WinterGreen
Research announces that it has published a new study Healthcare Decision
Support and IBM Watson Market Shares, Strategy, and Forecasts, Worldwide, 2013
to 2019. The 2013 study has 271 pages, 87 tables and figures. Worldwide
healthcare cognitive computing markets are poised to achieve continuing growth
as the healthcare delivery system responds to new products. Growth is achieved
in response to changing technology, better analytics, and new information
systems that leverage natural language, and changing market conditions.
Healthcare
decision support markets consist of traditional market participants led by
McKesson and Watson from IBM. IBM Watson offers structured and unstructured
data in combination. This represents a major breakthrough in what kind of
decision support can be offered.
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Full Report with TOC @ http://www.radiantinsights.com/research/healthcare-decision-support-and-ibm-watson-market-shares-strategies-and-forecasts-worldwide-2013-to-2019
IBM Watson
can provide a far more differentiated testing assessment. Watson knows what
tests are relevant to further characterize a particular patient condition and
what tests are not.
It is a
great help to physicians to have an assistant that is able to have read the
latest journal articles and is loaded with medical information to recommend
what tests may be relevant in a particular situation. Wrong tests, tests that
are not useful in a particular situation, account for 30% of the costs of
healthcare delivery in the US. This is a lot. To have a new system available
that addresses these issues is great.
IBM Watson
is initiating a new era of cognitive computing that extends the tabulator and
application program intensive enabling new market opportunities based on
cognitive performance. Watson is so powerful and so new that the uses for it
are not even defined yet. The tools and methods released by natural language computing
systems are remarkable. They are very exciting.
Watson is
comprised of a core engine. This engine is more powerful than anything that has
been designed by humans before. To the credit of IBM, the first purpose that
Watson has been put to is to improve healthcare delivery. To those analysts
following Watson, there is tremendous promise in the offing.
IBM
concentrates on building end to end systems that are able to adapt of market
changes. While this may make the IBM product set seem overly heavy in the short
run, in the long run, this is of enormous value to clients as proved by the
company market leading position in innovation software.
This
forecast below is predicated on the assumption that IBM makes available the
Watson cognitive computing capability worldwide as a SaaS tool immediately, and
people with smart phones learn that for five cents they can access solid
medical opinions relating to particular symptoms. This does not turn the
consumer into a healthcare provider, but it gives the consumer more power in
dealing with the physician and the provider.
Just as
the mother that took her child to the doctor this week in February 2013, and
said, "I think it is an appendicitis" and the doctor said "No,
it is influenza.", after the appendix broke and threatened the life of the
child, the mother was angry, the physician was apologetic. With Watson at her
side, the mother would have had more credible authority with the doctor.
This
scenario really happened to an esteemed marketing manager in Minnesota, USA
this week in February 2013. Watson has a lot to offer the consumer, without
making the consumer a doctor; it brings more information and authority to the
patient - physician interaction.
So also,
the physicians gain a valuable assistant at their side when they can access
Watson for $60 per physician per month. This cost represents two cents per
patient encounter, hardly a blip on the bill to the patient, but lends
incredible value to the patient - physician interaction, bringing the latest
research to bear on the physician diagnostic and therapeutic decision making
process.
Watson can
be loaded with the latest research results. No physician can track all the
latest medical research; there are intense volumes of it. Any one physician can
only hope to read a small portion of what is published in his or her own field.
Watson knows it all. It is available to share what it knows at a small fee.
Healthcare
decision support markets at $201.7 million in 2012 are anticipated to reach
$239 billion by 2019 as consumers access apps and these apps generate
micro-payments in increments of $.05 per query. Physician access is anticipated
to be at a cost of $60 per month per physician, and every facility will have to
give its physicians access to IBM Watson and cloud based healthcare decision
support.
Personal,
consumer queries are anticipated to account for 93% of the healthcare decision
support revenue by 2019. Growth is a result of new cognitive computing
technology availability. It is not enough to maintain a static position in a
market, nimble competitors steal market share away if innovation is not
pursued, this is increasingly true in the healthcare decision support markets.
Innovation provides competitive advantage and protection of market position.
Companies
Profiled
Market
Leaders
McKesson
InterQual
Millman
IBM
Truven
Market
Participants
Accenture
Aetna
AMD
American
Well Systems
Assa Abloy
AT&T
Boehringer
Ingelheim
Bosch
Bayer -
Viterion
Biotronik
BT
Buccaneer
Cardionet
Centerstone
Research Institute
ciCoach.com
Cisco
Cleveland Clinic
CMS
Deutsche
Telecom
eCardio
Diagnostics
Eliza Corp
EMC 5-24
Healthrageous
Honeywell
HomMed
Humedica
GlobalMed
Intel
Kaiser
Mayo
Clinic
Medical
Strategic Planning
Medullan
NTT
Partners
Healthcare
Philips
Polycom
PwC
Qolpac
Qualcomm
Sorin
Group
Sotera
Skype
Sony
Sutter
Center for Integrated Care
Telecare
Telesofia
Medical
Textron
Systems
VA
Department of Veterans Affairs
Verizon
Vidyo
Walmart
Worksmart
Check Out
These Key Topics
IBM Watson
Decision Support
Healthcare
Decision Support
Clinical
decision support
Decision
support criteria
Healthcare
Coverage
Automates
pre-authorization
Automates
eligibility
Helathcare
network coverage
Payment
estimation
Drive
real-time diagnostic test selection
Drive
real-time diagnostic test coverage
Behavioral
Health
Clinical
Evidence Summaries
Care
Planning
Retrospective
Monitoring
Clinical
guidelines
Support
for Clinician Decisions At The Point Of Care
Continuum
of healthcare
Cognitive
Computing
End To End
Systems
Better
Analytics
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