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

 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.

This engaging webinar explores various scenarios and the use cases where patients leverage AI to empower themselves. From interpreting lab results to making informed decisions about treatment options, the impact of these use cases promises to rebalance and democratize access to vital information and data. However, along with these benefits come potential risks. AI systems, particularly generative large language models, can provide newfound empowerment while simultaneously presenting challenges.

DCI Network presents our latest webinar "AI in Healthcare: Real World Data Generation and the Regulatory Perspective"

The pervasive integration of AI into every facet of our lives is an indisputable trend, and its most profound ramifications are notably pronounced within the healthcare domain. This influence came to the forefront at the HIMSS meeting held in April, where practically every prominent company in attendance at the trade show was showcasing their advancements driven by AI technology. This notable upsurge in the adoption of AI holds a range of far-reaching implications for the healthcare industry.

In the wake of this rapid expansion, it becomes imperative to raise and address pertinent questions regarding the data utilized for training AI systems. Considerations extend to the policy and regulatory dimensions of these decisions, along with the strategies regulatory bodies can employ to uphold trust and safety in this new era.

 DCI Network presents our latest webinar "AI in Healthcare: Risk Management, Trust, and Liability. Exploring Healthcare Risk and Risk Management in the AI World"

AI's integration into healthcare continues to expand, raising pertinent questions, particularly regarding how to prevent errors and the course of action when errors occur. In the prevailing paradigm, the clinician assumes the ultimate role of decision-maker, consequently bearing the final accountability for their recommendations and subsequent outcomes. In contrast, the mechanisms by which AI systems formulate conclusions often remain opaque, making it notably challenging, if not implausible, to deconstruct the decision-making processes within these systems.  How do we, as a society, figure out what role AI systems can play responsibly inside the healthcare ecosystem, and if things go awry, then what?

 DCI Network presents our latest webinar "AI in Healthcare: Bioethics and Religion: The Challenges For Bioethics and Religion with the Growth of Artificial Intelligence".

The introduction of Artificial Intelligence (AI) has enhanced efficiency, accelerated scientific breakthroughs, and improved the quality of human life. From assisting in medical diagnoses to optimizing energy consumption, AI-powered technologies have made remarkable strides. Yet, the responsible and ethical deployment of AI has become a topic of debate, with concerns about job displacement, transparency, and ethical implications.

Amidst these discussions, we must ask ourselves: What does this mean for humanity? Can we harness the potential of AI while preserving our values and not becoming overshadowed by it? As leaders, how can we inspire a healthy and purposeful engagement with this transformative technology?

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. It is the collective responsibility of the healthcare and other pivotal sectors within the digital health eco-system to come together to solve this real-world challenge. 

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.

Keynote Speaker: John Glaser, PhD, Executive-in-Residence, Harvard Medical School Executive Education

Panelists: Kristi Henderson, DNP SVP & CEO, Optum Everycare; Ateev Mehrotra, MD, MPH, Harvard Medical School ; Amar Gupta, PhD, Professor, MIT; Roy Schoenberg, MD MPH, President & Co-CEO, Amwell

John Glaser, PhD, Executive-in-Residence, Harvard Medical School Executive Education

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. Enormous contracts between the healthcare providing organization, insurance companies, pharmacy benefit managers, life science companies, and more are based on the data and the analytics that are performed on these data. This talk will outline the creation and flow of data in the healthcare ecosystem. We will describe how these data are used by any number of secondary uses to drive financial as well as healthcare related decision making. We will also discuss some of the core caveats that need to be taken into account based upon how these data are generated, stewarded, and used. This basic understanding can help those entering into or working in the ecosystem to better comprehend not only the value of this data, but how it’s used, by whom, and for what purposes.