Health & Safety Industry Today
Future Huge Opportunities for Big Data in HealthCare Market | Top key Players Profile | Forecast to 2022
There are three major factors which is driving the market of Big Data in Healthcare market such as: technological advancement, reduce healthcare costs & government initiatives. Technological advancement talks about the key developments like mHealth, IOT & wearable devices, government initiatives like release of data from the agencies like FDA & CDC are helping in the research activities. Going ahead pressure to curb healthcare costs are also playing very important role in the overall development of big data
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Recently, “Dignity Health” one of the largest health systems in the US, is working to develop a cloud-based, big data platform powered by a library of clinical, social & behavioural analytics. Over time, the platform will connect and share data across the system’s 39 hospitals and more than 9,000 affiliated providers. Dignity Health planning to use data in best possible way, such as: Plan care for individuals and populations, including predictive disease management. Define and apply best practices to reduce readmission rates. Predict the risk of sepsis or kidney failure, and intervene early to reduce negative outcomes. Better manage pharmacy costs and outcomes. Create tools to improve each patient’s experience.
“Express Scripts” handles millions of prescriptions annually through home delivery & retail pharmacies. “Express” using high powered analytics to crunch big data. They’re analysing individual patients so effectively, they’ll soon be able to alert health care workers to serious side effects before a medication is prescribed.
Virtual care & wearable health care technologies: - Technology is helping providers drive virtual care initiatives to increase quality of care & provide patients with more access
Project Data Sphere: - SAS is playing a key role in the development of industry-wide pharmaceutical data transparency. The goal is a secure, globally accessible data & analysis environment where multiple organizations can share anonymised clinical trial information. This would help scientists learn from research more quickly, and thus speed improvements in care
Big Data in Healthcare – Competitive Analysis
As the market seems to be attractive, growing and profitable, at the same time market has witnessed intense rivalry among existing competitors. Many new entrants expected to enter into healthcare big data market. There are many big players in the healthcare big data market such as: Epic System Corporation, Mckesson, Cognizant, Cerner Corporation, Dell, GE Healthcare, Siemens, Philips and Optum
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North America is the leading market of Global Big Data in Healthcare market. Currently North America is contributing maximum revenue to the market which is very high in comparison with other regions around the globe. The main reason behind this is the technological advancement in mHealth & IOT
Europe is having the, second largest market for Global Big Data in healthcare. And predicted that market will registered healthy growth in upcoming year. High growth is driven by, increasing competition among healthcare & pharmaceutical players, real time access to the information and data, growing need for crucial decision making process by using data and information sources, reduce chances of errors
Asia pacific is accounted for the fastest growing market. Growth is supported by increasing clinical trials in Asia Pacific region due to low cost labour, easily available resources, shift in trend towards data driven decision making process, huge population base.
“United Healthcare” the largest health insurer in the US, is processing data inside a Hadoop big data framework using big data & advanced analytics to give them a 360-degree view of each of its 85 million members. They’re using big data & advanced analytics for clinical improvements, financial analysis and fraud and waste monitoringHealthcare market has shown huge opportunity for big data due to: - Episode analytics: the move to value based payments is well underway & accelerating. The shift is putting unprecedented pressure on health care providers to better manage the cost & quality of care they deliver. Organizations that use big data to understand how well they’re performing, where they have opportunities to improve & their capacity to redesign care delivery.
Population health analytics: - The promise of big data & analytics in managing population health is one of the most hyped yet least understood opportunities in health care today
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Big data refers to the enormous amount of structured as well as unstructured data, which helps organizations to improve their decision making processes. The term big data might seem to refer huge volume of data, but that is not necessarily the case. It may also refer to technology analytics services such as descriptive, predictive or prescriptive that any organization utilize it to handle the data sets. Unstructured data refers to the data that does not have a standardized form. Around 80% of the data in the business organizations is unstructured and around 60% of the patient care information is in the unstructured format.
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