Stanley M. Huff, M.D.

Research Interests

  • Electronic Health Record Systems
  • Logical Observation Identifiers Names and Codes
  • SNOMED CT
  • Standard Coded Terminologies
  • Clinical Information Models
  • Clinical Data Exchange Standards

Languages

  • English

Academic Information

  • Departments: Biomedical Informatics - Professor (Clinical), Nursing - Adjunct Professor, Pathology - Adjunct Assistant Professor
  • Divisions: Clinical Pathology

Board Certification

  • National Board of Medical Examiners
  • American Society for Clinical Pathology (Medical Laboratory Scientist)
  • American Board of Preventive Medicine (Clinical Informatics)

Academic Office Information

  • (801) 507-9111
  • Biomedical Informatics
    Intermountain Healthcare Transformation Laboratory
    Murray, UT 84107

Email: stan.huff@imail.org

Research Statement

Medical information representation in database systems; standards for the exchange of data between medical computer systems, including HL7, LOINC and SNOMED C; Electronic Medical Record architecture and design.

Academic Bio

Dr. Stanley M. Huff earned his MD from the University of Utah’s School of Medicine. He is a clinical professor in the University of Utah’s Department of Biomedical Informatics, an adjunct professor of Nursing, and an adjunct assistant professor of Pathology at the University of Utah.

His expertise is in the following areas: medical information representation in database systems; standards for the exchange of data between medical computer systems, including Health Level Seven (HL7), Logical Observation Identifiers Names and Codes (LOINC), and SNOMED CT; as well as Electronic Medical Record architecture and design.

Dr. Huff joined the department in 1987 as a clinical professor. He is board certified in Clinical Pathology and was elected to the American College of Medical Informatics. He serves on the Health Information Technology Standards Committee (Office of the National Coordinator for Health Information Technology), is a member of the Board of HL7, and co-chairs the LOINC Committee.

“As long as I can remember, I have been fascinated by the power of computers. It seemed like the ideal situation to me to use the power of computers to prevent disease and help patients get well faster.”

Education History

Type School Degree
Residency University of Utah
Clinical Pathology
Resident
Residency University of New Mexico
Internal Medicine
Resident
Professional Medical University of Utah
M.D.
Undergraduate Brigham Young University
Chemistry
B.S.

Selected Publications

Journal Article

  1. Quality metrics for detailed clinical models.Ahn S, Huff SM, Kim Y, Kalra D (2013). Quality metrics for detailed clinical models. Int J Med Inform, 82(5), 408-17.
  2. A semantic-web oriented representation of the clinical element model for secondary use of electronic health records data.Tao C, Jiang G, Oniki TA, Freimuth RR, Zhu Q, Sharma D, Pathak J, Huff SM, Chute CG (2013). A semantic-web oriented representation of the clinical element model for secondary use of electronic health records data. J Am Med Inform Assoc, 20(3), 554-62.
  3. There are important reasons for delaying implementation of the new ICD-10 coding system.Chute CG, Huff SM, Ferguson JA, Walker JM, Halamka JD (2012). There are important reasons for delaying implementation of the new ICD-10 coding system. Health Aff (Millwood), 31(4), 836-42.
  4. Modeling and executing electronic health records driven phenotyping algorithms using the NQF Quality Data Model and JBoss(R) Drools Engine.Li D, Endle CM, Murthy S, Stancl C, Suesse D, Sottara D, Huff SM, Chute CG, Pathak J (2012). Modeling and executing electronic health records driven phenotyping algorithms using the NQF Quality Data Model and JBoss(R) Drools Engine. AMIA Annu Symp Proc, 2012, 532-41.
  5. Towards a semantic lexicon for clinical natural language processing.Liu H, Wu ST, Li D, Jonnalagadda S, Sohn S, Wagholikar K, Haug PJ, Huff SM, Chute CG (2012). Towards a semantic lexicon for clinical natural language processing. AMIA Annu Symp Proc, 2012, 568-76.
  6. Auditing consistency and usefulness of LOINC use among three large institutions - using version spaces for grouping LOINC codes.Lin MC, Vreeman DJ, McDonald CJ, Huff SM (2012). Auditing consistency and usefulness of LOINC use among three large institutions - using version spaces for grouping LOINC codes. J Biomed Inform, 45(4), 658-66.
  7. Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: the SHARPn project.Rea S, Pathak J, Savova G, Oniki TA, Westberg L, Beebe CE, Tao C, Parker CG, Haug PJ, Huff SM, Chute CG (2012). Building a robust, scalable and standards-driven infrastructure for secondary use of EHR data: the SHARPn project. J Biomed Inform, 45(4), 763-71.
  8. The SHARPn project on secondary use of Electronic Medical Record data: progress, plans, and possibilities.Chute CG, Pathak J, Savova GK, Bailey KR, Schor MI, Hart LA, Beebe CE, Huff SM (2011). The SHARPn project on secondary use of Electronic Medical Record data: progress, plans, and possibilities. AMIA Annu Symp Proc, 2011, 248-56.
  9. Investigating the semantic interoperability of laboratory data exchanged using LOINC codes in three large institutions.Lin MC, Vreeman DJ, Huff SM (2011). Investigating the semantic interoperability of laboratory data exchanged using LOINC codes in three large institutions. AMIA Annu Symp Proc, 2011, 805-14.
  10. An OWL meta-ontology for representing the Clinical Element Model.Tao C, Parker CG, Oniki TA, Pathak J, Huff SM, Chute CG (2011). An OWL meta-ontology for representing the Clinical Element Model. AMIA Annu Symp Proc, 2011, 1372-81.
  11. A characterization of local LOINC mapping for laboratory tests in three large institutions.Lin MC, Vreeman DJ, McDonald CJ, Huff SM (2011). A characterization of local LOINC mapping for laboratory tests in three large institutions. Methods Inf Med, 50(2), 105-14.
  12. LOINC(R) - A Universal Catalog of Individual Clinical Observations and Uniform Representation of Enumerated Collections.Vreeman DJ, McDonald CJ, Huff SM (2010). LOINC(R) - A Universal Catalog of Individual Clinical Observations and Uniform Representation of Enumerated Collections. Int J Funct Inform Personal Med, 3(4), 273-291.
  13. Correctness of Voluntary LOINC Mapping for Laboratory Tests in Three Large Institutions.Lin MC, Vreeman DJ, McDonald CJ, Huff SM (2010). Correctness of Voluntary LOINC Mapping for Laboratory Tests in Three Large Institutions. AMIA Annu Symp Proc, 2010, 447-51.
  14. Representing Patient Assessments in LOINC(R).Vreeman DJ, McDonald CJ, Huff SM (2010). Representing Patient Assessments in LOINC(R). AMIA Annu Symp Proc, 2010, 832-6.
  15. Cohort amplification: an associative classification framework for identification of disease cohorts in the electronic health record.Welch SR, Huff SM (2010). Cohort amplification: an associative classification framework for identification of disease cohorts in the electronic health record. AMIA Annu Symp Proc, 2010, 862-6.
  16. Achieving "meaningful use" of electronic health records through the integration of the Nursing Management Minimum Data Set.Westra BL, Subramanian A, Hart CM, Matney SA, Wilson PS, Huff SM, Huber DL, Delaney CW (2010). Achieving "meaningful use" of electronic health records through the integration of the Nursing Management Minimum Data Set. J Nurs Adm, 40(7-8), 336-43.
  17. Development of an electronic public health case report using HL7 v2.5 to meet public health needs.Rajeev D, Staes CJ, Evans RS, Mottice S, Rolfs R, Samore MH, Whitney J, Kurzban R, Huff SM (2010). Development of an electronic public health case report using HL7 v2.5 to meet public health needs. J Am Med Inform Assoc, 17(1), 34-41.
  18. Evaluation of LOINC for representing constitutional cytogenetic test result reports.Heras YZ, Mitchell JA, Williams MS, Brothman AR, Huff SM (2009). Evaluation of LOINC for representing constitutional cytogenetic test result reports. AMIA Annu Symp Proc, 2009, 239-43.

Abstract

  1. Integrating the nursing management minimum data set into the logical observation identifier names and codes system.Subramanian A, Westra B, Matney S, Wilson PS, Delaney CW, Huff S, Huber D (2008). Integrating the nursing management minimum data set into the logical observation identifier names and codes system [Abstract]. AMIA Annu Symp Proc, 1148.

Video