OTC Annual Report SitesHome{"id":158,"date":"2018-08-28T09:51:50","date_gmt":"2018-08-28T09:51:50","guid":{"rendered":"https:\/\/numbers.otc.duke.edu\/?p=158"},"modified":"2018-10-02T13:02:04","modified_gmt":"2018-10-02T13:02:04","slug":"sv-analytics","status":"publish","type":"post","link":"https:\/\/numbers.otc.duke.edu\/2018-report\/2018\/08\/28\/sv-analytics\/","title":{"rendered":"SV Analytics"},"content":{"rendered":"

[vc_row el_class=”breadcrumbs”][vc_column 0=””][vc_column_text 0=””][\/vc_column_text][\/vc_column][\/vc_row][vc_section el_class=”start-ups”][vc_row 0=””][vc_column width=”1\/2″][vc_column_text el_class=”management-section”]MANAGEMENT:<\/span>\u00a0Ryan D. Schulteis
\nDUKE INVENTOR:<\/span> Ryan D. Schulteis
\nschulteisventures.net<\/a>[\/vc_column_text][vc_column_text 0=””]SV Analytics specializes in the analysis of medical billing and healthcare claims data. We do more than your claims clearinghouse, more than your claims \u201cscrubber\u201d, and more than your denials management software. They use modern predictive analytics to forecast payer behavior allowing you to proactively anticipate changes in the healthcare financial landscape.[\/vc_column_text][\/vc_column][vc_column width=”1\/2″][vc_single_image image=”314″ img_size=”full”][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1535394535521{padding-top: 15px !important;}”][vc_column 0=””][vc_column_text 0=””]<\/p>\n

The Problem :<\/h3>\n
Hospitals and Healthcare Systems lose over $100B every year due to claims<\/div>\n
denials by insurance companies<\/div>\n
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The Solution:<\/h3>\n
Invariant reduces variation by forecasting changes in payer behavior, allowing hospitals to be proactive. It eliminates standalone excel analysts, providing a standard interface for healthcare revenue analysts.<\/div>\n
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