Faculty

PhD Prepared Faculty

John Robert Bautista

PhD, MPH, RN

  • Assistant Professor
  • MizzouForward Faculty

Faculty Mentoring Status / Research & Teaching Emphasis Areas

Dr. John Robert Bautista

Dr. John Robert Bautista uses a socio-technical strategy to understand the role and impact of technologies (smartphones, social media, blockchain, and artificial intelligence) among health professionals and consumers. As an interdisciplinary researcher, he utilizes concepts from communication, information, psychological, and organizational sciences to understand the use of health information technology based on qualitative and quantitative data.

  • Big Idea Initiative: A New Measurement Science for the Evaluation of AI Systems- MU CAS Internal Grant, Davis-Strober, C. (PI), Bautista, J.R. (Collaborator), 1/2026-12/2026
  • Article Inclusion in NIWG Year in Review, Nursing Informatics Work Group, American Medical Informatics Association, 2025
  • Fellow of the American Medical Informatics Association (FAMIA), 2026
  • Global Top 2% Scientist (Medical Informatics), Stanford University & Elsevier, 2025
  • MU Learning and Expanding Abilities for Professoriate (LEAP) Fellow, MU Provost Office, University of Missouri, Columbia, 2025-2027
  • Early Career Research Award, Midwest Nursing Research Society, Health Systems, Policy, & Informatics Research Implementation & Interest Group, 2025
  • TAS Hub and Good Systems Strategic Partnership – Seminar on Responsible Research and Innovation (RRI) to Promote Responsible Artificial Intelligence (RAI) at the University of Missouri-Columbia – University of Nottingham, UK, (Webb, H. [PI], Bautista, J.R., [Site PI]), 2024-2025
  • SEC Visiting Faculty Travel Award, MU Provost Office, 2024
  • MizzouForward Faculty, University of Missouri-Columbia, 2024
  • Provost’s Early Career Fellow, University of Texas at Austin, 2023
  • MACAIF: Machine Learning Auditing for Clinical AI Fairness (Co-I, PI: Hector Menendez). GBP 18,149. Funded by Trustworthy Autonomous Systems Hub (TAS Hub UK) and UT Good Systems. 2023-2024.
  • TAME Pain: Trustworthy AssessMEnt of Pain – Listening Between the Lines (Co-I, PI: Jennifer Williams). GBP 18,149. Funded by Trustworthy Autonomous Systems Hub (TAS Hub UK) and UT Good Systems. 2023-2024.
  • Development and Psychometric Validation of the AI Ethical Concerns Inventory – Healthcare (AIECIH) (PI). USD 4,000. Funded by UT Good Systems, The University of Texas at Austin. 2022-2023
  • Good Systems Faculty Fellowship, University of Texas at Austin, 2022
  • Bautista, J.R., Westendorf, R., & Goth, O. (online first; 2025 Nov 25). Using a socio-technical strategy to identify the use and implications of generative artificial intelligence tools on nursing education and practice. Journal of Advanced Nursing. https://doi.org/10.1111/jan.70401
  • Bautista, J.R. & Barnard, P. (2025). University of Missouri Responsible AI in Health Research Workshop 2025 (MU RAHR 2025): A nurse-led multidisciplinary responsible AI workshop. CIN: Computers, Informatics, Nursing, 43(11), e01354.
  • Bautista, J.R., Herbert, D., Farmer, M., De Torres, R.Q., Soriano, G.P., & Ronquillo, C. (2025). Health consumers’ use and perceptions of health information from generative artificial intelligence chatbots: A scoping review. Applied Clinical Informatics, 16, 892–902.
  • Barnard, P., Bautista, J.R., Dakhama, A., Farahi, A., Laos, K., Liu, A., Menendez, H. (2024, Oct). Responsible MLOps Design Methodology for an Auditing System for AI-based Clinical Decision Support Systems. In Proceedings of the 36th International Conference on Testing Software and Systems (ICTSS 2024). London, UK.
  • Williams, J., Schneiders, E., Card, H., Seebrooke, T., Pakenham-Walsh, B., Azim, T., Valls-Reed, L., Vigneswaran, G., Bautista, J.R., Chandra, R., & Farahi, A. (2024, Sep). Predicting acute pain levels implicitly from vocal features. In Proceedings of the 25th Interspeech Conference (Interspeech 2024), Kos, Greece.
  • Bautista, J.R. (2024) Pedagogical principles in implementing a data visualization project in an undergraduate public health informatics course. Applied Clinical Informatics, 15(5), 889-897.
  • Bautista, J.R., Zhang, Y., & Gwizdka, J. (2024). Correcting health misinformation on social media: Effect of social correction methods on vaccine skeptics’ intention to take COVID-19 vaccine. New Media & Society, 26(12), 7412-7438.
  • Sheng, A.Y., Gottlieb, M., Bautista, J.R., Trueger, N.S., Westafer, L., & Gisondi, M.A. (2023) The role of emergency physicians in the fight against health misinformation: Implications for resident training. AEM Education and Training, 7(Suppl. 1), S48– S57.
  • Bautista, J.R., Zhang, Y., & Gwizdka, J. (2023). Correcting health misinformation on social media: Effect of social correction methods on vaccine skeptics’ intention to take COVID-19 vaccine. New Media & Society. https://doi.org/10.1177/14614448231169697
  • Bautista, J.R., Harrell, D.T., Hanson, L., Oliveira, E., Meyer, E.T., Khurshid, A. (2023). MediLinker: A blockchain-based decentralized health information management platform for patient-centric healthcare. Frontiers in Big Data (Special Issue: Innovations in Digital Health and Wellbeing), 6, 1146023.
  • Bautista, J.R. & Tong, C. (2026, Apr). Lessons learned in using computational text analysis methods to analyze unstructured interview data in nursing research. To be presented at the Midwest Nursing Research Society 50th Annual Research Conference. St. Louis, MO. [Poster Discussion]
  • Bautista, J.R. (2025, Oct). Responsible use of generative artificial intelligence tools to address caregiving-related health information needs. 2025 NHCGNE Annual Conference. Virtual. [Pre-recorded Podium Presentation]
  • Tong, C. & Bautista, J.R.# (2025, Aug). Health communication and AI in nursing: comparative analysis of generative AI tool perceptions among nursing faculty, practitioners, and students. Association for Education in Journalism and Mass Communication 108th Conference. San Francisco, CA [Poster]
  • Bautista, J.R. & Westendorf, R.^ (2025, Mar). Using a socio-technical strategy to examine the use and impact of generative artificial intelligence chatbots on nursing education and practice. Midwest Nursing Research Society 49th Annual Research Conference. Indianapolis, IN. [Podium Presentation]
  • Bautista, J.R., Herbert, D.,^ Farmer, M., Soriano, G.P.^, De Torres, R.Q.^, & Ronquillo, C. (2025, Mar). Health consumers’ use and perceptions of health information from generative artificial intelligence chatbots: A scoping review. Midwest Nursing Research Society 49th Annual Research Conference. Indianapolis, IN. [Poster]
  • Reeder, B., Lee, K., Bautista, J.R. (2025, Feb). FAUST: Generative AI Knowledge Self-Report Tool to Facilitate Student-Centered Online Course Delivery. Midwest Nursing Research Society 49th Annual Research Conference. Indianapolis, IN. [Poster]
  • Bautista, J.R. (2025, Feb). Use and perceptions of AI Tools for teaching and learning at the MU Sinclair School of Nursing. AI2 Summit. University of Florida. Orlando, FL. [Poster]
  • Westendorf, R. & Bautista, J.R.(2025, Jan). Nursing stakeholders’ intention to use generative artificial intelligence tools and perceptions of information quality. MU AI Symposium. Columbia, MO. [Poster]
  • Bautista, J.R. (2024, Jul). Applying a socio-technical strategy to uncover the impact of generative artificial intelligence chatbots on nursing education and practice. 3rd Workshop on Artificial Intelligence in Nursing (AINurse24). Salt Lake City, UT. [Podium Presentation]
  • Bautista, J.R. (2024, Feb). Using a socio-technical strategy to identify tensions in the use of ChatGPT for nursing education. Midwest Nursing Research Society 48th Annual Research Conference. Minneapolis, MN. [Poster]
  • Schneiders, E., Williams, J., Farahi, A., Seabrooke, T., Vigneswaran, G., Bautista, J.R., Dowthwaite L., & Piskopani, A-M. (2023, July). TAME Pain: Trustworthy AssessMEnt of Pain from Speech and Audio for the Empowerment of Patients. In Proceedings of the First International Symposium on Trustworthy Autonomous Systems 2023 (TAS ‘23), Edinburgh, UK. *Honorable Mention (Poster)
  • Barnard, P., Bautista, J.R., Krook, J., Liu, A., Menéndez, H., Schmidt, A., & Sookoor, T. (2023, July) Machine Learning Auditing for Clinical AI Fairness (MACAIF). In Proceedings of the First International Symposium on Trustworthy Autonomous Systems 2023 (TAS ‘23), Edinburgh, UK.
  • Bautista, J.R. & Sheng, A. (2023, March). The role of graduate medical education in the fight against health misinformation. Presented at the 2023 Council of Residency Directors in Emergency Medicine (CORD) Academic Assembly. Las Vegas, NV.