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T Raz

Publications and source records attributed to T Raz.

24 records · Page 2Linked to original sources

Prediction of medication error probability based on patient characteristics.

This paper describes the development of a model for classifying the patient population into risk groups according to their medication error probability. The methodology utilizes patient demographic and health care data combined with medication error reports. Variable selection is based on a measure of the amount of information that they provide. Using data from a 360-bed hospital, the model identified patient characteristics related to the health care services received as being the main variables related to medication error probability and divided the patient population into three risk groups defined in terms of these characteristics. The model provides information valuable to risk management and quality assurance efforts in the areas of detection of risk exposure, performance monitoring and resource allocation.

Adult↗

Factors affecting the incidence of patient falls in hospitals.

Patient falls affect the cost and quality of patient care in hospitals. Published studies of risk factors for patient falls are inconsistent and often methodologically weak. Existing programs of patient risk assessment rely on large sets of patient characteristics, not all of which may be necessary. This article describes an information-theoretic technique that is able to identify a limited set of patient characteristics that provide most of the statistically significant information regarding risk of falls that is available in a hospital's adverse patient incident data set. Analysis of data from four hospitals with different institutional and data system characteristics revealed a consistent pattern of risk factors.

Accidental Falls↗

An information theoretic method for classifying patients according to the risk of adverse hospital incidents.

The measure of Mutual Information is used to select, out of a large number of possibly interrelated qualitative patient variables, those that are most related to the probability of occurrence of adverse incidents. The subpopulations defined by the variables selected are grouped according to risk levels while minimizing the loss of information. Results of the application of the method to predict the occurrence of three types of incidents in four hospitals are reported.

Accidents↗

ARMIS: a microcomputer-based hospital risk management information system.

Information processing is a major element of hospital risk management programs. A microcomputer-based information system has been designed and implemented in a medium-size university hospital. The design principles and the functional capabilities of the system are described here, followed by an evaluation based on the first year of operation.

Computers↗

A process related to membrane potential involved in bacterial chemotaxis to galactose.

Attractants, in the presence of respiration and ATPase inhibitors, stimulate a hyperpolarization in Escherichia coli [Eisenbach, M. (1982) Biochemistry 21, 6818-6825]. In order to examine whether this hyperpolarization is correlated with chemotaxis, the effect of the attractant D-galactose and its analogues on the membrane potential of wild-type E. coli strains and some of their mutants was studied. The main observations were the following: (i) Wild-type cells became hyperpolarized by either galactose or its nonmetabolizable analogues, D-fucose and L-sorbose. (ii) A mutant defective in galactose metabolism became hyperpolarized by galactose. (iii) Inhibiting the galactose permease system did not prevent the hyperpolarization, rather it facilitated the observation of the hyperpolarization. (iv) Mutants unable to transport galactose via the methyl beta-galactoside (Mgl) transport system but having normal chemotaxis to galactose became normally hyperpolarized by D-fucose. (v) Mutants which cannot bind galactose were not hyperpolarized by galactose. (vi) The hyperpolarization in flaI mutants, in which the whole chemotaxis machinery is repressed, was reduced to 12-15% of the hyperpolarization in the parent strains. (vii) Nonattractant sugars did not stimulate hyperpolarization. It is concluded that the hyperpolarization is the consequence of neither galactose metabolism nor transport but rather is correlated with galactose taxis.

Calcium-Binding Proteins↗