Delays in the pre-authorization claims process do more than just disrupt cash flow—they drive up operational costs and cause immense anxiety for patients waiting for care. Aconiq is an innovative AI-driven preventative tool designed to eliminate these costly bottlenecks between hospitals and insurers right at the source.

• Eliminate Redundant Workflows: Eradicate the burden of “double keying.” Aconiq automatically scans and extracts necessary information directly from electronic medical records (EMR), freeing your administrative staff from manually re-entering data into separate insurer web portals or claim forms.

• Enhance the Patient Experience: The agonizing wait for financial clearance is a major source of patient suffering. By accelerating approvals, hospitals can relieve this anxiety, deliver immediate peace of mind, and provide a truly superior standard of care.

• Maximize AI & FWA ROI: Automated AI and Fraud, Waste, and Abuse (FWA) systems frequently fail due to poor data quality or missing medical context. Aconiq ensures data is clean, structured, and clinically complete before submission, preventing a “garbage in, garbage out” scenario.

• Reduce Operational Costs: By guaranteeing complete data upfront, Aconiq eliminates the costly back-and-forth communication with hospitals and reduces the need to hire additional staff for manual case reviews.

• Precision in Policy Adjudication: Accurately translate complex medical terminology into precise ICD-10 and procedure codes. Aconiq automatically evaluates data against shifting health policy conditions—such as the 2021 updates to surgical classifications—preventing incorrect benefit payouts.

• Protect Brand Reputation: Swift and accurate claim resolutions eliminate the primary cause of customer dissatisfaction, safeguarding your brand’s reputation in a highly competitive market.

Aconiq drastically reduces a claims cycle that traditionally takes up to four days down to mere seconds. Restore peace of mind to your patients and peak efficiency to your organization.