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The client is a leading U.S. healthcare payer. They wanted to build analytical models for machine learning and offer analytical services to both internal and external customers, including healthcare providers, developers and researchers.
The client is a large regional payer in the Northeast U.S. They needed to improve the handling of platform and application incidents to deliver higher quality services to their internal and external customers, eliminate errors, and manage peaks and valleys in the volume of incidents.
The client, a leading U.S. healthcare payer, was facing issues with their current platform, coupled with growing business demand for a unified platform for their community and state business, including support for Medicaid and other lines of business across 25+ states.
Syntel’s client, a leading North American insurer, wanted to eliminate performance bottlenecks caused by legacy applications, so they set out to modernize business-critical core systems by migrating to new platforms that would enable new technologies to be integrated.
Customer wanted a simple and flexible API management platform that appropriately exposes their data to internal teams, business partners, and third-party developer communities to enable existing and innovative solutions.
A leading health insurance company was facing issues resolving a large number of tickets stemming from recurring issues. The client decided to make a significant effort to fix these errors, so Syntel deployed a team of Kanban and Production Support and Maintenance (PSM) experts to quickly and permanently fix them. In doing so, we not only reduced the ticket count...
The client is a global medical devices company and a leader in cardiology and endovascular devices. They needed help understanding gaps between current and new FDA guidelines for Class III medical devices, in hopes of improving product quality and reducing the review time. They also wanted to map their existing test methods to the gaps and develop new test methods to close...
The client is a leading care solution provider in the U.S. They generate a huge amount of data in the process of delivering services, which is used to make informed decisions to improve healthcare outcomes and operational processes. However, the rapid growth of their business and a dramatic increase in data volume was quickly outgrowing their technology architecture’s...