[This corrects the article DOI: 10.1093/jamiaopen/ooac113.].
Author(s):
DOI: 10.1093/jamiaopen/ooad008
Problem-oriented documentation is an accepted method of note construction which facilitates clinical thought processes. However, problem-oriented documentation is challenging to put into practice using commercially available electronic health record (EHR) systems.
Author(s): Altman, Richard L, Lin, Chen-Tan, Earnest, Mark
DOI: 10.1093/jamiaopen/ooad005
Automatically identifying patients at risk of immune checkpoint inhibitor (ICI)-induced colitis allows physicians to improve patientcare. However, predictive models require training data curated from electronic health records (EHR). Our objective is to automatically identify notes documenting ICI-colitis cases to accelerate data curation.
Author(s): Rahman, Protiva, Ye, Cheng, Mittendorf, Kathleen F, Lenoue-Newton, Michele, Micheel, Christine, Wolber, Jan, Osterman, Travis, Fabbri, Daniel
DOI: 10.1093/jamiaopen/ooad017
The objective of this study is to provide a method to calculate model performance measures in the presence of resource constraints, with a focus on net benefit (NB).
Author(s): Singh, Karandeep, Shah, Nigam H, Vickers, Andrew J
DOI: 10.1093/jamia/ocad006
Convert the Medical Information Mart for Intensive Care (MIMIC)-IV database into Health Level 7 Fast Healthcare Interoperability Resources (FHIR). Additionally, generate and publish an openly available demo of the resources, and create a FHIR Implementation Guide to support and clarify the usage of MIMIC-IV on FHIR.
Author(s): Bennett, Alex M, Ulrich, Hannes, van Damme, Philip, Wiedekopf, Joshua, Johnson, Alistair E W
DOI: 10.1093/jamia/ocad002
Extracorporeal membrane oxygenation (ECMO) resource allocation tools are currently lacking. We developed machine learning (ML) models for predicting COVID-19 patients at risk of receiving ECMO to guide patient triage and resource allocation.
Author(s): Xue, Bing, Shah, Neel, Yang, Hanqing, Kannampallil, Thomas, Payne, Philip Richard Orrin, Lu, Chenyang, Said, Ahmed Sameh
DOI: 10.1093/jamia/ocac256
Author(s): Quintana, Yuri, Cullen, Theresa A, Holmes, John H, Joshi, Ashish, Novillo-Ortiz, David, Liaw, Siaw-Teng
DOI: 10.1093/jamia/ocad027
The aim of this study was to explore the state of health information technology (HIT) usability evaluation in Africa.
Author(s): Dougherty, Kylie, Hobensack, Mollie, Bakken, Suzanne
DOI: 10.1093/jamia/ocac236
Global Health Informatics (GHI) as a branch of health informatics has been established for 2 decades now. During that time, great strides have been made in the creation and implementation of informatics tools to improve healthcare delivery and outcomes in the most vulnerable and remote communities worldwide. In many of the most successful projects, innovation has been shared between teams in high- and low- or middle-income countries (LMICs). In this [...]
Author(s): Fraser, Hamish S F, Zahiri, Keyana, Kim, Nicole, Kim, Chloe, Craig, Sansanee
DOI: 10.1093/jamia/ocad024
Patients and families are key partners in diagnosis, but methods to routinely engage them in diagnostic safety are lacking. Policy mandating patient access to electronic health information presents new opportunities. We tested a new online tool ("OurDX") that was codesigned with patients and families, to determine the types and frequencies of potential safety issues identified by patients/families with chronic health conditions and whether their contributions were integrated into the visit [...]
Author(s): Bell, Sigall K, Dong, Zhiyong J, Desroches, Catherine M, Hart, Nicholas, Liu, Stephen, Mahon, Brianna, Ngo, Long H, Thomas, Eric J, Bourgeois, Fabienne
DOI: 10.1093/jamia/ocad003