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- Does computer
use in
patient-physic
ian encounters
influence
patient
satisfaction?: Can Fam
Physician,
Vol. 56, No.
1. (1 January
2010), pp.
e6-12.OBJECTIV
ETo assess
whether
computer use
by physicians
during the
patient-physic
ian encounter
influences
patient
satisfaction
in a family
medicine
teaching
centre.
DESIGNCross-se
ctional mailed
survey.
SETTINGQueen's
University
Family
Medicine
Centre in
Kingston, Ont.
PARTICIPANTSA
random sample
of 300
patients from
the family
medicine
centre, all of
whom were
older than 18
years of age
and had
visited their
family
physicians in
the past year.
MAIN OUTCOME
MEASURESPatien
t preference
for or against
computer use
by the
physician and
effect of
computer use
on various
aspects of
patient-physic
ian
interaction.
RESULTSThe
response rate
was 58.3%.
Most
respondents
(51.4%) had no
preference
about computer
use in the
office, and
most (88.0%)
were either
"very
satisfied"
or
"satisfied
" with
their visits.
When assessing
the influence
of patient and
visit
characteristic
s on computer
preference,
only the
"doctor's
attitude
toward
computer
use" had a
positive
correlation
with patient
preference (P
= .0012).
Respondents
were most
likely to
indicate
"positive&
#34; or
"very
positive"
effects of
computer use
on all aspects
of the
patient-physic
ian
interaction,
except
"level of
distraction of
the
doctor"
and "time
spent chatting
about
nonmedical
matters,"
which were
most commonly
reported as
being
unaffected by
computer use.
Specifically,
57.1% of
respondents
thought that
computer use
had either a
"positive&
#34; or
"very
positive"
effect on
their overall
satisfaction
with their
visits, with
another 30.3%
believing
there was no
effect.
CONCLUSIONMost
patients
expressed no
preference for
whether or not
computers were
used in their
physicians'
offices,
although
computers did
seem to have a
positive
effect on
overall
satisfaction
with visits.
Doctors'
attitudes
toward
computer use
influenced
their
patients'
preferences.Sa
rah Lelievre,
Karen Schultz
Source: Can Fam Physician, Vol. 56, No. 1. (1 January 2010), pp. e6-12. - Parallel
algorithms and
matrix
computation: (1990)Jagdish
Modi
Source: (1990) - Zsyntax: a
formal
language for
molecular
biology with
projected
applications
in text mining
and biological
prediction.: PloS one, Vol.
5, No. 3. (3
March 2010),
e9511.We
propose a
formal
language that
allows for
transposing
biological
information
precisely and
rigorously
into
machine-readab
le
information.
This language,
which we call
Zsyntax (where
Z stands for
the Greek word
zetaomegaeta,
life), is
grounded on a
particular
type of
non-classical
logic, and it
can be used to
write
algorithms and
computer
programs. We
present it as
a first step
towards a
comprehensive
formal
language for
molecular
biology in
which any
biological
process can be
written and
analyzed as a
sort of
logical
"deduction
".
Moreover, we
illustrate the
potential
value of this
language, both
in the field
of text mining
and in that of
biological
prediction.Gio
vanni Boniolo,
Marcello
D'Agostino,
Pier Paolo Di
Fiore
Source: PloS one, Vol. 5, No. 3. (3 March 2010), e9511. - TopoToolbox: A
set of Matlab
functions for
topographic
analysis: Environmental
Modelling
&
Software, Vol.
25, No. 6.
(June 2010),
pp.
770-781.TopoTo
olbox contains
a set of
Matlab
functions that
provide
utilities for
relief
analysis in a
non-Geographic
al Information
System (GIS)
environment.
The tools have
been developed
to support the
work flow in
combined
spatial and
non-spatial
numerical
analysis. They
offer flexible
and
user-friendly
software for
hydrological
and
geomorphologic
al research
that involves
digital
elevation
model analysis
and focuses on
material
fluxes and
spatial
variability of
water,
sediment,
chemicals and
nutrients. The
objective of
this paper is
to give an
introduction
to the linear
algebraic
concept behind
the software
that employs
sparse matrix
computations
for digital
elevation
model
analysis.
Moreover, we
outline the
functionality
of the
toolbox. The
source codes
are freely
available in
Matlab
language on
the authors'
webpage
(physiogeo.uni
bas.ch/topotoo
lbox).Wolfgang
Schwanghart,
Nikolaus Kuhn
Source: Environmental Modelling & Software, Vol. 25, No. 6. (June 2010), pp. 770-781. - Virtual
Reality as
Trojan donkey: Intelligent
Tutoring
Media, Vol. 7,
No. 2. (1996),
pp.
47-56.Brian
Smith
Source: Intelligent Tutoring Media, Vol. 7, No. 2. (1996), pp. 47-56.
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