User Experience Design for Adoption of Asthma Clinical Decision Support Tools.
Author(s): Gao, Emily, Radparvar, Ilana, Dieu, Holly, Ross, Mindy K
DOI: 10.1055/s-0042-1757292
Author(s): Gao, Emily, Radparvar, Ilana, Dieu, Holly, Ross, Mindy K
DOI: 10.1055/s-0042-1757292
Chronic kidney disease (CKD) is a major global health problem that affects approximately one in 10 adults. Up to 90% of individuals with CKD go undetected until its progression to advanced stages, invariably leading to death in the absence of treatment. The project aims to fill information gaps around the burden of CKD in the Western Australian (WA) population, including incidence, prevalence, rate of progression, and economic cost to the [...]
Author(s): Lim, David, Randall, Sean, Robinson, Suzanne, Thomas, Elizabeth, Williamson, James, Chakera, Aron, Napier, Kathryn, Schwan, Carola, Manuel, Justin, Betts, Kim, Kane, Chris, Boyd, James
DOI: 10.1055/s-0042-1757174
Infusion start time, completion time, and interruptions are the key data points needed in both area under the concentration-time curve (AUC)- and trough-based vancomycin therapeutic drug monitoring (TDM). However, little is known about the accuracy of documented times of drug infusions compared with automated recorded events in the infusion pump system. A traditional approach of direct observations of infusion practice is resource intensive and impractical to scale. We need a [...]
Author(s): Tung, Tsan-Hua, DeLaurentis, Poching, Yih, Yuehwern
DOI: 10.1055/s-0042-1756428
Author(s): Chen, You, Adler-Milstein, Julia, Sinsky, Christine A
DOI: 10.1055/a-1892-1437
Venipunctures and the testing they facilitate are clinically necessary, particularly for hospitalized patients. However, excess venipunctures lead to patient harm, decreased patient satisfaction, and waste.
Author(s): Anstett, Tyler, Smith, Chris, Hess, Kaitlyn, Patten, Luke, Pincus, Sharon, Lin, Chen-Tan, Ho, P Michael
DOI: 10.1055/a-1913-4158
Digital availability of patient data is continuously improving with the increasing implementation of electronic patient records in physician practices. The emergence of digital health data defines new fields of application for data analytics applications, which in turn offer extensive options of using data. Common areas of data analytics applications include decision support, administration, and fraud detection. Risk scores play an important role in compiling algorithms that underlay tools for decision [...]
Author(s): Heider, Ann-Kathrin, Mang, Harald
DOI: 10.1055/s-0042-1756367
Computerized clinical decision support (CDS) used in electronic health record systems (EHRs) has led to positive outcomes as well as unintended consequences, such as alert fatigue. Characteristics of the EHR session can be used to restrict CDS tools and increase their relevance, but implications of this approach are not rigorously studied.
Author(s): Salmasian, Hojjat, Rubins, David, Bates, David W
DOI: 10.1055/s-0042-1756426
Involving clinician end users in the development process of clinical dashboards is important to ensure that user needs are adequately met prior to releasing the dashboard for use. The challenge with following this approach is that clinician end users can undergo periodic turnover, meaning, the clinicians that played a role in the initial development process may not be the same individuals that use the dashboard in future.
Author(s): Burningham, Zachary, Lagha, Regina Richter, Duford-Hutchinson, Brittany, Callaway-Lane, Carol, Sauer, Brian C, Halwani, Ahmad S, Bell, Jamie, Huynh, Tina, Douglas, Joseph R, Kramer, B Josea
DOI: 10.1055/s-0042-1757553
Although the main task of health care providers is to provide patient care, studies show that increasing amounts of time are spent on documentation.
Author(s): Ebbers, Tom, Kool, Rudolf B, Smeele, Ludi E, Takes, Robert P, van den Broek, Guido B, Dirven, Richard
DOI: 10.1055/s-0042-1756422
Requiring accountable justifications-visible, clinician-recorded explanations for not following a clinical decision support (CDS) alert-has been used to steer clinicians away from potentially guideline-discordant decisions. Understanding themes from justifications across clinical content areas may reveal how clinicians rationalize decisions and could help inform CDS alerts.
Author(s): Brown, Tiffany, Zelch, Brittany, Lee, Ji Young, Doctor, Jason N, Linder, Jeffrey A, Sullivan, Mark D, Goldstein, Noah J, Rowe, Theresa A, Meeker, Daniella, Knight, Tara, Friedberg, Mark W, Persell, Stephen D
DOI: 10.1055/s-0042-1756366