The leader in population health management and medical management solutions, eQHealth recently partnered with IBM and became a user of the IBM Embedded Analytics Solution. The goal of companies’ partnership is to fortify eQHealth’s analytics capabilities in analyzing and pulling out meaning and value from structured and unstructured text healthcare data from care coordinator’s health risk evaluations, clinician notes, and other kinds of unstructured data.
The IBM Data Science Platform enables eQHealth to deploy SPSS Modeler for predictive modeling, Machine Learning, statistical analysis, text analytics, and decision optimization. It will also allow eQHealth to progress from data exploration to insight and production. The IBM SPSS Modeler also provides an easy implementation for Machine Learning and will advance existing prognostic modeling and risk stratification capabilities. Chief Strategy and Growth Officer at eQHealth Solutions, Mayur Yermaneni stated that IBM SPSS Modeler is idiosyncratic because of its ability to support many data sorts and sources, offer an assortment of algorithmic techniques and Machine Learning methods, all without the requirement for compound coding that lessening the task of amalgamation and speed to solution deployment. He also said that his company is looking forward to a long and productive relationship with IBM and the SPSS Modeler team.
eQHealth Solutions, established in 1986, is a population health management and technology solutions company that reaches millions of lives once a year across the nation. The company’s state-of-the-art and high-touch models comprise ground-breaking technology solutions, quality care coordination services, and focal point on high-quality outcomes and optimization of provider and payer networks. It also offers a wide array of entities including federal, state and commercial clients.