HomeLedger Run first to bring AI-powered automation to clinical trial payments

Ledger Run first to bring AI-powered automation to clinical trial payments

Ledger Run, a leader in clinical trial financial management solutions, has announced significant upgrades to its ClinRun platform, including intelligent automation and expanded flexibility to accelerate clinical trial payment operations.

Continued investment in ClinRun reflects Ledger Run’s commitment to leveraging advanced technology to reduce administrative burden, improve data accuracy, and help sponsors and contract research organisations (CRO) pay research sites faster.

The American Society of Clinical Oncology (ASCO) reported 6,710 open trials in 2024 across just 1,836 sites, a ratio of approximately 3.7 trials per site. This disproportionate site-to-trial ratio is growing, especially with the increased need for specialty sites that have experience in novel sciences such as cell and gene therapy and radiopharmaceuticals. Experienced sites are in high demand, and a positive payment experience can determine whether a sponsor becomes a preferred partner or is excluded from future opportunities.

Many organisations spend as much as 70% of their time manually tracking and processing site invoices, causing payment delay and site frustration. Ledger Run is addressing this bottleneck and relieving the burden from sites using AI to automatically extract relevant information from invoices and accurately match it to the right budget categories. It is the first step toward fully automating the invoice process while not requiring sites to change their procedures – accelerating payment operations to ensure sites are compensated correctly and faster.

In addition to AI capabilities, Ledger Run has expanded ClinRun’s foundation to deliver:

  • Enhanced electronic data capture (EDC) handling: teams now enjoy more flexibility with the EDC import automation that drives payments. This reduces manual effort, simplifies payment data integration, and ensures that payments are based on the most current data supporting varying payment cadences.
  • Improved compliance with advanced audit trails: now, increased detail for every payment decision and workflow change is captured in real-time for an expanded audit trail across key payment and organisational data workflows. Audit questions can be answered quickly without manual reconstruction for stronger compliance, accountability, and operational oversight.
  • Expanded advance-payment capabilities: sponsors and CROs can now configure advance balances at the invoiceable item level, affording more flexibility and control over how payment terms are applied. For example, customers can configure how advance balances are applied across payees, study visits, and invoiceable items, enabling more precise payment execution and ensuring payments align accurately with contract terms.
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