- Published: 27 June 2024
- Posted: 08 July 2024
Welcome Remarks:
Dr. Yuri Quintana, PhD, Chief, Division of Clinical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center; Assistant Professor of Medicine, Harvard Medical School
Welcome Remarks:
Dr. Yuri Quintana, PhD, Chief, Division of Clinical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center; Assistant Professor of Medicine, Harvard Medical School
The Future of Patient Engagement: Informed Patients Sharing the Work
"e-Patient Dave" deBronkart, Founding Co-chair, Society for Participatory Medicine and HL7 FHIR Patient Empowerment Workgroup
Panel 1: Patient Perspectives
Living a Full Life: Managing chronic conditions in a family of five
Elizabeth "Betsy" Lowe, Patient & Family Advisor, Beth Israel Deaconess Medical Center; Patient Advisor, Open Notes; DCI Network Working Group 2 Steering Committee
Panel 1: Patient Perspectives
Self-Advocating While Seeking a Medical Balance Quality of Life
Panel 1: Patient Perspectives
From Subjects to Partners: The Evolution of Patient Roles in Health Research & Innovation
Liz Salmi, Patient Initiatives Director, OpenNotes, Beth Israel Deaconess Medical Center
Keynote 2: Making Trust So Strong It Goes Unnoticed
Dr. Alex Jadad, MD DPhil LLD FCAHS, Founder, Centre for Digital Therapeutics; Research Professor (Adjunct), Keck Medical School, University of Southern California; Principal, Vivenxia Healthcare
Panel 2: Innovative Healthcare Delivery
Using Concepts from Behavioral Economics to Drive Patient Engagement and Behavior Change
Dr. Alexander Fanaroff, MD, MHS, Assistant Professor of Medicine, Division of Cardiology, University of Pennsylvania
Panel 2: Innovative Healthcare Delivery
Bridging the Gaps: Leveraging AI to Ensure Continuity of Care from Hospital to Home
Dr. Amy Price, DPhil, Senior Research Scientist, Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine, Dartmouth College; BMJ Research Editor (Patient and Public Partnership)
Panel 2: Innovative Healthcare Delivery
How Patient Advocacy Organizations Can Facilitate Systems Design, Implementation, and Adoption to Improve Patient Outcomes
Dr. Jerome Jourquin, PhD, Senior Director, Data Science, Susan G. Komen Foundation
Panel 3: Future of Chatbots and Ambient AI
Designing and Testing an Evidence-Based Mental Health Chatbot using Generative Artificial Intelligence
Dr. Nicholas C. Jacobson, PhD, Assistant Professor, Biomedical Data Science and Psychiatry, Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College
Panel 3: Future of Chatbots and Ambient AI
Deployment of GPT4 for Open Operational and Research Use in a Cancer Center
Dr. Jason M. Johnson, PhD, Chief Data and Analytics Officer, Dana-Farber Cancer Institute
Panel 3: Future of Chatbots and Ambient AI
(Re)Imagining Healthcare: From Chatbots to AI, the Future is Now
Kiran Dattani, MBA, MPH, Architecture & Cloud Enablement Specialist, Google Cloud Healthcare and Life Sciences
Panel 4: Future Approaches to Patient Engagement and Medication Information Access
FHIR based medication labels and HL7 Hackathons
Craig Anderson, Director, R&D Lead, International Labeling Group, Pfizer
Panel 4: Future Approaches to Patient Engagement and Medication Information Access
FDA Digital Initiatives for Medication Information
Dr. Gideon Scott Gordon, PhD, Senior Health Informatics Officer, Office of Strategic Programs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration
Closing Remarks
Dr. David Avigan, MD, Director, Cancer Center, Beth Israel Deaconess Medical Center; Senior Vice President, Cancer Services, Beth Israel Lahey Health
Closing Remarks
Dr. Edith M. Eby, PharmD, Vice President, Worldwide Medical & Safety, Chief Medical Office, Pfizer
Closing Remarks
Dr. Yuri Quintana, PhD - Next Steps for DCI Network
Keynote 3: The Other 50%: Navigating Preventative Cancer Screening For People Without A Primary Care Physician
Dr. Eric Perakslis, PhD, Chief Scientific and Data Officer, Pluto Health; Senior Vice President and Chief Technology Officer, IMIDomics
Welcome Remarks:
Dr. Yuri Quintana, PhD, Chief, Division of Clinical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center; Assistant Professor of Medicine, Harvard Medical School
Dr. Mark Zeidel, MD, Chief, Department of Medicine, Beth Israel Deaconess Medical Center
Dr. Charles Safran, MD, Professor Emeritus, Harvard Medical School
The Future of Patient Engagement: Informed Patients Sharing the Work
"e-Patient Dave" deBronkart, Founding Co-chair, Society for Participatory Medicine and HL7 FHIR Patient Empowerment Workgroup
Panel 1: Patient Perspectives
Keynote 2: Making Trust So Strong It Goes Unnoticed
Dr. Alex Jadad, MD DPhil LLD FCAHS, Founder, Centre for Digital Therapeutics; Research Professor (Adjunct), Keck Medical School, University of Southern California; Principal, Vivenxia Healthcare
Keynote 3: The Other 50%: Navigating Preventative Cancer Screening For People Without A Primary Care Physician
Dr. Eric Perakslis, PhD, Chief Scientific and Data Officer, Pluto Health; Senior Vice President and Chief Technology Officer, IMIDomics
Panel 2: Innovative Healthcare Delivery
Panel 3: Future of Chatbots and Ambient AI
Panel 4: Future Approaches to Patient Engagement and Medication Information Access
CLOSING REMARKS
Dr. David Avigan, MD, Director, Cancer Center, Beth Israel Deaconess Medical Center; Senior Vice President, Cancer Services, Beth Israel Lahey Health
DCI Network presents our latest webinar "AI in Healthcare: Real World Data Generation and the Regulatory Perspective"
DCI Network presents our latest webinar "AI in Healthcare: Risk Management, Trust, and Liability. Exploring Healthcare Risk and Risk Management in the AI World"
Pictures of the DCI Network Retreat 2023 where we honored the late DCI co-founder Dr. Howard Bleich. See also https://www.howardbleich.org
DCI Network presents our latest webinar "AI in Healthcare: The Patient Perspective".
As the medical applications of AI continue to emerge, a diverse array of possibilities unfolds before us. Amidst the excitement, it is essential to notice the perspective of patients. Historically, patients found themselves at the mercy of the medical establishment, lacking control over their care, explanations, and access to their medical information. However, this equation is shifting as empowered patients harness the potential of AI to become their own advocates.
DCI Network presents our latest webinar "AI in Healthcare: Bioethics and Religion: The Challenges For Bioethics and Religion with the Growth of Artificial Intelligence".
Join us for an engaging webinar that delves into the privacy and security of health data in mobile apps and smart homes. Healthcare is increasingly relying on digital systems to collect and analyze patient data. This presents immense opportunities for improving healthcare outcomes and providing personalized treatment options. However, it also brings a host of privacy concerns that require ethical guidelines and data collection standards.
The time to advocate for changes in medication labeling has arrived. As the patient moves to the center of healthcare, medication labels must be designed to meet their needs. The healthcare sector needs to work to deliver an output that the patient can read, understand, and adhere to. Collaborative healthcare efforts are essential to facilitate this process of designing realistic solutions to simplify patient’s lives.
The time to advocate for changes in medication labeling has arrived. As the patient moves to the center of healthcare, medication labels must be designed to meet their needs. The healthcare sector needs to work to deliver an output that the patient can read, understand, and adhere to. Collaborative healthcare efforts are essential to facilitate this process of designing realistic solutions to simplify patient’s lives.
The COVID-19 pandemic has been a catalyst for the implementation of decentralized clinical trials (DCTs) enabled by digital health technologies (DHTs) in the field while curtailing in-person interactions and putting significant demands on health care resources. DHTs offer improvements in real-time data acquisition remotely while maintaining privacy and security. Here, we describe the implications of technologies, including edge computing, zero-trust environments, and federated computing in DCTs enabled by DHTs.
Recently, advances in wearable technologies, data science and machine learning have begun to transform evidence-based medicine, offering a tantalizing glimpse into a future of next-generation ‘deep’ medicine. Despite stunning advances in basic science and technology, clinical translations in major areas of medicine are lagging. While the COVID-19 pandemic exposed inherent systemic limitations of the clinical trial landscape, it also spurred some positive changes, including new trial designs and a shift toward a more patient-centric and intuitive evidence-generation system.
Medicine’s ability to quickly respond to challenges raises questions from researchers, practitioners, and society as a whole. Our task in this study was to identify key and atypical current factors influencing the development of medicine and to predict the development of medicine in the short, medium, and long term. To implement our study, we selected 22 medical experts and applied the three-level Delphi method. The current trends caused by COVID-19 have a short-term impact, but they will launch other drivers that will transform the healthcare industry.
Inequities in cancer research and care are widespread. As more clinical data is analyzed and collected, the gaps in care for vulnerable communities have only become more glaring. A 2022 BMC Public Health study found that cancer survival rates were lower for individuals living in both a high-income country and a resource-deprived community (BMC Public Health 2022). Statistics and studies like this are bolstering research initiatives across the country.
Healthcare disparities are a persistent societal problem. One of the contributing factors to this status quo is the lack of diversity and representativeness of research efforts, which result in non-generalizable evidence that, in turn, provides suboptimal means to enable the best possible outcomes at the individual level.
Many think that patient care is at the heart of any medical center or health delivery organization. While that may be true, what is also true is that at its core, these are organizations that are largely run based on the data they produce. Not only is the data produced in these organizations for clinical care, but the same data is also at the heart of the healthcare ecosystem.