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Cognitive Automation in E-triage, Detection and Diagnosis of Neurological Disorders – A Case Study in Stroke

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The healthcare industry today is under siege to address growing macroeconomic and socioeconomic challenges including high costs and low quality, increasing federal regulations, patient expectations, health inequities, and provider consolidation. Healthcare waste alone constitutes 25-30% or about $1 trillion of the healthcare spending in the United States. To increase efficiency and accessibility, artificial intelligence (AI) has recently been used in automating business, administrative, and operational processes in eliminating mundane, repetitive tasks performed by humans. But can we use AI to address the remaining tasks that involve large amounts of data and require human cognitive capabilities to perform non-routine tasks and enhance human decision-making performance? In this discussion, we will present a use case on investigating, applying, and implementing cognitive automation in e-triage, detection, diagnosis, and post-hospitalization care of Stroke in our health system, involving convergence of multiple AI technologies. We hope to engage a meaningful conversation on the possibility of cognitive automation in medicine. If cognitive automation is successful in medicine, what would be the future role of physicians? What happens to the patient-physician relationship and patient experience?
Co-sponsored by: Life Members Affinity Group, Denver CO
Speaker(s): Dr. Stephen Wong, Ph.D. ,
Agenda:
9:00 AM – 9:45 AM – Presentaion by Dr. Wong
9:45 AM – 10:00 AM – Q & A
Virtual: https://events.vtools.ieee.org/m/320139

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