Proceedings / AMIA ... Annual Symposium. AMIA Symposium
-
In intensive care physiological variables of the critically ill are measured and recorded in short time intervals. The proper extraction and interpretation of the information contained in this flood of information can hardly be done by experience alone. Intelligent alarm systems are needed to provide suitable bedside decision support. ⋯ Graphical models provide information on the relationships among physiological variables that is helpful e.g. for variable selection. Separate analyses for different pathophysiological states show that distinct clinical states are characterized by distinct partial correlation structures. Hence, this technique can provide new insights into physiological mechanisms.
-
Comparative Study
Neural network modeling to predict the hypnotic effect of propofol bolus induction.
Dose requirements of propofol to achieve loss of consciousness depend on the interindividual variability. Until now when propofol was administered by a single bolus, how to define the optimal individual dose and to assess its hypnotic effect have not been clearly studied. The goal of this study is to develop an artificial neural network model to predict the hypnotic effect of propofol on the basis of common clinical parameters. ⋯ The bispectral index of EEG was used to record the consciousness level of patients and served as the output factor. The predictive results of neural net models were superior to that of clinician. This model could potentially help determine the optimal dose of propofol and thus reduce the anesthetic cost.
-
Randomized Controlled Trial Clinical Trial
Health care provider quality improvement organization Medicare data-sharing: a diabetes quality improvement initiative.
This paper describes a collaborative Medicare claims data linkage and sharing effort between the Baylor Health Care System (BHCS) and Texas Medical Foundation (TMF, the Texas Quality Improvement Organization) designed to assess the effect of three quality improvement interventions on care delivered to elderly patients with diabetes. The randomized controlled trial is being conducted among a network of primary care physician practices owned by BHCS and focuses on measures of care process and outcome. ⋯ The use of Medicare claims data, through collaboration with a QIO, can help health care providers overcome a significant barrier associated with quality improvement initiatives. Limitations associated with the use of Medicare claims can impact implementation of intervention strategies, but do not prevent them from being a practical tool for improving care.
-
Many information retrieval systems are based on vector space model (VSM) that represents a document as a vector of index terms. Concepts have been proposed to replace word stems as the index terms to improve retrieval accuracy. However, past research revealed that such systems did not outperform the traditional stem-based systems. ⋯ The similarity between two phrases is jointly determined by their conceptual similarity and their common word stems. The document similarity can in turn be derived from phrase similarities. Using OHSUMED as a test collection and UMLS as the knowledge source, our experiment results reveal that phrase-based VSM yields a 16% increase of retrieval accuracy compared to the stem-based model.
-
Even in the information-rich environment of hospitals, health-care providers face challenges in addressing their various information needs. Through a study of a patient-care team in a tertiary care Surgical Intensive Care Unit (SICU), we expanded our understanding of health-care providers' information needs in two important ways. ⋯ We found that organizational information was extremely important to SICU team members. Furthermore, the first resource that team members utilized was not electronic or paper but rather human: another team member.