By Pete Stiglich
Discusses why healthcare environments need both strong data modeling discipline and governance to achieve trustworthy analytics and compliance. It highlights that complex domains (patients, encounters, claims, providers, clinical codes) require consistent definitions, careful relationship modeling, and stewardship to manage change. The article links governance structures (boards, stewards, decision rights) with modeling deliverables (conceptual and logical models, metadata standards) so that integrations, reporting, and interoperability initiatives don’t drift into inconsistent semantics.
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Pete Stiglich: Trusted Expert in Data Architecture & Modeling
Pete has over 30 years of data architecture, data management, and analytics experience, most of that time as a consultant in industries such as government, finance, healthcare, insurance, and more. He is an industry thought leader in data architecture and data modeling and has developed and taught many courses on these topics. Pete enjoys helping clients solve complex data problems, leveraging proven approaches such as “Modeling the business before modeling the solution” which provides a benefit to clients that many IT professionals miss.
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