Catherine J. Staes

Catherine J. Staes, PhD, MPH, RN, FAMIA, FACMI

Academic Information

Departments Adjunct - Biomedical Informatics

Catherine J. Staes earned her MPH from John Hopkins University and her PhD in Medical Informatics from the University of Utah and is a Fellow in the American College of Medical Informatics (ACMI).

Dr. Staes is a Professor Emeritus at the University of Utah's College of Nursing, and the former Director of the Nursing Informatics Program (2018-23). She is also an Adjunct Professor in the Department of Biomedical Informatics where she was on the faculty for 11 years (2006-18) leading efforts in the area of population and public health informatics. Her expertise involves systems analysis, decision support, and standards to improve communication between public health and clinical entities, assisting clinicians in making decisions that meet public health goals. This involves understanding the current processes for communicating public health guidelines and reporting requirements and designing systems and knowledge that can be implemented in the clinical setting. Dr. Staes' focus also includes developing and delivering curriculum about nursing informatics, public health informatics, clinical decision support, and standards and terminology for graduate informatics students and the public health workforce.

Prior to joining the Biomedical Informatics Department in 2006, Dr. Staes worked primarily as an epidemiologist but has other healthcare experience as well. As a clinical nurse, she worked in a variety of areas including pediatric intensive care, infectious disease/oncology (AIDS), and in rural public health clinics with the U.S. Public Health Service (1981 to 1986). As an epidemiologist (1988 to 2000), Dr. Staes worked for the Centers for Disease Control (CDC), the North Carolina State Department of Health, and the Salt Lake Valley Health Department, where she worked in communicable disease control, lead poisoning prevention, and surveillance of injuries. She honed her public health research skills as an Epidemic Intelligence Service (EIS) Officer at the CDC, where she earned the Alexander Langmuir Prize. After earning her PhD, she worked as a knowledge engineer for Theradoc, a decision-support vendor.

“Informatics provides exciting opportunities and new strategies that can improve public health practice and clinical care. In particular, the evolving standards for clinical terminology, decision support, and knowledge management enable interoperability and communication that can directly impact the health of populations through improvements in the implementation of public health guidelines at the point of care.”

http://scholar.google.com/citations?user=xwshiGoAAAAJ&hl=en&oi=ao

Education History

Undergraduate Georgetown University
 BSN
Graduate Training Johns Hopkins University
 MPH
Fellowship Centers for Disease Control and Prevention
 Fellow
Graduate Training University of Utah
 PHD

Selected Publications

Journal Article

  1. Staes C, Matte T, Copley CG, Flanders D, Binder S (1994). Retrospective study of the impact of lead-based paint hazard remediation on children's blood lead levels in St. Louis, Missouri. Am J Epidemiol, 139(10), 1016-26. (Read full article)
  2. Staes CJ, Schlenker TL, Risk I, Cannon KG, Harris H, Pavia AT, Shapiro CN, Bell B (2000). Sources of infection among persons with acute hepatitis A and no identified risk factors during a sustained community-wide outbreak. Pediatrics, 106(4), E54. (Read full article)
  3. Staes C, Jacobs J, Mayer J, Allen (2013). Description of outbreaks of health-care-associated infections related to compounding pharmacies, 2000-12. American journal of health-system pharmacy, 70(15), 1301-12. (Read full article)
  4. Staes CJ, Huff SM, Evans RS, Narus SP, Tilley C, Sorensen J (2005). Development of an information model for storing organ donor data within an electronic medical record. Journal of the American Medical Informatics Association, 12(3), 357-63. (Read full article)
  5. Staes CJ, Bennett ST, Evans RS, Narus SP, Huff SM, Sorensen J (2006). A case for manual entry of structured, coded laboratory data from multiple sources into an ambulatory electronic health record. Journal of the American Medical Informatics Association, 13(1), 12-5. (Read full article)
  6. Staes CJ, Evans RS, Rocha BH, Sorensen JB, Huff SM, Arata J, Narus S (2008). Computerized alerts improve outpatient laboratory monitoring of transplant patients. Journal of the American Medical Informatics Association, 15(3), 324-32. (Read full article)
  7. Tinoco A, Evans RS, Staes CJ, Lloyd JF, Rothschild JM, Haug P (2011). Comparison of computerized surveillance and manual chart review for adverse events. Journal of the American Medical Informatics Association, 18(4), 491-7. (Read full article)
  8. Duncan J, Narus SP, Clyde S, Eilbeck K, Thornton S, Staes (2015). Birth of identity: understanding changes to birth certificates and their value for identity resolution. Journal of the American Medical Informatics Association, 22(e1), e120-9. (Read full article)
  9. Kawamoto K, Martin CJ, Williams K, Tu MC, Park CG, Hunter C, Staes CJ, Bray BE, Deshmukh VG, Holbrook RA, Morris SJ, Fedderson MB, Sletta A, Turnbull J, Mulvihill SJ, Crabtree GL, Entwistle DE, McKenna QL, Strong MB, Pendleton RC, Lee V (2015). Value Driven Outcomes (VDO): a pragmatic, modular, and extensible software framework for understanding and improving health care costs and outcomes. Journal of the American Medical Informatics Association, 22(1), 223-35. (Read full article)
  10. *Rajeev D, Staes CJ, Evans RS, Mottice S, Rolfs R, Samore MH, Whitney J, Kurzban R, Huff SM (*PhD student directed by Staes (2010). Development of an Electronic Public Health Case Report using HL7 v2.5 to Meet Public Health Needs. Journal of the American Medical Informatics Association, 17(1), 34-41.
  11. Staes CJ, Jellison J, Kurilo MB, Keller R, Kharrazi (2020). Response to authors of "Barriers to hospital electronic public health reporting and implications for the COVID-19 pandemic". Journal of the American Medical Informatics Association, 27(11), 1821-1822. (Read full article)
  12. Staes CJ, Evans RS, Narus SP, Huff SM, Sorensen J (2007). System analysis and improvement in the process of transplant patient care. Studies in health technology and informatics, 129(Pt 2), 915-9. (Read full article)
  13. Staes CJ, Gesteland PH, Allison M, Mottice S, Rubin M, Shakib JH, Boulton R, Wuthrich A, Carter ME, Leecaster M, Samore MH, Byington C (2009). Urgent care providers' knowledge and attitude about public health reporting and pertussis control measures: implications for informatics. Journal of public health management and practice, 15(6), 471-8. (Read full article)
  14. Shakib JH, Wyman L, Gesteland PH, Staes CJ, Bennion DW, Byington C (2009). Should the pertussis case definition for public health reporting be refined?. Journal of public health management and practice, 15(6), 479-84. (Read full article)
  15. Staes CJ, Wuthrich A, Gesteland P, Allison MA, Leecaster M, Shakib JH, Carter ME, Mallin BM, Mottice S, Rolfs R, Pavia AT, Wallace B, Gundlapalli AV, Samore M, Byington C (2011). Public health communication with frontline clinicians during the first wave of the 2009 influenza pandemic. Journal of public health management and practice, 17(1), 36-44. (Read full article)
  16. Garrett NY, Mishra N, Nichols B, Staes CJ, Akin C, Safran (2011). Characterization of public health alerts and their suitability for alerting in electronic health record systems. Journal of public health management and practice, 17(1), 77-83. (Read full article)
  17. Botkin JR, Anderson R, Staes C, Longo (2009). Developing a National Registry for conditions identifiable through newborn screening. Genetics in medicine, 11(3), 176-82. (Read full article)
  18. Kukhareva P, Staes C, Noonan KW, Mueller HL, Warner P, Shields DE, Weeks H, Kawamoto (2017). Single-reviewer electronic phenotyping validation in operational settings: Comparison of strategies and recommendations. Journal of biomedical informatics, 66, 1-10. (Read full article)
  19. Taber P, Staes CJ, Phengphoo S, Rocha E, Lam A, Del Fiol G, Maviglia SM, Rocha R (2021). Developing a sampling method and preliminary taxonomy for classifying COVID-19 public health guidance for healthcare organizations and the general public. Journal of biomedical informatics, 120, 103852. (Read full article)
  20. Staes CJ, Xu W, LeFevre SD, Price RC, Narus SP, Gundlapalli A, Rolfs R, Nangle B, Samore M, Facelli J (2009). A case for using grid architecture for state public health informatics: the Utah perspective. BMC medical informatics and decision making, 9, 32. (Read full article)
  21. Walton NA, Poynton MR, Gesteland PH, Maloney C, Staes C, Facelli J (2010). Predicting the start week of respiratory syncytial virus outbreaks using real time weather variables. BMC medical informatics and decision making, 10, 68. (Read full article)
  22. Davis K, Staes C, Duncan J, Igo S, Facelli J (2012). Identification of pneumonia and influenza deaths using the Death Certificate Pipeline. BMC medical informatics and decision making, 12, 37. (Read full article)
  23. Holbrook R, Staes C, Longo N, Botkin J, Anderson R, Mitchell (2007). Development of requirements and a pilot registry for long-term follow-up of children with heritable conditions. AMIA ... Annual Symposium proceedings. AMIA Symposium, 977. (Read full article)
  24. Gesteland PH, Allison MA, Staes CJ, Samore MH, Rubin MA, Carter ME, Wuthrich A, Kinney AY, Mottice S, Byington C (2008). Clinician use and acceptance of population-based data about respiratory pathogens: implications for enhancing population-based clinical practice. AMIA ... Annual Symposium proceedings. AMIA Symposium, 232-6. (Read full article)
  25. Jiang Y, Staes CJ, Adams TD, Hunt S (2009). Evaluation of risk scores derived from the health family tree program. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2009, 286-90. (Read full article)
  26. Rajeev D, Staes C, Evans RS, Price A, Hill M, Mottice S, Risk I, Rolfs (2011). Evaluation of HL7 v2.5.1 electronic case reports transmitted from a healthcare enterprise to public health. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2011, 1144-52. (Read full article)
  27. Eilbeck KL, Lipstein J, McGarvey S, Staes C (2014). Evaluation of need for ontologies to manage domain content for the Reportable Conditions Knowledge Management System. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014, 496-505. (Read full article)
  28. Kukhareva PV, Kawamoto K, Shields DE, Barfuss DT, Halley AM, Tippetts TJ, Warner PB, Bray BE, Staes C (2014). Clinical Decision Support-based Quality Measurement (CDS-QM) Framework: Prototype Implementation, Evaluation, and Future Directions. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014, 825-34. (Read full article)
  29. Lin Y, Staes CJ, Shields DE, Kandula V, Welch BM, Kawamoto (2015). Design, Development, and Initial Evaluation of a Terminology for Clinical Decision Support and Electronic Clinical Quality Measurement. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2015, 843-51. (Read full article)
  30. Tippetts TJ, Warner PB, Kukhareva PV, Shields DE, Staes CJ, Kawamoto (2015). Challenges and Solutions in Optimizing Execution Performance of a Clinical Decision Support-Based Quality Measurement (CDS-QM) Framework. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2015, 1194-203. (Read full article)
  31. Wan YJ, Staes C (2017). Melinda - A custom search engine that provides access to locally-developed content using the HL7 Infobutton standard. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016, 2043-2052. (Read full article)
  32. Staes CJ, Huff SM, Tilley C, Narus SP, Sorensen JB, Evans R (2003). Development of an information model for solid organ transplantation. AMIA ... Annual Symposium proceedings. AMIA Symposium, 1015. (Read full article)
  33. Kukhareva P, Weir CR, Staes C, Borbolla D, Slager S, Kawamoto (2018). Integration of Clinical Decision Support and Electronic Clinical Quality Measurement: Domain Expert Insights and Implications for Future Direction. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018, 700-709. (Read full article)
  34. Weir CR, Staes C, Slager S, Taft T, Chidambaram V, Kramer H, Bray BE, Moore S (2018). What are they trying to do?: An analysis of Action Identities in using electronic documentation in an EHR. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017, 1764-1772. (Read full article)
  35. Unni P, Staes C, Weeks H, Kramer H, Borbolla D, Slager S, Taft T, Chidambaram V, Weir (2017). Why aren't they happy? An analysis of end-user satisfaction with Electronic health records. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016, 2026-2035. (Read full article)
  36. Taft T, Staes C, Slager S, Weir (2017). Adapting Nielsen's Design Heuristics to Dual Processing for Clinical Decision Support. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016, 1179-1188. (Read full article)
  37. Xu W, Pettey W, Livnat Y, Gesteland P, Rajeev D, Reid J, Samore M, Evans RS, Rolfs RT, Staes (2011). Strengthening Partnerships along the Informatics Innovation Stages and Spaces: Research and Practice Collaboration in Utah. Online journal of public health informatics, 3(3), (Read full article)
  38. Staes CJ, Altamore R, Han E, Mottice S, Rajeev D, Bradshaw (2011). Evaluation of knowledge resources for public health reporting logic: Implications for knowledge authoring and management. Online journal of public health informatics, 3(3), (Read full article)
  39. Duncan J, Eilbeck K, Narus SP, Clyde S, Thornton S, Staes (2015). Building an Ontology for Identity Resolution in Healthcare and Public Health. Online journal of public health informatics, 7(2), e219. (Read full article)
  40. Jacobs J, Weir C, Evans RS, Staes (2014). Assessment of readiness for clinical decision support to aid laboratory monitoring of immunosuppressive care at U.S. liver transplant centers. Applied clinical informatics, 5(4), 988-1004. (Read full article)
  41. Douthit BJ, Del Fiol G, Staes CJ, Docherty SL, Richesson R (2021). A Conceptual Framework of Data Readiness: The Contextual Intersection of Quality, Availability, Interoperability, and Provenance. Applied clinical informatics, 12(3), 675-685. (Read full article)
  42. Tiase VL, Wawrzynski SE, Sward KA, Del Fiol G, Staes C, Weir C, Cummins M (2021). Provider Preferences for Patient-Generated Health Data Displays in Pediatric Asthma: A Participatory Design Approach. Applied clinical informatics, 12(3), 664-674. (Read full article)
  43. Gren LH, Porucznik CA, Joy EA, Lyon JL, Staes CJ, Alder S (2013). Point-of-Care Testing as an Influenza Surveillance Tool: Methodology and Lessons Learned from Implementation. Influenza research and treatment, 2013, 242970. (Read full article)
  44. Tiase VL, Sward KA, Del Fiol G, Staes C, Weir C, Cummins M (2021). Patient-Generated Health Data in Pediatric Asthma: Exploratory Study of Providers' Information Needs. JMIR pediatrics and parenting, 4(1), e25413. (Read full article)
  45. Douthit BJ, Staes CJ, Del Fiol G, Richesson R (2021). A thematic analysis to examine the feasibility of EHR-based clinical decision support for implementing Choosing Wisely ® guidelines. JAMIA open, 4(2), ooab031. (Read full article)
  46. Tiase VL, Hull W, McFarland MM, Sward KA, Del Fiol G, Staes C, Weir C, Cummins M (2020). Patient-generated health data and electronic health record integration: a scoping review. JAMIA open, 3(4), 619-627. (Read full article)
  47. Kukhareva PV, Kawamoto K, Shields DE, Barfuss DT, Halley AM, Tippetts TJ, Warner PB, Bray BE, Staes C (2014). Clinical Decision Support-based Quality Measurement (CDS-QM) Framework: Prototype Implementation, Evaluation, and Future Directions (Nominated for Best Paper Award). 2014(2014), 825-834.
  48. Jacobs J, Evans S, Narus S, Staes (2015). Longitudinal Analysis of Computerized Alerts for Laboratory Monitoring of Post-liver Transplant Immunosuppressive Care (nominated for Best Student Paper Award). 2015(2015), 1918-1926.
  49. Chalkidis G, McPherson J, Beck A, Newman M, Yui S, Staes (2022). Development of a Machine Learning Model Using Limited Features to Predict 6-Month Mortality at Treatment Decision Points for Patients With Advanced Solid Tumors. JCO clinical cancer informatics, 6, e2100163. (Read full article)
  50. Richesson R (2020). Measuring Implementation Feasibility of Clinical Decision Support Alerts for Clinical Practice Recommendations. 27(4), 514-521.
  51. Hartsell J, Wilson FA, Shoaf K, Dunn A, Samore MH, Staes C (2024). An economic evaluation of the expansion of electronic case reporting in an academic healthcare setting. JAMIA open, 7(1), ooad102. (Read full article)
  52. Chalkidis G, McPherson JP, Beck A, Newman MG, Guo JW, Sloss EA, Staes C (2023). External Validation of a Machine Learning Model to Predict 6-Month Mortality for Patients With Advanced Solid Tumors. JAMA network open, 6(8), e2327193. (Read full article)
  53. Staes CJ, Beck AC, Chalkidis G, Scheese CH, Taft T, Guo JW, Newman MG, Kawamoto K, Sloss EA, McPherson J (2023). Design of an interface to communicate artificial intelligence-based prognosis for patients with advanced solid tumors: a user-centered approach. Journal of the American Medical Informatics Association, 31(1), 174-187. (Read full article)
  54. Radloff CL, Bennett H, Staes C (2022). Utility of Poison Control Center Data for Automated Opioid Overdose Surveillance. Journal of public health management and practice, 28(3), 272-281. (Read full article)

Review

  1. Kukhareva PV, Weir C, Del Fiol G, Aarons GA, Taft TY, Schlechter CR, Reese TJ, Curran RL, Nanjo C, Borbolla D, Staes CJ, Morgan KL, Kramer HS, Stipelman CH, Shakib JH, Flynn MC, Kawamoto (2022). Evaluation in Life Cycle of Information Technology (ELICIT) framework: Supporting the innovation life cycle from business case assessment to summative evaluation. Journal of biomedical informatics, 127, 104014. (Read full article)

Conference Proceedings

  1. Abellara J, Kesarinath G, Staes CJ, Altamore R, Giannone G, Dolin R (2009). Development of a Public Health Case Report Implementation Guide: Enabling the Exchange of Electronic Health Record data using HL7 Clinical Document Architecture format. 753.
  2. Dykman D, Staes CJ, Facelli (2009). Web service architecture for management of reportable condition reporting and rules. 830.
  3. Douthit B, Staes CJ, Del Fiol G, Richesson R (2020). Examining the Feasibility of EHR-based Clinical Decision Support for Implementing Choosing Wisely® Guidelines: A Thematic Analysis.
  4. Kirish E, Kramer H, Staes (2020). Clinical Workflow Considerations When Integrating a Controlled Substance Database (CSD) within an Electronic Health Record (EHR).
  5. Taber P, Rocha E, Del Fiol G, Staes CJ, Lam A, Phengphoo S, Maviglia SM, Rocha R (2020). An automated process to catalog and track COVID-19 public health guidance. 5(1),
  6. Phengphoo S, Taber P, Lam A, Rocha E, Del Fiol G, Maviglia SM, Rocha RA, Staes C (2020). Linking COVID-19 guidance for healthcare provider’s to Ely’s taxonomy of generic clinical questions. 5(1),
  7. Saldi Yusu (2020). Standardizing Nursing Orders to Better Assess Acuity and Improve Nursing Workflow.
  8. Jacobs (2015).

Letter

  1. Epidemic Intelligence Service Officers Past and Presen (2020). Open Letter by Epidemic Intelligence Service Officers Past and Present - in Support of CDC. 41(10), 12-18.

Abstract

  1. Phengphoo (2020). Linking COVID-19 guidance for healthcare provider's to Ely's taxonomy of generic clinical questions. Learning health systems, 5(1), 2.

Other

  1. Cummins M, Turcotte C, McFarland MM, Staes (2022). Research outcomes of linked prescription drug monitoring program data: a scoping review protocol. BMJ open, 12(4), e055290. (Read full article)
  2. Cummins M, Turcotte C, McFarland MM, Staes (2022). Research outcomes of linked prescription drug monitoring program data: a scoping review protocol. BMJ open, 12(4), e055290. (Read full article)

Report

  1. Staes C, Campbell (2017). Whitepaper: From retrospective mapping to prospective standardization: A comparison of integration strategies to achieve semantic data interoperability. Available from: http://solor.io/wp-content/uploads/2017/11/White-paper_Achieving-semantic-data-interoperability.pdf.