Technology: Process with lesser human validation and management
Automation in Healthcare is still in its early nascent stage. There is an enormous opportunity to make the end-to-end process highly automation dependent and shed off the lean, mundane process.
At iMagnum, we are believers in the theory of building a resilient, admirable, and accountable technology that can spread the wings to a larger spectrum of this healthcare industry with higher ROI.
Our experience in this industry for several decades and our unmatched wisdom enabled us to dream big in developing such a platform.
1. FRONT – REVENUE CYCLE
iMagnum checks for primary and secondary coverage at multiple points during the patient’s journey in order to reduce denials and update records to provide on-time and up-to-date information before and after a point of service.
2. Mid Revenue Cycle
Auto-coding engines: our platform developed using NLP algorithm trained to predict the CPTS AND ICDS. We have leveraged millions of data to make the best-in-class predictive analysis for train our machine learning platform with cross-references from denial trends and patterns that are huge time delay process to get the reimbursement.
3. Patient financial services
iMagnum increases cash flow and reduces write-offs by prioritizing claims early, frequently, and thoroughly. It goes above claim status by taking actions to resolve claims, such as submitting corrected claims and simple appeals. It helps to minimize rework and allow staff to concentrate on other complicated appeals.
Increase the cash flow and accelerate revenue recognition by submitting remittances, resolve credit balances, and identifying and reconciling payment variances.
Assure on-time and accurate filings by proactively reviewing the claims before reimbursement.