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Journal of the American Medical Informatics Association: JAMIA

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https://www.readbyqxmd.com/read/28541493/identifying-reports-of-randomized-controlled-trials-rcts-via-a-hybrid-machine-learning-and-crowdsourcing-approach
#1
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
#2
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
#3
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
#4
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
#5
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
#6
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
#7
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
#8
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
#9
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
#10
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/28460042/information-technology-to-support-patient-engagement-where-do-we-stand-and-where-can-we-go
#11
Daniel M Walker, Cynthia J Sieck, Terri Menser, Timothy R Huerta, Ann Scheck McAlearney
Objective: Given the strong push to empower patients and make them partners in their health care, we evaluated the current capability of hospitals to offer health information technology that facilitates patient engagement (PE). Materials and Methods: Using an ontology mapping approach, items from the American Hospital Association Information Technology Supplement were mapped to defined levels and categories within the PE Framework. Points were assigned for each health information technology function based upon the level of engagement it encompassed to create a PE-information technology (PE-IT) score...
April 28, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28460130/patient-and-provider-perspectives-on-the-potential-value-and-use-of-a-bilingual-online-patient-portal-in-a-spanish-speaking-safety-net-population
#12
Alejandro Ochoa, Ken Kitayama, Sebastian Uijtdehaage, Michelle Vermillion, Michael Eaton, Felix Carpio, Martin Serota, Michael E Hochman
Objective: To assess patient and provider perspectives on the potential value and use of a bilingual patient portal in a large safety-net health system serving predominantly Spanish-speaking patients. Materials and Methods: We captured patient and provider perspectives through the administration of surveys to assess Internet access, barriers, and facilitators to patient portal adoption, along with portal preferences. We report on these survey results using descriptive and comparative statistics...
April 27, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28460091/the-impact-of-home-care-nurses-numeracy-and-graph-literacy-on-comprehension-of-visual-display-information-implications-for-dashboard-design
#13
Dawn Dowding, Jacqueline A Merrill, Nicole Onorato, Yolanda Barrón, Robert J Rosati, David Russell
Objective: To explore home care nurses' numeracy and graph literacy and their relationship to comprehension of visualized data. Materials and Methods: A multifactorial experimental design using online survey software. Nurses were recruited from 2 Medicare-certified home health agencies. Numeracy and graph literacy were measured using validated scales. Nurses were randomized to 1 of 4 experimental conditions. Each condition displayed data for 1 of 4 quality indicators, in 1 of 4 different visualized formats (bar graph, line graph, spider graph, table)...
April 27, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28453637/automated-identification-of-implausible-values-in-growth-data-from-pediatric-electronic-health-records
#14
Carrie Daymont, Michelle E Ross, A Russell Localio, Alexander G Fiks, Richard C Wasserman, Robert W Grundmeier
Objective: Large electronic health record (EHR) datasets are increasingly used to facilitate research on growth, but measurement and recording errors can lead to biased results. We developed and tested an automated method for identifying implausible values in pediatric EHR growth data. Materials and Methods: Using deidentified data from 46 primary care sites, we developed an algorithm to identify weight and height values that should be excluded from analysis, including implausible values and values that were recorded repeatedly without remeasurement...
April 26, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28449047/what-s-buzzing-on-your-feed-health-authorities-use-of-facebook-to-combat-zika-in-singapore
#15
Santosh Vijaykumar, Rianne Wally Meurzec, Karthikayen Jayasundar, Claudia Pagliari, Yohan Fernandopulle
In 2016, Singapore grappled with one of the largest Zika outbreaks in Southeast Asia. This study examines the use of Facebook for Zika-related outreach by the Ministry of Health (MOH) and the National Environmental Agency (NEA) from March 1, 2015, to September 1, 2016, and public response to this effort. Despite nearly equivalent outreach, MOH's Facebook posts received more likes (µ = 3.49) and shares (µ = 30.11), whereas NEA's posts received more comments (µ = 4.55), with NEA posting mostly on prevention (N = 30) and MOH on situational updates (N = 24)...
April 25, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28444383/optimizing-drug-dose-alerts-using-commercial-software-throughout-an-integrated-health-care-system
#16
Salim M Saiyed, Peter J Greco, Glenn Fernandes, David C Kaelber
All default electronic health record and drug reference database vendor drug-dose alerting recommendations (single dose, daily dose, dose frequency, and dose duration) were silently turned on in inpatient, outpatient, and emergency department areas for pediatric-only and nonpediatric-only populations. Drug-dose alerts were evaluated during a 3-month period. Drug-dose alerts fired on 12% of orders (104 098/834 911). System-level and drug-specific strategies to decrease drug-dose alerts were analyzed. System-level strategies included: (1) turning off all minimum drug-dosing alerts, (2) turning off all incomplete information drug-dosing alerts, (3) increasing the maximum single-dose drug-dose alert threshold to 125%, (4) increasing the daily dose maximum drug-dose alert threshold to 125%, and (5) increasing the dose frequency drug-dose alert threshold to more than 2 doses per day above initial threshold...
April 24, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28444213/representation-of-occupational-information-across-resources-and-validation-of-the-occupational-data-for-health-model
#17
Sripriya Rajamani, Elizabeth S Chen, Elizabeth Lindemann, Ranyah Aldekhyyel, Yan Wang, Genevieve B Melton
Reports by the National Academy of Medicine and leading public health organizations advocate including occupational information as part of an individual's social context. Given recent National Academy of Medicine recommendations on occupation-related data in the electronic health record, there is a critical need for improved representation. The National Institute for Occupational Safety and Health has developed an Occupational Data for Health (ODH) model, currently in draft format. This study aimed to validate the ODH model by mapping occupation-related elements from resources representing recommendations, standards, public health reports and surveys, and research measures, along with preliminary evaluation of associated value sets...
April 22, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28444384/e-science-technologies-in-a-workflow-for-personalized-medicine-using-cancer-screening-as-a-case-study
#18
Ola Spjuth, Andreas Karlsson, Mark Clements, Keith Humphreys, Emma Ivansson, Jim Dowling, Martin Eklund, Alexandra Jauhiainen, Kamila Czene, Henrik Grönberg, Pär Sparén, Fredrik Wiklund, Abbas Cheddad, Þorgerður Pálsdóttir, Mattias Rantalainen, Linda Abrahamsson, Erwin Laure, Jan-Eric Litton, Juni Palmgren
Objective: We provide an e-Science perspective on the workflow from risk factor discovery and classification of disease to evaluation of personalized intervention programs. As case studies, we use personalized prostate and breast cancer screenings. Materials and Methods: We describe an e-Science initiative in Sweden, e-Science for Cancer Prevention and Control (eCPC), which supports biomarker discovery and offers decision support for personalized intervention strategies...
April 21, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28419267/a-national-survey-assessing-the-number-of-records-allowed-open-in-electronic-health-records-at-hospitals-and-ambulatory-sites
#19
Jason S Adelman, Matthew A Berger, Amisha Rai, William L Galanter, Bruce L Lambert, Gordon D Schiff, David K Vawdrey, Robert A Green, Hojjat Salmasian, Ross Koppel, Clyde B Schechter, Jo R Applebaum, William N Southern
To reduce the risk of wrong-patient errors, safety experts recommend limiting the number of patient records providers can open at once in electronic health records (EHRs). However, it is unknown whether health care organizations follow this recommendation or what rationales drive their decisions. To address this gap, we conducted an electronic survey via 2 national listservs. Among 167 inpatient and outpatient study facilities using EHR systems designed to open multiple records at once, 44.3% were configured to allow ≥3 records open at once (unrestricted), 38...
April 17, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28419261/challenges-in-adapting-existing-clinical-natural-language-processing-systems-to-multiple-diverse-health-care-settings
#20
David S Carrell, Robert E Schoen, Daniel A Leffler, Michele Morris, Sherri Rose, Andrew Baer, Seth D Crockett, Rebecca A Gourevitch, Katie M Dean, Ateev Mehrotra
Objective: Widespread application of clinical natural language processing (NLP) systems requires taking existing NLP systems and adapting them to diverse and heterogeneous settings. We describe the challenges faced and lessons learned in adapting an existing NLP system for measuring colonoscopy quality. Materials and Methods: Colonoscopy and pathology reports from 4 settings during 2013-2015, varying by geographic location, practice type, compensation structure, and electronic health record...
April 17, 2017: Journal of the American Medical Informatics Association: JAMIA
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