The maturation of clinical research informatics as a subdomain of biomedical informatics.
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocaa312
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocaa312
This research aims to evaluate the impact of eligibility criteria on recruitment and observable clinical outcomes of COVID-19 clinical trials using electronic health record (EHR) data.
Author(s): Kim, Jae Hyun, Ta, Casey N, Liu, Cong, Sung, Cynthia, Butler, Alex M, Stewart, Latoya A, Ena, Lyudmila, Rogers, James R, Lee, Junghwan, Ostropolets, Anna, Ryan, Patrick B, Liu, Hao, Lee, Shing M, Elkind, Mitchell S V, Weng, Chunhua
DOI: 10.1093/jamia/ocaa276
Wrong drug product errors occurring in community pharmacies often originate at the transcription stage. Electronic prescribing and automated product selection are strategies to reduce product selection errors. However, it is unclear how often automated product selection succeeds in outpatient pharmacy platforms.
Author(s): Panich, Jennifer, Larson, Natalee, Sojka, Luanne, Wallace, Zach, Lokken, James
DOI: 10.1093/jamia/ocaa259
With the growing demand for sharing clinical trial data, scalable methods to enable privacy protective access to high-utility data are needed. Data synthesis is one such method. Sequential trees are commonly used to synthesize health data. It is hypothesized that the utility of the generated data is dependent on the variable order. No assessments of the impact of variable order on synthesized clinical trial data have been performed thus far [...]
Author(s): Emam, Khaled El, Mosquera, Lucy, Zheng, Chaoyi
DOI: 10.1093/jamia/ocaa249
We utilized a computerized order entry system-integrated function referred to as "void" to identify erroneous orders (ie, a "void" order). Using voided orders, we aimed to (1) identify the nature and characteristics of medication ordering errors, (2) investigate the risk factors associated with medication ordering errors, and (3) explore potential strategies to mitigate these risk factors.
Author(s): Abraham, Joanna, Galanter, William L, Touchette, Daniel, Xia, Yinglin, Holzer, Katherine J, Leung, Vania, Kannampallil, Thomas
DOI: 10.1093/jamia/ocaa264
The COVID-19 pandemic has resulted in a tremendous need for access to the latest scientific information, leading to both corpora for COVID-19 literature and search engines to query such data. While most search engine research is performed in academia with rigorous evaluation, major commercial companies dominate the web search market. Thus, it is expected that commercial pandemic-specific search engines will gain much higher traction than academic alternatives, leading to questions [...]
Author(s): Soni, Sarvesh, Roberts, Kirk
DOI: 10.1093/jamia/ocaa271
To identify and summarize the current internal governance processes adopted by hospitals, as reported in the literature, for selecting, optimizing, and evaluating clinical decision support (CDS) alerts in order to identify effective approaches.
Author(s): Van Dort, Bethany A, Zheng, Wu Yi, Sundar, Vivek, Baysari, Melissa T
DOI: 10.1093/jamia/ocaa279
Determination of appropriate endoscopy sedation strategy is an important preprocedural consideration. To address manual workflow gaps that lead to sedation-type order errors at our institution, we designed and implemented a clinical decision support system (CDSS) to review orders for patients undergoing outpatient endoscopy.
Author(s): Shen, Lin, Wright, Adam, Lee, Linda S, Jajoo, Kunal, Nayor, Jennifer, Landman, Adam
DOI: 10.1093/jamia/ocaa250
The ability to analyze human specimens is the pillar of modern-day translational research. To enhance the research availability of relevant clinical specimens, we developed the Living BioBank (LBB) solution, which allows for just-in-time capture and delivery of phenotyped surplus laboratory medicine specimens. The LBB is a system-of-systems integrating research feasibility databases in i2b2, a real-time clinical data warehouse, and an informatics system for institutional research services management (SPARC). LBB delivers [...]
Author(s): Alekseyenko, Alexander V, Hamidi, Bashir, Faith, Trevor D, Crandall, Keith A, Powers, Jennifer G, Metts, Christopher L, Madory, James E, Carroll, Steven L, Obeid, Jihad S, Lenert, Leslie A
DOI: 10.1093/jamia/ocaa236
Clinical trials ensure that pharmaceutical treatments are safe, efficacious, and effective for public consumption, but are extremely complex, taking up to 10 years and $2.6 billion to complete. One main source of complexity arises from the collaboration between actors, and network science methodologies can be leveraged to explore that complexity. We aim to characterize collaborations between actors in the clinical trials context and investigate trends of successful actors.
Author(s): Lin, Gary, Siddiqui, Sauleh, Bernstein, Jen, Martinez, Diego A, Gardner, Lauren, Albright, Tenley, Igusa, Takeru
DOI: 10.1093/jamia/ocaa243