New York, New York (NetworkNewsWire) – The health care industry
continuously generates and processes massive amounts of data, but
it lacks an overarching intelligence technology system that can
pull all of this information together and analyze it in a coherent,
unitary manner. There are thousands of separate computational
systems in the health care sector at the moment, each with its own
programming and function – be it to store medical records, patient
activity and lab test results or to perform billing and scheduling.
In addition, major medical specialties sometimes have their own
information technology systems, using different, often
non-compatible software, devices or equipment. More often than not,
these systems are obsolete and unable to process the rising volume
of data in their sector, but this situation is slowly changing, as
a growing number of leading tech companies such as ORHub,
Inc. (ORHB) (ORHB
Profile), Teradata Corp. (TDC), Hortonworks, Inc. (HDP),
Tableau Software, Inc. (DATA) and MicroStrategy,
Inc. (MSTR) work to develop advanced technology to unite
or replace existing systems and improve the health care industry’s
interoperability.
Recent technological advancements and the rise of smart mobile
technology have triggered a massive boost in data generation across
all medium and businesses, increasing the need for more efficient
data mining and analysis tools. According to a
PricewaterhouseCoopers and salesforce.com, Inc. (NYSE: CRM)
infographic(1), most businesses can’t cope with this
data influx because of outdated IT infrastructure, disparate
systems and business unit silos. In turn, data locked in disparate
systems hampers the decision-making process, ultimately leading to
poor performance and loss of business. A total of 41 percent of
CEOs complain about legacy systems not being able to make sense of
large volumes of data coming from different sources, while 30
percent say they have trouble identifying useful data for their
businesses, the infographic reveals.
Similar problems are plaguing the health care system, which is
in need of a cost-effective way to unite all the different data
gathering and processing tools it uses into one coherent whole. The
system is gradually moving toward this target, with several leading
technology providers in the field already testing more flexible,
innovative solutions such as the cognitive health care concept
developed by IBM’s (NYSE: IBM) Watson Health division. Cognitive
computing and the development of an OS-like system that would be
able to process impressive amounts of data from many different
sources would change the health care industry significantly by
bridging the gap between data and informed strategies, as IBM CEO
Ginni Rommety noted at this year’s Healthcare Information and
Management Systems Society meeting.
Novel cloud-based software platforms such as the one developed
by ORHub, Inc.
(ORHB) are a clear step in the right direction. With a
focus on the value-based approach, which places the patient at the
center and rewards health care providers based on actual,
quantifiable results instead of number of services provided, the
ORHub platform aims to revolutionize surgical care. The system is
offering enhanced capabilities and empowering care providers to
work together, organize, deliver, measure and reimburse in a single
easy-to-use platform. ORHub’s Surgical Resource Management platform
is data-driven and focuses on correct data analytics and tracking
of patient history, including diagnosis, treatments, procedures,
results, associated costs and more. Enabling data analysis across
different health care units, this system can help address various
issues, such as inventory status, costs of comparable surgeries,
etc.
In addition to its enhanced capabilities, what makes ORHub’s
platform truly stand out is its cost effectiveness. Major
information technology rollouts in the health care industry
typically last very long durations and cost millions of dollars.
However, pilot installations of ORHub’s system have been completed
in less than a month. So far, the system is in use at a major
hospital in Southern California and a large non-profit hospital
system, and plans are in motion to run three additional pilot
programs before national launch. This platform was implemented so
quickly due to its comprehensive and collaborative approach, which
avoids integration with legacy systems completely. This unique
approach generates real-time, uniform metrics, making it ideal for
any large health care providers trying to improve its software
systems across the board at several facilities.
A highly complex approach to health care data analytics comes
from analytics solutions leader Teradata (TDC).
With a wide range of analytic data solutions that include software,
hardware, business consulting and intelligence, data discovery and
integration and more, Teradata helps health care providers and
insurers interpret and transform data into useful insights that
lead to a better understanding of patients, products, processes and
opportunities. By tapping into the potential of diverse data from
multiple sources, Teradata empowers the health care segment with
new capabilities in areas such as data-driven consumer engagement,
population health management, data-driven risk management and
finance, value-based reimbursement analytics, mHealth biometrics
analysis, and care coordination operations.
Offering a comprehensive class of enterprise data management
solutions built around open source technology, Hortonworks
(HDP) provides the Big Data technology components needed
to build a health care data-centric structure without the need to
replace existing infrastructure. Hortonworks already works with
various health care industry players to transform the segment via
its open source data platforms powered by Apache™ NiFi and Hadoop®
technology, with the purpose of making all health care data
available and actionable. The company recently announced that
Clearsense, a leading developer of advanced data ecosystem and
applications in the health care field, is using Hortonworks Data
Platform® and Hortonworks DataFlow™ to capture data generated by
health care organizations across the U.S. and process it via
advanced analytics to provide real-time intelligence.
With a focus on helping health care providers identify and
manage their data more effectively for operational excellence,
leading visual analytics company Tableau Software
(DATA) offers a simple and intuitive approach to data
analytics. Users can easily connect to all of their data by simply
dragging and dropping, without any additional scripting required,
gaining a holistic view of patients and their history, risk
identification and management, compliance to new regulations, and
more. Tableau technology is already being used by several health
care organizations and health care technology providers. The
company’s main business analytics software products include Tableau
Desktop for individual data analysis; Tableau Server for business
intelligence based on data management and scalability features;
Tableau Online, a SaaS version of Server; and the cloud-based
Tableau Public platform.
A whole host of integrated health care technology solutions that
can form an OS-like ensemble in efficiency and functionality comes
from a leading provider of enterprise software platforms worldwide,
MicroStrategy (MSTR). The company offers various
data discovery, analytics, business intelligence systems and
services for multiple devices and industries. It provides the
health care industries with an impressive number of data analysis
solutions designed to improve different areas of activity from
supply chain management and revenue cycle optimization to
population health management, fraud and abuse cases, overall
hospital performance and operations, and individual doctor
performance. Additionally, it can provide secure patient and staff
digital IDs, along with a series of mobile applications that can
enable remote care delivery and claims analysis.
The health care system is steadily moving toward widespread
implementation of advanced technology that can make sense of the
massive amounts of data it generates. An OS approach exists in some
places, but this model needs to be applied across the board for
better results and for building a unified system that is both cost-
and resource-effective.
Source: (1) http://nnw.fm/LpxD0
For more information on ORHub, Inc. please visit: ORHub (ORHB)
or https://www.orhub.com
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