MongoDB is a critical part of our infrastructure because its dynamic schema allows us to inject patient data and maintains the fidelity at the Hospital yet still allows us to operate on it at runtime in a way that can deliver clinical outcomes
John Barry, Senior Platform Developer, Apervita
How can hospitals best use patient data to improve clinical results? A simple question with a complex answer.
For years, researchers have created predictive models to help health professionals prevent disease and deliver more effective care. Applying them to data has been time consuming and cost-prohibitive, stymied by the arduous process of integrating and maintaining embedded rules in siloed systems. Apervita solves this challenge with an open platform that allows authors to commercialize evidence-based algorithms, measures, pathways, protocols and data sets by transforming them into computable analytics.
MongoDB powers the Apervita platform, massively simplifying the process of connecting health data to analytics. Enhancing it with rich semantic meaning, MongoDB provides the scale and robustness required for a real-time big data environment. This gives clinicians the ability to run analytics and algorithms against their patients and deliver improved clinical outcomes.
Find out how to use MongoDB for big data and analytics in your business in our Big Data and Analytics whitepaper