To create a data visualization dashboard to advance research related to clinical trials sponsorship and monopolistic practices in the pharmaceuticals industry.
Author(s): Graham, S Scott, Majdik, Zoltan P, Barbour, Joshua B, Rousseau, Justin F
DOI: 10.1093/jamiaopen/ooab089
The impact of electronic health records (EHRs) in the emergency department (ED) remains mixed. Dynamic and unpredictable, the ED is highly vulnerable to workflow interruptions.
Author(s): Moy, Amanda J, Aaron, Lucy, Cato, Kenrick D, Schwartz, Jessica M, Elias, Jonathan, Trepp, Richard, Rossetti, Sarah Collins
DOI: 10.1055/s-0041-1736625
Overuse of cardiac telemetry monitoring (telemetry) can lead to alarm fatigue, discomfort for patients, and unnecessary medical costs. Currently there are evidence-based recommendations describing appropriate telemetry use, but many providers are unaware of these guidelines.
Author(s): Narayanan, Maya, Starks, Helene, Tanenbaum, Eric, Robinson, Ellen, Sutton, Paul R, Schleyer, Anneliese M
DOI: 10.1055/s-0041-1736338
There is an increasing body of literature advocating for the collection of patient-reported outcomes (PROs) in clinical care. Unfortunately, there are many barriers to integrating PRO measures, particularly computer adaptive tests (CATs), within electronic health records (EHRs), thereby limiting access to advances in PRO measures in clinical care settings.
Author(s): Bass, Michael, Oncken, Christian, McIntyre, Allison W, Dasilva, Chris, Spuhl, Joshua, Rothrock, Nan E
DOI: 10.1055/s-0041-1736464
To develop and evaluate an electronic tool that collects interval history and incorporates it into a provider summary note.
Author(s): Kumah-Crystal, Yaa A, Stein, Preston M, Chen, Qingxia, Lehmann, Christoph U, Novak, Laurie L, Roth, Sydney, Rosenbloom, S Trent
DOI: 10.1055/s-0041-1736223
Objectives of this study were to (1) describe barriers to using clinical practice guideline (CPG) admission order sets in a pediatric hospital and (2) determine if integrating CPG order bundles into a general admission order set increases adoption of CPG-recommended orders compared to standalone CPG order sets. We identified CPG-eligible encounters and surveyed admitting physicians to understand reasons for not using the associated CPG order set. We then integrated CPG [...]
Author(s): Mrosak, Justine, Kandaswamy, Swaminathan, Stokes, Claire, Roth, David, Dave, Ishaan, Gillespie, Scott, Orenstein, Evan
DOI: 10.1093/jamiaopen/ooab087
The objective of this study is to develop a deep learning pipeline to detect signals on dietary supplement-related adverse events (DS AEs) from Twitter.
Author(s): Wang, Yefeng, Zhao, Yunpeng, Schutte, Dalton, Bian, Jiang, Zhang, Rui
DOI: 10.1093/jamiaopen/ooab081
Author(s): Hensher, Martin, Cooper, Paul, Dona, Sithara Wanni Arachchige, Angeles, Mary Rose, Nguyen, Dieu, Heynsbergh, Natalie, Chatterton, Mary Lou, Peeters, Anna
DOI: 10.1093/jamia/ocab106
Author(s): Torous, John, Lagan, Sarah
DOI: 10.1093/jamia/ocab107
De-identification is a fundamental task in electronic health records to remove protected health information entities. Deep learning models have proven to be promising tools to automate de-identification processes. However, when the target domain (where the model is applied) is different from the source domain (where the model is trained), the model often suffers a significant performance drop, commonly referred to as domain adaptation issue. In de-identification, domain adaptation issues can [...]
Author(s): Liao, Shun, Kiros, Jamie, Chen, Jiyang, Zhang, Zhaolei, Chen, Ting
DOI: 10.1093/jamia/ocab128