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Generative AI can be Applied to nearly Every Healthcare Use Case You can Think Of
Generative AI holds significant promise for transforming healthcare, but its full potential is yet to be realized. Vrinda Khurjekar, an AI consultant, believes generative AI can revolutionize patient experiences, clinical efficiency, and data summarization. However, challenges include the lack of clear use-case identification, model hallucinations, and the high cost of implementation. Healthcare leaders must prioritize data governance and vendor selection, ensuring strict compliance and a zero-trust policy. Oracle's Clinical Digital Assistant is seen as a promising to streamline administrative tasks. In five years, generative AI is expected to be integrated into mainstream healthcare, with a focus on preventive care and improved regulatory guidelines.
Medigy Insights
Generative AI shows great potential for healthcare transformation, but obstacles like unclear use cases, model errors, and implementation costs persist. Vrinda Khurjekar, an AI consultant, envisions its impact on patient experiences and clinical efficiency. To succeed, healthcare leaders must emphasize data governance, compliance, and a zero-trust policy in vendor relationships. Oracle's Clinical Digital Assistant offers promise in streamlining administrative tasks. In five years, generative AI is anticipated to be an integral part of healthcare, emphasizing preventive care and strengthened regulatory guidelines to enhance patient well-being.
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