Erratum to: Digital phenotyping and sensitive health data: Implications for data governance.
Author(s): Perez-Pozuelo, Ignacio, Spathis, Dimitris, Gifford-Moore, Jordan, Morley, Jessica, Cowls, Josh
DOI: 10.1093/jamia/ocab198
Author(s): Perez-Pozuelo, Ignacio, Spathis, Dimitris, Gifford-Moore, Jordan, Morley, Jessica, Cowls, Josh
DOI: 10.1093/jamia/ocab198
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
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
Social determinants of health (SDoH) are nonclinical dispositions that impact patient health risks and clinical outcomes. Leveraging SDoH in clinical decision-making can potentially improve diagnosis, treatment planning, and patient outcomes. Despite increased interest in capturing SDoH in electronic health records (EHRs), such information is typically locked in unstructured clinical notes. Natural language processing (NLP) is the key technology to extract SDoH information from clinical text and expand its utility in [...]
Author(s): Patra, Braja G, Sharma, Mohit M, Vekaria, Veer, Adekkanattu, Prakash, Patterson, Olga V, Glicksberg, Benjamin, Lepow, Lauren A, Ryu, Euijung, Biernacka, Joanna M, Furmanchuk, Al'ona, George, Thomas J, Hogan, William, Wu, Yonghui, Yang, Xi, Bian, Jiang, Weissman, Myrna, Wickramaratne, Priya, Mann, J John, Olfson, Mark, Campion, Thomas R, Weiner, Mark, Pathak, Jyotishman
DOI: 10.1093/jamia/ocab170
Injured extremities commonly need to be immobilized by casts to allow proper healing. We propose a method to suppress cast superimpositions in pediatric wrist radiographs based on the cycle generative adversarial network (CycleGAN) model. We retrospectively reviewed unpaired pediatric wrist radiographs (n = 9672) and sampled them into 2 equal groups, with and without cast. The test subset consisted of 718 radiographs with cast. We evaluated different quadratic input sizes (256, 512 [...]
Author(s): Hržić, Franko, Žužić, Ivana, Tschauner, Sebastian, Štajduhar, Ivan
DOI: 10.1093/jamia/ocab192
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
Large amounts of health data are becoming available for biomedical research. Synthesizing information across databases may capture more comprehensive pictures of patient health and enable novel research studies. When no gold standard mappings between patient records are available, researchers may probabilistically link records from separate databases and analyze the linked data. However, previous linked data inference methods are constrained to certain linkage settings and exhibit low power. Here, we present [...]
Author(s): Zhang, Harrison G, Hejblum, Boris P, Weber, Griffin M, Palmer, Nathan P, Churchill, Susanne E, Szolovits, Peter, Murphy, Shawn N, Liao, Katherine P, Kohane, Isaac S, Cai, Tianxi
DOI: 10.1093/jamia/ocab187
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
Clinical decision support systems, which provide automated reminders in electronic health systems, are designed to provide physicians and other health professionals support in clinical decision-making. New clinical guidance from the Advisory Committee on Immunization Practices on a new category of recommendations referred to as "shared clinical decision-making" have left providers struggling to interpret how to best implement recommendations for adult vaccines. The issue at hand is how to ensure that [...]
Author(s): Shen, Angela K, Michel, Jeremey J, Langford, Aisha T, Sobczyk, Elizabeth A
DOI: 10.1093/jamia/ocab147