Publications

Peer-reviewed papers, conference proceedings, and book chapters.

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2026

PLACID: Privacy-preserving Large language models for Acronym Clinical Inference and Disambiguation

Aithal, M.B., Kotz, A. & Mitchell, J. (2026). arXiv, arXiv:2603.23678; accepted poster, AMIA Symposium 2026.

Large Language Models Clinical NLP Privacy-Preserving AI
arXiv:2603.23678

Barriers and Facilitators to Implementing a Shared Decision-Making Tool for Anticoagulant-Related Drug-Drug Interactions: A Qualitative Study Across Three Academic Medical Centers

Becker, R.A. et al. including Mitchell, J. (2026). BMJ Open, 16(3), e110074.

Drug-Drug Interactions Shared Decision-Making

2025

Application of Nudges to Design Clinical Decision Support Tools: Systematic Approach Guided by Implementation Science

Trinkley, K.E. et al. including Mitchell, J. (2025). Journal of Medical Internet Research, 27, e73189.

Clinical Decision Support Behavioral Design Implementation Science
DOI Link

Fast, Accurate Assignment of Clinical Diagnoses From Patient Notes by a Large Language Model: Critical Pediatric Pneumonia as a Use Case

Martin, B. et al. including Mitchell, J. (2025). Critical Care Explorations, 7(12), e1350.

Large Language Models Pediatric Critical Care

Risk of Gastrointestinal Bleeding by Specific SSRIs and SNRIs: A Systematic Review and Meta-Analysis

Gomez-Lumbreras, A. et al. including Mitchell, J. (2025). British Journal of Clinical Pharmacology.

Pharmacology Systematic Review

Pragmatic Integration of User-Centered Design and Implementation Science: A New Methodological Approach for Clinical Decision Support Implementation in EHRs

Maw, A.M., Hoppe, J.A., Wagner, N.M. & Mitchell, J. (2025). Applied Clinical Informatics, 16(05), 1531–1540.

User-Centred Design EHR Implementation Implementation Science
DOI Link

Social Determinants of Health in Digital Health Policies: An International Environmental Scan

Song, J. et al. including Mitchell, J. (2024). Yearbook of Medical Informatics, 33(01), 283–291.

Digital Health Policy Social Determinants of Health

2024

Navigating Complexity: Enhancing Pediatric Diagnostics With Large Language Models

Mitchell, J. & Bennett, T.D. (2024). Pediatric Critical Care Medicine, 25(6), 577–580.

Large Language Models Pediatric Care
DOI Link

The Untapped Potential of Nursing and Allied Health Data for Improved Representation of Social Determinants of Health and Intersectionality in Artificial Intelligence Applications

Ronquillo, C.E., Mitchell, J. et al. (2022). Yearbook of Medical Informatics, 31(01), 094–099.

AI Equity Nursing Data

Towards Automated Screening of Literature on Artificial Intelligence in Nursing

Moen, H. et al. including Mitchell, J. (2022). MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation.

AI in Nursing Literature Screening

A Rapid Review on Current and Potential Uses of Large Language Models in Nursing

Hobensack, M. et al. (2024). International Journal of Nursing Studies, 154, 104753.

Large Language Models Nursing Informatics
DOI Link

Health Informatics Solutions in Response to COVID-19: Preliminary Insights from an International Survey

Barakati, S.S. et al. including Mitchell, J. (2020). Integrated Citizen Centered Digital Health and Social Care, 222–223.

Health Informatics COVID-19

2022

Applying Recommendations and Working with Clinical Experts to Understand, Adapt, Verify, and Validate Clinical Information for Mobile Delivery

Mitchell, J., de Quincey, E., Pantin, C. & Mustfa, N. (2022). 35th International BCS HCI Conference.

Mobile Health Clinical Guidelines
DOI Link

Using Physiological Signals to Measure the Quality-of-Experience of Health Care Professionals when Interacting with a Clinical Guideline Mobile App

Mitchell, J. & Kanwal, N. (2022). 35th International BCS HCI Conference.

Physiological Signals User Experience
DOI Link

Design Recommendations for Presenting Clinical Guidelines on Mobile Devices

Mitchell, J., de Quincey, E., Pantin, C. & Mustfa, N. (2022). Studies in Health Technology and Informatics, 290, 1110–1111.

Design Mobile Health
DOI Link

Artificial Intelligence-Based Technologies in Nursing: A Scoping Literature Review of the Evidence

von Gerich, H. et al. (2022). International Journal of Nursing Studies.

AI in Nursing Literature Review
DOI Link

2021

Card Sorting for User Experience Design

De Quincey, E. & Mitchell, J. (2021). Interacting with Computers.

UX Methods Information Architecture
DOI Link

15 Usability Recommendations for Delivering Clinical Guidelines on Mobile Devices

Mitchell, J., de Quincey, E., Pantin, C. & Mustfa, N. (2021). 34th British HCI Conference, pp. 82–93.

Usability Clinical Guidelines
DOI Link

2020

The Development of a Point of Care Clinical Guidelines Mobile Application Following a User-Centred Design Approach

Mitchell, J., de Quincey, E., Pantin, C. & Mustfa, N. (2020). BCS HCI Conference (22), pp. 294–313.

User-Centred Design Mobile Health Point-of-Care
DOI Link
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