We helped a practicing vascular surgeon build an MLP (minimum lovable product) MVP for his startup idea focusing on patient and provider challenges. We completed it in less than 6 months, which validated our client’s hypotheses and accelerated the company’s growth.
The Problem
The client did not know software, but knew that technology could alleviate the challenges he saw while practicing and managing urgent care centers. He wanted to be able to quickly test his hypotheses on how to improve patient engagement and reduce provider costs. He was searching for a strategic partner to build the initial product and chose us because of our experience in both customer-facing apps and healthcare.
The Approach
We were engaged to translate the client’s vision and ideas for provider-patient engagement into software. We performed a detailed analysis of both the patient user and provider user to understand their pain points. This included in-person office workflow issues as well. Based on the extensive research and client interviews, we proposed a cross-platform app with a separate unique interfaces for the provider and the patient. We worked with the client to provide a user–friendly interface with enriched user experience. As a first step, we developed an interactive demo app in 2 months to enable the client’s sales team engage with prospects while the development of MLP was underway. We created bi-directional integrations with numerous EMRs to enable the client’s ideal provider experience. Patient-facing features included insurance card recognition (achieving 95% accuracy), insurance eligibility validation and video conferencing.
The Results
With Chenoa’s help, the interactive demo build helped the sales team to convert prospects into customers before the MLP was ready. The client was able to launch the MLP within 6 months with two large customers. These customers saw their front-end claim rejections decrease from 36% to 3% and increase time-of-service collection by 60%. Patients had a higher satisfaction rate, and providers were able to provide higher quality of care with the improved workflow and data accuracy. Together, these outcomes validated our client’s hypotheses and proved the need for the product in the market.