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Journal of the American Medical Informatics Association: JAMIA

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https://www.readbyqxmd.com/read/28108546/automatic-health-record-review-to-help-prioritize-gravely-ill-social-security-disability-applicants
#1
Kenneth Abbott, Yen-Yi Ho, Jennifer Erickson
OBJECTIVE: Every year, thousands of patients die waiting for disability benefits from the Social Security Administration. Some qualify for expedited service under the Compassionate Allowance (CAL) initiative, but CAL software focuses exclusively on information from a single form field. This paper describes the development of a supplemental process for identifying some overlooked but gravely ill applicants, through automatic annotation of health records accompanying new claims. We explore improved prioritization instead of fully autonomous claims approval...
January 20, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28104826/screening-for-medication-errors-using-an-outlier-detection-system
#2
Gordon D Schiff, Lynn A Volk, Mayya Volodarskaya, Deborah H Williams, Lake Walsh, Sara G Myers, David W Bates, Ronen Rozenblum
OBJECTIVE: The study objective was to evaluate the accuracy, validity, and clinical usefulness of medication error alerts generated by an alerting system using outlier detection screening. MATERIALS AND METHODS: Five years of clinical data were extracted from an electronic health record system for 747 985 patients who had at least one visit during 2012-2013 at practices affiliated with 2 academic medical centers. Data were screened using the system to detect outliers suggestive of potential medication errors...
January 19, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28087585/standard-based-comprehensive-detection-of-adverse-drug-reaction-signals-from-nursing-statements-and-laboratory-results-in-electronic-health-records
#3
Suehyun Lee, Jiyeob Choi, Hun-Sung Kim, Grace Juyun Kim, Kye Hwa Lee, Chan Hee Park, Jongsoo Han, Dukyong Yoon, Man Young Park, Rae Woong Park, Hye-Ryun Kang, Ju Han Kim
OBJECTIVE: We propose 2 Medical Dictionary for Regulatory Activities-enabled pharmacovigilance algorithms, MetaLAB and MetaNurse, powered by a per-year meta-analysis technique and improved subject sampling strategy. MATRIALS AND METHODS: This study developed 2 novel algorithms, MetaLAB for laboratory abnormalities and MetaNurse for standard nursing statements, as significantly improved versions of our previous electronic health record (EHR)-based pharmacovigilance method, called CLEAR...
January 13, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28069667/from-loquacious-to-reticent-understanding-patient-health-information-communication-to-guide-consumer-health-it-design
#4
Rupa S Valdez, Thomas M Guterbock, Kara Fitzgibbon, Ishan C Williams, Claire A Wellbeloved-Stone, Jaime E Bears, Hannah K Menefee
BACKGROUND AND SIGNIFICANCE: It is increasingly recognized that some patients self-manage in the context of social networks rather than alone. Consumer health information technology (IT) designed to support socially embedded self-management must be responsive to patients' everyday communication practices. There is an opportunity to improve consumer health IT design by explicating how patients currently leverage social media to support health information communication. OBJECTIVE: The objective of this study was to determine types of health information communication patterns that typify Facebook users with chronic health conditions to guide consumer health IT design...
January 9, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28049635/cost-and-economic-benefit-of-clinical-decision-support-systems-for-cardiovascular-disease-prevention-a-community-guide-systematic-review
#5
REVIEW
Verughese Jacob, Anilkrishna B Thota, Sajal K Chattopadhyay, Gibril J Njie, Krista K Proia, David P Hopkins, Murray N Ross, Nicolaas P Pronk, John M Clymer
OBJECTIVE: This review evaluates costs and benefits associated with acquiring, implementing, and operating clinical decision support systems (CDSSs) to prevent cardiovascular disease (CVD). MATERIALS AND METHODS: Methods developed for the Community Guide were used to review CDSS literature covering the period from January 1976 to October 2015. Twenty-one studies were identified for inclusion. RESULTS: It was difficult to draw a meaningful estimate for the cost of acquiring and operating CDSSs to prevent CVD from the available studies (n = 12) due to considerable heterogeneity...
January 3, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28040685/using-knowledge-driven-genomic-interactions-for-multi-omics-data-analysis-metadimensional-models-for-predicting-clinical-outcomes-in-ovarian-carcinoma
#6
Dokyoon Kim, Ruowang Li, Anastasia Lucas, Shefali S Verma, Scott M Dudek, Marylyn D Ritchie
It is common that cancer patients have different molecular signatures even though they have similar clinical features, such as histology, due to the heterogeneity of tumors. To overcome this variability, we previously developed a new approach incorporating prior biological knowledge that identifies knowledge-driven genomic interactions associated with outcomes of interest. However, no systematic approach has been proposed to identify interaction models between pathways based on multi-omics data. Here we have proposed such a novel methodological framework, called metadimensional knowledge-driven genomic interactions (MKGIs)...
December 31, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28040684/assessment-of-the-french-national-health-insurance-information-system-as-a-tool-for-epidemiological-surveillance-of-malaria
#7
François Delon, Aurélie Mayet, Marc Thellier, Eric Kendjo, Rémy Michel, Lénaïck Ollivier, Gilles Chatellier, Guillaume Desjeux
OBJECTIVE: Epidemiological surveillance of malaria in France is based on a hospital laboratory sentinel surveillance network. There is no comprehensive population surveillance. The objective of this study was to assess the ability of the French National Health Insurance Information System to support nationwide malaria surveillance in continental France. MATERIALS AND METHODS: A case identification algorithm was built in a 2-step process. First, inclusion rules giving priority to sensitivity were defined...
December 31, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28040683/engineering-technology-resilience-through-informatics-safety-science
#8
EDITORIAL
Enrico Coiera, Farah Magrabi, Jan Talmon
No abstract text is available yet for this article.
December 31, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28040687/de-identification-of-patient-notes-with-recurrent-neural-networks
#9
Franck Dernoncourt, Ji Young Lee, Ozlem Uzuner, Peter Szolovits
OBJECTIVE: Patient notes in electronic health records (EHRs) may contain critical information for medical investigations. However, the vast majority of medical investigators can only access de-identified notes, in order to protect the confidentiality of patients. In the United States, the Health Insurance Portability and Accountability Act (HIPAA) defines 18 types of protected health information that needs to be removed to de-identify patient notes. Manual de-identification is impractical given the size of electronic health record databases, the limited number of researchers with access to non-de-identified notes, and the frequent mistakes of human annotators...
December 30, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28040686/graphics-help-patients-distinguish-between-urgent-and-non-urgent-deviations-in-laboratory-test-results
#10
Brian J Zikmund-Fisher, Aaron M Scherer, Holly O Witteman, Jacob B Solomon, Nicole L Exe, Beth A Tarini, Angela Fagerlin
OBJECTIVE: Most electronic health record systems provide laboratory test results to patients in table format. We tested whether presenting such results in visual displays (number lines) could improve understanding. MATERIALS AND METHODS: We presented 1620 adults recruited from a demographically diverse Internet panel with hypothetical results from several common laboratory tests, first showing near-normal results and then more extreme values. Participants viewed results in either table format (with a "standard range" provided) or one of 3 number line formats: a simple 2-color format, a format with diagnostic categories such as "borderline high" indicated by colored blocks, and a gradient format that used color gradients to smoothly represent increasing risk as values deviated from standard ranges...
December 30, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28031286/safety-huddles-to-proactively-identify-and-address-electronic-health-record-safety
#11
Shailaja Menon, Hardeep Singh, Traber D Giardina, William L Rayburn, Brenda P Davis, Elise M Russo, Dean F Sittig
OBJECTIVE: Methods to identify and study safety risks of electronic health records (EHRs) are underdeveloped and largely depend on limited end-user reports. "Safety huddles" have been found useful in creating a sense of collective situational awareness that increases an organization's capacity to respond to safety concerns. We explored the use of safety huddles for identifying and learning about EHR-related safety concerns. DESIGN: Data were obtained from daily safety huddle briefing notes recorded at a single midsized tertiary-care hospital in the United States over 1 year...
December 28, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28031285/the-use-of-computerized-clinical-decision-support-systems-in-emergency-care-a-substantive-review-of-the-literature
#12
REVIEW
Paula Bennett, Nicholas R Hardiker
OBJECTIVES: This paper provides a substantive review of international literature evaluating the impact of computerized clinical decision support systems (CCDSSs) on the care of emergency department (ED) patients. MATERIAL AND METHODS: A literature search was conducted using Medline, Cumulative Index of Nursing and Allied Health Literature (CINAHL), Embase electronic resources, and gray literature. Studies were selected if they compared the use of a CCDSS with usual care in a face-to-face clinical interaction in an ED...
December 28, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28031284/drug-drug-interaction-discovery-and-demystification-using-semantic-web-technologies
#13
Adeeb Noor, Abdullah Assiri, Serkan Ayvaz, Connor Clark, Michel Dumontier
OBJECTIVE: To develop a novel pharmacovigilance inferential framework to infer mechanistic explanations for asserted drug-drug interactions (DDIs) and deduce potential DDIs. MATERIALS AND METHODS: A mechanism-based DDI knowledge base was constructed by integrating knowledge from several existing sources at the pharmacokinetic, pharmacodynamic, pharmacogenetic, and multipathway interaction levels. A query-based framework was then created to utilize this integrated knowledge base in conjunction with 9 inference rules to infer mechanistic explanations for asserted DDIs and deduce potential DDIs...
December 28, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28011596/comparative-analysis-of-stakeholder-experience-with-an-online-approach-to-prioritizing-patient-centered-research-topics
#14
Dmitry Khodyakov, Sean Grant, Daniella Meeker, Marika Booth, Nathaly Pacheco-Santivanez, Katherine K Kim
OBJECTIVE: Little evidence exists about effective and scalable methods for meaningful stakeholder engagement in research. We explored patient/caregiver experiences with a high-tech online engagement approach for patient-centered research prioritization, compared their experiences with those of professional stakeholders, and identified factors associated with favorable participant experiences. METHODS: We conducted 8 online modified-Delphi (OMD) panels. Panelists participated in 2 rating rounds with a statistical feedback/online discussion round in between...
December 23, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28011595/problems-with-health-information-technology-and-their-effects-on-care-delivery-and-patient-outcomes-a-systematic-review
#15
Mi Ok Kim, Enrico Coiera, Farah Magrabi
OBJECTIVE: To systematically review studies reporting problems with information technology (IT) in health care and their effects on care delivery and patient outcomes. MATERIALS AND METHODS: We searched bibliographic databases including Scopus, PubMed, and Science Citation Index Expanded from January 2004 to December 2015 for studies reporting problems with IT and their effects. A framework called the information value chain, which connects technology use to final outcome, was used to assess how IT problems affect user interaction, information receipt, decision-making, care processes, and patient outcomes...
December 23, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28011594/anonymization-for-outputs-of-population-health-and-health-services-research-conducted-via-an-online-data-center
#16
Christine M O'Keefe, Mark Westcott, Maree O'Sullivan, Adrien Ickowicz, Tim Churches
OBJECTIVE: Online data centers (ODCs) are becoming increasingly popular for making health-related data available for research. Such centers provide good privacy protection during analysis by trusted researchers, but privacy concerns may still remain if the system outputs are not sufficiently anonymized. In this article, we propose a method for anonymizing analysis outputs from ODCs for publication in academic literature. METHODS: We use as a model system the Secure Unified Research Environment, an online computing system that allows researchers to access and analyze linked health-related data for approved studies in Australia...
December 23, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28011593/an-informatics-based-approach-to-reducing-heart-failure-all-cause-readmissions-the-stanford-heart-failure-dashboard
#17
Dipanjan Banerjee, Christine Thompson, Charlene Kell, Rajesh Shetty, Yohan Vetteth, Helene Grossman, Aria DiBiase, Michael Fowler
BACKGROUND: Reduction of 30-day all-cause readmissions for heart failure (HF) has become an important quality-of-care metric for health care systems. Many hospitals have implemented quality improvement programs designed to reduce 30-day all-cause readmissions for HF. Electronic medical record (EMR)-based measures have been employed to aid in these efforts, but their use has been largely adjunctive to, rather than integrated with, the overall effort. OBJECTIVES: We hypothesized that a comprehensive EMR-based approach utilizing an HF dashboard in addition to an established HF readmission reduction program would further reduce 30-day all-cause index hospital readmission rates for HF...
December 23, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/28011592/personal-health-records-in-the-netherlands-potential-user-preferences-quantified-by-a-discrete-choice-experiment
#18
Domino Determann, Mattijs S Lambooij, Dorte Gyrd-Hansen, Esther W de Bekker-Grob, Ewout W Steyerberg, Marcel Heldoorn, Line Bjørnskov Pedersen, G Ardine de Wit
OBJECTIVE: To identify groups of potential users based on their preferences for characteristics of personal health records (PHRs) and to estimate potential PHR uptake. METHODS: We performed a discrete choice experiment, which consisted of 12 choice scenarios, each comprising 2 hypothetical PHR alternatives and an opt-out. The alternatives differed based on 5 characteristics. The survey was administered to Internet panel members of the Dutch Federation of Patients and Consumer Organizations...
December 23, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27940607/synergistic-drug-combinations-from-electronic-health-records-and-gene-expression
#19
Yen S Low, Aaron C Daugherty, Elizabeth A Schroeder, William Chen, Tina Seto, Susan Weber, Michael Lim, Trevor Hastie, Maya Mathur, Manisha Desai, Carl Farrington, Andrew A Radin, Marina Sirota, Pragati Kenkare, Caroline A Thompson, Peter P Yu, Scarlett L Gomez, George W Sledge, Allison W Kurian, Nigam H Shah
OBJECTIVE: Using electronic health records (EHRs) and biomolecular data, we sought to discover drug pairs with synergistic repurposing potential. EHRs provide real-world treatment and outcome patterns, while complementary biomolecular data, including disease-specific gene expression and drug-protein interactions, provide mechanistic understanding. METHOD: We applied Group Lasso INTERaction NETwork (glinternet), an overlap group lasso penalty on a logistic regression model, with pairwise interactions to identify variables and interacting drug pairs associated with reduced 5-year mortality using EHRs of 9945 breast cancer patients...
December 9, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27789569/the-cancer-precision-medicine-knowledge-base-for-structured-clinical-grade-mutations-and-interpretations
#20
Linda Huang, Helen Fernandes, Hamid Zia, Peyman Tavassoli, Hanna Rennert, David Pisapia, Marcin Imielinski, Andrea Sboner, Mark A Rubin, Michael Kluk, Olivier Elemento
OBJECTIVE: This paper describes the Precision Medicine Knowledge Base (PMKB; https://pmkb.weill.cornell.edu), an interactive online application for collaborative editing, maintenance, and sharing of structured clinical-grade cancer mutation interpretations. MATERIALS AND METHODS: PMKB was built using the Ruby on Rails Web application framework. Leveraging existing standards such as the Human Genome Variation Society variant description format, we implemented a data model that links variants to tumor-specific and tissue-specific interpretations...
October 27, 2016: Journal of the American Medical Informatics Association: JAMIA
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