journal
MENU ▼
Read by QxMD icon Read
search

Journal of the American Medical Informatics Association: JAMIA

journal
https://www.readbyqxmd.com/read/27789569/the-cancer-precision-medicine-knowledge-base-for-structured-clinical-grade-mutations-and-interpretations
#1
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
https://www.readbyqxmd.com/read/27707822/using-social-media-to-monitor-mental-health-discussions-evidence-from-twitter
#2
Chandler McClellan, Mir M Ali, Ryan Mutter, Larry Kroutil, Justin Landwehr
OBJECTIVES: Given the public health importance of communicating about mental illness and the growing use of social media to convey information, our goal was to develop an empirical model to identify periods of heightened interest in mental health topics on Twitter. MATERIALS AND METHODS: We collected data on 176 million tweets from 2011 to 2014 with content related to depression or suicide. Using an autoregressive integrated moving average (ARIMA) data analysis, we identified deviations from predicted trends in communication about depression and suicide...
October 5, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27707821/human-resource-information-systems-in-health-care-a-systematic-evidence-review
#3
Aizhan Tursunbayeva, Raluca Bunduchi, Massimo Franco, Claudia Pagliari
OBJECTIVE: This systematic review aimed to: (1) determine the prevalence and scope of existing research on human resource information systems (HRIS) in health organizations; (2) analyze, classify, and synthesize evidence on the processes and impacts of HRIS development, implementation, and adoption; and (3) generate recommendations for HRIS research, practice, and policy, with reference to the needs of different stakeholders. METHODS: A structured search strategy was used to interrogate 10 electronic databases indexing research from the health, social, management, technology, and interdisciplinary sciences, alongside gray literature sources and reference lists of qualifying studies...
October 5, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27707820/understanding-vasopressor-intervention-and-weaning-risk-prediction-in-a-public-heterogeneous-clinical-time-series-database
#4
Mike Wu, Marzyeh Ghassemi, Mengling Feng, Leo A Celi, Peter Szolovits, Finale Doshi-Velez
BACKGROUND: The widespread adoption of electronic health records allows us to ask evidence-based questions about the need for and benefits of specific clinical interventions in critical-care settings across large populations. OBJECTIVE: We investigated the prediction of vasopressor administration and weaning in the intensive care unit. Vasopressors are commonly used to control hypotension, and changes in timing and dosage can have a large impact on patient outcomes...
October 5, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27707819/toward-automated-assessment-of-health-web-page-quality-using-the-discern-instrument
#5
Ahmed Allam, Peter J Schulz, Michael Krauthammer
BACKGROUND: As the Internet becomes the number one destination for obtaining health-related information, there is an increasing need to identify health Web pages that convey an accurate and current view of medical knowledge. In response, the research community has created multicriteria instruments for reliably assessing online medical information quality. One such instrument is DISCERN, which measures health Web page quality by assessing an array of features. In order to scale up use of the instrument, there is interest in automating the quality evaluation process by building machine learning (ML)-based DISCERN Web page classifiers...
October 5, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27694279/the-use-of-mobile-applications-to-support-self-management-for-people-with-asthma-a-systematic-review-of-controlled-studies-to-identify-features-associated-with-clinical-effectiveness-and-adherence
#6
Chi Yan Hui, Robert Walton, Brian McKinstry, Tracy Jackson, Richard Parker, Hilary Pinnock
OBJECTIVES: Telehealth is promoted as a strategy to support self-management of long-term conditions. The aim of this systematic review is to identify which information and communication technology features implemented in mobile apps to support asthma self-management are associated with adoption, adherence to usage, and clinical effectiveness. METHODS: We systematically searched 9 databases, scanned reference lists, and undertook manual searches (January 2000 to April 2016)...
October 2, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27678461/it-cares-an-interactive-tool-for-case-crossover-analyses-of-electronic-medical-records-for-patient-safety
#7
Alexandre Caron, Emmanuel Chazard, Joris Muller, Renaud Perichon, Laurie Ferret, Vassilis Koutkias, Régis Beuscart, Jean-Baptiste Beuscart, Grégoire Ficheur
BACKGROUND: The significant risk of adverse events following medical procedures supports a clinical epidemiological approach based on the analyses of collections of electronic medical records. Data analytical tools might help clinical epidemiologists develop more appropriate case-crossover designs for monitoring patient safety. OBJECTIVE: To develop and assess the methodological quality of an interactive tool for use by clinical epidemiologists to systematically design case-crossover analyses of large electronic medical records databases...
September 27, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27678460/meshdd-literature-based-drug-drug-similarity-for-drug-repositioning
#8
Adam S Brown, Chirag J Patel
OBJECTIVE: Drug repositioning is a promising methodology for reducing the cost and duration of the drug discovery pipeline. We sought to develop a computational repositioning method leveraging annotations in the literature, such as Medical Subject Heading (MeSH) terms. METHODS: We developed software to determine significantly co-occurring drug-MeSH term pairs and a method to estimate pair-wise literature-derived distances between drugs. RESULTS: We found that literature-based drug-drug similarities predicted the number of shared indications across drug-drug pairs...
September 27, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27678459/computerized-prescriber-order-entry-related-patient-safety-reports-analysis-of-2522-medication-errors
#9
Mary G Amato, Alejandra Salazar, Thu-Trang T Hickman, Arbor Jl Quist, Lynn A Volk, Adam Wright, Dustin McEvoy, William L Galanter, Ross Koppel, Beverly Loudin, Jason Adelman, John D McGreevey, David H Smith, David W Bates, Gordon D Schiff
OBJECTIVE: To examine medication errors potentially related to computerized prescriber order entry (CPOE) and refine a previously published taxonomy to classify them. MATERIALS AND METHODS: We reviewed all patient safety medication reports that occurred in the medication ordering phase from 6 sites participating in a United States Food and Drug Administration-sponsored project examining CPOE safety. Two pharmacists independently reviewed each report to confirm whether the error occurred in the ordering/prescribing phase and was related to CPOE...
September 27, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27655861/predicting-inpatient-clinical-order-patterns-with-probabilistic-topic-models-vs-conventional-order-sets
#10
Jonathan H Chen, Mary K Goldstein, Steven M Asch, Lester Mackey, Russ B Altman
OBJECTIVE: Build probabilistic topic model representations of hospital admissions processes and compare the ability of such models to predict clinical order patterns as compared to preconstructed order sets. MATERIALS AND METHODS: The authors evaluated the first 24 hours of structured electronic health record data for > 10 K inpatients. Drawing an analogy between structured items (e.g., clinical orders) to words in a text document, the authors performed latent Dirichlet allocation probabilistic topic modeling...
September 20, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27638908/national-trends-in-safety-performance-of-electronic-health-record-systems-in-children-s-hospitals
#11
Juan D Chaparro, David C Classen, Melissa Danforth, David C Stockwell, Christopher A Longhurst
OBJECTIVE: To evaluate the safety of computerized physician order entry (CPOE) and associated clinical decision support (CDS) systems in electronic health record (EHR) systems at pediatric inpatient facilities in the US using the Leapfrog Group's pediatric CPOE evaluation tool. METHODS: The Leapfrog pediatric CPOE evaluation tool, a previously validated tool to assess the ability of a CPOE system to identify orders that could potentially lead to patient harm, was used to evaluate 41 pediatric hospitals over a 2-year period...
September 16, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27638907/predicting-neutropenia-risk-in-patients-with-cancer-using-electronic-data
#12
Pamala A Pawloski, Avis J Thomas, Sheryl Kane, Gabriela Vazquez-Benitez, Gary R Shapiro, Gary H Lyman
OBJECTIVES: Clinical guidelines recommending the use of myeloid growth factors are largely based on the prescribed chemotherapy regimen. The guidelines suggest that oncologists consider patient-specific characteristics when prescribing granulocyte-colony stimulating factor (G-CSF) prophylaxis; however, a mechanism to quantify individual patient risk is lacking. Readily available electronic health record (EHR) data can provide patient-specific information needed for individualized neutropenia risk estimation...
September 16, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27632993/surrogate-assisted-feature-extraction-for-high-throughput-phenotyping
#13
Sheng Yu, Abhishek Chakrabortty, Katherine P Liao, Tianrun Cai, Ashwin N Ananthakrishnan, Vivian S Gainer, Susanne E Churchill, Peter Szolovits, Shawn N Murphy, Isaac S Kohane, Tianxi Cai
OBJECTIVE: Phenotyping algorithms are capable of accurately identifying patients with specific phenotypes from within electronic medical records systems. However, developing phenotyping algorithms in a scalable way remains a challenge due to the extensive human resources required. This paper introduces a high-throughput unsupervised feature selection method, which improves the robustness and scalability of electronic medical record phenotyping without compromising its accuracy. METHODS: The proposed Surrogate-Assisted Feature Extraction (SAFE) method selects candidate features from a pool of comprehensive medical concepts found in publicly available knowledge sources...
September 15, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27880717/health-informatics-our-domain-our-challenge
#14
Douglas B Fridsma
No abstract text is available yet for this article.
November 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27880716/data-driven-informatics-tools-targeting-patients-and-providers
#15
Lucila Ohno-Machado
No abstract text is available yet for this article.
November 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27274025/evaluation-of-clinical-information-modeling-tools
#16
Alberto Moreno-Conde, Tony Austin, Jesús Moreno-Conde, Carlos L Parra-Calderón, Dipak Kalra
OBJECTIVE: Clinical information models are formal specifications for representing the structure and semantics of the clinical content within electronic health record systems. This research aims to define, test, and validate evaluation metrics for software tools designed to support the processes associated with the definition, management, and implementation of these models. METHODOLOGY: The proposed framework builds on previous research that focused on obtaining agreement on the essential requirements in this area...
November 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27234601/automated-pictographic-illustration-of-discharge-instructions-with-glyph-impact-on-patient-recall-and-satisfaction
#17
Brent Hill, Seneca Perri-Moore, Jinqiu Kuang, Bruce E Bray, Long Ngo, Alexa Doig, Qing Zeng-Treitler
OBJECTIVES: First, to evaluate the effect of standard vs pictograph-enhanced discharge instructions on patients' immediate and delayed recall of and satisfaction with their discharge instructions. Second, to evaluate the effect of automated pictograph enhancement on patient satisfaction with their discharge instructions. MATERIALS AND METHODS: Glyph, an automated healthcare informatics system, was used to automatically enhance patient discharge instructions with pictographs...
November 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27206459/beyond-access-barriers-to-internet-health-information-seeking-among-the-urban-poor
#18
Rachel F McCloud, Cassandra A Okechukwu, Glorian Sorensen, K Viswanath
OBJECTIVE: Communication inequalities deepen health disparities even when internet access is achieved. The goal of this study is to understand how a range of barriers may inhibit individuals from low socioeconomic position (SEP) from engaging with online health information even when it is freely available. MATERIALS AND METHODS: Detailed data were collected from 118 low-SEP individuals from a randomized controlled trial providing internet access. Measures triangulated the health-seeking experience through internet use tracked in real-time, call log data, and self-reported barriers...
November 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27174893/learning-statistical-models-of-phenotypes-using-noisy-labeled-training-data
#19
Vibhu Agarwal, Tanya Podchiyska, Juan M Banda, Veena Goel, Tiffany I Leung, Evan P Minty, Timothy E Sweeney, Elsie Gyang, Nigam H Shah
OBJECTIVE: Traditionally, patient groups with a phenotype are selected through rule-based definitions whose creation and validation are time-consuming. Machine learning approaches to electronic phenotyping are limited by the paucity of labeled training datasets. We demonstrate the feasibility of utilizing semi-automatically labeled training sets to create phenotype models via machine learning, using a comprehensive representation of the patient medical record. METHODS: We use a list of keywords specific to the phenotype of interest to generate noisy labeled training data...
November 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27136944/the-medical-science-dmz
#20
Sean Peisert, William Barnett, Eli Dart, James Cuff, Robert L Grossman, Edward Balas, Ari Berman, Anurag Shankar, Brian Tierney
OBJECTIVE: We describe use cases and an institutional reference architecture for maintaining high-capacity, data-intensive network flows (e.g., 10, 40, 100 Gbps+) in a scientific, medical context while still adhering to security and privacy laws and regulations. MATERIALS AND METHODS: High-end networking, packet filter firewalls, network intrusion detection systems. RESULTS: We describe a "Medical Science DMZ" concept as an option for secure, high-volume transport of large, sensitive data sets between research institutions over national research networks...
November 2016: 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"