Yuri Quintana, Ph.D. Chief of Division of Clinical Informatics, Beth Israel Deaconess Medical Center

This session discussed the objectives of the conference

1. Engage national-level leaders to Identify the top challenges in cancer research and care that require real-evidence data generation and collaboration across institutions.
2. Discuss expectations and requirements for collaborative precision oncology and a national learning health system.
3. Identify data sources, stakeholders, and connections needed to tailor care for each patient’s clinical history, genomics, geography, and social determinants of health such as race, gender, sexual orientation, economic status, education, access to care, neighborhood effects, and social support.

Panel 2: Platform Requirements for Collaboration

Session Chair: Leon Roseblit, MD, Collaborating Scientist, DCI

Terminology Perspectives: Dr. Andrew Kanter (He/Him), Former Chief Medical Officer at IMO / Asst. Prof. in Clinical Biomedical Informatics & Clinical Epidemiology at Columbia University https://www.linkedin.com/in/andrew-kanter-9668851/ 

Data Sharing Perspectives: Dr. Douglas Fridsma, Chief Medical Informatics, Medical Informatics Officer, Former President and CEO, American Medical Informatics Association https://www.linkedin.com/in/dfridsma/

This session discusses the Platform Requirements for Data Harmonization and Governance.

• What is required for data harmonization? 
• How do we ensure there is equity and diversity in the data?
• Where would the data be stored? 
• What are data governance principles?

DCI Network Keynote – Future directions for real-evidence data generation

FDA Perspectives - Dr. Hilary Marston, U.S. Food & Drug Administration https://www.linkedin.com/in/hilary-marston-ab348/

This presentation provides

1. Overview of the FDA RWE Framework  

2. Notable RWE Approvals & Awards

3. Future Directions

DCI Network Keynote – Lesson Learned from National Initiatives 

Reflections on National Cancer Collaboratives - Greg Simon, Consultant Simonovation, LLC, Former Director, Biden Cancer Initiative https://www.linkedin.com/in/simonovation

This take reflects on lessons learned from the early days of the Biden Cancer Initiative and collaborations between private and non-profit sectors.

Panel 1: What do we want for collaborative precision oncology? Who should be involved?

Session Chair: Steve Labkoff, Quantori and Collaborating Scientist, DCI.

Perspective on Cancer Screening – Dr. Timothy Rebbeck, Vincent L. Gregory, Jr. Professor of Cancer Prevention, Epidemiology, Harvard T.H. Chan School Of Public Health, Professor, Medical Oncology, Dana-Farber Cancer Institute, and Director, Zhu Family Center for Global Cancer Prevention at the Harvard TH Chan School of Public Health https://www.linkedin.com/in/timothy-rebbeck-73560292/

Perspective on Cancer Treatments – Dr. Jeremy Warner, Professor of Medicine at Brown University and Director of the Center for Clinical Cancer Informatics and Data Science (CCIDS), https://www.linkedin.com/in/jeremy-warner-39001512/
 

The goals of this session are to discuss the Requirements for Collaborative Precision Oncology:

Dr. Edward H. (Ted) Shortliffe, Chief Emeritus at the Journal of Biomedical Informatics, Former President and CEO of the American Medical Informatics Association

Goals of Talk:

1. Reflect on Howard Bleich – the man and his professional contributions over a half-century

2. Summarize the waxing/waning roles of data and knowledge in the field of biomedical informatics

3. Summarize where we are today in that evolution, with suggestions for the future

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.

Mark G. Weiner, MD, FACMI, Deputy CIO for Health System and Research Analytics, Professor of Clinical Population Health Sciences and Medicine, Weill Cornell Medicine, New York-Presbyterian
Robert Stolper, Managing Principal, Head of Enterprise Transformation Strategy, IQVIA
Sheela Kolluri, PhD, Clinical Domain Lead, Artificial Intelligence, Data & Analytics (AIDA), Pfizer Digital
Session Chair: Amar Das, MD, PhD, FACMI, FAMIA, Vice President, Real World Evidence, Guardant Health

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.   

Opening Session: Dr. Yuri Quintana, Dr. Gretchen Purcell Jackson, Dr. Steven Labkoff

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.   

Shawn Murphy, MD, PhD, Professor of Neurology at MGH Associate Professor of Biomedical Informatics, Harvard Medical School (Secondary) and Griffin Weber, MD, PhD, Associate Professor of Medicine, Beth Israel Deaconess Medical Center Associate Professor of Biomedical Informatics, Harvard Medical School (Secondary)

The use of i2b2 will be illustrated in achieving high impact publications and participation in several high-profile national and international research networks to study COVID-19: (1) The Consortium for Clinical Characterization of COVID-19 by EHR (4CE) engages local experts in informatics, statistics, and clinical medicine at hospitals around the world to iteratively improve sites' data quality to gain trust in the data and to conduct rapid analyses on COVID-19 through a federated model and patient chart review. (2) Accrual to Clinical Trials (ACT) is a national federated network that connects i2b2 databases at 40+ institutions across the country, enabling researchers to access data on more than 100 million patients.

Bios:

The Duke Clinical Research Institute (DCRI) and Duke School of Medicine have been deeply involved in developing network science and medical solutions throughout the covid-19 pandemic. From working closely with state governments and school systems to facilitate safe school reopening and operation via ABC Science Collaborative, to deploying home covid testing to underserved populations via Say Yes! Covid Test to co-leading the efforts to understand the long-term effects of covid-19 via Recover. In this talk we will examine the technology, process, privacy and security strategies that have enabled these initiatives.

Cancer is the second-leading cause of death in the United States. In addition, cancer is one of the most frequently diagnosed serious illnesses, with an estimated 16.9 million Americans with a history of an invasive malignancy alive as of January 1, 2019. Nearly 2 million invasive cancer cases were expected to be diagnosed in 2020. At the beginning of the COVID-19 pandemic, Advocate Aurora Health, Dana-Farber Cancer Institute, Fred Hutchinson Cancer Research Center, the University of Miami, and Vanderbilt University Medical Center (VUMC) led the formation of the COVID-19 and Cancer Consortium (CCC19), to rapidly collect and disseminate information about the especially vulnerable population of patients with active cancer and cancer survivors who are diagnosed with COVID-19. CCC19 started accruing data on March 17, 2020. As of September 2022, 123 institutions across North America have joined the consortium, with more than 15,000 cases reported to date. CCC19 maintains a registry to collect granular data about baseline characteristics, initial course of COVID-19, and longer-term outcomes.

The emergence of EHR data at scale affords the opportunity to leverage vast amounts of real-world data in observational clinical outcomes research.  The paradigm of observational research introduces limitations in data completeness, and requirements for data integration and harmonization.  This talk will address the basic issue of harmonization pipelines for integrating data across multiple clinical organizations, using the National COVID Cohort Collaborative (N3C) as a demonstration use case.

We are currently at the beginning stages of a generation-defining revolution in biology. For the past two decades, breakthroughs in our understanding of genetics and genomics, coupled with those in AI and machine learning, have presented us with opportunities to radically improve healthcare around the world. Data is now a digital specimen, but as more and more data is collected, often in different formats and on disparate platforms, new solutions are needed to successfully integrate, store, compute, and secure data. This talk provides a short set of examples for how to handle large-scale medical studies in a secure and scalable fashion. It assesses contemporary realities, identifies potentially promising research directions, and investigates potential impact on the field of bioinformatics from a Computer Science perspective.