The Need for Expanded Educational Opportunities in Clinical Informatics for Pediatric Trainees.
Author(s): Yan, Adam P, Yarahuan, Julia, Hron, Jonathan D
DOI: 10.1055/a-2340-7142
Author(s): Yan, Adam P, Yarahuan, Julia, Hron, Jonathan D
DOI: 10.1055/a-2340-7142
Blood product ordering is a complex process and mistakes can harm patients and lead to poor outcomes. Orders and order sets can be designed to help mitigate errors, but major changes in design can unintentionally cause new errors.
Author(s): Thompson, Sarah A, Williams, Herb, Rzewnicki, Daniel, Orenstein, Evan, Carter, Alexis B, Rollins, Margo, Rogers, Beverly, Kandaswamy, Swaminathan
DOI: 10.1055/a-2351-9642
The lack of feasible and meaningful measures of clinicians' behavior hinders efforts to assess and improve obesity management in pediatric primary care. In this study, we examined the external validity of a novel algorithm, previously validated in a single geographic region, using structured electronic health record (EHR) data to identify phenotypes of clinicians' attention to elevated body mass index (BMI) and weight-related comorbidities.
Author(s): Barron, Anya G, Fenick, Ada M, Maciejewski, Kaitlin R, Turer, Christy B, Sharifi, Mona
DOI: 10.1055/s-0044-1787975
Imaging and Clinical Informatics are domains of biomedical informatics. Imaging Informatics topics are often not covered in depth in most Clinical Informatics fellowships. While dedicated Imaging Informatics fellowships exist, they may not have the same rigor as ACGME (Accreditation Council for Graduate Medical Education) accredited Clinical Informatics fellowships and they do not provide a direct path toward subspecialty board certification.
Author(s): Bumbarger, Nathan A, Towbin, Alexander J, Garcia-Filion, Pamela, Whitfill, James, Cook, Tessa, Folio, Les R
DOI: 10.1055/s-0044-1788327
The Accreditation Council for Graduate Medical Education suggests that Clinical Informatics (CI) fellowship programs foster broad skills, which include collaboration and project management. However, they do not dictate how to best accomplish these learning objectives.
Author(s): Leu, Michael G, Singh, Angad P, Lewis, Christopher W, Jane Fellner, B, Kim, Theresa B, Lin, Yu-Hsiang, Sutton, Paul R, White, Andrew A, Tarczy-Hornoch, Peter
DOI: 10.1055/s-0044-1788980
Author(s): Albiñana, Carlos Berenguer, Pallocca, Matteo, Fenton, Hayley, Sopwith, Will, Eden, Charlie Van, Akre, Olof, Auranen, Annika, Bocquet, François, Borges, Marina, Calvo, Emiliano, Corkett, John, Di Cosimo, Serena, Gentili, Nicola, Guérin, Julien, Jor, Sissel, Kazda, Tomas, Kolar, Alenka, Kuschel, Tim, Lostes, Maria Julia, Paratore, Chiara, Pedrazzoli, Paolo, Petrovic, Marko, Raid, Jarno, Roche, Miriam, Schatz, Christoph, Thonnard, Joelle, Tonon, Giovanni, Traverso, Alberto, Wolf, Andrea, Zedan, Ahmed H, Mahon, Piers
DOI: 10.1055/s-0044-1792139
We present a proof-of-concept digital scribe system as an Emergency Department (ED) consultation call-based clinical conversation summarization pipeline to support clinical documentation, and report its performance.
Author(s): Sezgin, Emre, Sirrianni, Joseph Winstead, Kranz, Kelly
DOI: 10.1055/a-2327-4121
Author(s): Sova, Christopher, Poon, Eric, Musser, Robert Clayton, Chowdhury, Anand
DOI: 10.1055/s-0044-1787648
Predicting 30-day hospital readmissions is crucial for improving patient outcomes, optimizing resource allocation, and achieving financial savings. Existing studies reporting the development of machine learning (ML) models predictive of neurosurgical readmissions do not report factors related to clinical implementation.
Author(s): Wu, Tzu-Chun, Kim, Abraham, Tsai, Ching-Tzu, Gao, Andy, Ghuman, Taran, Paul, Anne, Castillo, Alexandra, Cheng, Joseph, Adogwa, Owoicho, Ngwenya, Laura B, Foreman, Brandon, Wu, Danny T Y
DOI: 10.1055/s-0044-1787119
Clinical informatics (CI) has reshaped how medical information is shared, evaluated, and utilized in health care delivery. The widespread integration of electronic health records (EHRs) mandates proficiency among physicians and practitioners, yet medical trainees face a scarcity of opportunities for CI education.
Author(s): Rungvivatjarus, Tiranun, Bialostozky, Mario, Chong, Amy Z, Huang, Jeannie S, Kuelbs, Cynthia L
DOI: 10.1055/s-0044-1786977