Medical Underwriting Automation

Create standardized case reports from 100k+ patient health history records​

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The client is one of the largest non-bank private-sector life insurers.

Challenge

100k+ pages of patient medical history records in the scanned image format must be converted into structured and standardized case reports to aid underwriters​.

100k+ pages of patient medical history records in the scanned image format must be converted into structured and standardized case reports to aid underwriters​.

250+ SMEs were involved in this tedious task of reading and understanding medical documents Undetected non-standard clauses​.

250+ SMEs were involved in this tedious task of reading and understanding medical documents Undetected non-standard clauses​.

Case reports were created using manual data entry without any search capabilities. Case reports were delinked from source image files, severely hampering underwriters in their work.

Case reports were created using manual data entry without any search capabilities. Case reports were delinked from source image files, severely hampering underwriters in their work.

Risk evaluation was completely manual & subjective to the underwriters' analysis and understanding of the case.​.

Risk evaluation was completely manual & subjective to the underwriters' analysis and understanding of the case.​.

Botminds Solution

Botminds' AI-powered Risk Underwriting platform was deployed in the customer's client owned private cloud with adherence to the HIPPA regulations.

Botminds' AI-powered Risk Underwriting platform was deployed in the customer's client owned private cloud with adherence to the HIPPA regulations.

Botminds' AI-no-code platform only requires point and clicks activities to train AI and captured the organization's unique risk profile using SME activities within the platform to standardize the risk severity​.

Botminds' AI-no-code platform only requires point and clicks activities to train AI and captured the organization's unique risk profile using SME activities within the platform to standardize the risk severity​.

The case reports were generated automatically with deep-linking to the source files along with the identification of risk clauses​.

The case reports were generated automatically with deep-linking to the source files along with the identification of risk clauses​.

Results

10x
Speedy Response

​​Risk subjectivity was eliminated, and suggestions were provided to aid underwriters in processing documents 10x faster. Semantic search and contextual view ensured that the process wa reliable

75%
Time Saved

Instantaneous case reports and summaries saved 75% of the time, with SMEs only validating and handling the exceptions​

100%
Process at Ease

Accurate data deliveries from Day-1 by implementing a human-in-the-loop solution.

80%
Faster TAT

Reduce the hours spent on reading documents for manual risk evaluation and underwriting.

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