Conventional medical communication has been fundamentally broken, placing an increasing burden on healthcare professionals and significantly contributing to burnout and inefficiency. Physicians, nurses, and administrative staff face overwhelming demands, fragmented workflows, and ineffective communication channels, which detract from patient care. A major breakthrough is imminent with the emergence of intelligent chatbots powered by Large Language Models (LLMs). This talk will highlight several perspectives on how LLM powered chatbots revolutionize healthcare communication: 1) a voice powered chatbot for reminiscence therapy for early dementia patients; 2) a medical research assistant to provide query-focused medical information summary; and 3) a medical transcript assistant to identify care gaps using inductive thematic analysis.
Conventional medical communication has been fundamentally broken, placing an increasing burden on healthcare professionals and significantly contributing to burnout and inefficiency. Physicians, nurses, and administrative staff face overwhelming demands, fragmented workflows, and...
This session introduces ‘CC’, the vCare Companion Robot, which helps hospital staff reduce administrative burden by 3+ hours per shift – and increase the quality of life for overburdened care...
Healthcare providers are increasingly required to adhere to guidelines and performance measures in order to comply with quality initiative, pay for performance, and payer standards. However, in practice many providers just...
Clinical reviewers frequently face the challenge of adapting to diverse data sources and formats. To address this issue, Evernorth has developed an innovative clinical support tool designed to facilitate rapid...
Functional and integrative medicine addresses complex, chronic health conditions by integrating vast datasets spanning genetics, microbiome analysis, metabolomics, environmental influences, and lifestyle factors. Unlike traditional medical algorithms, which are often...
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