[This retracts the article DOI: 10.1093/jamiaopen/ooad090.].
Author(s):
DOI: 10.1093/jamiaopen/ooae036
Absolute risk models estimate an individual's future disease risk over a specified time interval. Applications utilizing server-side risk tooling, the R-based iCARE (R-iCARE), to build, validate, and apply absolute risk models, face limitations in portability and privacy due to their need for circulating user data in remote servers for operation. We overcome this by porting iCARE to the web platform.
Author(s): Balasubramanian, Jeya Balaji, Choudhury, Parichoy Pal, Mukhopadhyay, Srijon, Ahearn, Thomas, Chatterjee, Nilanjan, García-Closas, Montserrat, Almeida, Jonas S
DOI: 10.1093/jamiaopen/ooae055
[This corrects the article DOI: 10.1093/jamiaopen/ooae029.].
Author(s):
DOI: 10.1093/jamiaopen/ooae046
We introduce the Bitemporal Lens Model, a comprehensive methodology for chronic disease prevention using digital biomarkers.
Author(s): Barata, Filipe, Shim, Jinjoo, Wu, Fan, Langer, Patrick, Fleisch, Elgar
DOI: 10.1093/jamiaopen/ooae027
Decision support can improve shared decision-making for breast cancer treatment, but workflow barriers have hindered widespread use of these tools. The goal of this study was to understand the workflow among breast cancer teams of clinicians, patients, and their family caregivers when making treatment decisions and identify design guidelines for informatics tools to better support treatment decision-making.
Author(s): Salwei, Megan E, Reale, Carrie
DOI: 10.1093/jamiaopen/ooae053
To enable reproducible research at scale by creating a platform that enables health data users to find, access, curate, and re-use electronic health record phenotyping algorithms.
Author(s): Thayer, Daniel S, Mumtaz, Shahzad, Elmessary, Muhammad A, Scanlon, Ieuan, Zinnurov, Artur, Coldea, Alex-Ioan, Scanlon, Jack, Chapman, Martin, Curcin, Vasa, John, Ann, DelPozo-Banos, Marcos, Davies, Hannah, Karwath, Andreas, Gkoutos, Georgios V, Fitzpatrick, Natalie K, Quint, Jennifer K, Varma, Susheel, Milner, Chris, Oliveira, Carla, Parkinson, Helen, Denaxas, Spiros, Hemingway, Harry, Jefferson, Emily
DOI: 10.1093/jamiaopen/ooae049
The Multi-State EHR-Based Network for Disease Surveillance (MENDS) is a population-based chronic disease surveillance distributed data network that uses institution-specific extraction-transformation-load (ETL) routines. MENDS-on-FHIR examined using Health Language Seven's Fast Healthcare Interoperability Resources (HL7® FHIR®) and US Core Implementation Guide (US Core IG) compliant resources derived from the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) to create a standards-based ETL pipeline.
Author(s): Essaid, Shahim, Andre, Jeff, Brooks, Ian M, Hohman, Katherine H, Hull, Madelyne, Jackson, Sandra L, Kahn, Michael G, Kraus, Emily M, Mandadi, Neha, Martinez, Amanda K, Mui, Joyce Y, Zambarano, Bob, Soares, Andrey
DOI: 10.1093/jamiaopen/ooae045
Natural language processing (NLP) can enhance research on activities of daily living (ADL) by extracting structured information from unstructured electronic health records (EHRs) notes. This review aims to give insight into the state-of-the-art, usability, and performance of NLP systems to extract information on ADL from EHRs.
Author(s): Wieland-Jorna, Yvonne, van Kooten, Daan, Verheij, Robert A, de Man, Yvonne, Francke, Anneke L, Oosterveld-Vlug, Mariska G
DOI: 10.1093/jamiaopen/ooae044
[This corrects the article DOI: 10.1093/jamiaopen/ooae003.].
Author(s):
DOI: 10.1093/jamiaopen/ooae030
A data commons is a software platform for managing, curating, analyzing, and sharing data with a community. The Pandemic Response Commons (PRC) is a data commons designed to provide a data platform for researchers studying an epidemic or pandemic.
Author(s): Trunnell, Matthew, Frankenberger, Casey, Hota, Bala, Hughes, Troy, Martinov, Plamen, Ravichandran, Urmila, Shah, Nirav S, Grossman, Robert L, ,
DOI: 10.1093/jamiaopen/ooae025