Response to "My mom got diagnosed with cancer through the MyChart app".
Author(s): Gettinger, Andrew, Zayas-Cabán, Teresa
DOI: 10.1093/jamia/ocab223
Author(s): Gettinger, Andrew, Zayas-Cabán, Teresa
DOI: 10.1093/jamia/ocab223
Author(s): Shapiro, Aaron
DOI: 10.1093/jamia/ocab193
We address a first step toward using social media data to supplement current efforts in monitoring population-level medication nonadherence: detecting changes to medication treatment. Medication treatment changes, like changes to dosage or to frequency of intake, that are not overseen by physicians are, by that, nonadherence to medication. Despite the consequences, including worsening health conditions or death, 50% of patients are estimated to not take medications as indicated. Current methods [...]
Author(s): Weissenbacher, Davy, Ge, Suyu, Klein, Ari, O'Connor, Karen, Gross, Robert, Hennessy, Sean, Gonzalez-Hernandez, Graciela
DOI: 10.1093/jamia/ocab158
While the professional version of the Mobile App Rating Scale (MARS) has already been translated, and validated into the Spanish language, its user-centered counterpart has not yet been adapted. Furthermore, no other similar tools exist in the Spanish language. The aim of this paper is to adapt and validate User Version of the MARS (uMARS) into the Spanish language.
Author(s): Martin-Payo, Ruben, Carrasco-Santos, Sergio, Cuesta, Marcelino, Stoyan, Stoyan, Gonzalez-Mendez, Xana, Fernandez-Alvarez, María Del Mar
DOI: 10.1093/jamia/ocab216
Making EHR Data More Available for Research and Public Health (MedMorph) is a Centers for Disease Control and Prevention-led initiative developing and demonstrating a reference architecture (RA) and implementation, including Health Level Seven International Fast Healthcare Interoperability Resources (HL7 FHIR) implementation guides (IGs), describing how to leverage FHIR for aligned research and public health access to clinical data for automated data exchange. MedMorph engaged a technical expert panel of more [...]
Author(s): Michaels, Maria, Syed, Sameemuddin, Lober, William B
DOI: 10.1093/jamia/ocab210
The aim of this article was to describe a novel methodology for transforming complex nursing care plan data into meaningful variables to assess the impact of nursing care. We extracted standardized care plan data for older adults from the electronic health records of 4 hospitals. We created a palliative care framework with 8 categories. A subset of the data was manually classified under the framework, which was then used to [...]
Author(s): Macieira, Tamara G R, Yao, Yingwei, Keenan, Gail M
DOI: 10.1093/jamia/ocab205
Author(s): Bakken, Suzanne
DOI: 10.1093/jamia/ocab249
Over a 31-year span as Director of the US National Library of Medicine (NLM), Donald A.B. Lindberg, MD, and his extraordinary NLM colleagues fundamentally changed the field of biomedical and health informatics-with a resulting impact on biomedicine that is much broader than its influence on any single subfield. This article provides substance to bolster that claim. The review is based in part on the informatics section of a new book [...]
Author(s): Miller, Randolph A, Shortliffe, Edward H
DOI: 10.1093/jamia/ocab245
Excessive electronic health record (EHR) alerts reduce the salience of actionable alerts. Little is known about the frequency of interruptive alerts across health systems and how the choice of metric affects which users appear to have the highest alert burden.
Author(s): Orenstein, Evan W, Kandaswamy, Swaminathan, Muthu, Naveen, Chaparro, Juan D, Hagedorn, Philip A, Dziorny, Adam C, Moses, Adam, Hernandez, Sean, Khan, Amina, Huth, Hannah B, Beus, Jonathan M, Kirkendall, Eric S
DOI: 10.1093/jamia/ocab179
To examine the effectiveness of event notification service (ENS) alerts on health care delivery processes and outcomes for older adults.
Author(s): Dixon, Brian E, Judon, Kimberly M, Schwartzkopf, Ashley L, Guerrero, Vivian M, Koufacos, Nicholas S, May, Justine, Schubert, Cathy C, Boockvar, Kenneth S
DOI: 10.1093/jamia/ocab189