1 IPU

Tuesday, October 20, 2026 from 1:15-3:00 pm ET

Presentation 1: "Utilization of an Infection Prevention Chatbot for frontline Caregivers"

Speaker: Evan Sylvester, MPH, AL-CIP, LTC-CIP, CIC, WFR, MT(ASCP)CM

This session introduces participants to a centralized Infection Prevention chatbot built in Copilot Studio, designed to serve frontline nurses and physicians across 13 hospitals. Attendees will explore how the chatbot supports real-time clinical decision-making, reduces reliance on Infection Prevention staff, and ensures standardized guidance across multiple facilities. The session combines demonstrations of live interactions, analytics interpretation, and optimization strategies for improving adoption and accuracy.

Key themes:
1)Real-world use of AI chatbots for Infection Prevention.
2)Standardization of protocols across multi-hospital systems.
3)Interpreting data analytics for performance and knowledge coverage.
4)Strategies to continuously improve user adoption and chatbot resolution rates

Presentation 2: "Transforming Public Health Reporting with Scalable, Intelligent Automation"

Speaker: Jessica Chalk, RN

Background: Timely and accurate reporting of communicable diseases is an essential element of effective infection prevention programs. However, manual completion of Confidential Morbidity Report (CMR) forms is time consuming and presents operational challenges for frontline clinicians. To address these challenges, our health system implemented a scalable automation initiative to modernize reporting across a large, multi-site care delivery network.

 
Methods: In collaboration with an external partner, we developed an automated solution that extracts structured data from multiple electronic health record (EHR) platforms, generates CMR forms, and securely transmits them to 41 local health jurisdictions. This automated process standardizes reporting, supports secure encrypted data transmission, and strengthens public health partnerships.

 
Results: Between January and June 2025, 9,453 CMR forms were submitted electronically, saving an estimated 788 to 1,103 hours of provider time. Automation reduced administrative burden, improved reporting timeliness, and enhanced compliance to reporting requirements. Areas for improvement were identified in data completeness and case detection accuracy.

Conclusions: Automated public health reporting strengthens the interface between infection prevention and the local health jurisdiction, enabling faster, more reliable disease investigation and response. Identification of reportable conditions using lab results and diagnosis codes requires careful calibration to balance sensitivity and specificity. These remain active areas of focus as we refine our approach to improve accuracy, consistency, and system performance. Further enhancements include a dashboard which leverages historical disease thresholds to detect emerging outbreaks and flag anomalies in reporting trends, supporting early investigation and improve data integrity. This initiative offers a replicable model for healthcare systems seeking to modernize public health reporting through intelligent automation.

IPUs: 

• APIC designates this activity for 1 infection prevention unit(s). 
• For more information, please see https://www.cbic.org/CBIC/Rece... 

1 IPU

Tuesday, October 20, 2026 from 10:00 am ET - 11:45 am ET

Speakers: Tia Johnson MSHS, MT(AMT), CIC and Katharine Hoffman

Infection preventionists juggle urgent clinical demands, evolving guidelines, and a growing need for well-crafted policies and program infrastructure—often with limited time and support. Enter ChatGPT: your new AI-powered brainstorming partner, policy assistant, and documentation sidekick. This rapid-fire session explores how to leverage ChatGPT for developing infection prevention programs, drafting and refining policies, and generating supporting materials such as job aids, risk assessments, and surveillance protocols.

You’ll learn how to craft prompts that yield useful, accurate outputs aligned with evidence-based practice and regulatory standards. We’ll cover best practices for using ChatGPT to support decision-making, accelerate writing, and enhance team collaboration without sacrificing accuracy or professional integrity. Real-world examples will be shared, with live demonstrations of how to go from ""code red"" gaps to ""code written"" solutions in minutes—not weeks.

Whether you're leading a new initiative, revising outdated protocols, or trying to wrangle that policy binder into shape, this session will give you the tools to work smarter (not harder) with AI. No tech experience required—just curiosity and a willingness to think outside the binder.

IPUs: 

• APIC designates this activity for 1 infection prevention unit(s). 
• For more information, please see https://www.cbic.org/CBIC/Rece... 

3 IPU

Tuesday, October 20, 2026 from 10:00 am ET - 3 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. 

IPUs: 

• APIC designates this activity for 3 infection prevention unit(s). 
• For more information, please see https://www.cbic.org/CBIC/Rece... 

1 IPU

Tuesday, October 20, 2026 from 10:00 am ET - 11:45 am ET

10-10:15 am ET: Opening of Program (Devin Jopp, CEO APIC)

10:15-10:45 am ET: Keynote Speaker

10:45-11:45 am ET: Session 1: What Infection Preventionists Need to Know About Artificial Intelligence: A Practical Framework for Informed Engagement

Speaker: John Delano

Artificial intelligence (AI) is rapidly entering healthcare operations, but for most infection preventionists (IP), the gap between what AI promises and what it actually delivers in infection prevention and control (IPC) practice remains wide. This session translates a collaboratively developed ""Ten Key Points"" framework into a practical, evidence-grounded overview designed to help IPs move from uncertainty to informed engagement. Rather than showcasing a single AI product or pilot, this session takes a field-level view: What types of AI tools are IPs most likely to encounter? Where does published evidence suggest these tools have the most traction in IPC, and where do significant gaps remain? What organizational, data quality, workforce, and governance factors determine whether AI tools succeed or fail in practice? And critically, what readiness questions should IP teams be asking before adoption?

 
The session is structured around four content blocks drawn from the Ten Key Points framework, each pairing core concepts with illustrative examples from recent IPC literature:
AI foundations for IPs -- distinguishing AI types (machine learning, Natural language processing (NLPs)/Large language models (LLMs), generative AI), understanding what each is designed to do, and recognizing that AI supports but does not replace IP judgment.
Where AI meets IPC practice -- current and emerging applications in HAI surveillance and case finding, predictive analytics for targeted prevention, and compliance monitoring and communication workflows, with specific examples from published studies.
What makes AI work (or fail) in practice -- data quality, standardized definitions, bias and fairness considerations, human factors including alert fatigue and overreliance, and the critical role of workflow fit.
Governance, ethics, and readiness -- privacy, accountability, transparency, and a structured set of readiness questions IP teams can apply before adopting any AI tool.

 
Learning Objectives:
Upon completion of this session, participants will be able to:
Differentiate between machine learning, natural language processing, large language models, and generative AI and describe how each may apply to infection prevention work.
Identify at least three IPC application areas where AI tools are being explored, including their current evidence base and practical limitations.
Identify key readiness questions IP teams should consider before adopting an AI tool in infection prevention and control.

IPUs: 

• APIC designates this activity for 1 infection prevention unit(s). 
• For more information, please see https://www.cbic.org/CBIC/Rece... 

0 CE/1 IPU

IP INSIGHT PANEL: CASE STUDIES

*PLEASE NOTE: LIVE ATTENDANCE IS REQUIRED FOR THIS WEBINAR AS THERE WILL NOT BE A RECORDED/ON DEMAND VERSION OF THIS WEBINAR.

From Concept to Containment: How AI Brought Dinosaurs and Magic to Infection Prevention Education

Thursday, August 6, 2026 @ 1 pm ET

Jess Fargher

Discover how an Infection Preventionist uses AI tools like ChatGPT, Copilot, Canva, and Adobe Firefly to create imaginative, copyright-safe educational content. This session highlights a real-world case study featuring a dinosaur-themed infection prevention video and a fantasy-inspired training module. Explore the potential of AI in crafting scripts, enhancing visual content, and increasing engagement. By streamlining workflows, AI enables the production of customized educational materials that leave a lasting impression and foster compelling learning experiences.

Learning Objectives

1. Describe how AI tools can be used to design and deliver creative, theme-based infection prevention education while avoiding copyright concerns.

2. Identify strategies to integrate AI into content development processes, including scripting, visual creation, study tools, and video production, to enhance learner engagement and promote sustainable education practices.

AND

Drowning in Rounds data as your survey window approaches? AI to the rescue!

Jonathan Schouest

This presentation will detail a use case and case study for AI tools in IPC which involves utilizing AI to analyze, categorize and prioritize large regulatory rounds datasets for operational as well as strategic use by IPC in identifying risks, closing practice gaps and prioritizing action in preparation for survey by regulatory bodies.

Learning Objectives:

1. Assess the impact of AI-driven data analysis on identifying risks, practice gaps, and prioritizing actions to improve survey readiness in IPC programs.

(Blooms Taxonomy Cognitive level: Evaluate)

2. Implement basic prompt engineering skills to design effective AI prompts and other input language for this type of data analysis. (Blooms Taxonomy Cognitive level: Apply)

Continuing Education (CE) Credit: 

IPUs: 

• APIC designates this activity for 1 infection prevention unit(s). 
• For more information, please click HERE.

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 series 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. There are 2 standard webinars included in this series and 1 IP Insight Panel. APIC will also be hosting an AI Summit in October 2026.

See webinars in this series below.

0 CE/ 1 IPU

Enhancing Infection Prevention Through AI: Leveraging VA GPT, Microsoft 365 Copilot, TheraDoc, and Qualaris to Improve Quality and Outcomes for Veterans

Thursday, February 5, 2026 @ 1 pm ET

Trica A Lewis, MSN, RN, CIC, Jessica Mather, BSN, RN, and Daniel A. DeYoung, MSN, RN

This session will highlight how our Infection Prevention team successfully integrated advanced AI & digital tools - including VA GPT (Generative AI Assistant), Microsoft 365 Copilot (AI- first productivity assistant), Theradoc, and Qualaris – to drive measurable improvements in quality, efficiency, and outcomes within a Veterans Health Administration facility. Despite operating within the constraints of an outdated electronic health record (EHR), our team leveraged AI to enhance stakeholder collaboration, streamline the SOP review process, improve the aesthetic of our data and surveillance reports, and identify and calculate potential cost savings associated with HAI prevention. Attendees will gain practical, real-world examples of how these tools can be incorporated into daily IP workflows to support leadership decision making and operational success.

At the conclusion of this session, participants will be able to:

1.Describe practical ways to incorporate AI tools into daily Infection Prevention workflows to improve efficiency and time management. 2.Differentiate between AI tools and understand how effective prompting and keyword utilization impact the quality of AI-generated responses. 3.Identify resources and strategies to increase confidence and adoption of AI tools for weekly IP tasks, data interpretation, and stakeholder engagement.

0 CE/1 IPU

Is Gamified Simulation-Based Mobile (SiM) learning challenging the behavioural change?

Thursday, May 7, 2026 @ 1 pm ET

Anbuselvi Danapalan, PhD (c), MSN, RN, RM, FHEA, CIC

Research evidences determined that HH compliance remains suboptimal around the world, with an average of 59.6% compliance levels in intensive care units up to 2018, and extreme differences between High and Low-income countries (64.5% vs 9.1%). Out of every 100 patients in acute-care hospitals, seven patients in HICs and 15 patients in LMICs will acquire at least one health care-associated infection during their hospital stay (World Health Organisation 2024). Despite of WHO multimodal strategies, global, regional, national, local, and societal initiatives in place, yet there are invisible, hidden gaps and ingrained behaviours without accepting and realising the overestimation and confidence. This evidence depicts the demand for creating innovative digital training with the gamification concept. New “INNO IPAC” HH Game for HCWs developed based on the heutagogy approach with creative simulation-based gamified concepts to achieve the intended objective of improving the hand hygiene compliance rate and analysing the learner’s experience. This game was developed by incorporating experiential, transformative, problem-based learning experiences, real-time reminders and feedback, assuring user-friendly, voluntary active engagement and participation, achieving long-term memory and effective HH practice performance. This tool was validated by 25 experts in infection control, medicine, nursing, allied health, IT from UK, USA, Singapore, India, New Zealand, and Qatar. This tool is available in the Play Store and App Store.

Learning Objectives: 1. Objective Demonstrate the ‘INNO IPAC’ (innovative infection prevention and control HH) Game play to all delegates (15 mins)  Presenting how this INNO IPAC game has been developed and validated  Benefits of the INNO IPAC gameplay  Demonstrate the app and navigation of the gameplay from the login page until the performance score board analysis 2. Objective Play the gamified HH app online live to experience the live impact of gamified digital learning on hand hygiene compliance and change their behaviour in real practice (30 mins)  All delegates are invited to scan the QR code to download the game and log in  Navigate the gameplay  Play the game levels (Level 1, 2, and 3) ofa nurse or a doctor or an allied healthcare worker  Winners will be announced and encouraged with some prizes 3. Objective Explore the user's experience on engagement and motivation level to achieve improved HH compliance virtually and real setting? (45 and 60 mins)  Presenting the effectiveness of the INNO IPAC game app on HH compliance at the workplace  Delegates sharing their live experience of online game play.

0 CE/1 IPU

IP INSIGHT PANEL: CASE STUDIES

*PLEASE NOTE: LIVE ATTENDANCE IS REQUIRED FOR THIS WEBINAR AS THERE WILL NOT BE A RECORDED/ON DEMAND VERSION OF THIS WEBINAR.

From Concept to Containment: How AI Brought Dinosaurs and Magic to Infection Prevention Education

Thursday, August 6, 2026 @ 1 pm ET

Jess Fargher

Discover how an Infection Preventionist uses AI tools like ChatGPT, Copilot, Canva, and Adobe Firefly to create imaginative, copyright-safe educational content. This session highlights a real-world case study featuring a dinosaur-themed infection prevention video and a fantasy-inspired training module. Explore the potential of AI in crafting scripts, enhancing visual content, and increasing engagement. By streamlining workflows, AI enables the production of customized educational materials that leave a lasting impression and foster compelling learning experiences.

Learning Objectives 1. Describe how AI tools can be used to design and deliver creative, theme-based infection prevention education while avoiding copyright concerns. 2. Identify strategies to integrate AI into content development processes, including scripting, visual creation, study tools, and video production, to enhance learner engagement and promote sustainable education practices.

AND

Drowning in Rounds data as your survey window approaches? AI to the rescue!

Jonathan Schouest

This presentation will detail a use case and case study for AI tools in IPC which involves utilizing AI to analyze, categorize and prioritize large regulatory rounds datasets for operational as well as strategic use by IPC in identifying risks, closing practice gaps and prioritizing action in preparation for survey by regulatory bodies.

Learning Objectives:

1. Assess the impact of AI-driven data analysis on identifying risks, practice gaps, and prioritizing actions to improve survey readiness in IPC programs. (Blooms Taxonomy Cognitive level: Evaluate)

2. Implement basic prompt engineering skills to design effective AI prompts and other input language for this type of data analysis. (Blooms Taxonomy Cognitive level: Apply)

Continuing Education (CE) Credit: 

IPUs: 

• APIC designates this activity for 3 infection prevention unit(s). 
• For more information, please click HERE.

0 CE/ 1 IPU

Thursday, July 23, 2026 @ 1 pm ET

Speakers:

Karen Estela MPH, RN, FAPIC
Tonya Wagner
Anoshé Aslam MPH, CIC
Sara Townsend MS-HQS, CIC, FAPI

Take a deeper dive into the Manufacturers’ Instructions for Use (MIFU) Toolkit through an interactive, discussion-based IP Insight Panel. Featuring toolkit authors and subject matter experts, this session will explore real-world application, common challenges, and practical strategies for implementation across healthcare settings.

Participants will engage in facilitated breakout discussions to work through scenario-based questions, share experiences, and learn from peers. This session is designed to move beyond foundational knowledge and support IPs in applying MIFU guidance confidently and effectively in practice.
Format:

45-minute presentation featuring the new MIFU toolkit
45-minute interactive experience, including:
Breakout discussions and scenario-based learning
Live Q&A and case-based discussion
Dedicated time with SMEs to get your specific questions answered

Attendees will walk away with actionable tools, communication strategies, and practical application of the MIFU Toolkit.

Live Attendance Required:
To preserve the interactive, small-group nature of this workshop, no recording or on-demand option will be available. Please plan to join us live to fully participate and receive CE credit.

Cancellation and Substitution Policy

All registration cancellations and refund requests must be sent via email to education@apic.org 15 calendar days prior to the course start date. Any request received within 14 calendar days of the course start date will be charged a $75 administrative fee. Once you have activated your learning system or accessed your online education account, a registration can no longer be refunded.

Substitutions

No substitutions are allowed.

Continuing Education (CE) Credit

IPUs:
APIC designates this activity for 1 infection prevention unit(s).
For more information, please visit the CBIC Website here.

0 CE/ 1 IPU

Tuesday, July 15, 2026 @ 1 pm ET

Speaker: Ramneek Rai, DDS

This session will:

Provide an overview of microbial biofilms that can develop in narrow Dental Unit Waterlines (DUWLs), discuss their potential health implications, and explain the need for proper disinfection and routine maintenance
Review current and emerging guidance from the CDC, the OSAP White Paper, and other relevant agencies on maintaining and monitoring dental water quality
Present DUWL management best practices, including considerations related to periods of non-use, portable dental units, and extended clinic closures

Learning Objectives

After participating in this session, participants will be able to:

Recognize the need for Dental Unit Waterline (DUWL) disinfection and routine monitoring
Identify resources that provide recommendations and guidance on DUWL disinfection and water quality management
Apply knowledge to select appropriate products for DUWL treatment and monitoring
Describe and implement DUWL management best practices in clinical settings

Continuing Education (CE) Credit

IPUs:
APIC designates this activity for 1 infection prevention unit(s).
For more information, please visit the CBIC Website here.

0 CE/ 1 IPU

Tuesday, July 14, 2026 @ 1 pm ET

Speakers: John Delano, MPH, CIC, LSSGB, FAPIC and Sara Townsend MS-HQS, CIC, FAPIC

Artificial intelligence (AI) is rapidly emerging across healthcare settings, but for many infection preventionists (IPs), it can be difficult to separate meaningful application from industry hype. As AI tools continue moving into day-to-day healthcare operations, IPs need practical guidance to better understand how these technologies may impact infection prevention and control (IPC) practice.

This webinar will provide a first look at the new tool, Ten Key Points for Infection Preventionists – What to Know About the Use of Artificial Intelligence in Infection Prevention and Control. Authors will walk through key concepts, common terminology, real-world applications, and important considerations related to implementation, readiness, barriers, and equity.

Participants will gain a practical, foundational understanding of how AI may support IPC programs and where infection preventionists should focus their attention as adoption continues to evolve across healthcare settings.

Continuing Education (CE) Credit

IPUs:
APIC designates this activity for 1 infection prevention unit(s).
For more information, please visit the CBIC Website here.

0 CE/ IPU

Date & Time 

June 25, 2026 

1:00–2:00 PM ET | 10:00–11:00 AM PT 

Overview 

What can today's infection preventionists learn from those who responded to one of the largest Ebola outbreaks in history? 

Join APIC for a special Fireside Chat Webinar featuring three healthcare professionals who served on the front lines of the 2014 Ebola response in Sierra Leone. Through personal stories, lessons learned, and candid conversation, faculty will reflect on the challenges of responding to a high-consequence infectious disease event in a resource-limited environment and discuss how those experiences continue to shape preparedness efforts today. 

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Whether you are strengthening preparedness efforts at your organization or simply interested in learning from those who lived through this historic response, this session offers a unique opportunity to hear firsthand perspectives from the field. 

Discussion Topics 

• Frontline experiences during the 2014 Ebola response in Sierra Leone 

• Infection prevention challenges and lessons learned in outbreak settings 

• Healthcare worker safety and PPE considerations 

• Communication, teamwork, and decision-making during crisis response 

• Applying Ebola response lessons to today's preparedness planning 

• Preparing for future high-consequence infectious disease events 

Format (60 Minutes) 

• Moderated fireside chat discussion 

• Faculty reflections and lessons learned 

• Live audience polling and engagement activities 

• Questions submitted by registrants in advance 

• Live audience Q&A 

Faculty 

Carol M. McLay, DrPH, MPH, RN, FAPIC, FSHEA, CIC 

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Joseph M. Scaletta, MPH, BSN, RN, CIC, FAPIC 

Live and On-Demand Access 

Can't attend live? No problem. The webinar will be recorded and made available on-demand following the event. 

Attendees are encouraged to submit questions in advance and participate in the live discussion to make the most of this unique opportunity to learn from faculty who participated in the 2014 Ebola response.