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Nathan C. Hulse

Nathan C. Hulse, PhD

Languages spoken: English, Portuguese

Academic Information

Departments Adjunct - Biomedical Informatics

Academic Office Information

Nathan.Hulse@hsc.utah.edu

Research Interests

  • Medical Informatics
  • Knowledge Management, Clinical
  • Consumer Health Informatics
  • Clinical Information Models
  • Clinical Research Informatics
  • Biomedical Informatics
  • Health Information Standards Development and Use
  • Medical Informatics Applications
  • Clinical Decision Support Systems
  • Genetic Predisposition to Disease
  • Integration of Genetic Data in Medical Records
  • Knowledge Representation
  • Knowledge Discovery

As the director of the clinical knowledge management development team at Intermountain Healthcare, I manage a team of software developers who build and maintain our enterprise clinical knowledge repository. I have relevant experience in clinical knowledge management, enterprise data warehousing, and relevant healthcare data exchange standards. I have been a member of the international health IT standards body Health Level Seven (HL7) since 2006. As part of my work with that group, I have applied working experience with the standards created by the Clinical Decision Support Workgroup. In addition, I maintain a close working relationship with the leadership of the Clinical Genetics Institute at Intermountain Healthcare on a number of strategic projects. I have worked previously with clinicians on a number of important development projects, including the development of both patient and provider-facing applications with strong ties to clinically relevant patient education materials.

I have previously worked the University of Utah and Intermountain Healthcare’s enterprise data warehouse teams as part of a local, state-based federated data sharing environment, called FURTHeR. I have worked with local physician leadership and technical teams to build this infrastructure in support of a statewide research effort aimed to better characterize genetic predispositions for specific adverse pregnancy outcomes.

My current research projects include:
- Infobutton development at Intermountain (for providers via Cerner's EHR and for patients through our patient portal)
- Family health history collection tools
- Consumer-facing risk assessment tools
- A FitBit project aimed at connecting patient's activity data back to their profiles to reduce risk of disease
- Integration of full pedigrees into the EHR
- Representation of genetic data in the medical record.

ResearchGate.Net profile: https://www.researchgate.net/profile/Nathan_Hulse
Google Scholar profile: http://scholar.google.com/citations?user=4xfeEZsAAAAJ&hl=en
LinkedIn profile: https://www.linkedin.com/in/nathanhulse

Education History

Doctoral Training University of Utah
PhD
University of Utah
BS
Undergraduate University of Utah
BS

Selected Publications

Journal Article

  1. Hulse NC, Galland J, Borsato, EP (2012 November). Evolution in Clinical Knowledge Management Strategy at Intermountain Healthcare. 2012, 390–399.
  2. Hulse NC, Ranade-Kharkar P, Post H, Wood GM, Williams MS, Haug PJ (2011 October 22). Development and Early Usage Patterns of a Consumer-Facing Family Health History Tool. 2011(2011), 578-587.
  3. Kawamoto K, Del Fiol G, Strasburg HR, Hulse NC et al (2010 November 13). Multi-National, Multi-Institutional Analysis of Clinical Decision Support Data Needs to Inform Development of the HL7 Virtual Medical Record Standard. 2010(2010), 377-381.
  4. Hulse NC, Wood GM, Haug PJ, Williams MS (2010). Deriving consumer-facing disease concepts for family health histories using multi-source sampling. J Biomed Inform, 43(5), 716-24.
  5. Greenes R, Bloomrosen M, Brown-Connolly NE, Clayton C, Detmer DE, Enberg R, Fridsma D, Fry E, Goldstein MK, Haug P, Hulse N, Hongsermeier T, Maviglia S, Robbins CW, Shah H (2010). The Morningside Initiative: Collaborative Development of a Knowledge Repository to Accelerate Adoption of Clinical Decision Support. Open Med Inform J, 4, 287-290.
  6. Hulse NC, Haug PJ (2010). Metadata extraction routines for improving infobutton performance. AMIA Annu Symp Proc, 2010, 326-30.
  7. Del Fiol G, Cimino JJ, Maviglia SM, Strasberg HR, Jackson BR, Hulse NC (2010). A large-scale knowledge management method based on the analysis of the use of online knowledge resources. AMIA Annu Symp Proc, 2010, 142-6.
  8. Hulse NC, Del Fiol G, Bradshaw RL, Roemer LK, Rocha RA (2008). Towards an on-demand peer feedback system for a clinical knowledge base: a case study with order sets. J Biomed Inform, 41(1), 152-64.
  9. Hulse NC, Del Fiol G, Rocha RA (2006). Modeling end-users' acceptance of a knowledge authoring tool. Methods Inf Med, 45(5), 528-35.
  10. Hulse NC, Rocha RA, Del Fiol G, Bradshaw RL, Hanna TP, Roemer LK (2005). KAT: a flexible XML-based knowledge authoring environment. J Am Med Inform Assoc, 12(4), 418-30.
  11. Hulse NC, Del Fiol G, Rocha RA (2005). Development and validation of XML-based calculations within order sets. AMIA Annu Symp Proc, 360-4.
  12. Hulse NC, Rocha RA, Del Fiol G, Bradshaw RL, Hanna TP, Roemer LK (2004). The knowledge authoring tool: an XML-based knowledge acquisition environment. Conf Proc IEEE Eng Med Biol Soc, 5, 3350-3.

Conference Proceedings

  1. Hulse NC, Long J, Tao C (11/16/2013). Combining infobuttons and semantic web rules for identifying patterns and delivering highly-personalized education materials. AMIA Annu Symp Proc, 2013, 638-47.