How Can Patient Data Prevent ER Visits with Tayaru Bayyana

Your patient says, “Something feels different.”But is it something they can monitor at home?Something that needs an appointment tomorrow?Or a warning sign that could become an ER visit?That uncertainty affects patients and caregivers. It also puts pressure on clinicians who need the right information at the right time without another dashboard demanding their attention.In this episode, Sabrina Runbeck and Tayaru Bayyana, CEO and Founder of SereniCare AI and the 2026 HealthTech Impact Award winner recipient in the category of Digital Health, discuss how machine learning can help care teams recognize patient risks earlier.For founders asking, “How do I get a hospital to pilot my solution?” or “How do I prove ROI without adding work for clinicians?”This conversation gets into the realities behind those questions.𝗜𝗻 𝘁𝗵𝗶𝘀 𝗲𝗽𝗶𝘀𝗼𝗱𝗲, 𝘆𝗼𝘂’𝗹𝗹 𝗹𝗲𝗮𝗿𝗻:✅ Why communication gaps can leave chronic-care patients unsure when to seek help✅ How patient-reported symptoms can give providers more context between visits✅ Why healthtech solutions need to coexist with EHRs like Epic and Cerner✅ How remote monitoring data and patient symptoms can work together✅ Why reducing provider workload matters when designing clinical technology✅ What founders should prove during an early hospital pilot✅ How Tayaru is approaching oncology first while building infrastructure that could extend into other chronic conditions✅ Why patient outcomes, provider efficiency, and health system cost savings all matter when demonstrating value𝗥𝗲𝗹𝗮𝘁𝗲𝗱 𝗘𝗽𝗶𝘀𝗼𝗱𝗲𝘀 𝗬𝗼𝘂’𝗹𝗹 𝗟𝗼𝘃𝗲Why Samsung Bought Xealth and What Founders Should Learn - Explains how Xealth created enterprise value by connecting digital tools, devices, and patient care directly into clinical workflows Why Isn’t Your Digital Health Getting Adopted Faster - Explores why healthcare innovation succeeds or fails based on where and how technology enters the care pathway, including clinician behavior, workforce scalability, AI, and moving from innovation to real-world adoption.How to Build AI Clinicians Trust and Teams Stick  - Discusses why healthcare AI n