How Can Patient Data Prevent ER Visits with Tayaru Bayyana
About this episode
This episode discusses how machine learning can help care teams recognize patient risks earlier to prevent unnecessary ER visits.
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…
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