AI based Data-Migration

How do we solve this problem?

Our team of healthcare technologists and doctors went through iterations for years and achieved an out-of-the-box solution which is a combination of AI, healthcare knowledge, and customized big data frameworks. Our solution does comprehensive testing via pattern-based comparison of data between source and target and accommodates transformation rules within data patterns. The robust Pattern Learning and multiple testing iterations identifies the Inter-systems gaps.

Comprehensive testing between systems

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

AI-based rapid root cause analysis

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.

Proactive approach to detect data migration issues

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

MCheck Solution

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AI-based analysis of source data

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

Easy data ingestion with insured security

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

Let’s make an impact

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


About HiLabs, A cohort of experienced Engineers, Data Scientists and Physicians.

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