Chatbot Development for Healthcare Industry

The company was looking for an AI-based iOS mobile app that would be a smart digital assistant to patients and healthcare staff at hospitals. To develop this mobile app, they approached Capital Numbers.

The US-based company is our existing client, and they have immense faith in our high-quality service. Therefore, when they planned to build this AI bot, they contacted us without any second-guessing. While discussing the project with the client, Capital Numbers found out that they already have a bot in place; however, it was not programmed correctly, plus, the bot was outdated. Our biggest challenge was to enhance this existing bot platform with a cutting-edge AI solution without changing the existing codebase.

Besides, with the rising COVID-19 cases and piling pressure on healthcare systems, we had to come up with an evolved telehealth bot within a very short time. Our challenge was to conduct in-depth research within a few weeks to develop a bot that transforms patient diagnoses.

We held multiple meetings with our client to dive into the project needs in detail. Through a strategic approach, our qualified tech team worked towards developing an AI-based iOS app that can identify patients’ needs and pop-up alerts to prompt caregivers to take corrective actions on-time.

Our tech team discussed ways to simplify the flow of billing information for customers. We also had to add a solution to process all bill payments without data loss. We noted down each point and started developing the app using the following techs:

We made the most of the Android SDK because of its pre-built libraries that speed up development and boost the UX. To link bank accounts to the app, we used the Plaid API. Plaid-powered apps are end-to-end encrypted. They store sensitive data like login credentials and OTPs via HTTPS connection that prevents fraud.

We chose Google Dialogflow to develop this conversational bot. Dialogflow is a platform that makes it easy to integrate conversational UI into a mobile app. It analyzes text and audio inputs from users. Accordingly, it responds to users, either through speeches or texts. As a result, Dialogflow was our obvious choice for this interactive voice response system.

Next, our experts used Swift because of its clean code and simplified syntax. Moreover, Swift comes with dynamic libraries that get updated independently, speed up load time, and enhance overall app functionality. Also, Swift offers code reusability, removes classes of unsafe code, makes apps secure, and comes with UTF-8 based encoding that supports multiple languages and emojis. Therefore, this programming language was a top choice for the iOS platform.

We used REST API because this architectural style comes with various layers that assure security and flexibility to iOS apps. REST can also easily integrate with existing platform architecture without the need to refactor the codebase from scratch. Plus, REST APIs are stateless that makes iOS apps scalable and cacheable.

To add versatility to the app, we chose the schema-less data structure - MongoDB. This database comes with auto-sharding that helps in horizontal scaling. Moreover, MongoDB adds flexibility and high-speed to apps. It is developer-friendly and one of the most cost-effective options. Clearly, MongoDB was the perfect fit for our iOS app.

By implementing the latest technologies, our technical specialists came up with an innovative healthcare solution that always keeps patients and caregivers connected.

We successfully created the iOS platform that signals hospital staff if patients require medical or clinical assistance.