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.

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

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.

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.

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 using game elements and highlighting its benefits in healthcare. Examples of gamified interventions will be discussed, including personalized education materials created through co-design with patients. The session will conclude with a summary of best practices for implementing gamification in patient engagement, emphasizing transparent communication and balancing patient autonomy.

Speakers: Nuria Pastor Hernández, MSc, CEO and Co-Founder, Vitalera

Speaker: Alexander Fanaroff, MD, MHS, Assistant Professor of Medicine, Division of Cardiology, University of Pennsylvania

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.

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.

Isaac Kohane, MD, PhD, 
Chair of the Department of Biomedical Informatics, Harvard Medical School;
Marion V. Nelson Professor of Biomedical Informatics, Harvard Medical School; 
Associate Professor of Medicine, Brigham and Women's Hospital

The "Blueprints for Trust:  Best Practices and Regulatory Pathways for Ethical AI in Healthcare" conference aims to bring together healthcare professionals, researchers, policymakers, ethicists, and industry leaders to explore the latest breakthroughs, challenges, and prospects of Artificial Intelligence (AI) in medicine. This conference aims to foster collaboration, encourage the exchange of ideas, and facilitate networking among diverse stakeholders to stimulate innovation and ensure AI's responsible and ethical integration in the medical field.   

Tiffani J. Bright, PhD, FACMI, 
Co-Director, Center for Artificial Intelligence Research, 
Department of Computational Biomedicine, 
Cedars-Sinai Medical Center

The "Blueprints for Trust:  Best Practices and Regulatory Pathways for Ethical AI in Healthcare" conference aims to bring together healthcare professionals, researchers, policymakers, ethicists, and industry leaders to explore the latest breakthroughs, challenges, and prospects of Artificial Intelligence (AI) in medicine. This conference aims to foster collaboration, encourage the exchange of ideas, and facilitate networking among diverse stakeholders to stimulate innovation and ensure AI's responsible and ethical integration in the medical field.   

David Bray, PhD, 
Distinguished Fellow and co-chair of the Alfred Lee Loomis Innovation Council, 
Henry L. Stimson Center

The "Blueprints for Trust:  Best Practices and Regulatory Pathways for Ethical AI in Healthcare" conference aims to bring together healthcare professionals, researchers, policymakers, ethicists, and industry leaders to explore the latest breakthroughs, challenges, and prospects of Artificial Intelligence (AI) in medicine. This conference aims to foster collaboration, encourage the exchange of ideas, and facilitate networking among diverse stakeholders to stimulate innovation and ensure AI's responsible and ethical integration in the medical field.   

Amy Price, PhD, BMJ Research Editor (Patient and Public Partnership), Senior Research Scientist, Stanford School of Medicine
Madeleine Clare Elish, PhD, Head of Responsible AI, Google Cloud
Paul Barr, PhD, Associate Professor, The Dartmouth Institute for Health Policy & Clinical Practice, Biomedical Data Science
Session Chair: Leon Rozenblit, PhD, Executive Director, QED Institute, Collaborating Scientist, Division of Clinical Informatics, Beth Israel Deaconess Medical Center.

The "Blueprints for Trust:  Best Practices and Regulatory Pathways for Ethical AI in Healthcare" conference aims to bring together healthcare professionals, researchers, policymakers, ethicists, and industry leaders to explore the latest breakthroughs, challenges, and prospects of Artificial Intelligence (AI) in medicine. This conference aims to foster collaboration, encourage the exchange of ideas, and facilitate networking among diverse stakeholders to stimulate innovation and ensure AI's responsible and ethical integration in the medical field.   

Dean Sittig, PhD, Biomedical Informatics, University of Texas Health Science Center
Gretchen Purcell Jackson, MD, PhD, FACS, FAMCI, FAMIA, President and Board Chair, AMIA, Vice President and Scientific Medical Officer and Associate Professor, Intuitive Surgical, Vanderbilt University Medical Center
Sayon Dutta, MD, MPH, Assistant Professor of Emergency Medicine, Massachusetts General Hospital,
Physician Lead, Emergency Medicine and Clinical Decision Support, Mass General Brigham Digital
Session Chair: Steven E. Labkoff, MD, FACP, FACMI, FAMIA, Global Head, Clinical and Healthcare Informatics, Collaborating Scientist, Division of Clinical Informatics, Beth Israel Deaconess Medical Center.