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Mollie R. Cummins

Mollie R. Cummins, PhD, RN, FAAN, FACMI

Languages spoken: English, French

Academic Information

Departments Primary - , Adjunct - Biomedical Informatics


Academic Office Information

Research Interests

  • International and Comparative Law
  • Planetary Studies
  • Public Affairs
  • Nuclear Fission

Dr. Cummins is a health informaticist and faculty member in the informatics programs of both the College of Nursing and School of Medicine. She holds a PhD in nursing science and information science from Indiana University. In 2007, she studied methods of complexity science including agent-based modeling and network analysis at the Santa Fe Institute. Prior to her career in informatics, she practiced as an emergency nurse and family nurse practitioner. She has made numerous scholarly contributions in informatics, and leads a program of research related to the induction of knowledge models for clinical decision support, and informatics applications in poison control. Dr. Cummins is an active member of the American Medical Informatics Association, and has served on the leadership team of two working groups within that organization. She is former president of the Utah Nursing Informatics Network, and a former governing director of the Alliance for Nursing Informatics. Currently, she studies predictive modeling of MRSA and medically unexplained symptoms, as well as health information exchange in the poison control setting. Her work is funded by the Agency for Healthcare Research & Quality and the Department of Veterans Affairs.

Research Statement

My research interests relate to leveraging data for improved efficiency, communication, and decision making in health care. I developed a model for bidirectional electronic communication and information sharing across organizational boundaries using existing health information exchange technology. Currently, I'm studying the outcomes of implementing this model to support communication and collaboration between emergency departments and poison control centers for treatment of poison exposed patients. My work reflects an interdisciplinary approach to studying problems in informatics and I collaborate extensively with colleagues at the Utah Poison Control Center. Poison control centers are playing a critical role in the current epidemic of opioid overdoses. One of my studies related to health information exchange between emergency departments and poison control centers was featured in a 2014 AHRQ video found here.

In recent years, I've become increasingly engaged in clinical research informatics. I serve as a biomedical informatics lead for the University of Utah Center for Clinical and Translational Science (NCATS UL1TR001067). As a co-investigator for the Utah PRISMS Center (NIBIB U54EB021973), I'm contributing to the development of a research informatics platform that enables the integration of air quality sensors into studies of pediatric asthma. I also have expertise in applying methods of data science as an approach to leverage "big data" for decision making and insight in heatlhcare, and previously used these methods to develop predictive models in conjunction with two Department of Veterans Affairs funded studies.

Engaged in both clinical informatics and applied analytics, I'm keenly interested in the Institute of Medicine's learning health system vision. My long-term goal is to innovate information management for poisoning toward a learning health system model that brings together population health, individual patient care, and scientific discovery.

Education History

Graduate Training Indiana University
Northern Kentucky University
Undergraduate University of Illinois at Chicago
Undergraduate University of Illinois

Selected Publications

Journal Article

  1. Cummins MR (03/21/2022). Research outcomes of linked prescription drug monitoring program data: A scoping review protocol. BMJ Open.
  2. Pittman P, Rambur B, Birch S, Chan GK, Cooke C, Cummins M, Leners C, Low LK, Meadows-Oliver M, Shattell M, Taylor C, Trautman D (2021). Value-Based Payment: What Does It Mean for Nurses? Nurs Adm Q, 45(3), 179-186.
  3. Tiase VL, Wawrzynski SE, Sward KA, Del Fiol G, Staes C, Weir C, Cummins MR (2021). Provider Preferences for Patient-Generated Health Data Displays in Pediatric Asthma: A Participatory Design Approach. Appl Clin Inform, 12(3), 664-674.
  4. Cummins M, Kennedy R, McBride S, Carrington J (2021). Policy Priorities in Nursing Informatics: The American Academy of Nursing Informatics and Technology Expert Panel in 2020. Comput Inform Nurs, 39(3), 120-122.
  5. Tiase VL, Sward KA, Del Fiol G, Staes C, Weir C, Cummins MR (2021). Patient-Generated Health Data in Pediatric Asthma: Exploratory Study of Providers' Information Needs. JMIR Pediatr Parent, 4(1), e25413.
  6. Stagg B, Stein JD, Medeiros FA, Cummins M, Kawamoto K, Hess R (2021). Interests and needs of eye care providers in clinical decision support for glaucoma. BMJ Open Ophthalmol, 6(1), e000639.
  7. Alderden J, Drake KP, Wilson A, Dimas J, Cummins MR, Yap TL (2021). Hospital acquired pressure injury prediction in surgical critical care patients. BMC Med Inform Decis Mak, 21(1), 12.
  8. Stagg BC, Stein JD, Medeiros FA, Wirostko B, Crandall A, Hartnett ME, Cummins M, Morris A, Hess R, Kawamoto K (2020). Special Commentary: Using Clinical Decision Support Systems to Bring Predictive Models to the Glaucoma Clinic. Ophthalmol Glaucoma, 4(1), 5-9.
  9. Yang R, Plasek JM, Cummins MR, Sward KA (2020). Predicting Falls Among Community-Dwelling Older Adults: A Demonstration of Applied Machine Learning. Comput Inform Nurs, 39(5), 273-280.
  10. Alderden J, Cowan LJ, Dimas JB, Chen D, Zhang Y, Cummins M, Yap TL (2020). Risk Factors for Hospital-Acquired Pressure Injury in Surgical Critical Care Patients. Am J Crit Care, 29(6), e128-e134.
  11. Alderden J, Cummins M, Zaratkiewicz S, Lucy Zhao Y, Drake K, Yap TL (2020). Hospital-Acquired Pressure Injury Development Among Surgical Critical Care Patients Admitted With Community-Acquired Pressure Injury: A Retrospective Cohort Study. J Wound Ostomy Continence Nurs, 47(5), 470-476.
  12. McDonald A, Francis L, Crouch BI, Cummins M (2020). Legal aspects of information sharing and communication by poison centers in the United States. Clin Toxicol (Phila), 58(7), 669-675.
  13. Cummins MR, Del Fiol G, Crouch BI, Ranade-Kharkar P, Khalifa A, Iskander A, Mann D, Hoffman M, Thornton S, Allen TL, Bennett H (2019). Enabling health information exchange at a US Poison Control Center. J Am Med Inform Assoc, 27(7), 1000-1006.
  14. Tiase VL, Hull W, McFarland MM, Sward KA, Del Fiol G, Staes C, Weir C, Cummins MR (2019). Patient-generated health data and electronic health record integration: protocol for a scoping review. BMJ Open, 9(12), e033073.
  15. Tiase VL, Sward KA, Cummins MR (2019). Navigating the Search for Patient Generated Health Data. Stud Health Technol Inform, 264, 1992.
  16. Alderden J, Zhao YL, Thomas D, Butcher R, Gulliver B, Cummins M (2019). Outcomes Associated With Stage 2 Pressure Injuries Among Surgical Critical Care Patients: A Retrospective Cohort Study. Crit Care Nurse, 39(4), 13-19.
  17. Alderden J, Pepper GA, Wilson A, Whitney JD, Richardson S, Butcher R, Jo Y, Cummins MR (2018). Predicting Pressure Injury in Critical Care Patients: A Machine-Learning Model. Am J Crit Care, 27(6), 461-468.
  18. Alderden J, Zhao YL, Zhang Y, Thomas D, Butcher R, Zhang Y, Cummins MR (2018). Outcomes Associated With Stage 1 Pressure Injuries: A Retrospective Cohort Study. Am J Crit Care, 27(6), 471-476.
  19. Cummins MR, Ranade-Kharkar P, Johansen C, Bennett H, Gabriel S, Crouch BI, Del Fiol G, Hoffman M (2018). Simple Workflow Changes Enable Effective Patient Identity Matching in Poison Control. Appl Clin Inform, 9(3), 553-557.
  20. Alderden J (01/2018). Outcomes Associated with Stage 1 Pressure Injuries: A Retrospective Cohort Study.
  21. Alderden J (01/2018). Predicting Pressure Injury in Critical Care Patients: A Machine-Learning Model.
  22. Alderden J, Cummins MR, Pepper GA, Whitney JD, Zhang Y, Butcher R, Thomas D (2017). Midrange Braden Subscale Scores Are Associated With Increased Risk for Pressure Injury Development Among Critical Care Patients. J Wound Ostomy Continence Nurs, 44(5), 420-428.
  23. Cummins M R (07/2017). Cross-training the nurse scientist in data science and enomics. J Prof Nurs, 33(4), 259.
  24. Alderden J, Rondinelli J, Pepper G, Cummins M, Whitney J (2017). Risk factors for pressure injuries among critical care patients: A systematic review. Int J Nurs Stud, 71, 97-114.
  25. Khalifa A, Del Fiol G, Cummins MR (2017). Public Health Data for Individual Patient Care: Mapping Poison Control Center Data to the C-CDA Consultation Note. AMIA Annu Symp Proc, 2016, 1850-1859.
  26. Cummins M, Rajan NS, Hodge C, Gouripeddi R (2016). Patterns and Perceptions of Asynchronous Video Discussion in a Graduate Health Sciences Course. J Nurs Educ, 55(12), 706-710.
  27. Cummins MR, Gundlapalli AV, Murray P, Park HA, Lehmann CU (2016). Nursing Informatics Certification Worldwide: History, Pathway, Roles, and Motivation. Yearb Med Inform, (1), 264–271.
  28. Alderden J, Cummins M (2016). Standardized Nursing Data and the Oncology Nurse. Clin J Oncol Nurs, 20(3), 336-8.
  29. Nelson SD, Del Fiol G, Hanseler H, Crouch BI, Cummins MR (2016). Software Prototyping: A Case Report of Refining User Requirements for a Health Information Exchange Dashboard. Appl Clin Inform, 7(1), 22-32.
  30. Cummins MR, Sward K, Guo JW (2015). Leaders in Nursing Informatics Education and Research: The University of Utah Celebrates 25 Years. Comput Inform Nurs, 33(9), 379-81.
  31. Del Fiol G, Crouch BI, Cummins MR (2014). Data standards to support health information exchange between poison control centers and emergency departments. J Am Med Inform Assoc, 22(3), 519-28.
  32. Cummins MR, Crouch BI, Del Fiol G, Mateos B, Muthukutty A, Wyckoff A (2014). Information Requirements for Health Information Exchange Supported Communication between Emergency Departments and Poison Control Centers. AMIA Annu Symp Proc, 2014, 449-56.
  33. Guilherme Del Fiol (10/23/2014).
  34. Mollie Cummins (10/20/2014).
  35. Cummins MR (2014). Nursing informatics and learning health system. Comput Inform Nurs, 32(10), 471-4.
  36. Cummins MR, Crouch B, Gesteland P, Wyckoff A, Allen T, Muthukutty A, Palmer R, Peelay J, Repko K (2013). Inefficiencies and vulnerabilities of telephone-based communication between U. S. poison control centers and emergency departments. Clin Toxicol (Phila), 51(5), 435-43.
  37. Mollie R Cummins (06/01/2013).
  38. Caravati EM, Latimer S, Reblin M, Bennett HK, Cummins MR, Crouch BI, Ellington L (2012). High call volume at poison control centers: identification and implications for communication. Clin Toxicol (Phila), 50(8), 781-7.
  39. E Martin Caravati (08/13/2012).
  40. Cummins MR, Crouch BI, Gesteland P, Staggers N, Wyckoff A, Wong BG (2012). Electronic information exchange between emergency departments and poison control centers: a Delphi study. Clin Toxicol (Phila), 50(6), 503-13.
  41. Mollie R Cummins (05/22/2012).
  42. Mollie R Cummins (12/01/2011).
  43. Mollie R Cummins (09/01/2011).
  44. Mollie R Cummins (09/01/2011).
  45. Barbara Crouch (09/01/2011).
  46. Tang (07/2011).
  47. Olola CH, Narus S, Nebeker J, Poynton M, Hales J, Rowan B, LeSieur H, Zumbrennen C, Edwards AA, Crawford R, Amundsen S, Kabir Y, Atkin J, Newberry C, Young J, Hanifi T, Risenmay B, Sorensen T, Evans RS (2011). The perception of medical professionals and medical students on the usefulness of an emergency medical card and a continuity of care report in enhancing continuity of care. Int J Med Inform, 80(6), 412-20.
  48. Lee Ellington (04/01/2011).
  49. Tang (02/23/2011).
  50. Chris Olola (02/16/2011).
  51. Olola CH, Narus S, Poynton M, Nebeker J, Hales J, Rowan B, Smith M, Evans RS (2010). Patient-perceived usefulness of an emergency medical card and a continuity-of-care report in enhancing the quality of care. Int J Qual Health Care, 23(1), 60-7.
  52. Chris Olola (02/01/2011).
  53. Brinkerhoff KM, Brewster PJ, Clark EB, Jordan KC, Cummins MR, Hurdle JF (2011). Linking supermarket sales data to nutritional information: an informatics feasibility study. AMIA Annu Symp Proc, 2011, 598-606.
  54. Lee Ellington (01/01/2011).
  55. (11/02/2010).
  56. (08/01/2010).
  57. (10/01/2009).
  58. (10/01/2009).
  59. (07/01/2009).
  60. (07/01/2009).
  61. Ellington L, Sheldon LK, Matwin S, Smith JA, Poynton MM, Crouch BI, Caravati EM (2008). An examination of adherence strategies and challenges in poison control communication. J Emerg Nurs, 35(3), 186-90; quiz 274.
  62. (03/01/2009).
  63. Guo JW, Poynton M, Matney S, Ellington L, Crouch BI, Caravati EM (2009). Requirements analysis for HL7 message development in poison control center. Stud Health Technol Inform, 146, 758-9.
  64. Latimer S, Ellington L, Maxwell A, Poynton M, Caravati EM, Crouch BI, Bennett H (2009). Identifying routine surge for poison control telephone response systems. Stud Health Technol Inform, 146, 811.
  65. Olola CH, Rowan B, Narus S, Smith M, Hastings T, Poynton M, Nebeker J, Hales J, Evans RS (2009). Implementation of an emergency medical card and a continuity of care report using continuity of care standard. Methods Inf Med, 48(6), 519-30.
  66. Lee Ellington (01/2009).
  67. Eric Hall (01/2009).
  68. Eric Hall (01/2008).
  69. Heather Bennett (01/2008).
  70. Olola CH, Rowan B, Narus S, Hales J, Poynton M, Nebeker J, Evans RS (2007). Enhancing continuity of care through an emergency medical card at Intermountain Healthcare: using continuity of Care Record (CCR) standard. AMIA Annu Symp Proc, 1063.


  1. Tiase VL, Hull W, McFarland MM, Sward KA, Del Fiol G, Staes C, Weir C, Cummins MR (2020). Patient-generated health data and electronic health record integration: a scoping review. [Review]. JAMIA Open, 3(4), 619-627.

Book Chapter

  1. Cummins M (01/2019). Non-hypothesis Driven research: Data Mining and Knowledge Discovery. In Richesson, R. & Andrews, J. (Eds.), Clinical Research Informatics (2nd ed). In Springer-Verlag. Springer-Verlag.

Conference Proceedings

  1. A M Khalifa (02/2016). Public health data for iindividual patient care: Mapping poison control ceenter data to the C-CDA Consultation Note. Proceedings of the AMIA 2016 Annual Symposium, Proceedings of the AMIA 2016 Annual Symposium.
  2. Butcher Ryan (10/01/2015).
  3. Garg Nupur (10/01/2015).
  4. Mollie R Cummins (10/2015).
  5. Cummins Mollie R (01/01/2015).
  6. Mollie R Cummins (11/01/2013).
  7. Mollie R Poynton Cummins (01/06/2012).
  8. Kristina Brinkerhoff (10/01/2011).
  9. Anastasia Wyckoff (10/01/2011).
  10. (09/01/2009).
  11. (06/01/2009).


  1. Cummins MR (2017). Cross-training the Nurse Scientist in Data Science and Genomics. J Prof Nurs, 33(4), 259.


  1. Gouripeddi R (01/2018). The Utah PRISMS Informatics Ecosystem: An Infrastructure for Generating and Utilizing Exposomes for Translational Research [Abstract]. Abstract for presentation at the Total Exposure Health 2018 Conference in Bethesda, MD.
  2. Tiase V L (12/2017). Descriptive analysis of communication patterns between a local poison control center and community emergency departments [Abstract]. Proceedings of the 2017 IEEE International Conference on Healthcare Informatics.
  3. Gouripeddi R (11/2017). A conceptural representation of exposome in translational research [Abstract]. Proceedings of the AMIA Annual Symposium 2017.
  4. Cummins M R (11/2016). A low-cost, low-barrier clinical trials registry to support effective recruitment [Abstract]. Proceedings of Research Reproducibility 2016.
  5. Poynton (02/02/2011). [Abstract].
  6. (10/01/2010). [Abstract].
  7. (06/01/2009). [Abstract].
  8. (06/01/2009). [Abstract].
  9. (10/11/2007). [Abstract].


  1. Cummins MR (01/31/2022). Final report Sub-task: Identify 5-10 research questions that can be derived from a linked prescription drug monitoring program dataset. University of Utah.
  2. Ponte PR (09/2019). An Interview with Mollie Rebecca Cummins. J Nurs Adm (49(9), pp. 402-403). J Nurs Adm.
  3. Mollie R Cummins (08/2015).