Leveraging AI for Patient Engagement, Education, and Outcomes in Pharma and Healthcare

About the Course:

The course is designed for pharmaceutical industry professionals and hospital leaders involved in patient engagement, clinical trial recruitment, patient education, and patient-centric care delivery. Participants will learn how AI can be strategically leveraged to improve patient engagement, education, and support while addressing key challenges such as diverse patient populations, trust and privacy concerns, engagement and retention, access and equity, and regulatory compliance. The course covers personalized patient engagement strategies, AI-driven insights for patient-centric care delivery, ethical AI implementation, and regulatory compliance. The course will allow participants to share experiences, challenges, and solutions related to implementing AI in patient engagement and education. By the end of the course, participants will be equipped with the knowledge and skills necessary to effectively leverage AI in their patient-centric initiatives, ultimately improving patient outcomes and experiences in the pharmaceutical industry and healthcare sector while navigating ethical and regulatory considerations.

Target Audience:

• Patient Engagement Managers
  • Responsible for developing and implementing patient engagement strategies and programs.
  • Keen to learn how AI can help personalize and optimize patient engagement initiatives.
• Clinical Trial Recruitment Specialists
  • Focused on identifying and recruiting patients for clinical trials
  • Interested in leveraging AI to improve patient recruitment and retention strategies.
• Patient Education Directors
  • Tasked with creating and delivering effective patient education programs
  • Looking to explore AI-driven personalization and content creation for patient education
• Digital Health Strategists
  • Responsible for driving digital transformation and innovation in patient-centric initiatives
  • Seeking to understand the potential of AI in enhancing patient engagement and outcomes
• Chief Innovation Officers
  • Leading the adoption and integration of innovative technologies, including AI, in healthcare settings
  • Interested in exploring AI's potential to improve patient care and operational efficiency
• Healthcare Data Scientists
  • Involved in developing and deploying AI algorithms for healthcare applications
  • Keen to learn about the specific challenges and opportunities in patient engagement and education
• Patient Experience Managers
  • Responsible for ensuring positive patient experiences and satisfaction across all touchpoints
  • Looking to leverage AI to personalize and enhance patient interactions and support
• Healthcare AI Researchers
  • Conducting research on the application of AI in healthcare, including patient engagement and education
  • Interested in exploring real-world case studies and collaborating with industry professionals.
• Population Health Managers
  • Focused on improving health outcomes for specific patient populations
  • Seeking to understand how AI can help identify at-risk patients and tailor engagement strategies
• Digital Health Consultants
  • Advising healthcare organizations on the adoption and implementation of digital health solutions, including AI
  • Looking to expand their knowledge of AI applications in patient engagement and education to serve their clients better

Faculty:

Alex Jadad, MD DPhil LLD FCAH

• Founder, Centre for Digital Therapeutics
• Research Professor (Adjunct), University of Southern California

Alex Jadad is a physician, innovator, and philosopher who has revolutionized health and medicine through his pioneering work on networks of trust, eHealth and evidence-based strategies. For over 30 years his efforts have been focused on developing "high-tech and high-touch" approaches that leverage clinical research, public engagement and cutting-edge technologies like AI, alongside policy makers, heads of state, academics and leaders in the private sector. As a result he has shaped national healthcare systems, health policies and regulatory landscapes around the world.

He holds a Doctor of Philosophy degree from University of Oxford (UK), and has honorary doctorates in Arts and in Laws. He is the founder of the Centre for Digital Therapeutics in Toronto, a simulator of the future. He is the author of 12 books and hundreds of scientific publications, and the creator of the Jadad Scale, the most widely used tool to assess clinical trial quality, worldwide.

Leon Rozenblit, JD, PhD

• Executive Director, Q.E.D. Institute
• Collaborating Scientist, Division of Clinical Informatics, Beth Israel Deaconess Medical Center
• Lecturer, Yale School of Management

Leon Rozenblit, JD, PhD, is the Executive Director of the QED Institute, a Lecturer in the Practice of Management at the Yale School of Management, and a Collaborating Scientist with the Division of Clinical Informatics at Beth Israel Deaconess Medical Center. He co-leads the DCI Network group on AI governance and patient-facing systems. He was formerly the Senior Director of Product and Strategy for the Registry Practice at IQVIA and the Founder/CEO of Prometheus Research, LLC.

Dr. Rozenblit is a recognized expert in data governance strategies, management methods, integration strategies, technology platforms, and data science methods for healthcare and research registries. He leverages his background in entrepreneurship, informatics, cognitive science, psychology, statistics, and law to help organizations optimize the value of their data. Over a 25-year career, he has served in leadership roles on over 50 major registry programs, including many high-profile clients like the Multiple Myeloma Research Foundation, the Susan G. Komen Foundation, the Simons Foundation, the American Society of Hematology, and the Cystic Fibrosis Foundation.

Dr. Rozenblit's extensive experience in data governance, management, and stakeholder engagement will provide attendees with practical insights into the legal, ethical, and operational considerations crucial to governing AI in healthcare. His expertise in navigating the regulatory landscape to ensure data privacy and security will be particularly relevant for attendees working in sensitive domains such as oncology and rare diseases.

Leon holds a JD from LSU Paul M. Hebert Law Center, where he served on the Law Review and was inducted into the Hall of Fame, and a Ph.D. in Psychology from Yale University, where he specialized in Cognitive Science and Higher Cognition.

Nuria Pastor Hernández, MSc

• CEO & Co-founder, Vitalera

Nuria Pastor Hernández is the CEO and co-founder of Vitalera. She serves as Vice President II at CataloniaBio Health Tech and is named on the Forbes' 30 Under 30 list. Nuria graduated with a degree in Clinical Psychology from the University of Barcelona. She also holds a Master of Science in Neuroscience from the Autonomous University of Barcelona and completed a postgraduate program in Business Scale Up at Stanford University. With over a decade of wide-ranging experience, Nuria has worked in the digital health industry, managing businesses, and conducting research at the Medical Research Institute of the Hospital del Mar, where she led digital health projects.

Tamen Jadad-Garcia

• Partner, Vivenxia Healthcare Consulting; Growth Strategist, Good Energy

Tamen has worked in roles spanning commercial and growth strategy, business development and management consulting, internationally, focusing on healthcare and technology. She partners with private and public healthcare leaders to take on the industry's most pressing challenges and deliver innovative solutions.

She supports health insurers, pharmaceutical corporations, digital therapeutic companies and nonprofits launching new business initiatives with external partners and landing disruptive innovation in a customer-centric industry.

Tamen has written scientific articles in peer reviewed journals and is a frequent keynote speaker at events focused on health, design and technology. She also authored the best-selling book "Healthy No Matter What" with Penguin Random House, has written for TIME, and her work has been featured by McKinsey and Fortune.

In 2024, she published the latest methodology for organizational leaders to integrate AI into their existing workflows called Computational Management.

Yuri Quintana, Ph.D.

• Chief, Division of Clinical Informatics, Beth Israel Deaconess Medical Center
• Assistant Professor of Medicine, Harvard Medical School
• Senior Scientist, Homewood Research Institute

Yuri Quintana, PhD, is the Division Chief of the Division of Clinical Informatics at Beth Israel Deaconess Medical Center, a faculty member at Harvard Medical School, and founder of DCI Network and the DCI Network Blueprints AI Conference. With over 25 years of experience in the field, Dr. Quintana has constructed several large AI-based natural language interface systems, AI-based information filtering systems, and global medical disease registries. His deep understanding of AI and large-scale systems allows him to give attendees insights into best practices and potential pitfalls in the new AI landscape. Dr. Quintana's experience in navigating the complexities of patient-facing systems and international platforms will be particularly valuable for attendees seeking to build and manage their AI projects.

Anjum Khurshid, MD, PhD

• Chief Data Scientist, Sentinel Operations Center
• Member of the Faculty, Harvard Medical School

Dr. Anjum Khurshid, MD, PhD is a Member of the Faculty at Harvard Medical School and the Harvard Pilgrim Health Care Institute. He is the Chief Data Scientist for the Sentinel Operations Center. Sentinel is FDA’s program for evaluation of safety and performance of medical products. Previously, he was the Co-Chief, Health Informatics, Data Science and Epidemiology Division, Department of Population Health and the inaugural Director of Data Integration at Dell Medical School, The University of Texas at Austin. He received the Health Informatics Innovator Award in 2013 as the PI of the Crescent City Beacon Community Program, New Orleans. He established the Louisiana Clinical Data Research Network (now REACHnet) as part of PCORnet and the Greater New Orleans Health Information Exchange (now PelEX). He is a Fellow of the American Medical Informatics Association and on the editorial board of Blockchain in Health Today.

Oscar García Pañella, PhD

• Gamification Director, Cookie Box
• Academic Director, ENTI, The Videogame School, University of Barcelona

Dr. Oscar García Pañella holds a PhD degree in Electronic Engineering and a Post Doc in Entertainment Technology. He's enjoyed several stages abroad, like at the IMSC (Integrated Media Systems Center, USC, USA, 1998), at the VIS Lab (UCI, USA, 2005) and at the Entertainment Technology Center (CMU, USA, 2008-2009). He works as a consultant and researcher on the implementation and design of Applied Games, Gamification campaigns and Interactive Installations intended to solve several simulator-related challenges and learning opportunities from the “experiential multimedia” and “learning-by-doing” views. Oscar directs the first Videogame and Serious Games University School in Barcelona (ENTI-UB) besides an online Master in Gamification & Transmedia Storytelling (IEBS). He is the technical coordinator at the EUNEIZ University too. Oscar is an active member of the EU Research community in projects such as Gamewise, gameBIZ, Playing for Real, JamToday, Robogenius, interSTEM or i-Game (current). In addition to that, Oscar partners as a senior Gamification consultant in Cookie Box, a Gamification consultancy. Oscar belongs to the Forbes's Top 100 list of Creative people and he's a TEDx lecturer.

Paul Barr, PhD

• Associate Professor, Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College

Dr. Barr is an Associate Professor in The Dartmouth Institute for Health Policy & Clinical Practice, Biomedical Data Science, and a member of the Center for Technology and Behavioral Health, Geisel School of Medicine. He is trained in quantitative and qualitative methods more than 60 peer-reviewed publications (including publications in the BMJ, JAMA, NEJM), and significant funding from NIH and PCORI. His research portfolio includes the development and implementation of measures of shared decision making (SDM), the user centered design and evaluation of patient facing interventions to support SDM in individuals with depression, and the communication of medical information to promote self-management in older adults with multimorbidity and their caregivers.

In 2015 he formed OpenRecordings, a multidisciplinary group of researchers, clinicians, and patients to evaluate potential clinical utility of audio/video recordings of healthcare visits. He developed novel software, HealthPAL, a comprehensive audio personal health library that supports sharing of clinic visit recordings with patients and applies natural language processing to automatically identify key information in the visit. His team are currently leading several large federally funded trials assessing the impact of visit recording on the care of older adults in primary care.

Outside of work, Paul can be found chasing his two children up mountains and trying to keep up with them as they ski back down, coaching soccer in Lebanon, NH, teaching science at Mount Lebanon Elementary school as part of the Four Winds program and making furniture in the Dartmouth Woodshop.

Kiran Dattani, MBA, MPH

• Architecture & Cloud Enablement Specialist, Google Cloud Healthcare and Life Sciences

Kiran Dattani is a seasoned AI Specialist & Technologist with over 20 years of experience in the life sciences and pharmaceutical industries. He has a proven track record of driving digital transformation, automation, and data science initiatives for leading organizations like Pfizer and Google. Kiran's expertise spans enterprise architecture, cloud enablement, vendor management, and data visualization solution delivery. He has a passion for leveraging technology to improve patient outcomes and has been actively involved in public health initiatives, including patient advocacy and sustainable medicine efforts. Kiran is a recognized leader in the industry, having participated in numerous industry-leading initiatives, such as DCI network, GS1 consortiums. He is a strong advocate for using AI to enhance patient care and improve the overall healthcare system.

Amanda L. Joseph BCom, MSc

• PhD Candidate, Health Informatics, University of Victoria
• Director, Majestic Global Consulting Inc.

Amanda holds a Bachelor of Commerce in Entrepreneurial Management, a Master of Science in Health Informatics, and is nearing completion of a Ph.D. in Health Informatics. Her research is motivated by her vision of a healthcare landscape that empowers patients, improves provider experiences, and establishes an integrated learning health system. She employs a comprehensive and multidisciplinary approach to healthcare transformation across the care continuum, blending process enhancement, human-centered design, and knowledge translation perspectives.

In addition to her academic pursuits, Amanda has 14 years of leadership experience across the private, public, and non-profit sectors of healthcare. She specializes in health informatics, healthcare management, implementation science, strategic planning, and stakeholder engagement. She has a history of catalyzing transformative change through technological innovation, having led several enterprise-level clinical and non-clinical systems implementations. Amanda is a decisive and results-oriented leader who cultivates strong relationships built on transparency, empathy, and trust. Amanda embodies an unwavering dedication to healthcare innovation through her work as a healthcare leader, author, editorial board member, and researcher.

Alexander Fanaroff, MD, MHS

• Assistant Professor of Medicine, Division of Cardiology, University of Pennsylvania

Alexander Fanaroff, MD, MHS is an interventional cardiologist and Assistant Professor of Medicine in the Division of Cardiology at the Perelman School of Medicine of the University of Pennsylvania. He completed medical school, internal medicine residency, cardiology fellowship, and interventional cardiology fellowship at Duke University. He received an MHS in clinical research from the Duke/NIH Clinical Research Training Program during a two-year research fellowship at the Duke Clinical Research Institute.

Dr. Fanaroff’s research focuses on identifying areas in which cardiovascular care is delivered inefficiently, variably, or is limited by difficulty changing patient/clinician behavior; developing solutions to improve care; and then testing those solutions in pragmatic clinical trials, with specific interests in increasing physical activity in patients with cardiovascular disease, and improving quality and reducing disparities in peripheral artery disease care. His research is currently funded by the American Heart Association, the National Institutes of Health, and the Department of Defense.

Course Outline

9:00-9:15 Course Welcome and Objective

9:15-9:45 AM Session 1: Evidence of Innovative Uses of Technology for Patient Engagement and Patient Education

• Speaker: Yuri Quintana, PhD, Chief, Division of Clinical Informatics, Beth Israel Deaconess Medical Center; Assistant Professor of Medicine, Harvard Medical School; Senior Scientist, Homewood Research Institute
• This presentation will review the latest evidence on the innovative uses of technology for patient engagement and education. It will examine various technologies, including mobile health apps, AI-driven tools, and interactive platforms, showcasing their impact on patient outcomes and adherence to treatment plans. Through case studies and clinical trial data, the presentation will highlight successful implementations and the measurable benefits these technologies bring to patient care. Additionally, it will address the challenges and considerations for integrating these technologies into healthcare practices, emphasizing the importance of data privacy, user-centered design, and regulatory compliance.

9:45-10:15 AM Session 2 - FHIRedApp: a LEAP in health information technology for promoting patient access to their medical information

• Speaker: Dr. Anjum Khurshid, MD, PhD, Chief Data Scientist, Sentinel Operations Center; Member of the Faculty, Harvard Medical School
• In this talk, Dr. Anjum Khurshid, a leading health informatics and data science expert, will introduce FHIRedApp, a revolutionary patient engagement platform designed to enhance patient access to their health data. He will discuss the platform's innovative features, including integrating social determinants of health data and using interoperability standards for data exchange. Dr. Khurshid will also share real-world case studies demonstrating the impact of FHIRedApp on patient experiences and explore future opportunities for expanding the platform's reach and functionality. Attendees will gain valuable insights into how FHIRedApp represents a significant leap forward in empowering patients to take control of their health data and actively participate in their healthcare journey.

10:15-10:30 Break

10:30-11:00 AM Vitalera: Advancing Patient Care with Integrated Data and Predictive Analytics

• Speakers: Nuria Pastor Hernández, MSc, CEO and Co-Founder, Vitalera
• Vitalera is a digital health solution designed to improve patient care and outcomes by leveraging cutting-edge interoperability, analytics, and remote monitoring capabilities. Currently implemented in over 30 healthcare organizations, its data integration system surpasses the state-of-the-art by seamlessly combining data from various sources, including electronic health records, medical and wearable devices, and patient-reported outcomes, into a centralized platform. This integration provides real-time, comprehensive insights into patient health, facilitating early detection of concerning trends and enabling prompt intervention. Advanced analytics and machine learning algorithms analyze this data to offer personalized, data-driven recommendations tailored to each patient's unique needs, optimizing treatment plans, improving outcomes, and reducing healthcare costs. A present use case demonstrates the development of machine learning models for predicting patient exacerbations and supporting clinical decision-making, utilizing data collected from participants in two multicenter clinical studies on heart failure to create the dataset for training these models.

11:00-11:30 AM Gamification informed by behavioral economic theory to increase physical activity in patients with or at risk for cardiovascular events: Lessons from the BE ACTIVE randomized controlled trial

• Speaker: Alexander Fanaroff, MD, MHS, Assistant Professor of Medicine, Division of Cardiology, University of Pennsylvania
• This talk will delve into the practical lessons learned from the trial, highlighting how game design elements can be effectively integrated into health interventions to motivate and sustain patient engagement in physical activity. By analyzing the outcomes and methodologies of the BE ACTIVE trial, Dr. Fanaroff provides valuable insights into the potential of gamified health solutions to improve cardiovascular health outcomes. The trial, involving 1050 participants, evaluates the effectiveness of these innovative approaches over a 12-month period, with a 6-month follow-up to assess the durability of behavior change. This talk will outline the key findings and practical applications derived from the trial, emphasizing the role of gamification and financial incentives in improving adherence to physical activity recommendations among ASCVD patients. The implications of BE ACTIVE extend beyond patient motivation, offering a blueprint for future virtual clinical trials and health interventions aimed at enhancing cardiovascular health and longevity.

11:30-12:00 PM Gamification in Healthcare

• Oscar García-Pañella, PhD, Gamification Director, Cookie Box; Academic Director, ENTI, The Videogame School, University of Barcelona
• In this session, Oscar García-Pañella will explore the intersection of gamification and healthcare, focusing on how gamification principles can enhance patient engagement, improve education, and empower patients throughout their healthcare journey using AI-driven approaches. The session will begin with an overview of gamification basics, defining it as the use of game elements and highlighting its benefits in healthcare. Examples of gamified interventions will be discussed, including personalized education materials created through co-design with patietns. The session will conclude with a summary of best practices for implementing gamification in patient engagement, emphasizing transparent communication and balancing patient autonomy

12:00-1:00 PM Lunch

1:00-1:30 PM The Impending Use of Ambient Clinic Visit Recording: AI Applications, Ethics, and the Importance of Patient Partners

• Speaker: Paul Barr, PhD, Associate Professor, Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College
• With advances in natural language processing and machine learning, ambient recording of clinic visits is emerging and will quickly be commonplace healthcare over the next five years. In this talk, Dr. Barr will provide examples of AI-powered applications of ambient recordings to support clinicians, patients, and health systems. While optimistic about the potential benefits, Dr. Barr will also raise the foreseeable ethical challenges that his colleagues and Dr. Barr have identified to the use of ambient recording and make the case that patients, their care partners, and clinicians must remain central to development, implementation, and oversight.

1:30-2:00 PM Google Case Studies on Navigating the Digital Health Landscape: A Journey with AI and GenAI

• Speaker: Kiran Dattani, MBA, MPH, Architecture & Cloud Enablement Specialist, Google Cloud Healthcare and Life Sciences
• Kiran Dattani will present a compelling case on the use of Google tools in healthcare. The presentation will focus on building a rich patient experience in the age of AI and GenAI, emphasizing the transformative potential of these technologies. Dattani will discuss the use of Search, Vision, and Conversation tools for both patients and providers, highlighting how these tools can enhance healthcare delivery and patient engagement. The presentation will delve into the various language models - LLM, SLM, TSM - discussing their different sizes, purposes, and fits in the healthcare context. Dattani will address the importance of grounding patient information in the age of GenAI and LLMs, underscoring the need for accurate, reliable data in improving patient outcomes. The presentation will demonstrate the immense potential of these tools in revolutionizing healthcare.

2:00-2:15 PM Break

2:15-3:00 PM How can I successfully integrate artificial intelligence into existing workflows?

• Speakers: Alex Jadad, MD DPhil LLD FCAHS, Founder, Centre for Digital Therapeutics; Research Professor (Adjunct), Keck Medical School, University of Southern California; Principal, Vivenxia Healthcare Consulting
• Tamen Jadad-Garcia: Partner, Vivenxia Healthcare Consulting; Growth Strategist, Good Energy
• As AI gathers momentum, organizational leaders frequently ask how to best integrate and leverage this technology within their operations. This session will address this pressing question by introducing 'Computational Management', a step-by-step method designed to optimize task automation and the integration of AI into daily operations. The session will demonstrate how Computational Management can provide insights into leveraging AI for professional tasks and challenges, facilitate cross-disciplinary teams in applying AI solutions to common issues in patient engagement and education, and assist in choosing or developing AI tools to customize learning modules, predict patient care pathways, and conduct real-time monitoring and intervention. Additionally, it will support staff adoption of AI-enhanced workflows and help justify and evaluate investments in AI technologies.

3:00-3:30 PM Navigating the Tradeoffs in AI Healthcare Governance: A Constraint-Based Framework

• Speakers: Leon Rozenblit, JD, PhD, Executive Director, Q.E.D. Institute; Collaborating Scientist, Division of Clinical Informatics, Beth Israel Deaconess Medical Center; Lecturer in the Practice of Management, Yale School of Management.
• In this session, participants will explore a novel constraint-based cognitive framework for selecting appropriate governance models for AI in healthcare. The framework illustrates the tradeoffs between speed, breadth, and capability when designing governance models and provides guidance on how to balance multi-stakeholder perspectives. Attendees will learn about the three layers of analysis for reaching structured recommendations, which emphasize organizing models by application domain, focusing on transparency and accountability, and promoting continuous learning. The course will also discuss the importance of establishing a multi-stakeholder Health AI Consumer Consortium (HAIC2) to represent patient interests, develop governance principles, and provide consumer oversight. Participants will gain insights into the potential for voluntary accreditation and certification in driving the adoption of responsible AI practices, as well as the need for differentiated governance models tailored to the unique constraints and stakeholder relationships within specific application domains such as Clinical Decision Support, Real-World Evidence, and Consumer Health.

3:30-4:30 PM Brainstorming Exercise for how to improve Patient Engagement in the Patient Journey for Chronic Disease

• Facilitators: Alex Jadad, Tamen Jadad-Garcia, Leon Rozenblit, Amanda Joseph
• Alex Jadad, MD DPhil LLD FCAHS, Founder, Centre for Digital Therapeutics, Toronto, Canada; Research Professor (Adjunct), Keck Medical School, University of Southern California; Principal, Vivenxia Healthcare Consulting
• Tamen Jadad-Garcia: Partner, Vivenxia Healthcare Consulting; Growth Strategist, Good Energy
• Leon Rozenblit, JD, PhD, Executive Director, Q.E.D. Institute; Collaborating Scientist, Division of Clinical Informatics, Beth Israel Deaconess Medical Center; Lecturer in the Practice of Management, Yale School of Management.
• Amanda L. Joseph BCom, MSc, PhD Candidate, Health Informatics; Director, Majestic Global Consulting Inc.
• This session will generate ideas for how to create innovative technologies to improve how we can provide patients access to their information and tools that will help the understand that information and manage their chronic disease journey in an empowered way. We will use the rapid-brainstorming techniques to generate ideas that we will bring forward to the next day’s conference.

4:30-5:00 PM Closing Remarks

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Why Take This Course?

Challenges in Patient Engagement, Recruitment, Education, and Communication

Healthcare providers and private companies encounter several challenges in engaging patients effectively:

• Diverse Patient Populations: Tailoring communication to different patient populations' diverse needs, languages, and literacy levels is complex.
• Trust and Privacy Concerns: Patients are increasingly concerned about data privacy and the ethical use of their health information.
• Engagement and Retention: Keeping patients engaged and retained in clinical trials or long-term treatment plans is challenging due to a lack of personalization and follow-up.
• Access and Equity: Ensuring equitable access to information, trials, and treatments across different demographics and geographies.
• Regulatory Compliance: Navigating the complex regulatory landscape that governs patient data and communication.

How AI Can Help

• Personalization: AI can analyze vast amounts of data to deliver personalized communication, education, and treatment recommendations to patients.
• Predictive Analytics: Identifying patients who are most likely to benefit from or participate in clinical trials, improving recruitment strategies.
• Automated Communication: Chatbots and virtual assistants can provide 24/7 support, answer patient queries, and facilitate better engagement.
• Data Privacy and Security: AI tools can enhance data privacy and security measures, ensuring patient data is handled according to regulatory standards.
• Patient Education: Tailoring educational content based on the patient’s condition, comprehension level, and preferred learning style.

Key Concerns and Priorities for Hospital Leaders

• Integration with Existing Systems: Ensuring AI solutions can seamlessly integrate with existing healthcare IT infrastructure.
• Patient Privacy and Security: Balancing innovation with strict adherence to data protection laws and ethical considerations.
• Evidence-Based Outcomes: Demonstrating that AI implementations lead to improved patient outcomes and operational efficiencies.
• Staff Training and Adoption: Providing adequate training for staff to adapt to AI-enhanced workflows.
• Cost and ROI: Justifying the investment in AI technologies through clear metrics on cost savings, patient satisfaction, and quality of care improvements.

Personalizing Patient Engagement and Education

• Customized Learning Modules: AI is used to develop educational content that adapts to the patient’s learning pace, style, and knowledge level.
• Predictive Patient Care Pathways: AI can predict potential health risks and tailor patient engagement strategies to prevent readmissions and improve health outcomes.
• Real-time Monitoring and Intervention: Wearables and mobile apps can provide real-time health monitoring, sending customized advice or alerts to patients and providers.

Relevant Case Studies and Examples

• AI Chatbots for Patient Support: Pharmaceutical companies are using AI chatbots to provide instant, personalized support to patients, answer their queries, and improve medication adherence.
• Predictive Analytics in Clinical Trials: Implementing AI to analyze patient data and predict trial outcomes leading to more efficient patient recruitment and retention strategies.
• Personalized Patient Education Platforms: Hospitals are deploying AI-driven platforms that offer personalized educational content and engagement strategies based on patient profiles and behaviors.

Addressing Needs and Challenges of Different Roles

• Scenario-based Learning: Using real-world case studies and scenarios to illustrate practical applications of AI in patient engagement and education.
• Role-specific Best Practices: This section offers insights into how AI can be leveraged within the context of each professional’s daily tasks and challenges.
• Collaborative Projects: Approaches to facilitating cross-disciplinary projects that allow participants to apply AI solutions to common challenges in patient engagement and education.

Ethical and Trust-related Considerations

• Transparency: Being transparent with patients about how their data is used and the role of AI in their care.
• Bias and Fairness: Ensuring AI systems are trained on diverse datasets to prevent bias and promote equity in patient care and engagement.
• Patient Consent and Autonomy: Maintaining patient consent and autonomy at the forefront of AI implementations, with clear opt-in and opt-out mechanisms.

Regulatory and Compliance Issues

• Data Protection Laws: Following GDPR, HIPAA, and other relevant patient data regulations.
• Clinical Safety: Ensuring AI tools and algorithms meet clinical safety standards and are validated for their intended use.
• Ethical Guidelines: Following ethical guidelines for AI in healthcare, including those related to transparency, accountability, and patient welfare.

Facilitating Collaboration and Knowledge-Sharing

• DCI Network Interactive Forums and Workshops: DCI Network provides a platform for participants to share experiences, challenges, and solutions related to implementing AI in patient engagement and education.
• Cross-Industry Partnerships: DCI Network encourages partnerships between pharmaceutical companies, technology providers, and healthcare institutions to foster innovation and best practices exchange.
• Continuing Education and Resources: DCI Network offers ongoing access to the latest research, case studies, and technological advancements in AI for healthcare.

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Course

Conference

Venue

• Course, June 26, 2024: Courtyard by Marriott- Cambridge Boston, 777 Memorial Dr, Cambridge, MA 02139.
• Conference, June 27, 2024: Harvard University Loeb House, Harvard Faculty Club, 17 Quincy St, Cambridge, MA 02138.

The Harvard Faculty Club, located in the heart of the historic Harvard University campus in Cambridge, Massachusetts, will serve as the venue for this conference. Situated amidst the iconic red brick buildings and picturesque grounds of America's oldest institution of higher learning, the Harvard Faculty Club offers a unique and inspiring setting for attendees to gather, learn, and collaborate. Founded in 1920, the Harvard Faculty Club has a rich history of hosting academic events, intellectual discussions, and professional gatherings. The club's elegant and comfortable spaces, including well-appointed meeting rooms and charming dining areas, provide an ideal environment for conference sessions, networking opportunities, and breakout discussions. The historic campus, with its meticulously maintained green spaces, stately architecture, and world-renowned libraries and museums, offers a timeless backdrop for contemplating the future of healthcare. This exceptional venue, steeped in history and intellectual curiosity, will undoubtedly contribute to a memorable and productive conference experience for all participants.

DCI Network AI Conference, Harvard Faculty Club, September 21, 2023

Contact

For more information, contact Yuri Quintana at yquintan@bidmc.harvard.edu and Gyana Srivastava at gsrivast@bidmc.harvard.edu

Sponsorship

For more information about the conference and to become a sponsor, please contact DCI: Yuri Quintana, Ph.D., Chief of Division of Clinical Informatics, Beth Israel Deaconess Medical Center (BIDMC) and Assistant Professor of Medicine at Harvard Medical School (yquintan@bidmc.harvard.edu) and Gyana Srivastava, Research Assistant II, BIDMC (gsrivast@bidmc.harvard.edu).