Corrigendum to: The roles of the US National Library of Medicine and Donald A.B. Lindberg in revolutionizing biomedical and health informatics.
Author(s): Miller, Randolph A, Shortliffe, Edward H
DOI: 10.1093/jamia/ocac026
Author(s): Miller, Randolph A, Shortliffe, Edward H
DOI: 10.1093/jamia/ocac026
Population health management (PHM) is an important approach to promote wellness and deliver health care to targeted individuals who meet criteria for preventive measures or treatment. A critical component for any PHM program is a data analytics platform that can target those eligible individuals.
Author(s): Bradshaw, Richard L, Kawamoto, Kensaku, Kaphingst, Kimberly A, Kohlmann, Wendy K, Hess, Rachel, Flynn, Michael C, Nanjo, Claude J, Warner, Phillip B, Shi, Jianlin, Morgan, Keaton, Kimball, Kadyn, Ranade-Kharkar, Pallavi, Ginsburg, Ophira, Goodman, Melody, Chambers, Rachelle, Mann, Devin, Narus, Scott P, Gonzalez, Javier, Loomis, Shane, Chan, Priscilla, Monahan, Rachel, Borsato, Emerson P, Shields, David E, Martin, Douglas K, Kessler, Cecilia M, Del Fiol, Guilherme
DOI: 10.1093/jamia/ocac028
Electronic health records have incomplete capture of patient outcomes. We consider the case when observability is differential across a predictor. Including such a predictor (sensitive variable) can lead to algorithmic bias, potentially exacerbating health inequities.
Author(s): Yan, Mengying, Pencina, Michael J, Boulware, L Ebony, Goldstein, Benjamin A
DOI: 10.1093/jamia/ocac019
To identify the risk factors home healthcare (HHC) clinicians associate with patient deterioration and understand how clinicians respond to and document these risk factors.
Author(s): Hobensack, Mollie, Ojo, Marietta, Barrón, Yolanda, Bowles, Kathryn H, Cato, Kenrick, Chae, Sena, Kennedy, Erin, McDonald, Margaret V, Rossetti, Sarah Collins, Song, Jiyoun, Sridharan, Sridevi, Topaz, Maxim
DOI: 10.1093/jamia/ocac023
In response to the coronavirus disease-19 (COVID-19) pandemic, numerous institutions published COVID-19 dashboards for reporting epidemiological statistics at the county, state, or national level. However, statistics for smaller cities were often not reported, requiring these areas to develop their own data processing pipelines. For under-resourced departments of health, the development of these pipelines was challenging, leading them to rely on nonspecific and often delayed infection statistics during the pandemic. To [...]
Author(s): Suri, Abhinav, Askari, Melanie, Calder, Jennifer, Branas, Charles, Rundle, Andrew
DOI: 10.1093/jamia/ocac025
Seizure frequency and seizure freedom are among the most important outcome measures for patients with epilepsy. In this study, we aimed to automatically extract this clinical information from unstructured text in clinical notes. If successful, this could improve clinical decision-making in epilepsy patients and allow for rapid, large-scale retrospective research.
Author(s): Xie, Kevin, Gallagher, Ryan S, Conrad, Erin C, Garrick, Chadric O, Baldassano, Steven N, Bernabei, John M, Galer, Peter D, Ghosn, Nina J, Greenblatt, Adam S, Jennings, Tara, Kornspun, Alana, Kulick-Soper, Catherine V, Panchal, Jal M, Pattnaik, Akash R, Scheid, Brittany H, Wei, Danmeng, Weitzman, Micah, Muthukrishnan, Ramya, Kim, Joongwon, Litt, Brian, Ellis, Colin A, Roth, Dan
DOI: 10.1093/jamia/ocac018
The purpose of this study was to develop a framework to assess the quality of healthcare data sources.
Author(s): Hooshafza, Sepideh, Mc Quaid, Louise, Stephens, Gaye, Flynn, Rachel, O'Connor, Laura
DOI: 10.1093/jamia/ocac017
We sought to understand and synthesize review-level evidence on the challenges associated with accessibility of virtual care among underserved population groups and to identify strategies that can improve access to, uptake of, and engagement with virtual care for these populations.
Author(s): Budhwani, Suman, Fujioka, Jamie, Thomas-Jacques, Tyla, De Vera, Kristina, Challa, Priyanka, De Silva, Ryan, Fuller, Kaitlin, Shahid, Simone, Hogeveen, Sophie, Chandra, Shivani, Bhatia, R Sacha, Seto, Emily, Shaw, James
DOI: 10.1093/jamia/ocac022
Adoption of electronic health records (EHRs) and health information exchange (HIE) is a key tool to improving the quality of care in assisted living communities (ALC). We examined whether EHRs were being used in ALC to support HIE in 2010 and 2018. We found that adoption of EHR and HIE functions increased substantially over the study period. However, adoption of HIE functions lagged significantly behind EHR functions in both 2010 [...]
Author(s): Lin, Sunny C, Tunalilar, Ozcan
DOI: 10.1093/jamia/ocac021
Supporting public health research and the public's situational awareness during a pandemic requires continuous dissemination of infectious disease surveillance data. Legislation, such as the Health Insurance Portability and Accountability Act of 1996 and recent state-level regulations, permits sharing deidentified person-level data; however, current deidentification approaches are limited. Namely, they are inefficient, relying on retrospective disclosure risk assessments, and do not flex with changes in infection rates or population demographics over [...]
Author(s): Brown, J Thomas, Yan, Chao, Xia, Weiyi, Yin, Zhijun, Wan, Zhiyu, Gkoulalas-Divanis, Aris, Kantarcioglu, Murat, Malin, Bradley A
DOI: 10.1093/jamia/ocac011