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Journal of Biomedical Informatics

Dennis Toddenroth, Janakan Sivagnanasundaram, Hans-Ulrich Prokosch, Thomas Ganslandt
BACKGROUND: The difficulty of managing patient recruitment and documentation for clinical trials prompts a demand for instruments for closely monitoring these critical but unpredictable processes. Increasingly adopted Electronic Data Capture (EDC) applications provide novel opportunities to reutilize stored information for an efficient management of traceable trial workflows. In related clinical and administrative settings, so-called digital dashboards that continuously visualize time-dependent parameters have recently met a growing acceptance...
October 18, 2016: Journal of Biomedical Informatics
José Bravo, Diane Cook, Giuseppe Riva
No abstract text is available yet for this article.
October 18, 2016: Journal of Biomedical Informatics
Brett K Beaulieu-Jones, Casey S Greene
Patient interactions with health care providers result in entries to electronic health records (EHRs). EHRs were built for clinical and billing purposes but contain many data points about an individual. Mining these records provides opportunities to extract electronic phenotypes, which can be paired with genetic data to identify genes underlying common human diseases. This task remains challenging: high quality phenotyping is costly and requires physician review; many fields in the records are sparsely filled; and our definitions of diseases are continuing to improve over time...
October 12, 2016: Journal of Biomedical Informatics
Ilgin Acar, Steven E Butt
Balancing workload among nurses on a hospital unit is important for the satisfaction and safety of nurses and patients. To balance nurse workloads, direct patient care activities, indirect patient care activities, and non-patient care activities that occur throughout a shift must be considered. The layout of a hospital unit and the location of a nurse's assigned patients relative to other resources on the unit are also important factors in achieving workload balance. In most hospitals, a unit charge nurse is responsible for the shift assignment of patients to nurses based on experience and past practices...
October 11, 2016: Journal of Biomedical Informatics
Simon Kocbek, Lawrence Cavedon, David Martinez, Christopher Bain, Chris Mac Manus, Gholamreza Haffari, Ingrid Zukerman, Karin Verspoor
OBJECTIVE: Text and data mining play an important role in obtaining insights from Health and Hospital Information Systems. This paper presents a text mining system for detecting admissions marked as positive for several diseases: Lung Cancer, Breast Cancer, Colon Cancer, Secondary Malignant Neoplasm of Respiratory and Digestive Organs, Multiple Myeloma and Malignant Plasma Cell Neoplasms, Pneumonia, and Pulmonary Embolism. We specifically examine the effect of linking multiple data sources on text classification performance...
October 11, 2016: Journal of Biomedical Informatics
Wen-Wai Yim, Sharon W Kwan, Meliha Yetisgen
BACKGROUND: Anaphoric references occur ubiquitously in clinical narrative text. However, the problem, still very much an open challenge, is typically less aggressively focused on in clinical text domain applications. Furthermore, existing research on reference resolution is often conducted disjointly from real-world motivating tasks. OBJECTIVE: In this paper, we present our machine-learning system that automatically performs reference resolution and a rule-based system to extract tumor characteristics, with component-based and end-to-end evaluations...
October 8, 2016: Journal of Biomedical Informatics
Zahra Razaghi-Moghadam, Razieh Abdollahi, Sama Goliaei, Morteza Ebrahimi
In the past few years, many researches have been conducted on identifying and prioritizing disease-related genes with the goal of achieving significant improvements in treatment and drug discovery. Both experimental and computational approaches have been exploited in recent studies to explore disease-susceptible genes. The experimental methods for identification of these genes are usually time-consuming and expensive. As a result, a substantial number of these studies have shown interest in utilizing computational techniques, commonly known as gene prioritization methods...
October 7, 2016: Journal of Biomedical Informatics
Jan Horsky, Harley Z Ramelson
Excellent usability characteristics allow electronic health record (EHR) systems to more effectively support clinicians providing care and contribute to better quality and safety. The Office of the National Coordinator for Health IT (ONC) therefore requires all vendors to follow a User-Centered Design (UCD) process to increase the usability of their products in order to meet certification criteria for the Safety-Enhanced Design part of the Meaningful Use (stage 2) EHR incentive program. This report describes the initial stage of a UCD process in which foundational design concepts were formulated...
October 7, 2016: Journal of Biomedical Informatics
Ying-Chieh Liu, Chien-Hung Chen, Chien-Wei Lee, Yu-Sheng Lin, Hsin-Yun Chen, Jou-Yin Yeh, Sherry Yueh-Hsia Chiu
OBJECTIVE: We designed and developed two interactive apps interfaces for dietary food measurements on mobile devices. The user-centered designs of both the IPI (interactive photo interface) and the SBI (sketching-based interface) were evaluated. Four types of outcomes were assessed to evaluate the usability of mobile devices for dietary measurements, including accuracy, absolute weight differences, and the response time to determine the efficacy of food measurements. METHODS: The IPI presented users with images of pre-determined portion sizes of a specific food and allowed users to scan and then select the most representative image matching the food that they were measuring...
October 5, 2016: Journal of Biomedical Informatics
Milos Hauskrecht, Iyad Batal, Charmgil Hong, Quang Nguyen, Gregory F Cooper, Shyam Visweswaran, Gilles Clermont
Medical errors remain a significant problem in healthcare. This paper investigates a data-driven outlier-based monitoring and alerting framework that uses data in the Electronic Medical Records (EMRs) repositories of past patient cases to identify any unusual clinical actions in the EMR of a current patient. Our conjecture is that these unusual clinical actions correspond to medical errors often enough to justify their detection and alerting. Our approach works by using EMR repositories to learn statistical models that relate patient states to patient-management actions...
October 5, 2016: Journal of Biomedical Informatics
Yang Chen, Rong Xu
A recent multi-platform analysis by The Cancer Genome Atlas identified four distinct molecular subtypes for glioblastoma (GBM) and demonstrated that the subtypes correlate with clinical phenotypes and treatment responses. In this study, we developed a computational drug repurposing approach to predict GBM drugs based on the molecular subtypes. Our approach leverages the genomic signature for each GBM subtype, and integrates the human cancer genomics with mouse phenotype data to identify the opportunity of reusing the FDA-approved agents to treat specific GBM subtypes...
September 30, 2016: Journal of Biomedical Informatics
Peter L Elkin, Henry C Johnson, Michael R Callahan, David C Classen
Medical errors and patient safety issues remain a significant problem for the healthcare industry in the United States. The Institute of Medicine report To Err is Human reported that there were as many as 98,000 deaths per year due to medical error as of 1999. Many authors and government officials believe that the first step on the path to improvement in patient safety is more comprehensive collection and analysis of patient safety events. The belief is that this will enable safety improvements based on data showing the nature and frequency of events that occur, and the effectiveness of interventions...
September 29, 2016: Journal of Biomedical Informatics
Andrius Budrionis, Johan Gustav Bellika
BACKGROUND AND OBJECTIVE: The Learning Healthcare System paradigm has attracted the attention of researchers worldwide. The great potential originating from high-scale health data reuse and the inclusion of patient perspectives into care models promises personalized care, lower costs of health services and minimized consumption of resources. The aim of this review is to summarize the attempts to adopt the novel paradigm, putting emphasis on implementations and evaluating the impact on current medical practices...
September 28, 2016: Journal of Biomedical Informatics
Aritz Bilbao, Aitor Almeida, Diego López-de-Ipiña
The increase of life expectancy in modern society has caused an increase in elderly population. Elderly people want to live independently in their home environment for as long as possible. However, as we age, our physical skills tend to worsen and our social circle tends to become smaller, something that often leads to a considerable decrease of both our physical and social activities. In this paper, we present an AAL framework developed within the SONOPA project, whose objective is to promote active ageing by combining a social network with information inferred using in-home sensors...
September 28, 2016: Journal of Biomedical Informatics
Andrew W Cairns, Raymond R Bond, Dewar D Finlay, Cathal Breen, Daniel Guldenring, Robert Gaffney, Anthony G Gallagher, Aaron J Peace, Pat Henn
INTRODUCTION: The 12-lead Electrocardiogram (ECG) presents a plethora of information and demands extensive knowledge and a high cognitive workload to interpret. Whilst the ECG is an important clinical tool, it is frequently incorrectly interpreted. Even expert clinicians are known to impulsively provide a diagnosis based on their first impression and often miss co-abnormalities. Given it is widely reported that there is a lack of competency in ECG interpretation, it is imperative to optimise the interpretation process...
September 26, 2016: Journal of Biomedical Informatics
Antonio Fernández-Caballero, Arturo Martínez-Rodrigo, José Manuel Pastor, José Carlos Castillo, Elena Lozano-Monasor, María T López, Roberto Zangróniz, José Miguel Latorre, Alicia Fernández-Sotos
This paper introduces an architecture as a proof-of-concept for emotion detection and regulation in smart health environments. The aim of the proposal is to detect the patient's emotional state by analysing his/her physiological signals, facial expression and behaviour. Then, the system provides the best-tailored actions in the environment to regulate these emotions towards a positive mood when possible. The current state-of-the-art in emotion regulation through music and colour/light is implemented with the final goal of enhancing the quality of life and care of the subject...
September 24, 2016: Journal of Biomedical Informatics
Samah Fodeh, Qing Zeng
No abstract text is available yet for this article.
September 23, 2016: Journal of Biomedical Informatics
Daisuke Ichikawa
OBJECT: Our purpose was to develop a new machine-learning approach (a virtual health check-up) toward identification of those at high risk of hyperuricemia. Applying the system to general health check-ups is expected to reduce medical costs compared with administering an additional test. METHODS: Data were collected during annual health check-ups performed in Japan between 2011 and 2013 (inclusive). We prepared training and test datasets from the health check-up data to build prediction models; these were composed of 43,524 and 17,789 persons, respectively...
September 19, 2016: Journal of Biomedical Informatics
Patricia Kipnis, Benjamin J Turk, David A Wulf, Juan Carlos LaGuardia, Vincent XLiu, Matthew M Churpek, Santiago Romero-Brufau, Gabriel J Escobar
: Patients in general medical-surgical wards who experience unplanned transfer to the intensive care unit (ICU) show evidence of physiologic derangement 6 to 24 hours prior to their deterioration. With increasing availability of electronic medical records (EMRs), automated early warning scores (EWSs) are becoming feasible. OBJECTIVE: To describe the development and performance of an automated EWS based on EMR data. MATERIALS AND METHODS: We used a discrete-time logistic regression model to obtain an hourly risk score to predict unplanned transfer to the ICU within the next 12 hours...
September 19, 2016: Journal of Biomedical Informatics
Luís Pinho-Costa, Kenneth Yakubu, Kyle Hoedebecke, Liliana Laranjo, Christofer Patrick Reichel, Maria Del C Colon-Gonzalez, Ana Luísa Neves, Hassna Errami
PURPOSE: Create an index of global reach for healthcare hashtags and tweeters therein, filterable by topic of interest. MATERIALS AND METHODS: For this proof-of-concept study we focused on the field of Primary Care and Family Medicine. Six hashtags were selected based on their importance, from the ones included in the 'Healthcare Hashtag Project'. Hashtag Global Reach (HGR) was calculated using the additive aggregation of five weighted, normalized indicator variables: number of impressions, tweets, tweeters, user locations, and user languages...
September 16, 2016: Journal of Biomedical Informatics
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