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Government healthcare providers and payers are adopting big data analytics to lower costs while improving outcomes. The need is urgent. The Centers for Medicare and Medicaid Services (CMS) predicts that health spending will grow 1.2% faster than the gross domestic product (GDP) from 2016-2025. In the same period, healthcare costs will rise from 17.8% to 19.9% of the GDP.
Analytics provide the foundation for a growing number of government healthcare initiatives. These include population health management, value-based care, fraud and waste reduction, precision medicine and bioinformatics, real-time patient monitoring, hospital re-admissions reductions, and clinical decision support.
In order to succeed with analytics, analytics software and your underlying data platform receive the most attention. Compared to proprietary platforms, open source technologies make it faster and less expensive to:
• Integrate healthcare data from multiple sources and in different formats into a 360-degree patient view.
• Ingest and respond to real-time or near-real-time data, such as data from wearable heart or glucose monitors.
• Minimize storage costs by automatically deciding whether to store or discard incoming data as it arrives.
• Detect and respond to critical events, for instance, sending a message to a clinician and patient if a patient has not refilled a prescription.
• Quickly modify automated rules as policies change.
• Comply with security and privacy requirements, such as protecting personal health information (PHI) and personally identifiable information (PII).
• Utilize existing identity management systems and adhere to existing policies.
Read this whitepaper to understand the important role your data platform plays across a variety of popular healthcare analytics use cases.