Understanding enterprise data warehouses to support clinical and translational research: enterprise information technology relationships, data governance, workforce, and cloud computing.
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DOI: 10.1093/jamia/ocac206
Author(s):
DOI: 10.1093/jamia/ocac206
To identify and characterize clinical subgroups of hospitalized Coronavirus Disease 2019 (COVID-19) patients.
Author(s): Ta, Casey N, Zucker, Jason E, Chiu, Po-Hsiang, Fang, Yilu, Natarajan, Karthik, Weng, Chunhua
DOI: 10.1093/jamia/ocac208
Patient phenotype definitions based on terminologies are required for the computational use of electronic health records. Within UK primary care research databases, such definitions have typically been represented as flat lists of Read terms, but Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) (a widely employed international reference terminology) enables the use of relationships between concepts, which could facilitate the phenotyping process. We implemented SNOMED CT-based phenotyping approaches and investigated their [...]
Author(s): Elkheder, Musaab, Gonzalez-Izquierdo, Arturo, Qummer Ul Arfeen, Muhammad, Kuan, Valerie, Lumbers, R Thomas, Denaxas, Spiros, Shah, Anoop D
DOI: 10.1093/jamia/ocac158
Electronic (e)-phenotype specification by noninformaticist investigators remains a challenge. Although validation of each patient returned by e-phenotype could ensure accuracy of cohort representation, this approach is not practical. Understanding the factors leading to successful e-phenotype specification may reveal generalizable strategies leading to better results.
Author(s): Hamidi, Bashir, Flume, Patrick A, Simpson, Kit N, Alekseyenko, Alexander V
DOI: 10.1093/jamia/ocac157
COVID-19 survivors are at risk for long-term health effects, but assessing the sequelae of COVID-19 at large scales is challenging. High-throughput methods to efficiently identify new medical problems arising after acute medical events using the electronic health record (EHR) could improve surveillance for long-term consequences of acute medical problems like COVID-19.
Author(s): Kerchberger, Vern Eric, Peterson, Josh F, Wei, Wei-Qi
DOI: 10.1093/jamia/ocac159
Author(s): Lam, Barbara D, Dupee, David, Gerard, Macda, Bell, Sigall K
DOI: 10.1055/s-0043-1761436
Although electronic medication administration records (eMARs) and bar-coded medication administration (BCMA) have improved medication safety, poor usability of these technologies can increase patient safety risks.
Author(s): Pruitt, Zoe M, Kazi, Sadaf, Weir, Charlene, Taft, Teresa, Busog, Deanna-Nicole, Ratwani, Raj, Hettinger, Aaron Z
DOI: 10.1055/s-0043-1761435
The COVID-19 (coronavirus disease 2019) pandemic rapidly expanded telemedicine scale and scope. As telemedicine becomes routine, understanding how specialty and diagnosis combine with demographics to impact telemedicine use will aid in addressing its current limitations.
Author(s): Hsiao, Vivian, Chandereng, Thevaa, Huebner, Jeffrey A, Kunstman, David T, Flood, Grace E, Tevaarwerk, Amye J, Schneider, David F
DOI: 10.1055/s-0043-1762595
For caregivers of adolescents and young adults with severe cognitive deficits, or "diminished capacity," access to the medical record can be critical. However, this can be a challenge when utilizing the electronic health record (EHR) as information is often restricted in order to protect adolescent confidentiality. Having enhanced access for these proxies would be expected to improve engagement with the health system for the families of these medically complex adolescents [...]
Author(s): Carlson, Jennifer L, Pageler, Natalie, McPherson, Tom, Anoshiravani, Arash
DOI: 10.1055/s-0043-1760847
Clinical decision support (CDS) has promise for the implementation of antimicrobial stewardship programs (ASPs) in the emergency department (ED). We sought to assess the usability of a newly developed automated CDS to improve guideline-adherent antibiotic prescribing for pediatric community-acquired pneumonia (CAP) and urinary tract infection (UTI).
Author(s): McGonagle, Erin A, Karavite, Dean J, Grundmeier, Robert W, Schmidt, Sarah K, May, Larissa S, Cohen, Daniel M, Cruz, Andrea T, Tu, Shin-Ping, Bajaj, Lalit, Dayan, Peter S, Mistry, Rakesh D
DOI: 10.1055/s-0042-1760082