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 to hidden costs.
MCheck allows the end user to drill down to every data discrepancy hence accelerating corrective measures. The tool identifies a targeted list of medical charts that should be reviewed, target codes for nurses/coders and automated solutions to search for in these charts.
The few proactive data quality management solutions that do exist are generally rules-based. They can handle only those types of data quality errors that organizations are already aware of. It cannot find new or unknown scenarios of data errors.
The tool identifies potential members with the highest probability of inaccurate/incomplete coding. In addition, it generates, with at least 90% confidence, a list of missing/inaccurate codes for each potential member.
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.