This month's issue includes a student spotlight on Jeffrey R. Smith, a handful of opportunities to get involved in 2023, and an updated working group leadership listing.
The objective of this study was to systematically review all literature studying the effect of patient education on patient engagement through patient portals.
Author(s): Johnson, Adam M, Brimhall, Andrew S, Johnson, Erica T, Hodgson, Jennifer, Didericksen, Katharine, Pye, Joseph, Harmon, G J Corey, Sewell, Kerry B
DOI: 10.1093/jamiaopen/ooac085
A shallow convolutional neural network (CNN), TextCNN, has become nearly ubiquitous for classification among clinical and medical text. This research presents a novel eXplainable-AI (X-AI) software, Red Flag/Blue Flag (RFBF), designed for binary classification with TextCNN. RFBF visualizes each convolutional filter's discriminative capability. This is a more informative approach than direct assessment of logit contribution, features that overfit to train set nuances on smaller datasets may indiscriminately activate large logits [...]
Author(s): Del Gaizo, John, Obeid, Jihad S, Catchpole, Kenneth R, Alekseyenko, Alexander V
DOI: 10.1093/jamiaopen/ooac112
The aim of this study was to test the feasibility of PICO (participants, interventions, comparators, outcomes) entity extraction using weak supervision and natural language processing.
Author(s): Dhrangadhariya, Anjani, Müller, Henning
DOI: 10.1093/jamiaopen/ooac107
The objective of this study is to describe application of the Observational Medical Outcomes Partnership (OMOP) common data model (CDM) to support medical device real-world evaluation in a National Evaluation System for health Technology Coordinating Center (NESTcc) Test-Case involving 2 healthcare systems, Mercy Health and Mayo Clinic. CDM implementation was coordinated across 2 healthcare systems with multiple hospitals to aggregate both medical device data from supply chain databases and patient [...]
Author(s): Yu, Yue, Jiang, Guoqian, Brandt, Eric, Forsyth, Tom, Dhruva, Sanket S, Zhang, Shumin, Chen, Jiajing, Noseworthy, Peter A, Doshi, Amit A, Collison-Farr, Kimberly, Kim, Dure, Ross, Joseph S, Coplan, Paul M, Drozda, Joseph P
DOI: 10.1093/jamiaopen/ooac108
Tumor registries are a rich source of real-world data which can be used to test important hypotheses that inform clinical care. Exploratory data analysis at the level of individual subjects, when enhanced by interactive data visualizations, has the potential to provide novel insights and generate new hypothesis.
Author(s): Miller, David M, Shalhout, Sophia Z
DOI: 10.1093/jamiaopen/ooac109
We provide a scoping review of Digital Health Interventions (DHIs) that mitigate COVID-19 misinformation and disinformation seeding and spread.
Author(s): Czerniak, Katarzyna, Pillai, Raji, Parmar, Abhi, Ramnath, Kavita, Krocker, Joseph, Myneni, Sahiti
DOI: 10.1093/jamia/ocad005
The healthcare field is experiencing widespread electronic health record (EHR) adoption. New medical professional liability, (i.e., malpractice) cases will likely involve review of data extracted from EHRs as well as EHR workflows, audit logs, and even the potential role of the EHR in causing harm. Reviewing printed versions of a patient's EHRs can be difficult due to differences in printed vs. on-screen presentations, redundancies, and the way printouts are often [...]
Author(s): Sittig, Dean F, Wright, Adam
DOI: 10.1055/a-2018-9932