AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
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AMIA Annu Symp Proc · Jan 2006
Randomized Controlled Trial Comparative StudyEffect of e-mail versus postal reminders for mammogram screening.
A randomized controlled trial was undertaken to measure the efficacy of a patient reminder system for females age 40 - 75 in a Midwestern primary care practice. A subset of the population whose email addresses were known was further randomized to measure the effect of email versus postal reminders. A statistically significant increase in completion rates was observed in the intervention group while no difference was found between the email and postal mail groups.
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AMIA Annu Symp Proc · Jan 2006
Randomized Controlled TrialA computerized decision support system improves the accuracy of temperature capture from nursing personnel at the bedside.
To assess the effect of a computerized decision support system (CDSS) on the accuracy of patient temperature recording at the bed side. ⋯ CDSS are effective with nursing personnel in improving the accuracy of temperature capture at the bedside.
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AMIA Annu Symp Proc · Jan 2006
An early warning system for overcrowding in the emergency department.
Overcrowding of emergency departments impedes health care access and quality nationwide. A real-time early warning system for overcrowding may allow administrators to alleviate the problem before reaching a crisis state. Two original probabilistic models - a logistic regression and a recurrent neural network - were created to predict overcrowding crises one hour in the future. ⋯ All models showed high discriminatory ability in terms of area under the receiver operating characteristic curve (logistic regression = .954; recurrent neural network = .957; EDWIN = .879; NEDOCS = .924). At comparable rates of false alarms, the logistic regression gave more advance notice of crises than other models (logistic regression = 62 min; recurrent neural network = 13 min; EDWIN = 0 min; NEDOCS = 0 min). These results demonstrate the feasibility of using models based on key operational variables to anticipate overcrowding crises in real time.
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Timely pre-hospital management of snake bite and poisoning cases is hindered by the lack of information about availability of antidotes in hospitals. We aim to build a regional antidote database by collecting real-time antidote stock information from hospital pharmacy inventory systems and make this information available to the emergency medical technicians (EMTs). This would save valuable time, leading to improved outcomes for the patients.
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AMIA Annu Symp Proc · Jan 2006
A novel method for the efficient retrieval of similar multiparameter physiologic time series using wavelet-based symbolic representations.
An important challenge in data mining is in identifying "similar" temporal patterns that may illuminate hidden information in a database of time series. We are actively engaged in the development of a temporal database of several thousand ICU patient records that contains time-varying physiologic measurements recorded over each patient's ICU stay. The discovery of multiparameter temporal patterns that are predictive of physiologic instability may aid clinicians in optimizing care for critically-ill patients. ⋯ The results of this study demonstrate that similarities between different patient time series may have meaningful physiologic interpretations in the detection of impending hemodynamic deterioration. Thus, our framework may be of potential use in clinical decision-support systems. As a generalized time series similarity metric, the algorithms that are described have applications in several other domains as well.