Harness your data resources in healthcare

Data is growing and moving faster than healthcare organizations can consume it; 80% of medical data is unstructured and is clinically relevant. This data resides in multiple places like individual EMRs, lab and imaging systems, physician notes, medical correspondence, claims, CRM systems and finance. Getting access to this valuable data and factoring it into clinical and advanced analytics is critical to improving care and outcomes, incentivizing the right behavior and driving efficiencies.

Healthcare organizations are leveraging big data technology to capture all of the information about a patient to get a more complete view for insight into care coordination and outcomes-based reimbursement models, population health management, and patient engagement and outreach. Successfully harnessing big data unleashes the potential to achieve the three critical objectives for healthcare transformation:

Build sustainable healthcare systems

The healthcare industry is under competitive and legislative pressure to reduce the cost of care, efficiently manage resources and improve patient care. Societal changes, such as the way consumers expect to purchase and receive care; lifestyle choices including the use of social media and mobile technology; the continued rise of chronic disease; and the push to expand access to primary care are transforming the way healthcare is obtained, delivered and paid for.

Healthcare organizations are laying the foundation for enterprise health analytics enriched with big data to get a more insightful understanding of the patient in the context of who they are and driving effective resource utilization across the healthcare ecosystem.

Fletcher AllenTo better handle exponential growth in patient data, the healthcare organization Fletcher Allen turned to IBM for their solution. This allowed them to put refined analytic information in the hands of more medical practitioners to improve the quality of care.
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.Premier healthcare alliance is partnering with IBM to change the way data is used in healthcare by making it actionable to save lives, reduce costs and improve population health.

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Collaborate to improve care and outcomes

Healthcare organizations need to improve the quality and efficiency of care while cultivating patient centricity through engagement and healthcare personalization. Regulatory and marketplace changes require a deeper understanding and management of the risks within patient populations in order to drive better outcomes and reduce readmission rates.

Understanding the patient in the context of who they are as individuals is essential in creating effective programs that drive change. This can be achieved with clinical and advanced analytics enhanced with big data.

Increase access to healthcare

To improve the health and well-being of our population, we must find ways to increase access through more effective engagement. According to the McKinsey report on big data, an estimated 150M patients in the U.S. in 2010 were chronically ill with diseases such as diabetes, congestive heart failure and hypertension, and they accounted for more than 80% of health system costs that year. Engaging and educating consumers to make informed decisions about preventive care and provider networks can improve health and reduce demand and waste in healthcare.

Big data for healthcare resources

Featured healthcare experts

#Navdeep Ranajee

Global industry Leader – Healthcare, IBM

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