APIC AI Summit : The Impact of AI on IPC

5 CE/IPU

Tuesday, October15, 2024 from 9:00 am ET - 5:15 pm ET

Artificial Intelligence (AI) has become a pivotal force across most industries, transforming the way we live, work, and solve complex problems. It is revolutionizing infection prevention and control (IPC) as well as healthcare, ushering in a new era of efficiency, accuracy, and proactive management. AI is quickly gaining traction as machine learning is being applied to more efficiently address tasks that have required significant human intervention in the past. With the increases in technology, we are now seeing technology approaching or exceeding in some cases a human’s ability to do the same tasks. Yet, what sets AI apart is its capacity to learn and evolve continuously. AI possesses the capability to sift through vast data sets, decipher complex data, anticipate needs, recognize patterns, and make insightful predictions. The integration of AI into IPC reflects a commitment to improving patient outcomes, optimizing healthcare processes, and addressing ethical considerations in the application of AI technologies.  

This summit will help you understand the potential impact AI could have on the future of IPC and will present case studies and emerging research that demonstrates possible applications of AI to the field of IPC. We will provide tools for how IPs can become critical coaches in the deployment of these technologies within their organizations as the technology continues to emerge.    

Learning Objectives:  

1. Explore how AI can augment traditional IPC strategies and improve outcomes. 
2. Discuss how AI can optimize resource allocation and response strategies in IPC. 
3. Evaluate the effectiveness and challenges of implementing AI-driven solutions in real-world IPC scenarios.
4. Identify emerging trends and future opportunities for AI in advancing IPC practices. 

Continuing Education (CE) Credit: 

In support of improving patient care, The Association for Professionals in Infection Control and Epidemiology, Inc. (APIC) is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. 

 Nursing: 

• APIC designates this activity for 5 Nursing Contact Hours 

Physicians: 

• APIC designates this live course activity for a maximum of 5 PRA Category 1 Credits™ 
• Physicians should claim only the credits commensurate with the extent of their participation in the activity. 

IPUs: 

• APIC designates this activity for 5 infection prevention unit(s). 
• For more information, please see https://www.cbic.org/CBIC/Rece... 

9:00 – 9:15 am ET  

Welcome from Devin Jopp, EdD, MS  

APIC messaging around Potential Impact of AI and what to expect  

9:15 – 10:00 am ET  

Federal Government Efforts to Advance AI Solutions for Infection Prevention and Control 

Speaker: Susan Monarez, Ph.D. 

Moderator: Devin Jopp, EdD, MS 

Description: The US Federal government created the Advanced Research Projects Agency for Health (ARPA-H) to drive development of high-impact research to drive biomedical and health breakthroughs to deliver transformative, sustainable, and equitable health solutions for everyone.  This fireside chat will explore the implications of ARPA-H's groundbreaking work as it connects to the field of infection prevention and control  

Learning Objectives:  

1. Understand the purpose of ARPA-H and its impact on the IPC field.  

1. Learn core priorities of ARPA-H.  

1. Develop an understanding of how ARPA-H works to develop new innovations. 

10:30 – 11:30 am ET  

Leveraging AI for the Global Advancement of IPC 

Speakers:  

Shada AlSalamah, Ph.D., World Health Organization, Digital Health and Innovation, Geneva 

 WHO guidance on ethics and governance of AI for Health    

Alison Holmes, Professor of Infectious Diseases, Imperial College London, United Kingdom 

Perspectives on AI in the context of IPC 

Anna Odone, MD, MSc, MPH, Professor and Director of the School of Public Health, University of Pavia, Italy 

Systematic review on AI-based tools to control healthcare associated infections (HAIs)  

Moderator: Benedetta Allegranzi, MD, DTM&H 

Description: Explore how AI technologies are revolutionizing IPC. This session will delve into the latest AI-driven innovations that enhance early detection, streamline outbreak management, and optimize IPC practices in healthcare settings. Join this session to learn about real-world applications, challenges, and the future potential of AI in creating safer and more resilient healthcare environments. 

Learning Objectives:  

1. Understand how AI technologies are transforming IPC by enhancing early detection and outbreak management. 

1. Explore the latest AI-driven innovations and their practical applications in optimizing IPC practices within healthcare settings. 

1. Identify the challenges and future potential of AI in developing safer and more resilient healthcare environments. 

12:00 – 12:45 pm ET  

Case Study: Leveraging AI to Support Training with NHSN Surveillance Definitions 

Speaker: Kelly Holmes, MS, CIC 

Moderator: Elizabeth Wallace, MPH, CIC, FAPIC 

Description: A validated test bank of forty-two surveillance scenarios has been developed to train and improve inter-rater reliability among infection preventionists. Case studies were imported into Chat-GPT-4o to assess the ability of the artificial intelligence operating system to correctly code and provide rationale for healthcare acquired infections using 2024 NHSN surveillance definitions. Case studies covered concepts of CAUTI, CLABSI, Secondary BSI, Date of Event, Repeat Infection Timeframe, SSI, VAE, LABID, SBAP, location of attribution, and location mapping. Rationale generated by correct AI scenarios can be a valuable tool in training infection preventionists to code hospital-acquired infections. 

Learning Objectives:  

1. Determine strengths and limitations of Chat-GPT-4o at applying 2024 NHSN surveillance definitions. 

1. Discuss utilizing AI as a tool to train infection preventionists to code hospital acquired infections. 

1:30 – 2:15 pm ET  

AI and Genomic Surveillance for Healthcare Outbreaks  

Speaker: Alexander Sundermann, DrPH, CIC, FAPIC   

Moderator: Patricia Jackson, RN, BSN, MA, CIC, FAPIC 

Description: This session will explore the integration of artificial intelligence (AI) and whole genome sequencing (WGS) surveillance in enhancing the detection and investigation of healthcare-associated bacterial outbreaks. Drawing from recent research and real-world application, this presentation will highlight how the Enhanced Detection System for Healthcare-associated Transmission (EDS-HAT) leverages AI to automate the identification of transmission routes, thus improving the speed and accuracy of outbreak investigations. Attendees will gain insights into the practical implementation of AI in IPC and its potential to transform traditional surveillance methods. 

Learning Objectives:  

1. Explore the Practical Application and Benefits of EDS-HAT. 

1. Understand the Development, Integration, and Limitations of AI and Genomic Surveillance. 

1. Evaluate the Impact of AI on Healthcare Outbreaks. 

3:00 pm – 3:45 pm ET   

Leveraging Private Sector AI Innovation to Solve Real World IPC Challenges  

Speakers: 

Fabien Beckers, Ph.D., Senior Executive, X - The Moonshot Factory 

Jackie Blanchard, Vice President of Nursing Excellence and Infection Prevention, HCA Healthcare    

Roy Boukidjian, System Vice President for Infection Prevention and Interim Patient Safety Officer, CommonSpirit Health   

Moderator: Tania Bubb, PhD, RN, CIC, FAPIC 

Description: Google X was designed to create radical new technologies to solve some of the world’s hardest problems.  Infection Prevention and Control certainly rises to the level as a difficult challenge and this session brings together Google X and some leading IP thought leaders to explore core focus areas where AI-powered innovation and solve some of today’s leading IPC challenges.  

Learning Objectives:  

1. Understand Google X’s role in driving innovation to address IPC challenges.  

1. Learn from IP leaders some areas that they see AI impacting IPC. 

1. Develop an understanding of how private sector technology and healthcare can partner to develop real-world solutions.  

4:15 pm – 5:00 pm ET   

 CIOs and IPs Unite: Exploring the Future Impact of AI on Hospital IPC Programs     

Speakers:  

Sarah Smathers, MPH, CIC, FAPIC, System Director of Infection Prevention and Control, Children's Hospital of Philadelphia (CHOP) 

Bimal Desai, MD, MBI, FAAP, Assistant Vice President and Chief Health Informatics Officer, Children's Hospital of Philadelphia (CHOP) 

Deborah Ellis, PhD, MS, MPH, CIC, LTC-CIP, CPHQ, System Director, Infection Prevention & Control, Alameda Health System 

Mark Amey, Chief Information Officer, Alameda Health System 

Moderator: Carol McLay, DrPH, MPH, BSN, RN, CIC, FAPIC 

Description:  As hospitals continue their journeys to implement AI to improve operations and outcomes, unique opportunities exist to leverage new AI-powered tools to improve infection prevention and control.  Two CIOs and IPs will join a panel discussion to explore the future landscape and potential impact of these tools.  

Learning Objectives:  

1. Gain an understanding of near and far-term AI solutions that may impact IPC programs.  

1. Understand how IPs and CIOs can work together to bring new AI-powered IPC solutions to reality.  

1. Develop an understanding of the challenges and hurdles associated with these new innovations.  

 5:00 pm – 5:15 pm ET   

Closing remarks from Tania Bubb, PhD, RN, CIC, FAPIC

  Additional pre-recorded content presented at APIC24  

Impact of AI on IPC  

Ruth Carrico, PhD, DNP, APRN, CIC, FSHEA, FNAP, FAAN and Tim Wiemken, PhD, MPH, FAPIC, CIC