates to AI tools / technologies during procurement?
- How do you minimize technology challenges when implementing new AI technologies to guarantee caregiver buy in?
- What are the keys to wider AI technology adoption in the next 3 years?
| 4:20PM - 4:25PM
Special Thanks to our Sponsors