Unstructured Data, Text Analytics, and Machine Learning Without Coding Will Now Be Integrated into Eqhealth Population Health Analytics
eQHealth Solutions, a leader in population health management and medical management solutions, recently became an IBM Business Partner and utilizer of the IBM Embedded Analytics Solution. The goal of the agreement is to strengthen eQHealth’s analytics capabilities in digesting and extracting meaning and value from structured and unstructured text healthcare data from care coordinator’s health risk assessments, clinician notes, and other forms of unstructured data. The IBM Data Science Platform lets eQHealth leverage SPSS Modeler for predictive modeling, machine learning, statistical analysis, text analytics and decision optimization. This will enable eQHealth to rapidly progress from data exploration to insight and production. The IBM SPSS Modeler also offers easy deployment for machine learning. Further, SPSS Modeler will enhance current predictive modeling and risk stratification capabilities.
eQHealth Solutions Partners with IBM to Enhance Visual Data Science Capabilities
eQHealth has employed data analytics and statistics to provide insights and decision support for clinical guidance and medical management process improvements for their clients and developed the first edition of the company’s proprietary Peer Utilization Review software (PURs) more than 25 years ago. Adding IBM SPSS Modeler is expected to provide an additional layer of functionality to existing competences.
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“IBM SPSS Modeler is distinctive because of its ability to support many data types and sources, provide a range of algorithmic methods and machine learning techniques, all without the need for complex coding easing the task of integration and speed to solution deployment. We look forward to a long and productive relationship with IBM and the SPSS Modeler team,” said Mayur Yermaneni, Chief Strategy and Growth Officer, eQHealth Solutions.
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