Cognitive Computing in Healthcare
Cognitive computing is the reproduction of human thought procedures in an electronic form. Cognitive computing helps to identify risks and frauds. In healthcare sector it helps doctors to treat patients based on past data. The process is based on software bringing intelligence information. Cognitive computing need to manage complex and huge volume of data.
The demand for healthcare services is growing at rapid pace
due to constantly increasing number of people with chronic diseases. These days
approximately every one of two individuals has one or more chronic diseases,
and one of four has two or more chronic conditions. At the same time, there are
more medical information today about different diseases and their treatment
options than ever before.
According to IBM, healthcare data doubles every 2 years. It
is also calculated that doctors would have to read 29 hours each workday to
keep up with new professional insights. Obviously while dealing with this huge
information flow, doctors don’t have enough capacities to decide how
appropriate an option might be for a specific patient.
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These insights bring up several questions. How can we
benefit from explosion of information in healthcare industry? Is it possible to
cut the costs for people who seek healthcare treatment without sacrificing the
quality of such services? Or even improving it? How do we find a balance after
all?Image Credit: altabel
The answer lies in two words: cognitive computing. It is a
system that can handle massive amounts of unstructured data to enable a new
class of data interpretation and learning systems. Cognitive systems process
information by comparing it to a teaching set of data. So that the more data
such a system can analyze, the more it learns, and therefore the more accurate
it becomes with the course of time. To mimic the way the human brain works
cognitive systems use data mining, pattern recognition and natural language
processing.
The main advantage of these machine-learning systems is
their ability to find patterns in datasets too large and complex for human
brains to embrace. For doctors this means assistance of paramount importance in
keeping track of records and making accurate clinical decisions. IDC predicts
that by 2018 somewhat 30 percent of healthcare systems will be running
cognitive analytics against patient data and real-world evidence to personalize
treatment regiments. What’s more, IDC projects that during the same year
physicians will tap cognitive solutions for nearly half of cancer patients and,
as a result, will reduce costs and mortality rates by 10 percent.
For patients the ability of cognitive computing to act as an
advisor and give an additional opinion allows an extra level of assurance in
the service provided by the healthcare sector. Eventually the patients will
have more confidence in the service they are receiving. Besides, involving
cognitive computing into healthcare means availability of remote check-ups,
including areas with relatively little healthcare provision. It is predicted
that in the U.S., for example, in the nearest future 40% of primary care
encounters will be delivered virtually, which will be possible thanks to
cognitive systems.
Summing up, cognitive
computing can help:
·
Healthcare specialists to manage all the data
that is available to make more precise conclusions over the patients’
conditions
·
Patients by advising, and providing answers to
the questions they have
·
Decrease costs for healthcare services
As data becomes more complex and diversified, cognitive
computing will have an incredible impact on the healthcare industry.
Reference: http://blog.altabel.com/2016/12/26/cognitive-computing-in-healthcare/
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