Medical Communication Quality In The
Italian Pharmaceutical Industry:
Measurement And Analysis By ‘NOOS’
Author(s)
P. Mariani & G. Ventre
Abstract
Methodology represents an original application of text mining aimed at utilising
Broadbent’s model in the pharmaceutical ambit. This approach offers a
quantitative measure of the message scatter. From communication from the
emitter, the receiver absorbs partly or wholly the communication, but can adapt
the contents by its experience or by \“communication filters”. Measurement can
be performed by asking the receiver to describe the communication contents by
means of verbalisation of the communication itself. The use of multiple
correspondence analysis and cluster analysis has permitted a quantification of the
main dimension beneath the data and a division in patterns on the basis of
different linguistic models to be obtained. A test has been performed on a sample
of 51 articles extracted from \“NOOS”, a magazine of psychiatric argument. Four
articles were chosen like the model and compared with the rest of the sample,
verifying textual correlation and related with the four articles model. In this way
a simulation of the communication flow has been made from the Company
(Medical Department) to the physicians, passing through different staff of the
firm, particularly REP, and it has been possible to measure the quota of correct
non-scattered communication between companies and physicians.
Keywords: text mining, communication scatter.
1 Introduction
The number of physicians enrolled in the Italian Physician Roll are 347.759
(Federazione Nazionale degli Ordini dei medici chirurghi e degli Odontoiatri,
Keywords
text mining, communication scatter.
Related Book
Other papers in this volume
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