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Digitalizing Operations for Scalable Patient Care
A healthcare leader collaborated with Moxie to digitalize its home care operations, focusing on optimizing service routing and enhancing the patient experience.
By implementing a B2B platform for automated case management and SLA tracking, the project streamlined workflows and increased operational efficiency without the need for additional staff. This transformation created a scalable, data-driven model capable of supporting high-volume requests around the clock.
The primary objective was to digitalize a new business line in under two months, ensuring the capacity to handle over 1,000 monthly requests on a 24/7 basis. The transition needed to be seamless, moving away from manual processes to a fully digital environment without requiring additional administrative staff to manage the increased workload.
To address these requirements, Moxie developed a custom B2B platform designed for automated home care routing and real-time operational management. The solution focused on the digital transformation of previously manual workflows, integrating comprehensive case management tools and rigorous SLA tracking to ensure consistent service quality.
The platform featured key functionalities such as automated SMS notifications and customer satisfaction surveys, enabling the collection of direct patient feedback while maintaining secure, data-driven operations. This technological infrastructure allowed the organization to scale its new business line efficiently, ensuring an agile and continuous response to high-volume, complex requests.
The implementation of the digital platform led to a significant optimization of the home care business line, most notably achieving a 70% reduction in time spent managing requests. This increased efficiency allowed the organization to successfully handle over 1,000 monthly requests on a 24/7 basis without the need for additional staff. Beyond operational gains, the project delivered a marked improvement in the patient experience through faster response times and automated feedback loops. The final result was a scalable, data-driven operational model that secured the business line's long-term growth and service quality.
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