Mollie R. Cummins

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

Languages spoken: French, English

Academic Information

Departments Adjunct - Biomedical Informatics


Mollie R. Cummins, PhD, RN, FAAN, FACMI is a Professor of Nursing and Adjunct Professor of Biomedical Informatics at the University of Utah, and Jon M. Huntsman Presidential Chair. 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. A faculty member at University of Utah since 2004, her early career focused on the application of artificial intelligence and machine learning methods in health care. Over time, her research has grown to encompass diverse methods and topics in nursing and biomedical informatics research. Currently, she focuses on research informatics, exposure health informatics, applied data science and telemedicine. She leads an NIEHS funded R24 focused on augmenting University of Utah's Exposure Health Informatics Ecosystem with sensor metadata, and serves as site PI for PCORnet RECOVER EHR, a multi-site NHLBI funded study focused on digital phenotyping of PASC (post-acute sequelae of SARS-CoV-2). She has led multiple national studies of telemedicine trends and outcomes, based upon large-scale analysis of industry data and electronic health record (EHR) data.

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

Undergraduate University of Illinois
Undergraduate University of Illinois at Chicago
 BSN
Graduate Training Northern Kentucky University
 MSN
Graduate Training Indiana University
 PHD

Selected Publications

Journal Article

  1. Alderden J, Zhao YL, Zhang Y, Thomas D, Butcher R, Zhang Y, Cummins M (2018). Outcomes Associated With Stage 1 Pressure Injuries: A Retrospective Cohort Study. American journal of critical care, 27(6), 471-476.
  2. Alderden J, Pepper GA, Wilson A, Whitney JD, Richardson S, Butcher R, Jo Y, Cummins M (2018). Predicting Pressure Injury in Critical Care Patients: A Machine-Learning Model. American journal of critical care, 27(6), 461-468.
  3. Alderden J, Cowan LJ, Dimas JB, Chen D, Zhang Y, Cummins M, Yap T (2020). Risk Factors for Hospital-Acquired Pressure Injury in Surgical Critical Care Patients. American journal of critical care, 29(6), e128-e134.
  4. Alderden J, Cummins MR, Pepper GA, Whitney JD, Zhang Y, Butcher R, Thomas (2017). Midrange Braden Subscale Scores Are Associated With Increased Risk for Pressure Injury Development Among Critical Care Patients. Journal of wound, ostomy, and continence nursing, 44(5), 420-428.
  5. Alderden J, Cummins M, Zaratkiewicz S, 'Lucy' Zhao Y, Drake K, Yap T (2020). Hospital-Acquired Pressure Injury Development Among Surgical Critical Care Patients Admitted With Community-Acquired Pressure Injury: A Retrospective Cohort Study. Journal of wound, ostomy, and continence nursing, 47(5), 470-476.
  6. Alderden J, Zhao YL, Thomas D, Butcher R, Gulliver B, Cummins (2019). Outcomes Associated With Stage 2 Pressure Injuries Among Surgical Critical Care Patients: A Retrospective Cohort Study. Critical care nurse, 39(4), 13-19.
  7. Alderden J, Rondinelli J, Pepper G, Cummins M, Whitney (2017). Risk factors for pressure injuries among critical care patients: A systematic review. International journal of nursing studies, 71, 97-114.
  8. Ellington L, Sheldon LK, Matwin S, Smith JA, Poynton MM, Crouch BI, Caravati E (2009). An examination of adherence strategies and challenges in poison control communication. Journal of emergency nursing, 35(3), 186-90; quiz 274.
  9. Olola CH, Rowan B, Narus S, Smith M, Hastings T, Poynton M, Nebeker J, Hales J, Evans R (2009). Implementation of an emergency medical card and a continuity of care report using continuity of care standard. Methods of information in medicine, 48(6), 519-30.
  10. Olola CH, Narus S, Poynton M, Nebeker J, Hales J, Rowan B, Smith M, Evans R (2011). Patient-perceived usefulness of an emergency medical card and a continuity-of-care report in enhancing the quality of care. International journal for quality in health care, 23(1), 60-7.
  11. Cummins MR, Del Fiol G, Crouch BI, Ranade-Kharkar P, Khalifa A, Iskander A, Mann D, Hoffman M, Thornton S, Allen TL, Bennett (2020). Enabling health information exchange at a US Poison Control Center. Journal of the American Medical Informatics Association, 27(7), 1000-1006.
  12. Del Fiol G, Crouch BI, Cummins M (2015). Data standards to support health information exchange between poison control centers and emergency departments. Journal of the American Medical Informatics Association, 22(3), 519-28.
  13. 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 R (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. International journal of medical informatics, 80(6), 412-20.
  14. Alderden J, Cummins (2016). Standardized Nursing Data and the Oncology Nurse. Clinical journal of oncology nursing, 20(3), 336-8.
  15. Tiase VL, Sward KA, Cummins M (2019). Navigating the Search for Patient Generated Health Data. Studies in health technology and informatics, 264, 1992.
  16. Latimer S, Ellington L, Maxwell A, Poynton M, Caravati EM, Crouch BI, Bennett (2009). Identifying routine surge for poison control telephone response systems. Studies in health technology and informatics, 146, 811.
  17. Guo JW, Poynton M, Matney S, Ellington L, Crouch BI, Caravati E (2009). Requirements analysis for HL7 message development in poison control center. Studies in health technology and informatics, 146, 758-9.
  18. Alderden J, Drake KP, Wilson A, Dimas J, Cummins MR, Yap T (2021). Hospital acquired pressure injury prediction in surgical critical care patients. BMC medical informatics and decision making, 21(1), 12.
  19. Yang R, Plasek JM, Cummins MR, Sward K (2020). Predicting Falls Among Community-Dwelling Older Adults: A Demonstration of Applied Machine Learning. Computers, informatics, nursing, 39(5), 273-280.
  20. Cummins MR, Sward K, Guo J (2015). Leaders in Nursing Informatics Education and Research: The University of Utah Celebrates 25 Years. Computers, informatics, nursing, 33(9), 379-81.
  21. Khalifa A, Del Fiol G, Cummins M (2017). Public Health Data for Individual Patient Care: Mapping Poison Control Center Data to the C-CDA Consultation Note. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016, 1850-1859.
  22. Cummins MR, Crouch BI, Del Fiol G, Mateos B, Muthukutty A, Wyckoff (2014). Information Requirements for Health Information Exchange Supported Communication between Emergency Departments and Poison Control Centers. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014, 449-56.
  23. Brinkerhoff KM, Brewster PJ, Clark EB, Jordan KC, Cummins MR, Hurdle J (2011). Linking supermarket sales data to nutritional information: an informatics feasibility study. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2011, 598-606.
  24. Olola CH, Rowan B, Narus S, Hales J, Poynton M, Nebeker J, Evans R (2007). Enhancing continuity of care through an emergency medical card at Intermountain Healthcare: using continuity of Care Record (CCR) standard. AMIA ... Annual Symposium proceedings. AMIA Symposium, 1063.
  25. Cummins MR, Crouch B, Gesteland P, Wyckoff A, Allen T, Muthukutty A, Palmer R, Peelay J, Repko (2013). Inefficiencies and vulnerabilities of telephone-based communication between U. S. poison control centers and emergency departments. Clinical toxicology (Philadelphia, Pa.), 51(5), 435-43.
  26. Caravati EM, Latimer S, Reblin M, Bennett HK, Cummins MR, Crouch BI, Ellington (2012). High call volume at poison control centers: identification and implications for communication. Clinical toxicology (Philadelphia, Pa.), 50(8), 781-7.
  27. Cummins MR, Crouch BI, Gesteland P, Staggers N, Wyckoff A, Wong B (2012). Electronic information exchange between emergency departments and poison control centers: a Delphi study. Clinical toxicology (Philadelphia, Pa.), 50(6), 503-13.
  28. McDonald A, Francis L, Crouch BI, Cummins (2020). Legal aspects of information sharing and communication by poison centers in the United States. Clinical toxicology (Philadelphia, Pa.), 58(7), 669-675.
  29. Cummins MR, Gundlapalli AV, Murray P, Park HA, Lehmann C (2016). Nursing Informatics Certification Worldwide: History, Pathway, Roles, and Motivation. Yearbook of medical informatics, (1), 264¿271.
  30. Cummins MR, Ranade-Kharkar P, Johansen C, Bennett H, Gabriel S, Crouch BI, Del Fiol G, Hoffman (2018). Simple Workflow Changes Enable Effective Patient Identity Matching in Poison Control. Applied clinical informatics, 9(3), 553-557.
  31. Nelson SD, Del Fiol G, Hanseler H, Crouch BI, Cummins M (2016). Software Prototyping: A Case Report of Refining User Requirements for a Health Information Exchange Dashboard. Applied clinical informatics, 7(1), 22-32.
  32. Tiase VL, Hull W, McFarland MM, Sward KA, Del Fiol G, Staes C, Weir C, Cummins M (2019). Patient-generated health data and electronic health record integration: protocol for a scoping review. BMJ open, 9(12), e033073.
  33. Stagg B, Stein JD, Medeiros FA, Cummins M, Kawamoto K, Hess (2021). Interests and needs of eye care providers in clinical decision support for glaucoma. BMJ open ophthalmology, 6(1), e000639.
  34. 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.
  35. Stagg BC, Stein JD, Medeiros FA, Wirostko B, Crandall A, Hartnett ME, Cummins M, Morris A, Hess R, Kawamoto (2021). Special Commentary: Using Clinical Decision Support Systems to Bring Predictive Models to the Glaucoma Clinic. Ophthalmology. Glaucoma, 4(1), 5-9.
  36. 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.
  37. Pittman P, Rambur B, Birch S, Chan GK, Cooke C, Cummins M, Leners C, Low LK, Meadows-Oliver M, Shattell M, Taylor C, Trautman (2021). Value-Based Payment: What Does It Mean for Nurses?. Nursing administration quarterly, 45(3), 179-186.
  38. Cummins M, Kennedy R, McBride S, Carrington (2021). Policy Priorities in Nursing Informatics: The American Academy of Nursing Informatics and Technology Expert Panel in 2020. Computers, informatics, nursing, 39(3), 120-122.
  39. Cummins M, Rajan NS, Hodge C, Gouripeddi (2016). Patterns and Perceptions of Asynchronous Video Discussion in a Graduate Health Sciences Course. The Journal of nursing education, 55(12), 706-710.
  40. Cummins M (2014). Nursing informatics and learning health system. Computers, informatics, nursing, 32(10), 471-4.
  41. Mollie Cummin (2014).
  42. Alderden, J (2018). Predicting Pressure Injury in Critical Care Patients: A Machine-Learning Model.
  43. Eric Hal (2008).
  44. Heather Bennet (2008).
  45. Lee Ellingto (2011).
  46. E. Martin Caravat (2012).
  47. Barbara Crouc (2011).
  48. (2009).
  49. Cummins, M. R (2017). Cross-training the nurse scientist in data science and enomics. Journal of professional nursing, 33(4), 259.
  50. Mollie R. Cummin (2011).
  51. Lee Ellingto (2009).
  52. Mollie R. Cummin (2011).
  53. (2010).
  54. (2010).
  55. (2009).
  56. Mollie R. Cummin (2011).
  57. (2009).
  58. (2009).
  59. Mollie R. Cummin (2012).
  60. (2009).
  61. Eric Hal (2009).
  62. Chris Olol (2011).
  63. Mollie R. Cummin (2013).
  64. Lee Ellingto (2011).
  65. Chris Olol (2011).
  66. Alderden, J (2018). Outcomes Associated with Stage 1 Pressure Injuries: A Retrospective Cohort Study.
  67. Guilherme Del Fio (2014).
  68. Tan (2011).
  69. Cummins, M.R (2022). Research outcomes of linked prescription drug monitoring program data: A scoping review protocol. BMJ open,
  70. Tan (2011).
  71. Cummins MR, Tsalatsanis A, Chaphalkar C, Ivanova J, Ong T, Soni H, Barrera JF, Wilczewski H, Welch BM, Bunnell B (2024). Telemedicine appointments are more likely to be completed than in-person healthcare appointments: a retrospective cohort study. JAMIA open, 7(3), ooae059.
  72. Lorman V, Bailey LC, Song X, Rao S, Hornig M, Utidjian L, Razzaghi H, Mejias A, Leikauf JE, Brill SB, Allen A, Bunnell HT, Reedy C, Mosa ASM, Horne BD, Geary CR, Chuang CH, Williams DA, Christakis DA, Chrischilles EA, Mendonca EA, Cowell LG, McCorkell L, Liu M, Cummins MR, Jhaveri R, Blecker S, Forrest C (2024). Pediatric Long COVID Subphenotypes: An EHR-based study from the RECOVER program.
  73. Soni H, Ivanova J, Wilczewski H, Ong T, Ross JN, Bailey A, Cummins M, Barrera J, Bunnell B, Welch (2024). User Preferences and Needs for Health Data Collection Using Research Electronic Data Capture: Survey Study. JMIR medical informatics, 12, e49785.
  74. Cummins MR, Shishupal S, Wong B, Wan N, Han J, Johnny JD, Mhatre-Owens A, Gouripeddi R, Ivanova J, Ong T, Soni H, Barrera J, Wilczewski H, Welch BM, Bunnell B (2024). Travel Distance Between Participants in US Telemedicine Sessions With Estimates of Emissions Savings: Observational Study. Journal of medical Internet research, 26, e53437.
  75. Christensen SS, Wilson BL, Cummins MR, Eaton J, Iacob E, Hansen S (2024). Exploring nurses' emotional reactions to and reporting of patient-on-nurse workplace violence: A mixed-methods study. International journal of nursing studies, 153, 104724.
  76. Razzaghi H, Forrest CB, Hirabayashi K, Wu Q, Allen AJ, Rao S, Chen Y, Bunnell HT, Chrischilles EA, Cowell LG, Cummins MR, Hanauer DA, Higginbotham M, Horne BD, Horowitz CR, Jhaveri R, Kim S, Mishkin A, Muszynski JA, Naggie S, Pajor NM, Paranjape A, Schwenk HT, Sills MR, Tedla YG, Williams DA, Bailey LC, RECOVER CONSORTIU (2024). Vaccine Effectiveness Against Long COVID in Children. Pediatrics, 153(4),
  77. Wilczewski H, Ong T, Ivanova J, Soni H, Barrera JF, Cummins MR, Welch BM, Bunnell B (2024). Telemedicine from Home or the Office: Perceptions of Mental Health Providers. Telemedicine journal and e-health, 30(2), 422-429.
  78. Ong T, Ivanova J, Soni H, Wilczewski H, Barrera J, Cummins M, Welch BM, Bunnell B (2024). Therapist perspectives on telehealth-based virtual reality exposure therapy. Virtual reality, 28(2),
  79. Ong T, Barrera JF, Sunkara C, Soni H, Ivanova J, Cummins MR, Schuler KR, Wilczewski H, Welch BM, Bunnell B (2024). Mental health providers are inexperienced but interested in telehealth-based virtual reality therapy: survey study. Frontiers in virtual reality, 5,
  80. Cummins MR, Burr J, Young L, Yeatts SD, Ecklund DJ, Bunnell BE, Dwyer JP, VanBuren J (2023). Decentralized research technology use in multicenter clinical research studies based at U.S. academic research centers. Journal of clinical and translational science, 7(1), e250.
  81. Chan GK, Cummins MR, Taylor CS, Rambur B, Auerbach DI, Meadows-Oliver M, Cooke C, Turek EA, Pittman P (2023). An overview and policy implications of national nurse identifier systems: A call for unity and integration. Nursing outlook, 71(2), 101892.
  82. 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.
  83. Cummins MR,Tsalatsanis A,Chaphalkar C,Ivanova J,Ong T,Soni H,Barrera JF,Wilczewski H,Welch BM,Bunnell B (2024). Telemedicine appointments are more likely to be completed than in-person healthcare appointments: A retrospective cohort study. JAMIA open, 7(3),
  84. Ong T,Ivanova J,Soni H,Wilczewski H,Barrera J,Cummins M,Welch BM,Bunnell B (2024). Therapist perspectives on telehealth-based virtual reality exposure therapy. Virtual reality, 28(2),
  85. Cummins MR,Ivanova J,Ong T,Soni H,Barrera JF,Wilczewski H,Welch BM,Bunnell B (2024). Will the United States pass on telemedicine progress?. JAMIA open, 7(1),
  86. Ong T,Barrera JF,Sunkara C,Soni H,Ivanova J,Cummins MR,Schuler KR,Wilczewski H,Welch BM,Bunnell B (2024). Mental health providers are inexperienced but interested in telehealth-based virtual reality therapy: survey study. Frontiers in virtual reality, 5,
  87. Soni H,Ivanova J,Wilczewski H,Ong T,Ross JN,Bailey A,Cummins M,Barrera J,Bunnell B,Welch (2024). User Preferences and Needs for Health Data Collection Using Research Electronic Data Capture: Survey Study. JMIR medical informatics, 12,
  88. Cummins MR,Burr J,Young L,Yeatts SD,Ecklund DJ,Bunnell BE,Dwyer JP,Vanburen J (2023). Decentralized research technology use in multicenter clinical research studies based at U.S. academic research centers. Journal of clinical and translational science, 7(1),
  89. Cummins MR,Ong T,Ivanova J,Barrera JF,Wilczewski H,Soni H,Welch BM,Bunnell B (2023). Consensus Guidelines for Teledermatology: Scoping Review. JMIR dermatology, 6,
  90. 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),
  91. Caravati E,Latimer S,Reblin M,Bennett H,Cummins M,Crouch B,Ellington (2012). Erratum: High call volume at poison control centers: Indentifi cation and implications for communication ( Clinical Toxicology (2012) 50:8 (781-187)). Clinical toxicology (Philadelphia, Pa.), 50(9), 867.
  92. Tang H,Hurdle JF,Poynton M,Hunter C,Tu M,Baird BC,Krikov S,Goldfarb-Rumyantzev A (2011). Validating prediction models of kidney transplant outcome using single center data. ASAIO journal (American Society for Artificial Internal Organs, 57(3), 206-212.
  93. Poynton MR,Choi BM,Kim YM,Park IS,Noh GJ,Hong SO,Boo YK,Kang S (2009). Machine learning methods applied to pharmacokinetic modelling of remifentanil in healthy volunteers: A multi-method comparison. The Journal of international medical research, 37(6), 1680-1691.
  94. Tang H,Poynton MR,Hurdle JF,Baird BC,Koford JK,Goldfarb-Rumyantzev A (2011). Predicting three-year kidney graft survival in recipients with systemic lupus erythematosus. ASAIO journal (American Society for Artificial Internal Organs, 57(4), 300-309.
  95. Ellington L,Rebecca Poynton M,Reblin M,Latimer S,Bennett H,Crouch B,Caravati (2011). Communication patterns for the most serious poison center calls. Clinical toxicology (Philadelphia, Pa.), 49(4), 316-323.
  96. Varma JK,Zang C,Carton TW,Block JP,Khullar DJ,Zhang Y,Weiner MG,Rothman RL,Schenck EJ,Xu Z,Lyman K,Bian J,Xu J,Shenkman EA,Maughan C,Castro-Baucom L,O'Brien L,Wang F,Kaushal R,Mirhaji P,Jhaveri R,Forrest C,Morizono H,Pajor N,Sengupta S,Jones S,Horne BD,Carton TW,Taylor B,Lenert L,Mosa A,Horowitz C,Kelleher K,Bunnell HT,Liebovitz D,Blecker S,Sills M,Fort D,Hogan W,Oxner A,Kamaleswaran R,Tsinoremas N,Salyakina D,Chuang C,Christakis D,Paranjape A,Fernandez S,Kim S,Chrischilles E,Williams D,Geary C,Srinivasan S,Bechich M,Cummins M,Cowell L,Tedla Y,Downs S,Khaitan A,Schroeder A,Rao S,Fuloria J,Block J (2024). Excess burden of respiratory and abdominal conditions following COVID-19 infections during the ancestral and Delta variant periods in the United States: An EHR-based cohort study from the RECOVER program. PloS one, 19(6 June),

Review

  1. 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.
  2. Cummins MR, Ivanova J, Ong T, Soni H, Barrera JF, Wilczewski H, Welch BM, Bunnell B (2024). Will the United States pass on telemedicine progress?. JAMIA open, 7(1), ooae016.
  3. Cummins MR, Soni H, Ivanova J, Ong T, Barrera J, Wilczewski H, Welch B, Bunnell B (2024). Narrative review of telemedicine applications in decentralized research. Journal of clinical and translational science, 8(1), e30.
  4. Cummins MR, Ong T, Ivanova J, Barrera JF, Wilczewski H, Soni H, Welch BM, Bunnell B (2023). Consensus Guidelines for Teledermatology: Scoping Review. JMIR dermatology, 6, e46121.
  5. Cummins MR,Soni H,Ivanova J,Ong T,Barrera J,Wilczewski H,Welch B,Bunnell B (2024). Narrative review of telemedicine applications in decentralized research. Journal of clinical and translational science, 8(1),
  6. 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.

Book Chapter

  1. Cummins, M (2019). Non-hypothesis Driven research: Data Mining and Knowledge Discovery. In Richesson, R. & Andrews, J. (Eds.), Clinical Research Informatics (2nd ed).
  2. Gouripeddi R,Lundrigan P,Kasera S,Collingwood S,Cummins M,Facelli JC,Sward (2020). Exposure Health Informatics Ecosystem. Total Exposure Health: An Introduction, 233-278.

Conference Proceedings

  1. Mollie R. Cummin (2013).
  2. Cummins, Mollie R (2015).
  3. (2009).
  4. Mollie R. Poynton (Cummins (2012).
  5. A. M. Khalif (2016). Public health data for iindividual patient care: Mapping poison control ceenter data to the C-CDA Consultation Note.
  6. Butcher, Rya (2015).
  7. Anastasia Wyckof (2011).
  8. Kristina Brinkerhof (2011).
  9. Garg, Nupu (2015).
  10. (2009).
  11. Mollie R. Cummin (2015).
  12. Tiase VL,Crouch B,Bennett H,Weng C,Yang R,Cummins M (2017). Descriptive Analysis of Communication Patterns between a Local Poison Control Center and Community Emergency Departments. Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017, 574.
  13. Guo J,Bennett H,Crouch B,Cummins (2017). Reference Website Use Patterns of Poison Control Center Specialists. Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017, 453.
  14. Cummins MR,Crouch BI,Gesteland (2012). Building a knowledge base for health information exchange between emergency departments and poison control centers. Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences, 910-914.
  15. Yang R,Wei W,Cummins M (2017). Application of Cognitive Load Theory to the Design and Evaluation of Usability Study of mHealth Applications: Opportunities and Challenges. Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017, 572.

Editorial

  1. Cummins M (2017). Cross-training the Nurse Scientist in Data Science and Genomics. Journal of professional nursing, 33(4), 259.

Abstract

  1. Tiase, V. L (2017). Descriptive analysis of communication patterns between a local poison control center and community emergency departments.
  2. Gouripeddi, R (2017). A conceptural representation of exposome in translational research.
  3. (2009).
  4. Poynto (2011).
  5. (2007).
  6. Gouripeddi, R (2018). The Utah PRISMS Informatics Ecosystem: An Infrastructure for Generating and Utilizing Exposomes for Translational Research.
  7. (2009).
  8. (2010).
  9. Cummins, M. R (2016). A low-cost, low-barrier clinical trials registry to support effective recruitment.

Other

  1. Cummins, M.R (2022). Final report Sub-task: Identify 5-10 research questions that can be derived from a linked prescription drug monitoring program dataset.
  2. Ponte, P.R (2019). An Interview with Mollie Rebecca Cummins. 49(9), 402-403.
  3. Mollie R. Cummin (2015).