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What Big Data, EHR Vendors Do Accountable Care Organizations Use?
Choosing the right big data analytics vendor is just as important as picking a great electronic health record, especially for accountable care organizations with value-based reimbursement on the line.
By - Selecting a vendor for an electronic health record, big data analytics system, or population health management tool can be a difficult process for a healthcare provider – and it only gets harder if that provider wants to participate in value-based care.
Accountable care organizations (ACOs) are founded on the ability to communicate with each other, coordinate services, and analyze the activities of their attributed patients.
But since many ACOs are partnerships between providers and care sites that may not have worked closely together in the past, many ACOs find themselves juggling multiple technologies, varying levels of health IT sophistication, and vastly different vendors as they struggle to achieve their quality and revenue goals.
ACO Success Relies on Population Health Management Tools
Accountable care organizations need to develop a robust population health management infrastructure to achieve savings and improve the quality of care.
- Healthcare providers who wish to succeed as accountable care organizations have to address a lengthy checklist of tasks, strategies, and technologies long before they can hope to accrue shared savings from Medicare or a private payer.
Developing the partnerships and population health management techniques to stratify patients, communicate effectively, meet demanding quality measures, and slash costs can be a difficult journey – and one that is nearly impossible without a robust health IT infrastructure to form a solid foundation of data-driven insights.
South East Michigan Accountable Care (SEMAC), a physician-owned participant in the Medicare Shared Savings Program (MSSP), has learned that data analytics and population health management technologies are a smart investment for success in the challenging environment of value-based care.
Providers Look to Healthcare Analytics But Lack Strategy
By - Despite significant interest in leveraging healthcare analytics, few healthcare organizations have the necessary strategy for blending financial, operational, clinical, and other data effectively, according to a recent Deloitte Center for Health Solutions survey.
Comprising responses from CIOs, CMIOs, and senior leaders from 50 health systems, the survey also finds healthcare data analytics adoption and spending falling short of industry predictions despite support for leveraging these emerging technologies for value-based care.
"As the shift from fee-for-service (FFS) payment models to VBC continues — including Medicare’s plans for increased value-based payments by 2018 — organizations will need to blend financial, operational, clinical, and other data to achieve their goals of improving quality, providing access, controlling cost, and managing provider networks," the report states. "A fragmented analytics strategy will not support effective integration of such data."
Overall, few health systems were capable of making use of healthcare analytics. According to Deloitte, less than half of respondents had a "clear, integrated analytics strategy"; one-quarter lacked an appropriate data governance model; one-third were unaware of their organization's spending on healthcare analytics; and one-fifth currently employed a decentralized model for healthcare analytics.
