54 / 90
Volume 5, Issue 8(Suppl)
J Nurs Care 2016
ISSN: 2167-1168 JNC, an open access journal
Page 86
Notes:
Euro Nursing 2016
October 17-19, 2016
conferenceseries
.com
15
th
Euro Nursing & Medicare Summit
October 17-19, 2016 Rome, Italy
Case reports analysis through determination of quality standards in the description of clinical
cases
Alexandra González Aguña, Jorge Luis Gómez González, Mª Lourdes Jiménez Rodríguez, Marta Fernández Batalla
and
Adriana cercas Duque
University of Alcala, Spain
T
he realization of reports that contain the clinical cases attended over the period of family and community nursing studies
is important. The problem of being a highly variable population makes these case reports hardly homogenized while data
collection. The manual construction of cases in natural language is highly costly to generate a sufficient number of clinical
documentation. However, this tool should generate a report describing the event that resembled as much as possible the
natural language clinician.
Aim:
The aim
is to validate
a tool to document
clinical cases in natural language
through of the
standardized fields
.
Methodology:
Transversal descriptive type of study was done with 84 cases during the month of June
and July 2014
.
Study
variables were
,
Independent
:
basic
conditioning factors, care variables
,
vital process,
and
time to complete
the report; and
dependents: quality
report
.
Results:
The data collected was a quantitative analysis in terms of three
types of items in
standardized language
.
Standard was
established as
the number
of each item
data were collected with
the tool. Later,
that standard was compared with manually
collected data by
residents of family and
community nurses
.
Conclusions:
The results
reflect
the difficulty
in specifying
the relevant data of a clinical case
.
This also demonstrates
the need
for
a formal structure to
improve the quality of
clinical reports
.
With
this tool it
improves the efficiency
and quality
in the
writing of the clinical cases
,
virtual newsroom versus
classical writing
,
has been demonstrated by
this study.
Biography
RN MSc Alexandra GonzálezAguña is PhD student in Computer Science Department in Alcala University.
alexandra.glez.aguna@gmail.comAlexandra González Aguña et al., J Nurs Care 2016, 5:8(Suppl)
http://dx.doi.org/10.4172/2167-1168.C1.031