Correction to: A framework for employing longitudinally collected multicenter electronic health records to stratify heterogeneous patient populations on disease history.
Author(s):
DOI: 10.1093/jamia/ocac080
Author(s):
DOI: 10.1093/jamia/ocac080
To describe adaptations necessary for effective use of direct-to-consumer (DTC) cameras in an inpatient setting, from the perspective of health care workers.
Author(s): Gorbenko, Ksenia, Mohammed, Afrah, Ezenwafor, Edward I I, Phlegar, Sydney, Healy, Patrick, Solly, Tamara, Nembhard, Ingrid, Xenophon, Lucy, Smith, Cardinale, Freeman, Robert, Reich, David, Mazumdar, Madhu
DOI: 10.1093/jamia/ocac081
This study sought to evaluate whether synthetic data derived from a national coronavirus disease 2019 (COVID-19) dataset could be used for geospatial and temporal epidemic analyses.
Author(s): Thomas, Jason A, Foraker, Randi E, Zamstein, Noa, Morrow, Jon D, Payne, Philip R O, Wilcox, Adam B, ,
DOI: 10.1093/jamia/ocac045
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocac095
We aim to investigate the application and accuracy of artificial intelligence (AI) methods for automated medical literature screening for systematic reviews.
Author(s): Feng, Yunying, Liang, Siyu, Zhang, Yuelun, Chen, Shi, Wang, Qing, Huang, Tianze, Sun, Feng, Liu, Xiaoqing, Zhu, Huijuan, Pan, Hui
DOI: 10.1093/jamia/ocac066
Certified electronic health record (EHR) technology has been adopted by most hospitals and health care providers. In 2015, the Office of the National Coordinator for Health Information Technology (ONC) published new EHR certification requirements, known as the 2015 Edition. To date, no research has examined the impact of hospitals' adoption of the 2015 Edition on health care delivery.
Author(s): Pylypchuk, Yuriy, Johnson, Christian
DOI: 10.1093/jamia/ocac076
Assess the effectiveness of providing Logical Observation Identifiers Names and Codes (LOINC®)-to-In Vitro Diagnostic (LIVD) coding specification, required by the United States Department of Health and Human Services for SARS-CoV-2 reporting, in medical center laboratories and utilize findings to inform future United States Food and Drug Administration policy on the use of real-world evidence in regulatory decisions.
Author(s): Cholan, Raja A, Pappas, Gregory, Rehwoldt, Greg, Sills, Andrew K, Korte, Elizabeth D, Appleton, I Khalil, Scott, Natalie M, Rubinstein, Wendy S, Brenner, Sara A, Merrick, Riki, Hadden, Wilbur C, Campbell, Keith E, Waters, Michael S
DOI: 10.1093/jamia/ocac072
Rising interests in distributed ledger technology (DLT) and genomics have sparked various interdisciplinary research streams with a proliferating number of scattered publications investigating the application of DLT in genomics. This review aims to uncover the current state of research on DLT in genomics, in terms of focal research themes and directions for future research.
Author(s): Beyene, Mikael, Toussaint, Philipp A, Thiebes, Scott, Schlesner, Matthias, Brors, Benedikt, Sunyaev, Ali
DOI: 10.1093/jamia/ocac077
Author(s):
DOI: 10.1093/jamia/ocac075
Recent technological development along with the constraints imposed by the coronavirus disease 2019 (COVID-19) pandemic have led to increased availability of patient-generated health data. However, it is not well understood how to effectively integrate this new technology into large health systems. This article seeks to identify interventions to increase utilization of electronic blood glucose monitoring for patients with diabetes.
Author(s): Root, Allyson, Connolly, Christopher, Majors, Season, Ahmed, Hassan, Toma, Mattie
DOI: 10.1093/jamia/ocac069