Ensemble Rcm, LLC

Ryan Miller

Pieter Schouten

Michael Wilson

John Bradford Hunter

Embodiments of the present disclosure are directed to methods and systems for the timely processing of records exchanged between service provider systems and responsible entity systems by a records management and processing system. More specifically, the records management and processing system can maintain a set of rules defining conditions for processing records and associated actions to affect that processing upon satisfaction of or failure to satisfy the conditions of that rule. Updates to some or all of these records can be received from a data update service. The records management and processing system can apply the rules to the records and assign tags to the records based on the received update information and the conditions defined in the applied rules. The records management and processing system can then process the updated records according to workflows for processing the updated records based on the assigned tags and applied rules.

Workflow automation on policy updates

Embodiments of the present disclosure are directed to methods and systems for adapting workflows for the processing of database records. More specifically, the records management and processing system can maintain a plurality of records in a database. Each record can comprise a record of a service provided to a consumer by a service provider of a plurality of service providers. For each record of the plurality of records, an expected result from taking an additional action on the record can be determined. A set of records from the plurality of records and having a common attribute value can be determined based on the determined expected result for each record of the plurality of records. The identified records can be processed according to one or more workflows executed by the records management and processing system.

Adapting workflows based on expected results

Embodiments of the present disclosure are directed to methods and systems for processing of Electronic Data Interchange (EDI) files. More specifically, processing EDI files includes importing an EDI file into an initial data frame table. Each data segment of the EDI file can be imported into a different row of the initial data frame table and the rows and columns of the initial data frame table can comprise an array of fields. Vectorization processing can then be performed on the array of fields in the initial data frame table. A set of one or more target tables can then be populated with data from the imported EDI file based on performing the vectorization processing on the array of fields in the initial data frame table.

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Commerce City, CO, United States of America

Ryan Miller