To Applied Clinical Informatics Authors and Reviewers: Thank You for All Your Help!
Author(s): Lehmann, Christoph U, Lehmann, Jenna S, Petersen, Carolyn, Sittig, Dean F
DOI: 10.1055/s-0041-1729958
Author(s): Lehmann, Christoph U, Lehmann, Jenna S, Petersen, Carolyn, Sittig, Dean F
DOI: 10.1055/s-0041-1729958
There are specific issues regarding sexual orientation (SO) collection and analysis among transgender and nonbinary patients. A limitation to meaningful SO and gender identity (GI) data collection is their consideration as a fixed trait or demographic data point.
Author(s): Dubin, Samuel, Cook, Tiffany E, Radix, Asa, Greene, Richard E
DOI: 10.1055/s-0041-1725184
Increasingly, pharmacists provide team-based care that impacts patient care; however, the extent of recent clinical decision support (CDS), targeted to support the evolving roles of pharmacists, is unknown. Our objective was to evaluate the literature to understand the impact of clinical pharmacists using CDS.
Author(s): Yan, Liang, Reese, Thomas, Nelson, Scott D
DOI: 10.1055/s-0041-1722916
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocab007
There is little debate about the importance of ethics in health care, and clearly defined rules, regulations, and oaths help ensure patients' trust in the care they receive. However, standards are not as well established for the data professions within health care, even though the responsibility to treat patients in an ethical way extends to the data collected about them. Increasingly, data scientists, analysts, and engineers are becoming fiduciarily responsible [...]
Author(s): Montague, Elizabeth, Day, T Eugene, Barry, Dwight, Brumm, Maria, McAdie, Aaron, Cooper, Andrew B, Wignall, Julia, Erdman, Steve, Núñez, Diahnna, Diekema, Douglas, Danks, David
DOI: 10.1093/jamia/ocaa307
This letter discusses the limitations of the use of filters to enhance the accuracy of the extraction of parenthetic abbreviations from scholarly publications and proposes the usage of the parentheses level count algorithm to efficiently extract entities between parentheses from raw texts as well as of machine learning-based supervised classification techniques for the identification of biomedical abbreviations to significantly reduce the removal of acronyms including disallowed punctuations.
Author(s): Turki, Houcemeddine, Hadj Taieb, Mohamed Ali, Ben Aouicha, Mohamed
DOI: 10.1093/jamia/ocaa314
Author(s): Lu, Chris J, Payne, Amanda, Mork, James G
DOI: 10.1093/jamia/ocaa313
Author(s): Jalali, Mohammad S, Landman, Adam, Gordon, William J
DOI: 10.1093/jamia/ocaa310
Machine learning (ML) has captured the attention of many clinicians who may not have formal training in this area but are otherwise increasingly exposed to ML literature that may be relevant to their clinical specialties. ML papers that follow an outcomes-based research format can be assessed using clinical research appraisal frameworks such as PICO (Population, Intervention, Comparison, Outcome). However, the PICO frameworks strain when applied to ML papers that create [...]
Author(s): Liu, Xinran, Anstey, James, Li, Ron, Sarabu, Chethan, Sono, Reiri, Butte, Atul J
DOI: 10.1055/s-0041-1729752
In the United States, all 50 state governments deployed publicly viewable dashboards regarding the novel coronavirus disease 2019 (COVID-19) to track and respond to the pandemic. States dashboards, however, reflect idiosyncratic design practices based on their content, function, and visual design and platform. There has been little guidance for what state dashboards should look like or contain, leading to significant variation.
Author(s): Fareed, Naleef, Swoboda, Christine M, Chen, Sarah, Potter, Evelyn, Wu, Danny T Y, Sieck, Cynthia J
DOI: 10.1055/s-0041-1723989