Tackling the Triple Aim for patient populations is a tall order. But data, the cloud, and predictive analytics engines are proving up to the challenge. Two practical case examples demonstrate how this technology offers scalable solutions with measurable impact.
The trio of top challenges at the heart of today’s healthcare industry are formidable. A solution that can simultaneously deliver high quality care, reduce costs and improve population health is one that requires precise alignment of innovative technology, people and processes—characteristics that can be hard to find on their own, much less all in one solution. But workable, scalable solutions that are moving the needle do exist and healthcare providers looking to get in on the action at any level can learn from their examples.
This session explores two real use cases from each end of the technology spectrum: One, a cutting-edge application that combines behavioral science with IoT and real-time big data technologies (Apache Spark, AWS EMR, Apache NiFi, and no-SQL databases); The other, an intervention scheme of care built on data and predictive analytics; both, using real-time data to drive tactical interventions at critical care moments and make measurable improvements in the health and wellness of patient populations.