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Journal of the American Medical Informatics Association: JAMIA

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https://www.readbyqxmd.com/read/28645207/development-and-validation-of-an-electronic-medical-record-emr-based-computed-phenotype-of-hiv-1-infection
#1
Devon W Paul, Nigel B Neely, Meredith Clement, Isaretta Riley, Mashael Al-Hegelan, Matthew Phelan, Monica Kraft, David M Murdoch, Joseph Lucas, John Bartlett, Mehri McKellar, Loretta G Que
Background: Electronic medical record (EMR) computed algorithms allow investigators to screen thousands of patient records to identify specific disease cases. No computed algorithms have been developed to detect all cases of human immunodeficiency virus (HIV) infection using administrative, laboratory, and clinical documentation data outside of the Veterans Health Administration. We developed novel EMR-based algorithms for HIV detection and validated them in a cohort of subjects in the Duke University Health System (DUHS)...
June 22, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28641385/development-of-an-electronic-medical-record-based-child-physical-abuse-alert-system
#2
Rachel P Berger, Richard A Saladino, Janet Fromkin, Emily Heineman, Srinivasan Suresh, Tom McGinn
Objective: Physical abuse is a leading cause of pediatric morbidity and mortality. Physicians do not consistently screen for abuse, even in high-risk situations. Alerts in the electronic medical record may help improve screening rates, resulting in early identification and improved outcomes. Methods: Triggers to identify children < 2 years old at risk for physical abuse were coded into the electronic medical record at a freestanding pediatric hospital with a level 1 trauma center...
June 21, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28637208/unit-conversions-between-loinc-codes
#3
Ronald G Hauser, Douglas B Quine, Alex Ryder, Sheldon Campbell
Logical Observation Identifiers Names and Codes (LOINC) is the most widely used controlled vocabulary to identify laboratory tests. A given laboratory test can often be reported in more than 1 unit of measure (eg, grams or moles), and LOINC defines unique codes for each unit. Consequently, an identical laboratory test performed by 2 different clinical laboratories may have different LOINC codes. The absence of unit conversions between compatible LOINC codes impedes data aggregation and analysis of laboratory results...
June 19, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28637180/participatory-design-of-probability-based-decision-support-tools-for-in-hospital-nurses
#4
Alvin D Jeffery, Laurie L Novak, Betsy Kennedy, Mary S Dietrich, Lorraine C Mion
Objective: To describe nurses' preferences for the design of a probability-based clinical decision support (PB-CDS) tool for in-hospital clinical deterioration. Methods: A convenience sample of bedside nurses, charge nurses, and rapid response nurses ( n  = 20) from adult and pediatric hospitals completed participatory design sessions with researchers in a simulation laboratory to elicit preferred design considerations for a PB-CDS tool. Following theme-based content analysis, we shared findings with user interface designers and created a low-fidelity prototype...
June 19, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28633483/an-informatics-research-agenda-to-support-patient-and-family-empowerment-and-engagement-in-care-and-recovery-during-and-after-hospitalization
#5
Sarah Collins, Patricia Dykes, David W Bates, Brittany Couture, Ronen Rozenblum, Jennifer Prey, Kristin O'Reilly, Patricia Q Bourie, Cindy Dwyer, S Ryan Greysen, Jeffery Smith, Michael Gropper, Anuj K Dalal
As part of an interdisciplinary acute care patient portal task force with members from 10 academic medical centers and professional organizations, we held a national workshop with 71 attendees representing over 30 health systems, professional organizations, and technology companies. Our consensus approach identified 7 key sociotechnical and evaluation research focus areas related to the consumption and capture of information from patients, care partners (eg, family, friends), and clinicians through portals in the acute and post-acute care settings...
June 17, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28591771/the-use-of-twitter-to-facilitate-sharing-of-clinical-expertise-in-urology
#6
Kevan M Sternberg, Stacy L Loeb, David Canes, Laura Donnelly, Mitchell H Tsai
The use of social media in the urologic community is common and increasing. Although the potential benefits of platforms like Twitter have been described in the literature, the use of social media in the clinical context of Urology has not been explored.In this case report, we describe how we used Twitter to share ideas about the clinical management of a complex urologic patient. By posting a clinical scenario, a timely discussion was generated with global participation and expert suggestions. This knowledge was applied to the surgical management of a patient with positive clinical outcomes...
June 7, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28575417/implications-of-electronic-health-record-downtime-an-analysis-of-patient-safety-event-reports
#7
Ethan Larsen, Allan Fong, Christian Wernz, Raj M Ratwani
Objective: We sought to understand the types of clinical processes, such as image and medication ordering, that are disrupted during electronic health record (EHR) downtime periods by analyzing the narratives of patient safety event report data. Materials and Methods: From a database of 80 381 event reports, 76 reports were identified as explicitly describing a safety event associated with an EHR downtime period. These reports were analyzed and categorized based on a developed code book to identify the clinical processes that were impacted by downtime...
May 30, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28575462/sharing-and-helping-predictors-of-adolescents-willingness-to-share-diabetes-personal-health-information-with-peers
#8
Sarah E Vaala, Joyce M Lee, Korey K Hood, Shelagh A Mulvaney
Objective: Sharing personal information about type 1 diabetes (T1D) can help adolescents obtain social support, enhance social learning, and improve self-care. Diabetes technologies, online communities, and health interventions increasingly feature data-sharing components. This study examines factors underlying adolescents' willingness to share personal T1D information with peers. Materials and Methods: Participants were 134 adolescents (12-17 years of age; 56% female) who completed an online survey regarding experiences helping others with T1D, perceived social resources, beliefs about the value of sharing information and helping others, and willingness to share T1D information...
May 29, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28541493/identifying-reports-of-randomized-controlled-trials-rcts-via-a-hybrid-machine-learning-and-crowdsourcing-approach
#9
Byron C Wallace, Anna Noel-Storr, Iain J Marshall, Aaron M Cohen, Neil R Smalheiser, James Thomas
Objectives: Identifying all published reports of randomized controlled trials (RCTs) is an important aim, but it requires extensive manual effort to separate RCTs from non-RCTs, even using current machine learning (ML) approaches. We aimed to make this process more efficient via a hybrid approach using both crowdsourcing and ML. Methods: We trained a classifier to discriminate between citations that describe RCTs and those that do not. We then adopted a simple strategy of automatically excluding citations deemed very unlikely to be RCTs by the classifier and deferring to crowdworkers otherwise...
May 25, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28541552/evidence-appraisal-a-scoping-review-conceptual-framework-and-research-agenda
#10
Andrew Goldstein, Eric Venker, Chunhua Weng
Objective: Critical appraisal of clinical evidence promises to help prevent, detect, and address flaws related to study importance, ethics, validity, applicability, and reporting. These research issues are of growing concern. The purpose of this scoping review is to survey the current literature on evidence appraisal to develop a conceptual framework and an informatics research agenda. Methods: We conducted an iterative literature search of Medline for discussion or research on the critical appraisal of clinical evidence...
May 24, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28535206/clinical-exome-sequencing-reports-current-informatics-practice-and-future-opportunities
#11
Rajeswari Swaminathan, Yungui Huang, Caroline Astbury, Sara Fitzgerald-Butt, Katherine Miller, Justin Cole, Christopher Bartlett, Simon Lin
The increased adoption of clinical whole exome sequencing (WES) has improved the diagnostic yield for patients with complex genetic conditions. However, the informatics practice for handling information contained in whole exome reports is still in its infancy, as evidenced by the lack of a common vocabulary within clinical sequencing reports generated across genetic laboratories. Genetic testing results are mostly transmitted using portable document format, which can make secondary analysis and data extraction challenging...
May 23, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28525558/electronic-clinical-quality-measure-reporting-challenges-findings-from-the-medicare-ehr-incentive-program-s-controlling-high-blood-pressure-measure
#12
Dawn M Heisey-Grove, Hilary K Wall, Janet S Wright
Objective: To identify physician and practice characteristics associated with high clinical and technical performance on the electronic clinical quality measure (eCQM) that calculates the proportion of patients with hypertension who have controlled blood pressure. Materials and Methods: The study included 268 602 physicians participating in the Medicare Electronic Health Record Incentive Program between 2011 and 2014. Independent variables included delivery reform participation and physician, practice level, and area characteristics...
May 19, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28520977/asynchronous-automated-electronic-laboratory-result-notifications-a-systematic-review
#13
Benjamin H Slovis, Thomas A Nahass, Hojjat Salmasian, Gilad Kuperman, David K Vawdrey
Objective: To systematically review the literature pertaining to asynchronous automated electronic notifications of laboratory results to clinicians. Methods: PubMed, Web of Science, and the Cochrane Collaboration were queried for studies pertaining to automated electronic notifications of laboratory results. A title review was performed on the primary results, with a further abstract review and full review to produce the final set of included articles. Results: The full review included 34 articles, representing 19 institutions...
May 18, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28505367/effect-of-health-information-exchange-on-recognition-of-medication-discrepancies-is-interrupted-when-data-charges-are-introduced-results-of-a-cluster-randomized-controlled-trial
#14
Kenneth S Boockvar, William Ho, Jennifer Pruskowski, Katherine E DiPalo, Jane J Wong, Jessica Patel, Jonathan R Nebeker, Rainu Kaushal, William Hung
Objectives: : To determine the effect of health information exchange (HIE) on medication prescribing for hospital inpatients in a cluster-randomized controlled trial, and to examine the prescribing effect of availability of information from a large pharmacy insurance plan in a natural experiment. Methods: : Patients admitted to an urban hospital received structured medication reconciliation by an intervention pharmacist with (intervention) or without (control) access to a regional HIE...
May 13, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28505320/graph-based-semi-supervised-learning-with-genomic-data-integration-using-condition-responsive-genes-applied-to-phenotype-classification
#15
Abolfazl Doostparast Torshizi, Linda R Petzold
Objective: Data integration methods that combine data from different molecular levels such as genome, epigenome, transcriptome, etc., have received a great deal of interest in the past few years. It has been demonstrated that the synergistic effects of different biological data types can boost learning capabilities and lead to a better understanding of the underlying interactions among molecular levels. Methods: In this paper we present a graph-based semi-supervised classification algorithm that incorporates latent biological knowledge in the form of biological pathways with gene expression and DNA methylation data...
May 13, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28505280/mining-e-cigarette-adverse-events-in-social-media-using-bi-lstm-recurrent-neural-network-with-word-embedding-representation
#16
Jiaheng Xie, Xiao Liu, Daniel Dajun Zeng
Objective: Recent years have seen increased worldwide popularity of e-cigarette use. However, the risks of e-cigarettes are underexamined. Most e-cigarette adverse event studies have achieved low detection rates due to limited subject sample sizes in the experiments and surveys. Social media provides a large data repository of consumers' e-cigarette feedback and experiences, which are useful for e-cigarette safety surveillance. However, it is difficult to automatically interpret the informal and nontechnical consumer vocabulary about e-cigarettes in social media...
May 13, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28505339/labrs-a-rosetta-stone-for-retrospective-standardization-of-clinical-laboratory-test-results
#17
Ronald George Hauser, Douglas B Quine, Alex Ryder
Objective: Clinical laboratories in the United States do not have an explicit result standard to report the 7 billion laboratory tests results they produce each year. The absence of standardized test results creates inefficiencies and ambiguities for secondary data users. We developed and tested a tool to standardize the results of laboratory tests in a large, multicenter clinical data warehouse. Methods: Laboratory records, each of which consisted of a laboratory result and a test identifier, from 27 diverse facilities were captured from 2000 through 2015...
May 12, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28472359/constructing-the-informatics-and-information-technology-foundations-of-a-medical-device-evaluation-system-a-report-from-the-fda-unique-device-identifier-demonstration
#18
Joseph P Drozda, James Roach, Thomas Forsyth, Paul Helmering, Benjamin Dummitt, James E Tcheng
Objective: The US Food and Drug Administration (FDA) has recognized the need to improve the tracking of medical device safety and performance, with implementation of Unique Device Identifiers (UDIs) in electronic health information as a key strategy. The FDA funded a demonstration by Mercy Health wherein prototype UDIs were incorporated into its electronic information systems. This report describes the demonstration's informatics architecture. Methods: Prototype UDIs for coronary stents were created and implemented across a series of information systems, resulting in UDI-associated data flow from manufacture through point of use to long-term follow-up, with barcode scanning linking clinical data with UDI-associated device attributes...
May 3, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28403381/advancing-healthcare-and-biomedical-research-via-new-data-driven-approaches
#19
Lucila Ohno-Machado
No abstract text is available yet for this article.
May 1, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28403380/developing-the-health-informatics-workforce-of-the-future-academic-and-industry-partners
#20
Douglas B Fridsma
No abstract text is available yet for this article.
May 1, 2017: Journal of the American Medical Informatics Association: JAMIA
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