
Partnering for card processing service
TSYS Healthcare, a division of TSYS which provides end-to-end solutions for consumer-directed healthcare, is signing an agreement with Acclaris, an enterprise solutions company which provides services including card processing (view press release). The partnership aims to provide solutions for consumer-driven healthcare offerings, flexible spending accounts and other reimbursement account administration for health plans, third-party administrators, outsourced human resource organisations and banks.
“This integrated payment solution provides an alternative for plan administrators who need more functionality in their benefit card programs. As these programs continue to grow in numbers and complexity, TSYS continues to lead the way with our ability to support sophisticated plan designs on a single benefit card,” said Trey Jinks, group executive, TSYS Healthcare. “With our focus on client-driven innovation, we’re pleased to bring this solution to the healthcare sector, continuing our long-term commitment to this industry.”
Whitepapers
Related reading
Central banks best suited to issue digital currencies
By Aaran Fronda A recent report by the Official Monetary and Financial Institutions Forum (OMFIF) said that central banks rather than private ... read more
Instant payments: innovations inbound for corporates
In 2020, instant payments look set to continue their current trajectory to become the biggest trend in payments. While these schemes already offer numerous benefits to corporates, leveraging innovations such as APIs and request to pay will go some way to unlocking their full potential, argues Michael Knetsch
Obstacles exist for banks to meet ECB’s instant payments goal
The cost of joining instant payment platforms will be one of many hurdles banks and payment services providers must overcome to meet ... read more
Banks must be aware of “biases” in data used to train ML models
Financial institutions need to be conscious of biases in the historical data that is being used to train machine learning (ML) models, ... read more