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IMPORTANCE Epilepsy is a debilitating condition, often with neither a known etiology nor an effective treatment. Autoimmune mechanisms have been increasingly identified. OBJECTIVE To conduct a population-level study investigating the relationship between epilepsy and several common autoimmune diseases. DESIGN, SETTING, AND PARTICIPANTS A retrospective(More)
OBJECTIVE To analyze patient safety incidents associated with computer use to develop the basis for a classification of problems reported by health professionals. DESIGN Incidents submitted to a voluntary incident reporting database across one Australian state were retrieved and a subset (25%) was analyzed to identify 'natural categories' for(More)
OBJECTIVE To explore the applicability of a syndromic surveillance method to the early detection of health information technology (HIT) system failures. METHODS A syndromic surveillance system was developed to monitor a laboratory information system at a tertiary hospital. Four indices were monitored: (1) total laboratory records being created; (2) total(More)
OBJECTIVE To expand an emerging classification for problems with health information technology (HIT) using reports submitted to the US Food and Drug Administration Manufacturer and User Facility Device Experience (MAUDE) database. DESIGN HIT events submitted to MAUDE were retrieved using a standardized search strategy. Using an emerging classification(More)
OBJECTIVE To model how individual violations in routine clinical processes cumulatively contribute to the risk of adverse events in hospital using an agent-based simulation framework. DESIGN An agent-based simulation was designed to model the cascade of common violations that contribute to the risk of adverse events in routine clinical processes.(More)
OBJECTIVE To analyse patient safety events associated with England's national programme for IT (NPfIT). METHODS Retrospective analysis of all safety events managed by a dedicated IT safety team between September 2005 and November 2011 was undertaken. Events were reviewed against an existing classification for problems associated with IT. The proportion of(More)
OBJECTIVES To explore the feasibility of using statistical text classification to automatically detect extreme-risk events in clinical incident reports. METHODS Statistical text classifiers based on Naïve Bayes and Support Vector Machine (SVM) algorithms were trained and tested on clinical incident reports to automatically detect extreme-risk events,(More)
The manner in which people preferentially interact with others like themselves suggests that information about social connections may be useful in the surveillance of opinions for public health purposes. We examined if social connection information from tweets about human papillomavirus (HPV) vaccines could be used to train classifiers that identify(More)
OBJECTIVE To introduce and evaluate a method that uses electronic medical record (EMR) data to measure the effects of computer system downtime on clinical processes associated with pathology testing and results reporting. MATERIALS AND METHODS A matched case-control design was used to examine the effects of five downtime events over 11-months, ranging(More)
BACKGROUND Ineffective communication of infection control requirements during transitions of care is a potential cause of non-compliance with infection control precautions by healthcare personnel. In this study, interventions to enhance communication during inpatient transfers between wards and radiology were implemented, in the attempt to improve adherence(More)
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