Publications by authors named "Jeremy Daniels"

To assess if Benford's law, a mathematical law used for quality assurance in accounting, can be applied as a quality assurance measure for the manner of death determination. We examined a regional forensic pathology service's monthly manner of death counts (N = 2352) from 2011 to 2013, and provincial monthly and weekly death counts from 2009 to 2013 (N = 81,831). We tested whether each dataset's leading digit followed Benford's law via the chi-square test.

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Background: Identifying adverse events and near misses is essential to improving safety in the health care system. Patients are capable of reliably identifying and reporting adverse events. The effect of a patient safety reporting system used by families of pediatric inpatients on reporting of adverse events by health care providers has not previously been investigated.

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Purpose: Adverse event reporting systems allow healthcare institutions to detect and prevent recurrence of avoidable patient harm. It is known that standard reporting systems, which are initiated by clinicians, detect only a minority of chart-documented adverse events. The objective of the study was to develop a web-based system, the Family Reporting System (FRS), to elicit adverse event reports from families of children admitted to hospital through survey methodology and human factors engineering techniques.

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Purpose Of Review: There are an increasing number of monitors being developed to measure physiological parameters during the perioperative period. This review provides an overview of some of these new monitors developed for use in clinical anesthesia and outlines the potential advantages of each device. Pitfalls concerning the introduction of additional monitoring devices and the research gaps for introducing these monitors into clinical practice are discussed.

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Objective: Physiological monitoring is a requisite for optimal care to ensure that the condition of a patient is maintained within safe levels. Monitoring can be jeopardized by the inability of a clinician to recognize important changes in the visual display of data throughout the duration of the monitoring task. We hypothesized that the addition of a visual cue imparting contextual information to a physiological display would improve the detection ability and response time of a clinician to a change in a patient variable.

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Background: We have developed a software tool (iAssist) to assist clinicians as they monitor the physiological data that guide their actions during anesthesia. The system tracks the statistical properties of multiple dynamic physiological processes and identifies new trend patterns. We report our initial evaluation of this tool (in pseudo real-time) and compare the detection of trend changes to a post hoc visual review of the full trend.

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Anesthesiologists in the operating room are unable to constantly monitor all data generated by physiological monitors. They are further distracted by clinical and educational tasks. An expert system would ideally provide assistance to the anesthesiologist in this data-rich environment.

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Background: Current methods of information transfer in the operating room between monitor and anesthesiologist rely on visual and auditory modalities. These modalities can easily become overloaded in a high cognitive workload situation, such as in a critical incident. The use of vibrotactile communication has been shown to improve information transfer in other high cognitive workload environments such as aviation.

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Technology design is a complex task, and acceptability is enhanced when usability is central to its design. Evaluating usability is a challenge for purchasers and developers of technology. We have developed a framework for testing the usability of clinical monitoring technology through literature review and experience designing clinical monitors.

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