Historical data from the source system and the target from a specific business area(s) are fed into MCheck to learn the inter system patterns. The test data is run through MCheck, resulting in automatic generation of inter-systems discrepancies
MCheck allows drill down of every data discrepancies hence accelerating corrective measure. The solution also offers easy configuration of traditional deterministic queries to compare source and target systems.
Today after the load, the dashboard shows discrepancies in the data counts without any drilled-down details. This not only takes up more time but adds up hidden costs
AI-based analysis of source data to avoid carrying incorrect records to the new system. For example: Providers incorrect network associations, Unbalanced claim records Servicing providers’ incorrect affiliations to billing providers
Quick data ingestion on our MGest platform which is compatible with most of the data source systems in the industry. Data security insured through virtual or cloud systems
We at HiLabs are making businesses better for several of the country’s health plan. We understand your needs, are flexible to customization and are ready to bring in the change through our rich experience in this industry