SoundHound AI to Host Panel on Agentic AI

- Agentic AI, the panel's focus, moves beyond simple voice commands to create autonomous systems that can proactively make decisions and perform complex, multi-step tasks. In an ICU setting, this could involve an AI that not only flags subtle changes in vital signs but also suggests specific interventions based on the patient's comprehensive EHR data. - Panelist Northwestern Medicine has practical experience deploying AI, including a model that identifies patients with advanced heart failure by analyzing EHR data like lab results and medications, leading to more timely evaluations. Their work also includes developing predictive models for radiology and the entire electronic medical record, demonstrating a deep investment in integrating AI into clinical workflows. - SoundHound's HIPAA-compliant AI agents are designed to integrate directly with EHR systems, including Epic. This allows the AI to handle tasks like appointment scheduling and answering non-clinical questions, which aims to reduce administrative workload and patient wait times. - A frequent complaint from nurses about EHRs like Epic is the cumbersome, physician-centric design that leads to click fatigue and excessive documentation time, taking away from direct patient care. An informaticist with ICU experience is well-positioned to help optimize these systems by advocating for nurse-centered designs, such as voice-enabled documentation and mobile-friendly interfaces. - To formally pivot into informatics, ICU nurses can pursue the Nursing Informatics Certification (NI-BC) from the American Nurses Credentialing Center (ANCC). Eligibility for the exam typically requires two years of full-time practice as an RN and a minimum of 2,000 hours of informatics nursing experience within the last three years. - The discussion on AI is shaped by federal rules from the Office of the National Coordinator for Health IT (ONC) and CMS, which mandate greater interoperability through standards like HL7 FHIR (Fast Healthcare Interoperability Resources). These regulations require health IT vendors to provide standardized APIs, enabling secure data exchange between different systems, which is foundational for advanced AI applications. - The ONC's latest rules specifically target AI and algorithm transparency, requiring that certified health IT using "decision support interventions" (DSIs) disclose key information about how the predictive models work. This regulatory push ensures clinicians can better understand and trust the AI tools they use for patient care.