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and salesforce.com, Inc. (NYSE: CRM) infographic(1), most businesses can’t cope with this data influx because of outdated IT infrastructure, disparate systems and business unit silos.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
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