Short Description
The company leveraged AWS Bedrock and Claude LLM to automate extraction and generation of medical documents through an AI enabled Word plugin and cloud scaling. The solution reduced manual effort, lowered operational costs, and minimized data inconsistencies while improving efficiency, accuracy, standardization, customization, scalability, and cost savings.
Customer Problem
Manual processing of medical documents resulted in high operational costs, slow turnaround times, and data inconsistencies. Without automation, document extraction and generation were difficult to scale or standardize in a fast moving pharmaceutical environment.
Solution
Manual processing of medical documents resulted in high operational costs, slow turnaround times, and data inconsistencies. Without automation, document extraction and generation were difficult to scale or standardize in a fast moving pharmaceutical environment.
Benefit / Result
- Higher efficiency, accuracy, and document standardization
- Scalable document generation with lower operational cost
- Reduced processing times and error rates
- Higher document output and user satisfaction
- System scalability with 99.9 percent uptime
