Problem Statement:
The manual process of assessing medical and financial approvals presents several challenges. Firstly, the process is prone to delays due to the time-consuming nature of manually evaluating financial information and documents. Secondly, the manual handling of resident profiles and document uploads in the PCC Portal introduces the risk of errors and inconsistencies, impacting the accuracy of assessments. Lastly, the lack of automation leads to inefficiencies in data extraction and dissemination, hindering the overall workflow and timely decision-making.
Solution:
- Automated approval process with RPA to reduce manual effort and accelerate document evaluation.
- Utilized OCR technology for accurate data extraction from financial statement attachments.
- Integrated with database for efficient storage and retrieval of resident information.
- Implemented dashboard for real-time visibility into approval requests status, improving transparency.
Benefits Realized:
- RPA implementation reduced processing time and enhanced accuracy with OCR technology.
- Increased operational efficiency, transparency, and stakeholder satisfaction.
- Improved service delivery through streamlined operations and accelerated decision-making.
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