Author(s):
DOI: 10.1093/jamia/ocx112
The purpose of this study was to determine whether an electronic health record-based sepsis alert system could improve quality of care and clinical outcomes for patients with sepsis.
Author(s): Austrian, Jonathan S, Jamin, Catherine T, Doty, Glenn R, Blecker, Saul
DOI: 10.1093/jamia/ocx072
To define the types and numbers of inpatient clinical decision support alerts, measure the frequency with which they are overridden, and describe providers' reasons for overriding them and the appropriateness of those reasons.
Author(s): Nanji, Karen C, Seger, Diane L, Slight, Sarah P, Amato, Mary G, Beeler, Patrick E, Her, Qoua L, Dalleur, Olivia, Eguale, Tewodros, Wong, Adrian, Silvers, Elizabeth R, Swerdloff, Michael, Hussain, Salman T, Maniam, Nivethietha, Fiskio, Julie M, Dykes, Patricia C, Bates, David W
DOI: 10.1093/jamia/ocx115
To systematically classify the clinical impact of computerized clinical decision support systems (CDSSs) in inpatient care.
Author(s): Varghese, Julian, Kleine, Maren, Gessner, Sophia Isabella, Sandmann, Sarah, Dugas, Martin
DOI: 10.1093/jamia/ocx100
Chronic noncancer pain is a highly prevalent condition among service members returning from deployment overseas. The US Army has a higher rate of opioid misuse than the civilian population. Although most states and many health care systems have implemented prescription drug monitoring programs (PDMPs) or other clinician decision support (CDS) to aid providers in delivering guideline-recommended opioid therapy, similar tools are lacking in military health settings.
Author(s): Finley, Erin P, Schneegans, Suyen, Tami, Claudina, Pugh, Mary Jo, McGeary, Don, Penney, Lauren, Sharpe Potter, Jennifer
DOI: 10.1093/jamia/ocx075
To assess the impact of electronic health record (EHR) implementation on hospital finances.
Author(s): McEvoy, Dustin, Barnett, Michael L, Sittig, Dean F, Aaron, Skye, Mehrotra, Ateev, Wright, Adam
DOI: 10.1093/jamia/ocy007
To describe the development, as part of the European Union MOSAIC (Models and Simulation Techniques for Discovering Diabetes Influence Factors) project, of a dashboard-based system for the management of type 2 diabetes and assess its impact on clinical practice.
Author(s): Dagliati, Arianna, Sacchi, Lucia, Tibollo, Valentina, Cogni, Giulia, Teliti, Marsida, Martinez-Millana, Antonio, Traver, Vicente, Segagni, Daniele, Posada, Jorge, Ottaviano, Manuel, Fico, Giuseppe, Arredondo, Maria Teresa, De Cata, Pasquale, Chiovato, Luca, Bellazzi, Riccardo
DOI: 10.1093/jamia/ocx159
Misinterpretation of complex genomic data presents a major challenge in the implementation of precision oncology. We sought to determine whether interactive genomic reports with embedded clinician education and optimized data visualization improved genomic data interpretation.
Author(s): Gray, Stacy W, Gagan, Jeffrey, Cerami, Ethan, Cronin, Angel M, Uno, Hajime, Oliver, Nelly, Lowenstein, Carol, Lederman, Ruth, Revette, Anna, Suarez, Aaron, Lee, Charlotte, Bryan, Jordan, Sholl, Lynette, Van Allen, Eliezer M
DOI: 10.1093/jamia/ocx150
Unlocking the data contained within both structured and unstructured components of electronic health records (EHRs) has the potential to provide a step change in data available for secondary research use, generation of actionable medical insights, hospital management, and trial recruitment. To achieve this, we implemented SemEHR, an open source semantic search and analytics tool for EHRs.
Author(s): Wu, Honghan, Toti, Giulia, Morley, Katherine I, Ibrahim, Zina M, Folarin, Amos, Jackson, Richard, Kartoglu, Ismail, Agrawal, Asha, Stringer, Clive, Gale, Darren, Gorrell, Genevieve, Roberts, Angus, Broadbent, Matthew, Stewart, Robert, Dobson, Richard J B
DOI: 10.1093/jamia/ocx160
Problem-based charting (PBC) is a method for clinician documentation in commercially available electronic medical record systems that integrates note writing and problem list management. We report the effect of PBC on problem list utilization and accuracy at an academic intensive care unit (ICU).
Author(s): Li, Ron C, Garg, Trit, Cun, Tony, Shieh, Lisa, Krishnan, Gomathi, Fang, Daniel, Chen, Jonathan H
DOI: 10.1093/jamia/ocx154