Publications (peer-reviewed)

Linnen, D., Hu, X., Stephens, C. (2020). Postimplementation Evaluation of a Machine Learning–Based Deterioration Risk Alert to Enhance Sepsis Outcome Improvements. NAQ, 44(4):336-346, October/December 2020.

Linnen, D., Escobar, G., Hu, X., Scruth, E., Liu, V., Stephens, C. (2019). Statistical modeling and aggregate-weighted scoring systems in prediction of mortality and ICU transfer: a systematic review. Journal of Hospital Medicine, 14(3), 161-169. doi: 10.12788/jhm.3151. Review. PubMed PMID: 30811322.

Linnen, D. (2018). Alert Driven Rescue: Do in-hospital sepsis interventions following an advanced early warning system alert differ substantially between decedents and survivors? (Doctoral dissertation). Available from Dissertations & Theses @ University of California; ProQuest Dissertations & Theses. (Order No. 10828062) Linnen dissertation

Linnen, D., Rondinelli, J., Kipnis, P., Greene, J., Liu, V., Escobar, G. (2018). Risk-adjustment for hospital characteristics reduces unexplained hospital variation in pressure injury risk. N Research, 67(4), 314-323.doi: 10.1097/NNR.0000000000000287. PubMed PMID: 29870519

Linnen, D., Kornak, J., Stephens, C. (2018). The Rural Inpatient Mortality Study: Does urban-rural county classification predict hospital mortality in California? The Permanente Journal, 22, 17-078. doi: 10.7812/TPP/17-078. PubMed PMID: 29616911

Linnen, D. (2015). From data to action: developing next-gen enterprise dashboard analytics to reduce clinical alarm fatigue. Informatics Today, 30(4), 4-10.

Villar, J., Clement, J.P., Stotts, J., Linnen, D., Rubin, D.J., Thompson, D., Gomez, A., Fee, C. (2014). Many emergency department patients with severe sepsis and septic shock do not meet diagnostic criteria within 3 hours of arrival. Annals of Emergency Medicine, 4(1), 48

Villar, J., Suess, E., Linnen, D., Stotts, J., & Fee, C. (2013). Time of Emergency Department Arrival is an Inaccurate Measure of Time of Presentation of Patients With Severe Sepsis and Septic Shock. Annals of Emergency Medicine, 62(4), S19.