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Michael Denton

Michael Denton

Michael Denton, RN, BSN, MS has experience in the SICU, MICU, ER, OR, telemetry, medical surgical units, geriatric care, and medical informatics. He received his Masters of Science in Nursing Informatics from the University of Utah. He is leading projects including terminology mapping and concept development using SNOMED CT, LOINC, ICD-10-CM, ICD-10-PCS, and other terminology standards. His interests are in leveraging healthcare interoperability and Meaningful Use to improve patient care and outcomes.


Fun Facts

Three words that describe me: motivated, outlandish, adventurer

If you could be any animal what would it be: a pterodactyl

What did you want to be when you grew up: I always wanted to be in some form of service position (i.e. military, police, fire fighter)

Latest from Michael Denton

Traumatic injuries in SNOMED CT

  • Friday, 10 September 2021 11:00
SNOMED CT releases updates for their international edition twice a year on January 31st and July 31st.

Who are you writing for?

  • Monday, 12 July 2021 12:57
We all write: journals, diaries, poems, blogs, postcards, Facebook posts, and I’m sure many more.
To promote industry connections and an emphasis on curricular relevance, the University of Utah Department of Biomedical Informatics holds industry-sponsored mini-conferences every April and October, called the IAB (Industry Advisory Board) Talks.

Understanding LOINC® Groups

  • Thursday, 03 January 2019 11:31
The LOINC® groups project by the Regenstrief Institute aims to give you a flexible, extensible, and computable mechanism for rolling up groups of LOINC codes for various purposes.
The September 2018 Health Level 7 (HL7) international working group meeting was held in Baltimore, Maryland and was packed full of user tutorials and learning sessions.
Now that we’ve gone over the basics required for understanding the LOINC® Document Ontology in June’s tip of the month, let’s talk about how to search for LOINC® documents – which can be difficult.
The LOINC Document Ontology was developed to identify, characterize, and organize documents exchanged between healthcare systems.
The opioid crisis has far reaching and long lasting effects, and the problem is scaling up exponentially.