Generative AI in Healthcare

Process Work

In order to create an effective solution, we first needed to understand the target users. There were two distinct groups:

Group 1: The data team was a group of tech-savvy users already using ChatGPT who were comfortable with the way it works.

Group 2: The client-facing teams primarily work on creating marketing campaigns for pharmaceutical companies. This group was less tech-savvy.

In addition to understanding the users and their use cases, the thoughtbot team started running unit tests to fully immerse in the project. Running unit tests and understanding the bounds of OpenAI’s ChatGPT capabilities created a foundation from which to build.

There were three design priorities:

Make the text input experience as simple as possible. This included how the user interacts with the selection of prompts and inputs the starter text.

Designing a user-friendly prompt experience that is accessible for less tech-savvy team members to navigate. thoughtbot included prompt functionality that streamlined making instant changes and conducting on-the-spot testing.

Creating overall consistency in the internal tool by using shared visual components. This ensured the experience would feel cohesive and established a useful library for future development to maintain standards and develop quickly.

Results

We successfully created a custom solution that takes advantage of OpenAI’s benefits while limiting the downsides of a public tool. Our solution prevented the lack of data protection, created a tailored user experience, and improved workflows to create a transformational outcome for our client.