journal
MENU ▼
Read by QxMD icon Read
search

Journal of the American Medical Informatics Association: JAMIA

journal
https://www.readbyqxmd.com/read/30624645/integrating-ontologies-of-human-diseases-phenotypes-and-radiological-diagnosis
#1
Michael T Finke, Ross W Filice, Charles E Kahn
Mappings between ontologies enable reuse and interoperability of biomedical knowledge. The Radiology Gamuts Ontology (RGO)-an ontology of 16 918 diseases, interventions, and imaging observations-provides a resource for differential diagnosis and automated textual report understanding in radiology. An automated process with subsequent manual review was used to identify exact and partial matches of RGO entities to the Disease Ontology (DO) and the Human Phenotype Ontology (HPO). Exact mappings identified equivalent concepts; partial mappings identified subclass and superclass relationships...
January 8, 2019: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30602031/natural-language-processing-and-machine-learning-to-identify-alcohol-misuse-from-the-electronic-health-record-in-trauma-patients-development-and-internal-validation
#2
Majid Afshar, Andrew Phillips, Niranjan Karnik, Jeanne Mueller, Daniel To, Richard Gonzalez, Ron Price, Richard Cooper, Cara Joyce, Dmitriy Dligach
Objective: Alcohol misuse is present in over a quarter of trauma patients. Information in the clinical notes of the electronic health record of trauma patients may be used for phenotyping tasks with natural language processing (NLP) and supervised machine learning. The objective of this study is to train and validate an NLP classifier for identifying patients with alcohol misuse. Materials and Methods: An observational cohort of 1422 adult patients admitted to a trauma center between April 2013 and November 2016...
January 2, 2019: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30602020/robust-clinical-marker-identification-for-diabetic-kidney-disease-with-ensemble-feature-selection
#3
Xing Song, Lemuel R Waitman, Yong Hu, Alan S L Yu, David Robins, Mei Liu
Objective: Diabetic kidney disease (DKD) is one of the most frequent complications in diabetes associated with substantial morbidity and mortality. To accelerate DKD risk factor discovery, we present an ensemble feature selection approach to identify a robust set of discriminant factors using electronic medical records (EMRs). Material and Methods: We identified a retrospective cohort of 15 645 adult patients with type 2 diabetes, excluding those with pre-existing kidney disease, and utilized all available clinical data types in modeling...
January 2, 2019: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30597001/twenty-five-years-of-national-health-it-exploring-strategy-structure-and-systems-in-the-english-nhs
#4
Colin Price, William Green, Olga Suhomlinova
Objective: There is global interest in implementing national information systems to support healthcare, and the National Health Service in England (NHS) has a troubled 25-year history in this sphere. Our objective was to chronicle structural reorganizations within the NHS from 1973 to 2017, alongside concurrent national information technology (IT) strategies, as the basis for developing a conceptual model to aid understanding of the organizational factors involved. Materials and Methods: We undertook an exploratory, retrospective longitudinal case study by reviewing strategic plans, legislation, and health policy documents, and constructed schemata for evolving structure and strategy...
December 28, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30590688/enrichment-sampling-for-a-multi-site-patient-survey-using-electronic-health-records-and-census-data
#5
Nathaniel D Mercaldo, Kyle B Brothers, David S Carrell, Ellen W Clayton, John J Connolly, Ingrid A Holm, Carol R Horowitz, Gail P Jarvik, Terrie E Kitchner, Rongling Li, Catherine A McCarty, Jennifer B McCormick, Valerie D McManus, Melanie F Myers, Joshua J Pankratz, Martha J Shrubsole, Maureen E Smith, Sarah C Stallings, Janet L Williams, Jonathan S Schildcrout
Objective: We describe a stratified sampling design that combines electronic health records (EHRs) and United States Census (USC) data to construct the sampling frame and an algorithm to enrich the sample with individuals belonging to rarer strata. Materials and Methods: This design was developed for a multi-site survey that sought to examine patient concerns about and barriers to participating in research studies, especially among under-studied populations (eg, minorities, low educational attainment)...
December 27, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30590613/classifying-relations-in-clinical-narratives-using-segment-graph-convolutional-and-recurrent-neural-networks-seg-gcrns
#6
Yifu Li, Ran Jin, Yuan Luo
We propose to use segment graph convolutional and recurrent neural networks (Seg-GCRNs), which use only word embedding and sentence syntactic dependencies, to classify relations from clinical notes without manual feature engineering. In this study, the relations between 2 medical concepts are classified by simultaneously learning representations of text segments in the context of sentence syntactic dependency: preceding, concept1, middle, concept2, and succeeding segments. Seg-GCRN was systematically evaluated on the i2b2/VA relation classification challenge datasets...
December 27, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30590757/an-expandable-approach-for-design-and-personalization-of-digital-just-in-time-adaptive-interventions
#7
Suat Gonul, Tuncay Namli, Sasja Huisman, Gokce Banu Laleci Erturkmen, Ismail Hakki Toroslu, Ahmet Cosar
Objective: We aim to deliver a framework with 2 main objectives: 1) facilitating the design of theory-driven, adaptive, digital interventions addressing chronic illnesses or health problems and 2) producing personalized intervention delivery strategies to support self-management by optimizing various intervention components tailored to people's individual needs, momentary contexts, and psychosocial variables. Materials and Methods: We propose a template-based digital intervention design mechanism enabling the configuration of evidence-based, just-in-time, adaptive intervention components...
December 24, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30590574/pharmacogenomic-clinical-decision-support-design-and-multi-site-process-outcomes-analysis-in-the-emerge-network
#8
Timothy M Herr, Josh F Peterson, Luke V Rasmussen, Pedro J Caraballo, Peggy L Peissig, Justin B Starren
To better understand the real-world effects of pharmacogenomic (PGx) alerts, this study aimed to characterize alert design within the eMERGE Network, and to establish a method for sharing PGx alert response data for aggregate analysis. Seven eMERGE sites submitted design details and established an alert logging data dictionary. Six sites participated in a pilot study, sharing alert response data from their electronic health record systems. PGx alert design varied, with some consensus around the use of active, post-test alerts to convey Clinical Pharmacogenetics Implementation Consortium recommendations...
December 24, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30590557/cranky-comments-detecting-clinical-decision-support-malfunctions-through-free-text-override-reasons
#9
Skye Aaron, Dustin S McEvoy, Soumi Ray, Thu-Trang T Hickman, Adam Wright
Background: Rule-base clinical decision support alerts are known to malfunction, but tools for discovering malfunctions are limited. Objective: Investigate whether user override comments can be used to discover malfunctions. Methods: We manually classified all rules in our database with at least 10 override comments into 3 categories based on a sample of override comments: "broken," "not broken, but could be improved," and "not broken...
December 24, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30590550/designing-a-medication-timeline-for-patients-and-physicians
#10
Jeffery L Belden, Pete Wegier, Jennifer Patel, Andrew Hutson, Catherine Plaisant, Joi L Moore, Nathan J Lowrance, Suzanne A Boren, Richelle J Koopman
Objective: Most electronic health records display historical medication information only in a data table or clinician notes. We designed a medication timeline visualization intended to improve ease of use, speed, and accuracy in the ambulatory care of chronic disease. Materials and Methods: We identified information needs for understanding a patient medication history, then applied human factors and interaction design principles to support that process. After research and analysis of existing medication lists and timelines to guide initial requirements, we hosted design workshops with multidisciplinary stakeholders to expand on our initial concepts...
December 24, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30590540/doing-what-matters-most
#11
Suzanne Bakken
No abstract text is available yet for this article.
December 24, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30576561/clinicians-reasoning-as-reflected-in-electronic-clinical-note-entry-and-reading-retrieval-a-systematic-review-and-qualitative-synthesis
#12
Tiago K Colicchio, James J Cimino
Objective: To describe the literature exploring the use of electronic health record (EHR) systems to support creation and use of clinical documentation to guide future research. Materials and Methods: We searched databases including MEDLINE, Scopus, and CINAHL from inception to April 20, 2018, for studies applying qualitative or mixed-methods examining EHR use to support creation and use of clinical documentation. A qualitative synthesis of included studies was undertaken...
December 20, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30576557/people-powered-data-collaboratives-fueling-data-science-with-the-health-related-experiences-of-individuals
#13
Barbara J Evans, Harlan M Krumholz
The creation of people-driven data collaboratives, with governance structures that enable participants to have a meaningful voice in issues surrounding the use of their own data, is a novel strategy to harness our growing capacity to develop and maintain immense data assets from the real health experiences of individuals.
December 20, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30566630/impact-of-document-consolidation-on-healthcare-providers-perceived-workload-and-information-reconciliation-tasks-a-mixed-methods-study
#14
Masoud Hosseini, Anthony Faiola, Josette Jones, Daniel J Vreeman, Huanmei Wu, Brian E Dixon
Background: Information reconciliation is a common yet complex and often time-consuming task performed by healthcare providers. While electronic health record systems can receive "outside information" about a patient in electronic documents, rarely does the computer automate reconciling information about a patient across all documents. Materials and Methods: Using a mixed methods design, we evaluated an information system designed to reconcile information across multiple electronic documents containing health records for a patient received from a health information exchange (HIE) network...
December 19, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30544163/electronic-cigarette-usage-patterns-a-case-study-combining-survey-and-social-media-data
#15
Yongcheng Zhan, Jean-François Etter, Scott Leischow, Daniel Zeng
Objective: To identify who were social media active e-cigarette users, to compare the use patterns from both survey and social media data for data triangulation, and to jointly use both datasets to conduct a comprehensive analysis on e-cigarette future use intentions. Materials and Methods: We jointly used an e-cigarette use online survey (n = 5132) and a social media dataset. We conducted analysis from 3 different perspectives. We analyzed online forum participation patterns using survey data...
December 13, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30535356/development-and-user-evaluation-of-a-rare-disease-gene-prioritization-workflow-based-on-cognitive-ergonomics
#16
Jessica J Y Lee, Clara D M van Karnebeek, Wyeth W Wasserman
Objective: The clinical diagnosis of genetic disorders is undergoing transformation, driven by whole exome sequencing and whole genome sequencing (WES/WGS). However, such nucleotide-level resolution technologies create an interpretive challenge. Prior literature suggests that clinicians may employ characteristic cognitive processes during WES/WGS investigations to identify disruptions in genes causal for the observed disease. Based on cognitive ergonomics, we designed and evaluated a gene prioritization workflow that supported these cognitive processes...
December 7, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30535152/information-visualizations-of-symptom-information-for-patients-and-providers-a-systematic-review
#17
Maichou Lor, Theresa A Koleck, Suzanne Bakken
Objective: To systematically synthesize the literature on information visualizations of symptoms included as National Institute of Nursing Research common data elements and designed for use by patients and/or healthcare providers. Methods: We searched CINAHL, Engineering Village, PsycINFO, PubMed, ACM Digital Library, and IEEE Explore Digital Library to identify peer-reviewed studies published between 2007 and 2017. We evaluated the studies using the Mixed Methods Appraisal Tool (MMAT) and a visualization quality score, and organized evaluation findings according to the Health Information Technology Usability Evaluation Model...
December 7, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30535151/synthesizing-electronic-health-records-using-improved-generative-adversarial-networks
#18
Mrinal Kanti Baowaly, Chia-Ching Lin, Chao-Lin Liu, Kuan-Ta Chen
Objective: The aim of this study was to generate synthetic electronic health records (EHRs). The generated EHR data will be more realistic than those generated using the existing medical Generative Adversarial Network (medGAN) method. Materials and Methods: We modified medGAN to obtain two synthetic data generation models-designated as medical Wasserstein GAN with gradient penalty (medWGAN) and medical boundary-seeking GAN (medBGAN)-and compared the results obtained using the three models...
December 7, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30534990/engaging-hospitalized-patients-with-personalized-health-information-a-randomized-trial-of-an-inpatient-portal
#19
Ruth M Masterson Creber, Lisa V Grossman, Beatriz Ryan, Min Qian, Fernanda C G Polubriaginof, Susan Restaino, Suzanne Bakken, George Hripcsak, David K Vawdrey
Objective: To determine the effects of an inpatient portal intervention on patient activation, patient satisfaction, patient engagement with health information, and 30-day hospital readmissions. Methods and Materials: From March 2014 to May 2017, we enrolled 426 English- or Spanish-speaking patients from 2 cardiac medical-surgical units at an urban academic medical center. Patients were randomized to 1 of 3 groups: 1) usual care, 2) tablet with general Internet access (tablet-only), and 3) tablet with an inpatient portal...
December 7, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/30517663/physician-stress-and-burnout-the-impact-of-health-information-technology
#20
Rebekah L Gardner, Emily Cooper, Jacqueline Haskell, Daniel A Harris, Sara Poplau, Philip J Kroth, Mark Linzer
Objective: To quantify how stress related to use of health information technology (HIT) predicts burnout among physicians. Methods: All 4197 practicing physicians in Rhode Island were surveyed in 2017 on their HIT use. Our main outcome was self-reported burnout. The presence of HIT-related stress was defined by report of at least 1 of the following: poor/marginal time for documentation, moderately high/excessive time spent on the electronic health record (EHR) at home, and agreement that using an EHR adds to daily frustration...
December 5, 2018: Journal of the American Medical Informatics Association: JAMIA
journal
journal
31917
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"