The global healthcare industry faces three key challenges.
First is the requirement for cost reduction without jeopardizing the quality and
management of healthcare services for everyone. The second challenge involves
the significant increase in healthcare concerns, ranging from rising rate of
chronic diseases, aging population and the dynamic consumer demands, including
accessibility and health care expectations. The third is the shifting paradigm
in healthcare characterized by reactive healthcare system to proactive health
care system.
Medical data represents a large, rapidly growing, and mostly unstructured data residing in multiple locations including lab and imaging systems, physician notes, medical correspondence, claims, CRM and financial systems. With resizing costs with the healthcare industry, there is an imperative to reduce the cost of care and efficiently manage resources without compromising patient care. Healthcare organizations have the opportunity to leverage big data technology to perform analytics to improve care and profitability.
Medical data represents a large, rapidly growing, and mostly unstructured data residing in multiple locations including lab and imaging systems, physician notes, medical correspondence, claims, CRM and financial systems. With resizing costs with the healthcare industry, there is an imperative to reduce the cost of care and efficiently manage resources without compromising patient care. Healthcare organizations have the opportunity to leverage big data technology to perform analytics to improve care and profitability.
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This research evaluates the healthcare landscape and the factors which are facilitating the need for incorporation of big data technologies and solutions. This research also evaluates the need for a data-driven healthcare organization as a new paradigm to determine quality metrics, data source integration, and data security management. The report assesses big data relative to organizational goals for achieving a comprehensive healthcare system.
The report also focuses on the opportunities to leverage big data in healthcare for improved healthcare operations in terms of cost reduction including fraud detection. Mind Commerce evaluates key players including Explorys, Humedica, InterSystems, Pervasive, Clinical Query, GNS Healthcare, OmedaRX, and Sogeti Healthcare. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.
Target Audience:
Data analytics companies
Big Data application developers
Telecommunications companies
Big data management companies
Healthcare institutions of all types
Investors in Big Data infrastructure
This research evaluates the healthcare landscape and the factors which are facilitating the need for incorporation of big data technologies and solutions. This research also evaluates the need for a data-driven healthcare organization as a new paradigm to determine quality metrics, data source integration, and data security management. The report assesses big data relative to organizational goals for achieving a comprehensive healthcare system.
The report also focuses on the opportunities to leverage big data in healthcare for improved healthcare operations in terms of cost reduction including fraud detection. Mind Commerce evaluates key players including Explorys, Humedica, InterSystems, Pervasive, Clinical Query, GNS Healthcare, OmedaRX, and Sogeti Healthcare. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.
Target Audience:
Data analytics companies
Big Data application developers
Telecommunications companies
Big data management companies
Healthcare institutions of all types
Investors in Big Data infrastructure
Purchase a copy of Market visit @ www.orbisresearch.com/reports/index/big-data-in-healthcare-2015--2020.
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