Predict Aging  and denials when claims are submitted. Predict payments based on procedure codes. Increase revenue - focus on high performing procedures and insurances. Predict Denials and Prior Authorization scenarios before submission. 10+ Revenue reports (Aging, Top errors, Top performing procedures and insurances, denials and more )

Our AI models focus on creating and automating  work queues and assigning based on utilization. HiPaaS Payment Posting automates repetitive payment posting tasks and fixes repeating data errors

HiPaaS Payment Posting App is on Conection Hub. It integrates with EHR worflows and posts the reconciled payments back to the EHR systems. HiPaaS Payment Posting works with several leading EHR systems.

We provide eligibility verification interfaces to clearing house, insurance companies, CMS, DDE to ensure eligibility before submitting claims or while researching denials

Integrated Gen AI to explain reason codes and denial codes. We also provide  options to fix it based on knowledge base. HiPaaS provides configuration based automation to fix and resubmit repetitive denials.

Complete workflow to receive, understand, fix and resubmit denials can be configured to your internal processes. Integrated with on demand eligibility & Prior Authorizations checks

Save time and manual errors in medical coding. Our AI engine automatically corrects the coding, validates the codes and suggests changes. Enable complex coding rules and automated data fixes. Reduce rejections and denials and increase coding productivity

Automatically reconciles 837, 835, electronic remittance advice (ERA), treasury records, lockbox transactions and Self Pay. Compare 837 and ERA side by side. Auto load paper claims and ERAs.

We also automatically identify self pay and integrate to payment. Easily upload your self pay payment files, lockbox files and automate payment posting.

Submitting Prior authorization with all required data and reports is crucial. HiPaaS provides end to end workflow to submit and manage prior authorization including submitting supporting data and follow ups