Use data analytics and visualization to discover new knowledge and insights buried in your data to make important decisions to improve patient experiences and outcomes.
The ability to analyze healthcare related data requires integration of various types of data from their related sources such as electronic medical records, doctors notes, insurance payments, healthcare exchanges, social media and patient satisfaction. The interrelationships between all the associated fields provide the traceability and interoperability required to pull meaningful information out of raw data. Real-time, predictive analytics let you gain insight not only to past performance but also indicators of future performance. Additional features such as real-time data feeds, embeddable analytics and machine learning algorithms help to keep this knowledge current and relevant to clinical, financial and business operations. iOS works with a variety of toolsets to perform the analytics and visualizations needed, depending upon specific customer analysis, visualization and delivery requirements.