期刊名称：International Journal of Computer and Information Technology
印刷版ISSN：2279-0764
出版年度：2018
卷号：7
期号：4
页码：139-156
出版社：International Journal of Computer and Information Technology
摘要：The increased dependency on information
systems in all spheres of our lives has led to the
exponential growth of electronic data. Therefore, more
and more digital information is becoming available and
readily accessible for decision making. However, the
constantly growing data is difficult to use due to
availability of too much information. In computing, this
has popularly become known as information overload
problem. In recent years, electronic health records have
gain wide acceptance in many healthcare delivery
settings which is changing the clinical health records
documentation in medical practice. Physicians therefore
routinely collect and document care of their patients
using electronic health records and thus generating
digital health records of patients during one or more
clinical encounters which can be leveraged to improve
healthcare delivery and clinical research. However, the
abundant availability of detailed patient information has
led to the problem of information overload which makes
it difficult to look for information within the health
record. It’s therefore difficult for users to find and
utilize information to improve patient care. In clinical
practice, many decisions require a doctor to read and
summarize one or many clinical documents which are
stored longitudinally, containing various medical
assessments or observations per patient. But, there is
always a limited time to read long and multiple
documents and make decisions during care episodes.
Users are therefore faced with an overwhelming amount
of information about their patients which requires much
time and effort to browse and review and make decisions
under time pressure. Despite these deficiencies,
visualization of textual documents has proposed as
efficient technique for summarizing clinical documents
so that it can be easily understood and consumed.
In this paper we review various text visualization
techniques, their applications in summarizing medical
documents. Further, we identify research gaps and give
an overview of our work in progress to address the
aforementioned problem and the gaps. Lastly, this work
follows a generalized conclusion on health data
visualization and references.
关键词：Healthcare; Summarization; Visualization;
Text; Electronic health records; Physician
