Rhapsody Introduces Ai For Identity With Rhapsody Autopilot

By Author: James Colin
Total Articles: 215
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In a landscape where the volume of healthcare data is rapidly increasing, the management of identity data governance has become a significant challenge. Rhapsody Autopilot addresses this issue by replicating human decision-making processes to resolve data linking and quality concerns. By automating preferred actions, this technology improves the credibility of downstream processes and reduces the burden on data stewards and end-users like healthcare providers. This decrease in duplicate records not only enhances patient safety and care quality but also boosts operational efficiency.

Sagnik Bhattacharya, the CEO of Rhapsody, highlights the importance of utilizing AI to automate data stewardship, aligning with the goal of enhancing data quality while cutting costs. With Rhapsody Autopilot, the performance of teams and products is enhanced, overcoming challenges caused by poor data quality and incomplete information.

The machine learning technology integrated into Rhapsody Autopilot ensures consistent decision-making, reflecting the choices an organization would typically make. Healthcare institutions that have implemented this technology have experienced decisions that align with organizational matching criteria with an impressive accuracy rate of 98%, resulting in significant time and resource savings. By automating data stewardship, teams can save substantial amounts, equivalent to $.

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