GenAI’s applications in healthcare are diverse, with common uses including answering patient questions, medical chatbots, and information extraction. Technical leaders prioritize information extraction and biomedical research for data-driven insights. Respondents believe GenAI will have a significant impact on transcribing doctor-patient conversations, medical chatbots, and answering patient questions in the future, with smaller companies having high expectations for these technologies. Human intervention remains necessary for accuracy, security, and privacy when evaluating LLMs, with Technical Leaders placing greater emphasis on these criteria. Cost is the least important factor, indicating a willingness to invest in reliable models. Major roadblocks to adoption include concerns about accuracy, legal and reputational risks, and alignment with industry-specific needs.

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Source link: https://www.cio.com/article/2511399/despite-adoption-hurdles-healthcare-is-all-in-on-generative-ai.html