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 you to drill down to every data discrepancy hence accelerating corrective measures. The solution also offers easy configuration of traditional deterministic queries to compare source and target systems.
For many organizations, after the load, their current dashboard shows discrepancies in the data counts without the specific details. This not only takes up more time but adds hidden costs.
AI-based analysis of source data helps organizations avoid carrying incorrect records to a new system. For example: A providers incorrect network associations is a result of unbalanced claim records and incorrect affiliations.
Quick data ingestion on our MGest platform is important to organizations. MGest is compatible with most of the data source systems in the industry. Our data security insured through virtual or cloud systems
At HiLabs, we are reducing exceptions for several of the country’s top health plans. We understand the needs of our customers and are flexible to customization. Our primary goal is to reduce costly errors for the healthcare industry.