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Healthcare digital payments lag behind revenue struggles

By Retno Wulandari November 12, 2026
Healthcare digital payments lag behind revenue struggles - healthcare digital payments
Survey of 150 healthcare executives exposes fragmented operations as the core barrier to digital payment efficiency.

The findings of a survey involving 150 healthcare executives demonstrate a sharp divide between the rapid uptake of digital payment methods and the persistent inefficiencies in financial workflows. While 68% offer nearly all desired payment channels, fewer than 15% classify their entire revenue cycle as operating at an excellent level. This discrepancy shows a systemic problem where digital tools fail to deliver on their financial promise.

Fragmented operations lie at the heart of the issue. More than three-quarters of respondents report dedicating between 5% and 20% of employee time to correcting errors or resolving exceptions in payment processing. Additionally, 83% confirm that disruptions in payment systems cause monthly financial closing processes to extend by at least 25% of their intended duration. The root cause, according to the survey, is the persistence of disconnected workflows and manual procedures that neutralize the benefits of advanced digital payment technologies.

Read Also: Global Payments boosts approval rates with Visa

In response, nearly all healthcare leaders surveyed intend to investigate how generative or agentic AI can address persistent challenges, including delayed collections, exception management, and administrative overhead. This growing interest reflects a broader industry trend toward adopting technologies capable of scaling alongside increasing operational demands.

For 56% of healthcare organizations, scalability has become a defining factor when evaluating strategic partnerships. This shift indicates a deliberate move away from fragmented, single-purpose solutions toward fully integrated systems designed to handle rising transaction volumes without requiring proportional increases in staffing or error-related costs.

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