Automating workflows for a Diagnostics chain

The client is a leading diagnostic center catering to a vast clientele base. One of their prominent services includes providing free yearly health check-ups sponsored by insurance companies. These health check-ups involve multiple steps, including generating receipts from the diagnostic center's software, obtaining blood reports from the last mile provider, and uploading both documents to the insurance company's site for the corresponding subscriber.

Challenge

Despite the importance of these health check-ups in maintaining customer health and satisfaction, the process was labor-intensive and prone to errors. Manually managing receipts, coordinating with the last mile provider for blood reports, and uploading documents to the insurance portal consumed considerable time and resources. The manual nature of the process also increased the risk of errors, leading to delays and dissatisfaction among subscribers.

Solution

Recognizing the need for efficiency and accuracy, the diagnostic center partnered with Stridetech to automate the entire process. The RPA solution was designed to seamlessly integrate with the existing systems and perform tasks across multiple platforms with minimal human intervention.

Implementation

Receipt Generation Automation:
RPA bots were programmed to extract relevant information from the diagnostic center's software and generate receipts automatically for each subscriber. This eliminated the need for manual entry and reduced the chances of errors in receipt generation.
Blood Report Retrieval from the Last Mile Provider:
The RPA bots were configured to communicate with the last mile provider's system and retrieve blood reports for all eligible subscribers. By automating this process, the dependency on manual coordination was eliminated, ensuring faster turnaround times and improved accuracy.
Document Upload to Insurance Portal:
Once the receipts and blood reports were obtained, the RPA bots seamlessly uploaded the documents to the respective subscriber's profile on the insurance company's portal. This not only saved time but also ensured that all necessary documentation was accurately submitted within the stipulated time frame.

Results

The implementation of RPA significantly transformed the free yearly health check-up process at the diagnostic center, yielding numerous benefits:

Increased Efficiency: By automating repetitive tasks, the time required to complete the entire process was reduced drastically, allowing staff to focus on more value-added activities.
Enhanced Accuracy: The risk of errors associated with manual data entry and document handling was virtually eliminated, ensuring that subscribers received accurate and timely services.
Improved Customer Satisfaction: With faster turnaround times and smoother processing, subscribers experienced a streamlined and hassle-free health check-up process, leading to higher satisfaction levels.
Cost Savings: By reducing manual efforts and minimizing errors, the diagnostic center realized significant cost savings in terms of both time and resources.

Conclusion

The RPA solution transformed the client's product data management processes, enhancing efficiency, accuracy, and scalability. By leveraging AI and micro bots, the client now enjoys a streamlined workflow, allowing them to focus on strategic growth and customer satisfaction. This case study highlights the power of RPA and AI in revolutionizing e-commerce operations, setting a benchmark for future innovations in the industry.

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