AI and Clinical Practice—Predictive AI and Early Clinical Detection
Nov 1, 2023
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Suchi Saria, an associate professor in computer science at Johns Hopkins, discusses how AI can streamline care, the challenges in healthcare AI integration, the importance of collaborative interdisciplinary teams, exploring the impact of predictive AI in healthcare beyond chatbot technology, and the necessity of guardrails and federal oversight in AI governance.
AI implementation in healthcare requires a deep understanding of medical problems and language of technology.
AI algorithms can enhance early detection of sepsis by learning patterns from routinely collected signals.
Deep dives
The Importance of Understanding Medical Context in AI
Dr. Succi Saria highlights the challenge of engineers lacking a deep understanding of medicine when developing AI solutions. She emphasizes that defining the right problems is crucial for successful AI implementation in healthcare. Building a deep appreciation for the medical domain, as well as the language of AI technology and implementation science, is necessary at the intersection of AI and medicine.
The Potential of AI in Sepsis Management
Dr. Saria discusses the potential of AI in improving outcomes for sepsis, citing its high mortality rates and the need for early identification. She explains that AI algorithms can leverage routinely collected signals and learn precise patterns to overcome the variability of sepsis presentation across patients. Through studies conducted at multiple sites, she demonstrates the ability of AI to improve early detection rates, adoption, and outcomes in sepsis management.
Scaling AI in Healthcare and Operational Applications
Dr. Saria emphasizes the importance of scaling AI in healthcare and operational settings to streamline care and improve frontline experience. She suggests leveraging AI to optimize transitions of care, such as patient discharges, and tackling healthcare challenges like pressure ulcers. Dr. Saria also encourages focusing on measurement and rigorous evaluation of AI solutions to ensure their effectiveness and adoption in real-world clinical practice.
AI has potential to meaningfully improve patient care. How will AI advances help clinicians focus on the best use of their time and talents? In this Q&A, JAMA Editor in Chief Kirsten Bibbins-Domingo, PhD, MD, MAS, interviews Suchi Saria, PhD, MSc, an associate professor in computer science at Johns Hopkins, to discuss how AI could streamline care. Related Content: