Electronic health records (EHRs) provide a voluminous amount of data for research. However, potential biases threaten the internal and external validity of observational [...]

Currently, diverse scientific evidence evaluation tools, terms, and guidelines exist, but they are fragmented and inconsistently tied to foundational theory. This paper p [...]

In 2023, a series of templates were designed for the Inland Northwest Hospitalist teams based on multidisciplinary feedback. The analysis of the hospitalist practice bef [...]

This capstone examines why predictive AI-enabled clinical decision support tools continue to face resistance at the bedside and how that hesitation impacts patients’ conf [...]

A review of how technology, provider, interaction and therapeutic modality affect the effectiveness of iCBT in treating depression. Studies reviewed are conducted after t [...]

This work is an effort to characterize the nature of text-based communication behaviors between healthcare providers at a tertiary-care freestanding children’s hospital, [...]

Patient data entry burden remains a challenge. This study evaluated vector embedding search and large language models (LLMs) for automated schema matching between medical [...]

This study analyzes the efficacy of Nirmatrelvir and Ritonavir (NMV-r; Paxlovid) for outpatient treatment of COVID-19 in the pediatric population in the age group 12-18 y [...]

This paper compares the 2015 and 2021 state and national ADIs, published by Neighborhood Atlas/University of Wisconsin, with acute and chronic health measures: COVID-19 i [...]

An exploration of the current relationship between artificial intelligence and the equitable delivery of healthcare. Discusses capacity to enhance bias, improve equitable [...]