With increasing complexities and evolving consumer demands, digitisation of the claims process has become essential for insurers to ensure fast settlement & payment of claims as well as drive customer satisfaction and set standards of service. However, traditional claims processes involve intensive document-driven operations and the processing of non-structured data in multiple formats/nomenclature, making it difficult for insurers to process claims efficiently and quickly.
Traditional claims processes are manual and capture very limited data. This makes the process inconsistent and non-trackable, resulting in payment leakages
i3claim helps in capturing significantly more data-points in much lesser handling time. It reduces the extent of manual data capture and human errors in the entire claims process by more than 60%, making it much faster and extremely scalable.
Data comes from multiple channels such as papers, electronic documents, images, and emails in a non-structured format.
i3claim accepts data input from a variety of sources like Hospitals, Pharmacies and Diagnostic centres. It extracts, classifies, and standardizes non-structured data present across multiple documents.
Tariff agreement plans between insurers and hospitals are complex, data-heavy and complicated enough to be usable by only medical professionals
DigiTariff converts provider tariff agreements into structured data sets or excel sheets. Using DigiTariff, insurers can capture all items of a tariff agreement, while also standardising the expense items for price-comparison and analytics. The overall effort and cost would be 75% lower than the completely manual process.
Due to manual processing, the average discharge authorisation is anywhere between 1-4hrs.
i3claim reduces the claims process to a single queue, by automating several parallel activities. This improves efficiency and leads to a reduction in cashless discharge time from 4 hours to less than 30 minutes for 90% of the cases
Manually processing of invoices and complex tariffs lead to payment leakages to the tune of 3-10% of claim amount for every claim.
AI-assisted processing covers accurate capture of Non-payable and tariff comparison on 60% of the line-items. This has led to an average of Rs. 200-5000 savings per claim compared to manual processing.
Traditional claims processes are manual and capture very limited data. This makes the process inconsistent and non-trackable, resulting in payment leakages
i3claim helps in capturing significantly more data-points in much lesser handling time. It reduces the extent of manual data capture and human errors in the entire claims process by more than 60%, making it much faster and extremely scalable.
Data comes from multiple channels such as papers, electronic documents, images, and emails in a non-structured format.
i3claim accepts data input from a variety of sources like Hospitals, Pharmacies and Diagnostic centres. It extracts, classifies, and standardizes non-structured data present across multiple documents.
Tariff agreement plans between insurers and hospitals are complex, data-heavy and complicated enough to be usable by only medical professionals.
DigiTariff converts provider tariff agreements into structured data sets or excel sheets. Using DigiTariff, insurers can capture all items of a tariff agreement, while also standardising the expense items for price-comparison and analytics. The overall effort and cost would be 75% lower than the completely manual process.
Due to manual processing, the average discharge authorisation is anywhere between 1-4hrs.
i3claim reduces the claims process to a single queue, by automating several parallel activities. This improves efficiency and leads to a reduction in cashless discharge time from 4 hours to less than 30 minutes for 90% of the cases
Manually processing of invoices and complex tariffs lead to payment leakages to the tune of 3-10% of claim amount for every claim.
AI-assisted processing covers accurate capture of Non-payable and tariff comparison on 60% of the line-items. This has led to an average of Rs. 200-5000 savings per claim compared to manual processing.
i3claim is an intelligent automation solution that provides end-to-end claims automation.
It extracts, classifies, and validates over 300 data points in every claim document, reducing manual efforts, lowering costs by 50-80%, and making an accurate decision on every claim with a short turnaround time of 5 minutes.
Extraction and conversion of clinical data to codes
Identification of severe and co-morbid conditions
Care Package validation by Clinical AI models
Tariff Standardisation
Tariff Comparison
Extraction and Standardisation of invoice line items
Bill Head analysis
Identification of common non-payables
100% pre-trained models ensuring no model training required
Efficient extraction of data irrespective of format or nomenclature
Comprehensive rule-based algorithms to detect unusual cases & alert claim officers to approve/reject a claim
Effective management of claim submissions process via one interface
Automated case routing to the next available adjudicator to ensure a speedy process
Seamless API-based integration with legacy or third-party applications
Reduced TAT- Cashless claim discharge within 30 mins
300% improvement in FTE productivity
Accurate identification of non-payables
80% reduction in financial leakages
Scalable to 100% volume immediately,
instead of adding volume in phases
More than 95% of data captured
accurately via automation