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Nov. 3, 2025, 1:10 p.m.
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Healthcare AI Development: Importance of Goals and Data Governance - Insights from HIMSS and PMI Experts

Brief news summary

Before developing AI tools, healthcare organizations need to establish clearly defined objectives to guide the project and ensure it addresses specific needs effectively. Equally important is implementing strong data governance practices to safeguard patient information, maintain data quality, and comply with regulatory requirements. According to experts Rob Havasy from HIMSS and Karla Eidem from PMI, these foundational steps are critical to the successful integration of artificial intelligence in healthcare settings. Clear goals help focus AI initiatives on meaningful outcomes, while robust data governance ensures trustworthiness and ethical use of data. Together, they create a solid framework that supports innovative, responsible AI deployment in healthcare organizations.

HIMSS' Rob Havasy and PMI's Karla Eidem emphasize that healthcare organizations need to establish well-defined goals and robust data governance before developing AI tools. Newsletter Signup Thank you!

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