DCI Network Course - June 26, 2024 - Cambridge, MA, USA
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.
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.
10:30-11:00 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
11:30-12:00 PM Gamification in Healthcare
- Oscar García-Pa?ella, PhD, Gamification Director, Cookie Box; Academic Director, ENTI, The Videogame School, University of Barcelona
- In this session, Oscar García-Pa?ella 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
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.
2:15-3:00 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
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.
REGISTER NOW
Regular registration is due by June 21, 2024 (25% off with coupon code EARLY25 by June 21)$149.25
Late registration is due before June 25, 2024.$199
