AI Assistant

Problem

In today's fast-paced healthcare environment, many patients feel disconnected from their doctors during consultations. Traditional methods often involve doctors spending significant time inputting data into electronic health records, hindering genuine patient interaction. This can lead to miscommunication, dissatisfaction, and potential errors in medical records.

Solution

To address this challenge, I designed an AI-powered assistant to streamline the doctor's workflow and enhance patient experiences. This innovative tool aimed to:

  • Optimise Doctor's Time: By automating routine tasks like data entry and appointment scheduling, the assistant freed up valuable time for doctors to focus on patient care.

  • Enhance Patient Engagement: With more time to engage with patients, doctors could build stronger rapport and provide more personalised care.

  • Minimise Errors: Automating data input reduced the risk of human error, ensuring accurate and up-to-date medical records.

My role

As the lead product designer, I played a pivotal role in shaping the AI assistant's user experience. My responsibilities included:

  • User Research: Conducting in-depth interviews with doctors and patients to understand their pain points and needs.

  • Information Architecture: Defining the information hierarchy and user flows to ensure a seamless and intuitive user experience.

  • UI/UX Design: Creating visually appealing and user-friendly interfaces that aligned with DocPlanner's brand guidelines.

  • Prototyping and Testing: Iteratively designing and testing prototypes to validate design decisions and optimise the user experience.

  • Collaboration: Working closely with a cross-functional team of developers, product managers, and stakeholders to bring the product to life.

Overcoming challenges

During the project, I encountered several challenges:

  • Feature Prioritisation: To ensure a focused and efficient development process, I employed user story mapping to prioritise features based on user needs and business objectives.

  • Design System Evolution: I spearheaded the redesign of our existing design system to better suit the needs of the AI assistant. This involved creating new components and adapting existing ones to achieve a modern and engaging look and feel.

  • Technical Constraints: Collaborating closely with the development team, I identified creative solutions to overcome technical limitations and ensure the product met both design and functional requirements.

  • User Testing: I conducted rigorous usability testing to validate design decisions and identify areas for improvement. By incorporating user feedback, I was able to refine the design and enhance the overall user experience.

Results

The successful launch of the AI-powered assistant has had a significant impact on healthcare providers and patients:

  • Increased Patient Satisfaction: Improved engagement and communication during consultations.

  • Enhanced Doctor Efficiency: Streamlined workflows and reduced administrative burden.

  • Reduced Medical Errors: Improved accuracy and consistency in medical record-keeping.

  • Positive User Feedback: Received positive reviews from both doctors and patients regarding the ease of use and effectiveness of the tool.