5 citations · 6 across the 4 of their papers we have counts for
4 papers
Design Principles Developed through User-Centered and Socio-Technical Methods Improve Clinician Satisfaction, Speed, and Confidence in Pharmacogenomic Clinical Decision Support
Timothy M. Herr, Therese A. Nelson, Luke V. Rasmussen +3
OBJECTIVE: To design and evaluate new pharmacogenomic (PGx) clinical decision support (CDS) alerts, built to adhere to PGx CDS design principles developed through socio-technical a…
Design Principles and Clinician Preferences for Pharmacogenomic Clinical Decision Support Alerts
Timothy M. Herr, Therese A. Nelson, Justin B. Starren
OBJECTIVE: To better understand clinician needs and preferences for the display of pharmacogenomic (PGx) information in clinical decision support (CDS) tools. MATERIALS AND METHODS…
Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms
Yizhen Zhong, Luke Rasmussen, Yu Deng +10
The automatic development of phenotype algorithms from Electronic Health Record data with machine learning (ML) techniques is of great interest given the current practice is very t…
Predictive Analytics Using Smartphone Sensors for Depressive Episodes
Taeheon Jeong, Diego Klabjan, Justin Starren
The behaviors of patients with depression are usually difficult to predict because the patients demonstrate the symptoms of a depressive episode without a warning at unexpected tim…