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Works and Publications

Refereed Journals

Douthit, B. J., McCoy, A. B., Nelson, S. D. (2023). The Impact of Clinical Decision Support on Health Disparities and the Digital Divide. Yearbook of Medical Informatics. doi: http://dx.doi.org/10.1055/s-0043-1768722

Wieben, A., Walden, R., Alreshidi, B. G., Brown, S., Cato, K., Coviak, C., Cruz, C., D’Agostino, F., Douthit, B., . . . Jeffery, A. D. (2023). Data Science Implementation Trends in Nursing Practice: A Review of the 2021 Literature. Applied Clinical Informatics. doi: 10.1055/a-2088-2893

Griffin, A. C., He, L., Sunjaya, A. P., King, A. J., Khan, Z., Nwadiugwu, M., Douthit, B., Subbian, V., Nguyen, V., Braunstein, M., Jaffe, C., Schleyer, T. (2022). Clinical, technical, and implementation characteristics of real-world health applications using FHIR. JAMIA Open, 5(4):1-7. doi: 10.1093/jamiaopen/ooac077

Douthit, B. J., Walden, R. L., Cato, K., . . . Jeffery, A. D. (2022). Data Science Trends Relevant to Nursing Practice: A Rapid Review of the 2020 Literature. Applied Clinical Informatics, 13:161-179. doi: 10.1055/s-0041-1742218.

Richesson, R. L., Marsolo, K. S., Douthit, B. J., . . . Del Fiol, G. (2021). Enhancing the Use of EHR Systems for Pragmatic Embedded Research: Recommendations from the NIH Health Care Systems Research Collaboratory. Journal of the American Medcial Informatics Association. doi: 10.1093/jamia/ocab202.

Douthit, B. J., Del Fiol, G., Staes, C. J., Docherty, S. L., Richesson, R. L. (2020). A Conceptual Framework of Data Readiness: The Contextual Intersection of Quality, Availability, Interoperability, and Provenance. Applied Clinical Informatics, 12(3): 675-685. doi: 10.1055/s-0041-1732423. PMID: 34289504. PMCID: PMC8294946.

Douthit, B. J., Staes, C. J., Del Fiol, G., Richesson, R. L. (2021). A Thematic Analysis to Examine the Feasibility of EHR-based Clinical Decision Support for Implementing Choosing Wisely® Guidelines. JAMIA Open, 4(2): 1-9. doi: 10.1093/jamiaopen/ooab03. PMID: 34142016. PMCID: PMC8206400.

Schultz, M. A., Walden, R. L., Cato, K., Coviak, C. P., Cruz, C., D’Agostino, F., Douthit, B. J., … Jeffery, A. D. (2021). Data Science Methods for Nursing-Relevant Patient Outcomes and Clinical Processes: The 2019 Literature Year in Review. Computers Informatics Nursing. doi: 10.1097/CIN.0000000000000705. PMID: 34747890. PMCID: PMC8578863.

Douthit, B. J. (2021). The Influence of the Learning Health System to Address the COVID‐19 Pandemic: An Examination of Early Literature. The International Journal of Health Planning and Management, 36(2):244-251.  doi: 10.1002/hpm.3088 PMID: 33103264

Douthit, B. J., Richesson, R. (2021). Applied Interdisciplinary Theory in Health Informatics: A Book Review. Computers Informatics Nursing, 39(1):7-8. doi: 10.1097/CIN.0000000000000703. PMID: 33417314

Cary, M. P., Zhuag, F., Draelos, R. L., Pan, W., Amarasekara, S., Douthit, B. J., Kang, Y., Colón-Emeric, C. S. (2021). Machine Learning Algorithms to Predict Mortality and Allocate Palliative Care for Older Patients with Hip Fracture. Journal of the American Medical Directors Association, 22(2):291-296. doi: 10.1016/j.jamda.2020.09.025. PMID: 33132014. PMCID: PMC7867606.

Douthit, B. J., Musser, C., Lytle, K. S., Richesson, R. (2020). A Closer Look at the “Right” Format for Clinical Decision Support: Methods for Evaluating a Storyboard BestPractice Advisory. Journal of Personalized Medicine, 10(4):E142. doi:10.3390/jpm10040142. PMID: 32977564

Douthit, B. J., Hu, X., Richesson, R.,  Kim, H., Cary, M. P.  (2020). How artificial intelligence is transforming the future of nursing. American Nurse Today, 15(9): 100-102. URL: https://www.myamericannurse.com/how-artificial-intelligence-is-transforming-the-future-of-nursing/

Richesson, R. L., Staes, C. J., Douthit, B. J., Thoureen, T., Hatch, D. J., Kawamoto, K., Del Fiol, G. (2020). Measuring implementation feasibility of clinical decision support alerts for clinical practice recommentations. Journal of the American Medcial Informatics Association, 27(4): 514-521. doi: 10.1093/jamia/ocz225. PMID: 32027357

Cameron, B., Douthit, B., Richesson, R. (2018). Data and knowledge standards for learning health: A population management example using chronic kidney disease. Learning Health Systems, 2(4): e10064. doi: 10.1002/lrh2.10064. PMID: 31245588

Warner, M. A., Welsby, I. J., Norris, P. J., Silliman, C. C., Armour, S., Wittwer, E. D., . . . Kor, D. J. (2017). Point-of-care washing of allogeneic red blood cells for the prevention of transfusion-related respiratory complications (WAR-PRC): a protocol for a multicenter randomised clinical trial in patients undergoing cardiac surgery. BMJ Open, 7(8). doi:10.1136/bmjopen-2017-016398. PMID: 28821525

Conference Manuscripts

Douthit, B., Richesson, R. (2018). Emergency department clinician perspectives on the data availability to implement clinical decision support tools for five clinical practice guidelines. AMIA Jt Summits Transl Sci Proc. 2018; 2018: 340–348. San Francisco, California. March 12-15, 2018. PMCID: PMC5961800. PMID: 29888092

On-line Exclusive Articles

Douthit, B. J., Cary, M. P., Lytle, K., Shaw, R., Richesson, R. (2022). Artificial Intelligence in Nursing: Practical Implementation in Clinical Settings. American Nurse Today. URL: https://www.myamericannurse.com/ai-artificial-intelligence-in-nursing/

Posters (Peer-Reviewed)

Douthit, B. J., Ivory, C., Withall, J., Hobensack, M., Bokhari, S. M. A., Dykes, P. C., McCoy, M. B., Cato, K. D., Rosetti, S. C.. (March, 2024). Development of an Adaptable Cost-Analysis Tool to Support the Implementation of the CONCERN Early Warning System. 2024 American Medical Informatics Association (AMIA) Summit. Boston, MA.

Douthit, B. J., Jeffery, A. D., Reese, T. J., Matheny, M. E. (November, 2023). Successful Transitions to Stable Housing for Veterans Experiencing Homelessness: Does Spending Translate to Better Outcomes? 2023 American Medical Informatics Association Annual Symposium. New Orleans, LA.

Reese, T. J., Domenico, H., Hernandez, A., Byrne, D. W., Russo, E., Douthit, B. J., Williams, J., Moore, S., McCoy, A. B., Wright, A (November, 2023). Implementable Prediction for Hospital-Acquired Pressure Injuries. 2023 American Medical Informatics Association Annual Symposium. New Orleans, LA.

Douthit, B. J., Sengstack, P., Ivory, C., Reese, T. J., Wright, A., McCoy, A. B. (May, 2023). Preventing Falls: Assessing Nursing Documentation Patterns and Outcomes. 2023 American Medical Informatics Association Clinical Informatics Conference. Chicago, IL.

Weiben, A., Alreshidi, B., Douthit, B. J., Sileo, M., Vyas, P., Steege, L., Gilmore-Bykovski, A. (March, 2023). Nurses’ Perceptions of Machine Learning Clinical Decision Support: A Descriptive Qualitative Study. Midwest Nursing Research Society 47th Annual Research Conference. Des Moines, Iowa.

Liu, S., Wright, A., Schlesinger, J. J., Reese, T. J., Qian, E., Russo, E., Semler, M. W., Douthit, B. J.,  McCoy, A. B. (November, 2022). A Theory-based Evaluation of a Clinical Decision Support System to Predict New Onset of Delirium. 2022 American Medical Informatics Association Symposium. Washington, D.C.

Douthit, B. J., Bashaw, K., Gerant, K., Reese, T. J., Wright, A., McCoy, A. (November, 2022). Quality Versus Quantity: Assessing the Impact of Nursing Documentation on Preventing Hospital Acquired Pressure Injuries. 2022 American Medical Informatics Association Symposium. Washington, D.C.

Douthit, B.J., Del Fiol, G., Schleyer, T., Richesson, R. L. (June, 2022). Quantifying the Use of HL7® FHIR® to Promote Healthcare App Interoperability. 2022 National Library of Medicine (NLM) T15 Training Conference. Buffalo, NY.

Douthit, B. J., Del Fiol, G., Canon. C., Branski, J., Schleyer, T., Richesson, R. L. (November, 2021). Assessing the Use of FHIR Among Healthcare Apps. 2021 American Medical Informatics Association Symposium. San Diego, CA.

Kang, Y., Zhuang, F., Douthit, B. J., Cary, M. P. (June, 2020). Predicting mortality among older adult hip fracture patients following discharge from inpatient rehabilitation: A machine learning approach. AcademyHealth 2020 Annual Research Meeting. Boston, MA.

Kang, Y., Zhuang, F., Douthit, B. J., Cary, M. P. (February, 2020). Predicting 30-day mortality risk and informing end of life care for geriatric hip fracture patients using machine learning algorithms. The University of South Carolina Big Data Health Sciences Conference. Columbia, SC.

Panels (Peer-Reviewed)

Rosetti, S., Withall, J., Douthit, B., Ivory, C., Yen, P, Cato, K. (May 2024). The CONCERN Study: Stages of an Interdisciplinary AI Enabled and Applied Clinical Informatics Intervention Study. 2024 American Medical Informatics Association Clinical Informatics Conference. Minneapolis, MN.

Douthit, B. (October, 2019). Participant Panel on Technical Issues in CDS. A systematic approach for integrating the Palliative Care Planner app into electronic health records. 2019 Annual Patient-Centered Clinical Decision Support (PCCDS) Conference. Washington, D.C.

Podium Abstracts (Peer-Reviewed)

Levy, D. R., Withall, J. B., Mishuris, R. G., Tiase, V., Douthit, B., Sengstack, P., Cato, K., Rosettie, S. C.. (May, 2022). Utilizing a User-centered Approach to Develop Explainable Machine Learning-based CDS Tool to Predict New Onset of Delirium. American Medical Informatics Association 2022 Clinical Informatics Conference. Houston, TX.

 

Wieben, A., Alreshidi, B., Douthit, B., Pankaj, V., Sileo, M, Steegy, L., Gilmore-Bykovskyi, A.. (February, 2024). Florence and the Machine: A Descriptive Qualitative Study of Nurses’ Needs, Goals and Preferences for Machine Learning-Driven Decision Support. Midwest Nursing Research Society (MNRS) 2024 Annual Research Conference. Minneapolis, MN.

Liu, S., Schlesinger, J. J., Reese, T. J., McCoy, A. B., Douthit, B. J., Wright, A. (May, 2022). Utilizing a User-centered Approach to Develop Explainable Machine Learning-based CDS Tool to Predict New Onset of Delirium. American Medical Informatics Association 2022 Clinical Informatics Conference. Houston, TX.

Douthit, B. J., Staes, C. J., Del Fiol, G., Richesson, R. L. (March, 2020). Examining the Feasibility of EHR-based Clinical Decision Support for Implementing Choosing Wisely® Guidelines: A Thematic Analysis. American Medical Informatics Association 2020 Informatics eSummit. Online.

Zhuang, F., Kang, Y., Douthit, B. J., Cary, M. P. (February, 2020). Evaluating and comparing machine learning algorithms in predicting 30-day and 1-year mortality risk among geriatric hip fracture patients. The University of South Carolina Big Data Health Sciences Conference. Columbia, SC.

Book Chapters

Douthit, B., Richesson, R.L. (2023). Apps in Clinical Research. In: Richesson, R.L., Andrews, J.E., Fultz Hollis, K. (eds.) Clinical Research Informatics. Health Informatics. Springer, Cham. https://doi.org/10.1007/978-3-031-27173-1_24. ISBN 978-3-031-27172-4.

Douthit, B. J., Richesson, R., Marsolo, K., et al. (May, 2020). Real World Evidence: Clinical Decision Support. Rethinking Clinical Trials: A Living Textbook of Pragmatic Clinical Trials. Bethesda, MD: NIH Health Care Systems Research Collaboratory. Available at: https://rethinkingclinicaltrials.org/chapters/conduct/real-world-evidence-clinical-decision-support/clinical-decision-support-introduction/. Updated May 29, 2020. DOI: 10.28929/121.

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