Sarah Bell, RN, MSN, MHA – Chief Clinical Officer, OutcomesAI
This presentation will explore how large language models (LLMs) are revolutionizing the way care teams operate in healthcare. The presentation will delve into the potential of LLMs to enhance clinical decision-making, streamline administrative tasks, and improve patient communication. We will discuss practical applications, such as real-time data analysis, personalized care recommendations, and virtual assistance. This presentation will provide valuable insights into how LLMs can be leveraged to support and augment the work of healthcare professionals, ultimately leading to more efficient and effective patient care.
Greg Caressi, Sr. Vice President, Chief Customer Engagement Officer, Americas Regional Leader, Frost and Sullivan
Generative AI is drawing attention and investment across the healthcare ecosystem. Life sciences companies are pouring money into Gen AI to drive higher rates of success in drug discovery. Healthcare providers are exploring Gen AI applications to improve efficiency. Payers are testing Gen AI in customer service applications. Which of the hundreds of applications of Gen AI in healthcare will really move the needle? This presentation will review Frost & Sullivan’s current analysis of Gen AI use by payers and providers, and which use cases we believe will be most impactful in the near term.
Noel Khirsukhani, Chief Growth Officer, Andor Health
Health systems face unprecedented challenges – clinicians are experiencing burnout, health systems’ staff are overburdened, and hospitals are at capacity. The acceleration in AI innovation offers promising solutions to these issues by supporting care teams with appropriate clinical workflow and decision-making, reducing the administrative burdens on providers and staff, and streamlining clinical workflows. Health systems can leverage innovative AI-first solutions for effective patient monitoring with computer vision, to streamline documentation with voice and NLP, and to enhance collaboration workflows among clinical teams to allow them to focus on patient care. Implementing AI-powered virtual capabilities represents a significant advancement in care delivery. Learn from real-world examples of how health systems are prioritizing cost-effective and impactful AI solutions, such as ambient AI technology to identify discrete patient events and AI copilot capabilities to optimize clinical workflows for interventions. By seamlessly integrating with existing infrastructure, AI technology minimizes the need for additional investments. Finally, we will discuss how AI clinical copilots automate nursing documentation, reducing administrative burdens and ensuring accuracy in patient records.
Michael Carter, Sr. Dir, Enterprise Architect, Mass General Brigham Hospital
In today’s rapidly evolving healthcare landscape, building an innovative, scalable, and compliant technology stack is crucial. This presentation will explore the journey of the MGB Enterprise Architecture team as we moved from conceptualizing a blueprint to implementing a fully functional healthcare technology stack. Our stack includes marketing technology, engagement center platforms, and digital patient-facing services such as digital health and virtual care.
We will discuss the critical architectural models we used, the significant challenges we faced, and the innovative solutions we developed to overcome these obstacles. Attendees will gain insights into best practices for creating a scalable tech stack, ensuring regulatory compliance, and fostering an environment of continuous improvement. Join us to learn from our experiences and discover valuable lessons that can be applied to your own healthcare technology initiatives.
This panel will explore the future of virtual nursing, focusing on how technology is transforming the nursing profession. Experts will discuss the role of virtual nursing in delivering patient care, including remote monitoring, telehealth, and AI-assisted decision-making. The discussion will also address the benefits and challenges of virtual nursing, the impact on patient outcomes, and the evolving skill sets required for nurses in a digital healthcare landscape. The panel will offer insights into how virtual nursing is shaping the future of healthcare delivery and what it means for the nursing workforce.
As a veteran in the field of digital mental health or what we used to call technology-informed care, Dr. Gentile will highlight important lessons learned, challenges encountered, and incredible opportunities appreciated along the way. She will focus on engagement which is a key challenge that has hindered widespread adoption of these technologies. This challenge has led to bankruptcy, plummeting valuations, and most importantly the patient does not receive the necessary help. It also gives the existing digital health interventions a bad name and hints at digital health being a sector of snake oil instead of life enhancing and sometimes life saving healthcare.
As healthcare organizations adopt Generative AI (GenAI) solutions to enhance patient care, it is vital to prioritize responsible deployment practices. This presentation will explore the distinctive needs and challenges faced by healthcare organizations deploying GenAI solutions and underscore the importance of local validation and continuous monitoring.
We will delve into the role of auditable AI Management Systems (AIMS) based on the new ISO 42001 standard, which provides a framework for streamlining GenAI oversight and mitigating potential risks. Attendees will gain practical insights into utilizing AIMS to support the responsible deployment of GenAI solutions through a use case involving the application of a GenAI solution to support the remote management of a chronic condition. It will be clear how certified AIMS can ensure that GenAI solutions are safe, effective, and aligned with organizational goals.
Learn from leaders in remote care how technology advances are enabling acute care in the home. Health systems are rapidly adopting high acuity virtual solutions to serve rural as well as urban communities with complex medical conditions. Patients, families, and clinicians are reporting high satisfaction as home hospital is now emerging as a standard of care.
Tiffany Wyatt, Director of Nursing, LookDeep Health
The healthcare industry faces unprecedented challenges with sicker patients, staff shortages, and constrained financials. Yet skepticism often surrounds the adoption of new technologies, especially AI, due to years of innovations whose promises ignore the front line realities of patient care. Overcoming this requires aligning the potential of AI with existing clinical workflows and showing impact, before attempting to redefine care delivery. Only with trust is transformation possible.
Join Tiffany Wyatt as she delves into how AI can revolutionize patient care. In this session, we will explore the practical applications of AI in the hospital setting, including fall prevention, virtual nursing, and virtual scribes/translation. Through real-world examples, Tiffany will illustrate how AI supports healthcare professionals through scenarios such as:
By the end of this presentation, you will understand the importance of integrating AI into healthcare, not just as a tool, but as a synergistic partner that amplifies the impact of human expertise. This synergy is essential for adapting to the rapid changes in healthcare and ensuring that both patients and caregivers thrive in this evolving landscape.
This panel will examine the evolving landscape of remote patient monitoring. Industry experts will discuss current trends, technological advancements, and the challenges of implementing these innovative care models. The conversation will also explore future considerations, including regulatory changes, patient engagement strategies, and the potential impact on healthcare delivery systems.
This panel will engage in a dynamic, point-counterpoint discussion on the human impacts of AI in healthcare. Participants will debate the benefits and challenges of integrating AI into patient care, including ethical considerations, the potential for improved outcomes, and the risk of depersonalization in treatment. Experts with differing perspectives will provide insights into how AI is reshaping the healthcare landscape, addressing both the promise and the pitfalls of this rapidly advancing technology.
This panel will explore how historical disparities in healthcare influence the development and application of AI in human health. Experts will discuss the risks of perpetuating existing biases in AI algorithms, the ethical responsibilities of developers, and the potential for AI to either bridge or widen gaps in health equity. The conversation will focus on how lessons from past inequities can guide the creation of more inclusive, fair, and effective AI technologies in healthcare.
AI assurance is a process for discovering, assessing, and managing risk throughout the lifecycle of an AI-enabled system so that it operates effectively to the benefits of its stakeholders. We will discuss emerging AI standards for healthcare. Learn about efforts to create AI Assurance Labs for test and evaluation services for AI developers and healthcare organizations.
The new TIPPSS global standard sponsored by the Institute for Electrical and Electronic Engineers (IEEE) and Underwriters Laboratories (UL) aims to enable increased TIPPSS – Trust, Identity, Privacy, Protection, Safety and Security – for humans, data, devices, systems and organizations in this increasingly connected world. The first TIPPSS standard was published this year, focused on clinical Internet of Things (IoT) data and device interoperability. It applies to patients, data, devices, providers, and healthcare systems. The Speaker, Florence Hudson, is the Chair of the standard working group and will share the goals, scope and elements of the standard for clinical IoT, and the envisioned TIPPSS efforts for all cyberphysical systems, from connected vehicles to the smart grid, smart cities, agriculture, and your industry of choice.
Developing a Safety Score for Automated Evaluation of AI-Generated Health Advice
Anthony Koo, M.D. et al, Phoenix Children’s Hospital, USA
Reduction of Preoperative Anxiety Using Virtual Reality vs Midazolam: A Randomized Controlled Trial
Lamech Sigu, IT Lead, International Cancer Institute, Kenya
Role of Digital Technologies in Healthcare Systems
Jennifer Goldstack CEO DiME Society/CHAI
This keynote will address the critical to success factors required for identifying problem solution fit and product impact fit across a broad spectrum of digital health innovations. Featuring case studies and open access resources, this talk will demonstrate the value proposition of intentional digital health solution design, development, and deployment to deliver system efficiencies and increased revenues alongside increased access, equity, and outcomes.