@inproceedings{989a598ec45443069b300fc6223e75d5,
title = "A user-centered glucose-insulin data display for the inpatient setting",
abstract = "Inpatient management of insulin-dependent diabetes (IDD) is a complex task that requires clinicians to cognitively process information across distinct domains in different locations of the electronic medical record (EMR). Current data displays are not optimized to support insulin management by end users. We sought to develop a set of user-centered displays of capillary glucose data and insulin dose to improve inpatient management of IDD. Our proposed conceptual data display prototype is designed to simplify the presentation and visualization of key information needed for treatment decisions. The goal is also to enhance clinician's ability to identify opportunities to optimize insulin dosing and decrease end users' cognitive load and error rates.",
keywords = "Blood glucose, Data display, Diabetes mellitus",
author = "Bowen, {Michael E.} and Umme Rumana and Killgore, {Ethan A.} and Yang Gong",
note = "Funding Information: Dr. Bowen was supported by the National Institute of Diabetes, Digestive, and Kidney Diseases (NIH/NIDDK K23 DK104065). .Dr. Gong was in part supported by The Agency for Healthcare Research & Quality (1R01HS022895), and University of Texas System Grants Program (#156374). Publisher Copyright: {\textcopyright} 2017 International Medical Informatics Association (IMIA) and IOS Press.; 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 ; Conference date: 21-08-2017 Through 25-08-2017",
year = "2017",
doi = "10.3233/978-1-61499-830-3-684",
language = "English (US)",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "684--688",
editor = "Zhao Dongsheng and Gundlapalli, {Adi V.} and Jaulent Marie-Christine",
booktitle = "MEDINFO 2017",
}