HTM680

Li, Y. H., Li, Y. L., Wei, M. Y., & Li, G. Y. (2024). Innovation and challenges of artificial intelligence technology in personalized healthcare. Nature: Scientific Reports, 14(1), 18994.
Provides an in-depth exploration of the latest AI innovations in healthcare and how their application can balance personalization with standardization to maximize clinical effectiveness.

Gilbert, B. W., & Bissell Turpin, B. D. (2024). Complexities of evidence-based medicine: Challenges for practice and policy development. American Journal of Health-System Pharmacy, 82(6), 359-363.
Critically examines the tension between personalized clinical judgment and standardized protocols. The article highlights important challenges, such as information overload, variable research quality, and implications of artificial intelligence in healthcare decision-making.

Miake-Lye, I. M., Cogan, A. M., Mak, S., Brunner, J., Rinne, S., Brayton, C. E., Krones, A., Ross, T. E., Burton, J. T., & Weiner, M. (2023). Transitioning from one electronic health record to another: A systematic review. Journal of General Internal Medicine, 38(Suppl 4), 956-964.
Synthesizes current evidence on the complexities, challenges, and outcomes involved in transitioning between EHR systems—stakeholder engagement, workflow impacts, and best practices.

Agaronnik, N. D., Davis, J., Manz, C. R., Tulsky, J. A., & Lindvall, C. (2025). Large language models to identify advance care planning in patients with advanced cancer. Journal of Pain and Symptom Management, 69(3), 243-250.
This article outlines the use of LLMs to track documentation of care goals, limitation of life-sustaining treatments, hospice, and palliative care using chart reviews of EHR data and free text notes (using natural language processing).

Naci, H., Murphy, P., Woods, B., Lomas, J., Wei, J., & Papanicolas, I. (2025). Population-health impact of new drugs recommended by the National Institute for Health and Care Excellence in England during 2000–20: a retrospective analysis. The Lancet, 405(10472), 50-60.
This resource articulates the practical need to balance individualized treatments against standardized population-level decision-making, emphasizing the consequences of allocating (and then managing) finite resources in healthcare.