The UMLS knowledge sources at 30: indispensable to current research and applications in biomedical informatics.
Author(s): Humphreys, Betsy L, Del Fiol, Guilherme, Xu, Hua
DOI: 10.1093/jamia/ocaa208
Author(s): Humphreys, Betsy L, Del Fiol, Guilherme, Xu, Hua
DOI: 10.1093/jamia/ocaa208
We explored how knowledge embeddings (KEs) learned from the Unified Medical Language System (UMLS) Metathesaurus impact the quality of relation extraction on 2 diverse sets of biomedical texts.
Author(s): Weinzierl, Maxwell A, Maldonado, Ramon, Harabagiu, Sanda M
DOI: 10.1093/jamia/ocaa205
In the last decade, expanding use of health information technology (IT) across the United States has created opportunities for use of electronic health data for health services and biomedical research, but efforts may be hampered by limited data access, data quality, and system functionality. We identify five opportunities to advance the use of health IT for health services and biomedical research, which informed a federal government-led, collaborative effort to develop [...]
Author(s): Zayas-Cabán, Teresa, Wald, Jonathan S
DOI: 10.1093/jamiaopen/ooaa037
We deployed a Remote Patient Monitoring (RPM) program to monitor patients with coronavirus disease 2019 (COVID-19) upon hospital discharge. We describe the patient characteristics, program characteristics, and clinical outcomes of patients in our RPM program.
Author(s): Gordon, William J, Henderson, Daniel, DeSharone, Avital, Fisher, Herrick N, Judge, Jessica, Levine, David M, MacLean, Laura, Sousa, Diane, Su, Mack Y, Boxer, Robert
DOI: 10.1055/s-0040-1721039
Referring patients to specialty care is an inefficient and error-prone process. Gaps in the referral process lead to delays in patients' access to care, negative patient experience, worse health outcomes, and increased operational costs. While implementation of standards-based electronic referral options can alleviate some of these inefficiencies, many referrals to tertiary and quaternary care centers continue to be sent via fax.
Author(s): Odisho, Anobel Y, Lui, Hansen, Yerramsetty, Ramakrishna, Bautista, Felicisimo, Gleason, Nathaniel, Martin, Edwin, Young, Jerry J, Blum, Michael, Neinstein, Aaron B
DOI: 10.1093/jamiaopen/ooaa036
Electronic health record (EHR) data linked with address-based metrics using geographic information systems (GIS) are emerging data sources in population health studies. This study examined this approach through a case study on the associations between changes in ejection fraction (EF) and the built environment among heart failure (HF) patients.
Author(s): Zhang, Yiye, Tayarani, Mohammad, Al'Aref, Subhi J, Beecy, Ashley N, Liu, Yifan, Sholle, Evan, RoyChoudhury, Arindam, Axsom, Kelly M, Gao, Huaizhu Oliver, Pathak, Jyotishman, Ancker, Jessica S
DOI: 10.1093/jamiaopen/ooaa038
To enhance reproducible research by creating a broadly accessible, free, open-source software tool for connecting Microsoft Word to statistical programs (R/R Markdown, Python, SAS, Stata) so that results may be automatically updated in a manuscript.
Author(s): Welty, Leah J, Rasmussen, Luke V, Baldridge, Abigail S, Whitley, Eric W
DOI: 10.1093/jamiaopen/ooaa043
We address the challenges of transitioning from one electronic health record (EHR) to another-a near ubiquitous phenomenon in health care. We offer mitigating strategies to reduce unintended consequences, maximize patient safety, and enhance health care delivery.
Author(s): Huang, Chunya, Koppel, Ross, McGreevey, John D, Craven, Catherine K, Schreiber, Richard
DOI: 10.1055/s-0040-1718535
Suboptimal information display in electronic health records (EHRs) is a notorious pain point for users. Designing an effective display is difficult, due in part to the complex and varied nature of clinical practice.
Author(s): Lasko, Thomas A, Owens, David A, Fabbri, Daniel, Wanderer, Jonathan P, Genkins, Julian Z, Novak, Laurie L
DOI: 10.1055/s-0040-1716746
The Unified Medical Language System (UMLS) is 1 of the most successful, collaborative efforts of terminology resource development in biomedicine. The present study aims to 1) survey historical footprints, emerging technologies, and the existing challenges in the use of UMLS resources and tools, and 2) present potential future directions.
Author(s): Kim, Meen Chul, Nam, Seojin, Wang, Fei, Zhu, Yongjun
DOI: 10.1093/jamia/ocaa107