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Journal of the American Medical Informatics Association: JAMIA

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https://www.readbyqxmd.com/read/29140434/managing-public-health-data-mobile-applications-and-mass-vaccination-campaigns
#1
Melissa W McClung, Sarah A Gumm, Megan E Bisek, Amber L Miller, Bryan C Knepper, Arthur J Davidson
In response to data collection challenges during mass immunization events, Denver Public Health developed a mobile application to support efficient public health immunization and prophylaxis activities. The Handheld Automated Notification for Drugs and Immunizations (HANDI) system has been used since 2012 to capture influenza vaccination data during Denver Health's annual employee influenza campaign. HANDI has supported timely and efficient administration and reporting of influenza vaccinations through standardized data capture and database entry...
November 13, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29136182/assessing-privacy-risks-in-population-health-publications-using-a-checklist-based-approach
#2
Christine M O'Keefe, Adrien Ickowicz, Tim Churches, Mark Westcott, Maree O'Sullivan, Atikur Khan
Objective: Recent growth in the number of population health researchers accessing detailed datasets, either on their own computers or through virtual data centers, has the potential to increase privacy risks. In response, a checklist for identifying and reducing privacy risks in population health analysis outputs has been proposed for use by researchers themselves. In this study we explore the usability and reliability of such an approach by investigating whether different users identify the same privacy risks on applying the checklist to a sample of publications...
November 10, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29126118/decentralized-and-reproducible-geocoding-and-characterization-of-community-and-environmental-exposures-for-multisite-studies
#3
Cole Brokamp, Chris Wolfe, Todd Lingren, John Harley, Patrick Ryan
Objective: Geocoding and characterizing geographic, community, and environmental characteristics of study participants is frequently done in epidemiological studies. However, participant addresses are identifiable protected health information (PHI) and geocoding must be conducted in a Health Insurance Portability and Accountability Act-compliant manner. Our objective was to create a software application for this process that addresses limitations in current approaches. Materials and Methods: We used a containerization platform to create DeGAUSS (Decentralized Geomarker Assessment for Multi-Site Studies), a software application that facilitates reproducible geocoding and geomarker assessment while maintaining the confidentiality of PHI...
November 8, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29121197/higher-accuracy-of-complex-medication-reconciliation-through-improved-design-of-electronic-tools
#4
Jan Horsky, Elizabeth A Drucker, Harley Z Ramelson
Objective: Investigate the accuracy of 2 different medication reconciliation tools integrated into electronic health record systems (EHRs) using a cognitively demanding scenario and complex medication history. Materials and Methods: Seventeen physicians reconciled medication lists for a polypharmacy patient using 2 EHRs in a simulation study. The lists contained 3 types of discrepancy and were transmitted between the systems via a Continuity of Care Document. Participants updated each EHR and their interactions were recorded and analyzed for the number and type of errors...
November 7, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29126196/interface-information-interaction-a-narrative-review-of-design-and-functional-requirements-for-clinical-decision-support
#5
Kristen Miller, Danielle Mosby, Muge Capan, Rebecca Kowalski, Raj Ratwani, Yaman Noaiseh, Rachel Kraft, Sanford Schwartz, William S Weintraub, Ryan Arnold
Objective: Provider acceptance and associated patient outcomes are widely discussed in the evaluation of clinical decision support systems (CDSSs), but critical design criteria for tools have generally been overlooked. The objective of this work is to inform electronic health record alert optimization and clinical practice workflow by identifying, compiling, and reporting design recommendations for CDSS to support the efficient, effective, and timely delivery of high-quality care. Material and Methods: A narrative review was conducted from 2000 to 2016 in PubMed and The Journal of Human Factors and Ergonomics Society to identify papers that discussed/recommended design features of CDSSs that are associated with the success of these systems...
November 6, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29126237/corrigendum
#6
(no author information available yet)
No abstract text is available yet for this article.
November 4, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29126276/erratum-to-evaluation-of-an-electronic-health-record-supported-obesity-management-protocol-implemented-in-a-community-health-center-a-cautionary-note
#7
(no author information available yet)
No abstract text is available yet for this article.
November 3, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29126253/enabling-phenotypic-big-data-with-phenorm
#8
Sheng Yu, Yumeng Ma, Jessica Gronsbell, Tianrun Cai, Ashwin N Ananthakrishnan, Vivian S Gainer, Susanne E Churchill, Peter Szolovits, Shawn N Murphy, Isaac S Kohane, Katherine P Liao, Tianxi Cai
Objective: Electronic health record (EHR)-based phenotyping infers whether a patient has a disease based on the information in his or her EHR. A human-annotated training set with gold-standard disease status labels is usually required to build an algorithm for phenotyping based on a set of predictive features. The time intensiveness of annotation and feature curation severely limits the ability to achieve high-throughput phenotyping. While previous studies have successfully automated feature curation, annotation remains a major bottleneck...
November 3, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29106585/development-of-the-phast-model-generating-standard-public-health-services-data-and-evidence-for-decision-making
#9
Betty Bekemeier, Seungeun Park
Objective: Standardized data regarding the distribution, quality, reach, and variation in public health services provided at the community level and in wide use across states and communities do not exist. This leaves a major gap in our nation's understanding of the value of prevention activities and, in particular, the contributions of our government public health agencies charged with assuring community health promotion and protection. Public health and community leaders, therefore, are eager for accessible and comparable data regarding preventive services that can inform policy decisions about where to invest resources...
November 2, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29106555/falling-short-how-state-laws-can-address-health-information-exchange-barriers-and-enablers
#10
Cason D Schmit, Sarah A Wetter, Bita A Kash
Objective: Research on the implementation of health information exchange (HIE) organizations has identified both positive and negative effects of laws relating to governance, incentives, mandates, sustainability, stakeholder participation, patient engagement, privacy, confidentiality, and security. We fill a substantial research gap by describing whether comprehensive state and territorial HIE legal frameworks address identified legal facilitators and barriers. Materials and Methods: We used the Westlaw database to identify state and territorial laws relating to HIEs in effect on June 7, 2016 (53 jurisdictions)...
November 2, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29092073/reproducible-bioconductor-workflows-using-browser-based-interactive-notebooks-and-containers
#11
Reem Almugbel, Ling-Hong Hung, Jiaming Hu, Abeer Almutairy, Nicole Ortogero, Yashaswi Tamta, Ka Yee Yeung
Objective: Bioinformatics publications typically include complex software workflows that are difficult to describe in a manuscript. We describe and demonstrate the use of interactive software notebooks to document and distribute bioinformatics research. We provide a user-friendly tool, BiocImageBuilder, that allows users to easily distribute their bioinformatics protocols through interactive notebooks uploaded to either a GitHub repository or a private server. Materials and methods: We present four different interactive Jupyter notebooks using R and Bioconductor workflows to infer differential gene expression, analyze cross-platform datasets, process RNA-seq data and KinomeScan data...
October 28, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29092068/development-of-a-research-oriented-system-for-collecting-mechanical-ventilator-waveform-data
#12
Gregory B Rehm, Brooks T Kuhn, Jean-Pierre Delplanque, Edward C Guo, Monica K Lieng, Jimmy Nguyen, Nicholas R Anderson, Jason Y Adams
Lack of access to high-frequency, high-volume patient-derived data, such as mechanical ventilator waveform data, has limited the secondary use of these data for research, quality improvement, and decision support. Existing methods for collecting these data are obtrusive, require high levels of technical expertise, and are often cost-prohibitive, limiting their use and scalability for research applications. We describe here the development of an unobtrusive, open-source, scalable, and user-friendly architecture for collecting, transmitting, and storing mechanical ventilator waveform data that is generalizable to other patient care devices...
October 28, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29092082/using-machine-learning-for-sequence-level-automated-mri-protocol-selection-in-neuroradiology
#13
Andrew D Brown, Thomas R Marotta
Incorrect imaging protocol selection can lead to important clinical findings being missed, contributing to both wasted health care resources and patient harm. We present a machine learning method for analyzing the unstructured text of clinical indications and patient demographics from magnetic resonance imaging (MRI) orders to automatically protocol MRI procedures at the sequence level. We compared 3 machine learning models - support vector machine, gradient boosting machine, and random forest - to a baseline model that predicted the most common protocol for all observations in our test set...
October 27, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29092059/medication-related-clinical-decision-support-alert-overrides-in-inpatients
#14
Karen C Nanji, Diane L Seger, Sarah P Slight, Mary G Amato, Patrick E Beeler, Qoua L Her, Olivia Dalleur, Tewodros Eguale, Adrian Wong, Elizabeth R Silvers, Michael Swerdloff, Salman T Hussain, Nivethietha Maniam, Julie M Fiskio, Patricia C Dykes, David W Bates
Objective: To define the types and numbers of inpatient clinical decision support alerts, measure the frequency with which they are overridden, and describe providers' reasons for overriding them and the appropriateness of those reasons. Materials and Methods: We conducted a cross-sectional study of medication-related clinical decision support alerts over a 3-year period at a 793-bed tertiary-care teaching institution. We measured the rate of alert overrides, the rate of overrides by alert type, the reasons cited for overrides, and the appropriateness of those reasons...
October 27, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29092054/characteristics-of-knowledge-content-in-a-curated-online-evidence-library
#15
Sowmya Varada, Ronilda Lacson, Ali S Raja, Ivan K Ip, Louise Schneider, David Osterbur, Paul Bain, Nicole Vetrano, Jacqueline Cellini, Carol Mita, Margaret Coletti, Julia Whelan, Ramin Khorasani
Objective: To describe types of recommendations represented in a curated online evidence library, report on the quality of evidence-based recommendations pertaining to diagnostic imaging exams, and assess underlying knowledge representation. Materials and Methods: The evidence library is populated with clinical decision rules, professional society guidelines, and locally developed best practice guidelines. Individual recommendations were graded based on a standard methodology and compared using chi-square test...
October 27, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29092049/facets-using-open-data-to-measure-community-social-determinants-of-health
#16
Michael N Cantor, Rajan Chandras, Claudia Pulgarin
Objective: To develop a dataset based on open data sources reflective of community-level social determinants of health (SDH). Materials and Methods: We created FACETS (Factors Affecting Communities and Enabling Targeted Services), an architecture that incorporates open data related to SDH into a single dataset mapped at the census-tract level for New York City. Results: FACETS (https://github.com/mcantor2/FACETS) can be easily used to map individual addresses to their census-tract-level SDH...
October 27, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29088436/factors-contributing-to-medication-errors-made-when-using-computerized-order-entry-in-pediatrics-a-systematic-review
#17
Clare L Tolley, Niamh E Forde, Katherine L Coffey, Dean F Sittig, Joan S Ash, Andrew K Husband, David W Bates, Sarah P Slight
Objective: To identify and understand the factors that contribute to medication errors associated with the use of computerized provider order entry (CPOE) in pediatrics and provide recommendations on how CPOE systems could be improved. Materials and Methods: We conducted a systematic literature review across 3 large databases: the Cumulative Index to Nursing and Allied Health Literature, Embase, and Medline. Three independent reviewers screened the titles, and 2 authors then independently reviewed all abstracts and full texts, with 1 author acting as a constant across all publications...
October 26, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29088384/ethical-issues-in-the-use-of-sms-messaging-in-hiv-care-and-treatment-in-low-and-middle-income-countries-case-examples-from-mozambique
#18
Ezequiel B Ossemane, Troy D Moon, Martin C Were, Elizabeth Heitman
The introduction of mobile communication technologies in health care in low- and middle-income countries offers an opportunity for increased efficiencies in provision of care, improved utilization of scarce resources, reductions in workload, and increased reach of services to a larger target population. Short message service (SMS) technologies offer promise, with several large-scale SMS-based implementations already under way. Still largely lacking in the research literature are evaluations of specific ethical issues that arise when SMS programs are implemented and studied in resource-limited settings...
October 26, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29069394/exploring-completeness-in-clinical-data-research-networks-with-dqe-c
#19
Hossein Estiri, Kari A Stephens, Jeffrey G Klann, Shawn N Murphy
Objective: To provide an open source, interoperable, and scalable data quality assessment tool for evaluation and visualization of completeness and conformance in electronic health record (EHR) data repositories. Materials and Methods: This article describes the tool's design and architecture and gives an overview of its outputs using a sample dataset of 200‚ÄČ000 randomly selected patient records with an encounter since January 1, 2010, extracted from the Research Patient Data Registry (RPDR) at Partners HealthCare...
October 23, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29045651/clinical-decision-support-alert-malfunctions-analysis-and-empirically-derived-taxonomy
#20
Adam Wright, Angela Ai, Joan Ash, Jane F Wiesen, Thu-Trang T Hickman, Skye Aaron, Dustin McEvoy, Shane Borkowsky, Pavithra I Dissanayake, Peter Embi, William Galanter, Jeremy Harper, Steve Z Kassakian, Rachel Ramoni, Richard Schreiber, Anwar Sirajuddin, David W Bates, Dean F Sittig
Objective: To develop an empirically derived taxonomy of clinical decision support (CDS) alert malfunctions. Materials and Methods: We identified CDS alert malfunctions using a mix of qualitative and quantitative methods: (1) site visits with interviews of chief medical informatics officers, CDS developers, clinical leaders, and CDS end users; (2) surveys of chief medical informatics officers; (3) analysis of CDS firing rates; and (4) analysis of CDS overrides. We used a multi-round, manual, iterative card sort to develop a multi-axial, empirically derived taxonomy of CDS malfunctions...
October 16, 2017: Journal of the American Medical Informatics Association: JAMIA
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