Ontash
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AI and Predictive Data Analytics

Extract valuable insights from your data using reporting & visualization tools. Model your domain using Machine Learning and/or Rule Based AI Engines to make actionable predictions on what is going to happen next. Ontash can show you how to get the most insights out of your data.

There are multiple approaches to getting the most out of your data. First you have to build an infrastructure to capture data from where it is produced, and store it for analysis.

Analysis can be as simple as looking at your data using a reporting or visualization tool such as Tableau or JasperReports and also using conventional statistical analyses using tools like RStudio.

For more sophisticated analysis one can build an AI Rule engine to infer patterns in the data by programming rules provided by domain experts. In the case where this is not possible, or if one is trying to discover patterns which experts do not already comprehend, one can use machine learning to build a model of your data. This model can then be used on new data to make predictions on what will happen next.



Ontash uses Big Data Analytics to reveal reimbursement opportunities for client hospitals. SSI/SSDI reports like the one above, drill-down into the federal government’s HCRIS data bank – a 1TB database – for information that feeds an algorithm for revenue opportunites.



Ontash AI creates a model of the perfect SSI/SSDI candidate, then compares hospital data to the model, predicting likelihood of successful disability application. Award/denial outcomes are input into the system, updating the model on a continuing basis. This improves predictive analysis automatically – so that resources may be allocated to those candidates most likely to be awarded disability.
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