As the healthcare ecosystem continues to transition to value-based care models, we will see significant investments and related advancements in applications of machine learning – which is the underpinning of artificial intelligence (AI) of computers and processes used in healthcare.
An adaptive, flexible and integrated risk adjustment accuracy platform is needed to deliver actionable insights into patient data and drive meaningful improvements in today’s complex healthcare landscape. Technology that constantly refreshes the analytics so that you aren’t seeking to close gaps in care that have already closed allows for a more efficient and holistic look at your patient data.
In what can be seen as a huge win for all segments of the healthcare ecosystem, which was two years in the making, overwhelmingly passed in both the House of Representatives and the Senate, and President Obama signed the legislation on December 13, 2016.
Increased value. Better health outcomes. Lower costs. The Institute for Healthcare Improvement’s triple aim approach to healthcare has resulted in meaningful changes in healthcare delivery. Paramount among the drivers of this change is the need for greater access to patient data. Point-of-care analytics help providers improve health outcomes and care quality, while increasing efficiencies and financial performance.
Industry executives from across the healthcare continuum, including health plans, pharma/life sciences, government agencies, technology innovators and provider organizations, joined a powerful lineup of the nation’s most influential voices sharing thought-provoking keynote addresses, informative panel discussions and insightful breakout sessions gathered in Washington, D.C., for the 8th annual Inovalon Client Congress to address the programs and perspectives shaping the healthcare ecosystem.