Correction to: Dobbs and the future of health data privacy for patients and healthcare organizations.
Author(s):
DOI: 10.1093/jamia/ocac183
Author(s):
DOI: 10.1093/jamia/ocac183
Electronic health record audit logs capture a time-sequenced record of clinician activities while using the system. Audit log data therefore facilitate unobtrusive measurement at scale of clinical work activities and workflow as well as derivative, behavioral proxies (eg, teamwork). Given its considerable research potential, studies leveraging these data have burgeoned. As the field has matured, the challenges of using the data to answer significant research questions have come into focus [...]
Author(s): Kannampallil, Thomas, Adler-Milstein, Julia
DOI: 10.1093/jamia/ocac173
Acute kidney injury (AKI) is a common complication after pediatric cardiac surgery, and the early detection of AKI may allow for timely preventive or therapeutic measures. However, current AKI prediction researches pay less attention to time information among time-series clinical data and model building strategies that meet complex clinical application scenario. This study aims to develop and validate a model for predicting postoperative AKI that operates sequentially over individual time-series [...]
Author(s): Zeng, Xian, Shi, Shanshan, Sun, Yuhan, Feng, Yuqing, Tan, Linhua, Lin, Ru, Li, Jianhua, Duan, Huilong, Shu, Qiang, Li, Haomin
DOI: 10.1093/jamia/ocac202
Examine whether distribution of tablets to patients with access barriers influences their adoption and use of patient portals.
Author(s): Griffin, Ashley C, Troszak, Lara K, Van Campen, James, Midboe, Amanda M, Zulman, Donna M
DOI: 10.1093/jamia/ocac195
To evaluate and understand pregnant patients' perspectives on the implementation of artificial intelligence (AI) in clinical care with a focus on opportunities to improve healthcare technologies and healthcare delivery.
Author(s): Armero, William, Gray, Kathryn J, Fields, Kara G, Cole, Naida M, Bates, David W, Kovacheva, Vesela P
DOI: 10.1093/jamia/ocac200
Privacy is a concern whenever individual patient health data is exchanged for scientific research. We propose using mixed sum-product networks (MSPNs) as private representations of data and take samples from the network to generate synthetic data that can be shared for subsequent statistical analysis. This anonymization method was evaluated with respect to privacy and information loss.
Author(s): Kroes, Shannon K S, van Leeuwen, Matthijs, Groenwold, Rolf H H, Janssen, Mart P
DOI: 10.1093/jamia/ocac184
The aim of this article is to compare the aims, measures, methods, limitations, and scope of studies that employ vendor-derived and investigator-derived measures of electronic health record (EHR) use, and to assess measure consistency across studies.
Author(s): Rule, Adam, Melnick, Edward R, Apathy, Nate C
DOI: 10.1093/jamia/ocac177
The Supreme Court recently overturned settled case law that affirmed a pregnant individual's Constitutional right to an abortion. While many states will commit to protect this right, a large number of others have enacted laws that limit or outright ban abortion within their borders. Additional efforts are underway to prevent pregnant individuals from seeking care outside their home state. These changes have significant implications for delivery of healthcare as well [...]
Author(s): Clayton, Ellen Wright, Embí, Peter J, Malin, Bradley A
DOI: 10.1093/jamia/ocac155
Expansive growth in the use of health information technology (HIT) has dramatically altered medicine without translating to fully realized improvements in healthcare delivery. Bridging this divide will require healthcare professionals with all levels of expertise in clinical informatics. However, due to scarce opportunities for exposure and training in informatics, medical students remain an underdeveloped source of potential informaticists. To address this gap, our institution developed and implemented a 5-tiered clinical [...]
Author(s): Hare, Allison J, Soegaard Ballester, Jacqueline M, Gabriel, Peter E, Adusumalli, Srinath, Hanson, C William
DOI: 10.1093/jamia/ocac209
A hallmark of personalized medicine and nutrition is to identify effective treatment plans at the individual level. Lifestyle interventions (LIs), from diet to exercise, can have a significant effect over time, especially in the case of food intolerances and allergies. The large set of candidate interventions, make it difficult to evaluate which intervention plan would be more favorable for any given individual. In this study, we aimed to develop a [...]
Author(s): Eetemadi, Ameen, Tagkopoulos, Ilias
DOI: 10.1093/jamia/ocac186