Healthcare

Overview

In this project, I focused on overhauling a data insights platform originally designed to display fewer than 100 metrics, despite the need to manage and present tens of thousands. The platform’s limitations caused significant challenges for its users, which included physicians and executives, who struggled with a complex and unusable design. Extensive training and personalized setups were required just to navigate the system, leading to high error rates and low engagement.

The primary goal was to redesign the platform to be scalable, intuitive, and user-friendly. This comprehensive overhaul resulted in a 50% reduction in user error rates and a 450% increase in recurring users. Through iterative design, rigorous testing, and continuous feedback from end-users, the platform was transformed into a tool that simplified the workflow and effectively managed thousands of metrics.

Project Goals

• Simplification: Reduce cognitive load for hospital executives, physicians, and nurses by simplifying the user interface and making complex data more accessible.
• Scalability: Transform the system from supporting fewer than a hundred metrics to efficiently handling thousands while maintaining responsiveness and usability.
• User-Centered Design: Engage with end-users throughout the design process to ensure the final product meets their needs and expectations.

Duration

June 2022 - July 2023

Process and Methodology

UX Research

I began by conducting comprehensive user interviews and surveys with executives and physicians to understand their pain points and needs. During usability tests conducted throughout late 2022, several critical issues were identified:

• Complexity and Usability: The single-page design was overly complex, with users unable to complete tasks without guidance. This complexity led to high frustration and a significant need for training.
• Hidden Information: Key actions and information were hidden behind non-intuitive interfaces, making it difficult for users to access essential features like filtering, goal setting, and alert viewing.
• Inconsistent Design: The metrics cards were confusing, with no clear indication of applied filters or data updates, leading to errors and misinterpretations.

These findings underscored the urgent need for a comprehensive redesign to address scalability and usability for diverse users.

Design

Based on research, I created wireframes that emphasized a clean, user-friendly interface. The project scope expanded from a single-page design to a multi-page platform capable of handling thousands of metrics. Using progressive disclosure, I kept the interface clean and allowed users to engage with advanced features only when necessary.

• New Navigation and Home Page: Simplified access to various sections of the platform and improved overall usability.



• Landing Pages: Created new sections for dashboards and scorecards, improving organization and content presentation.



• Metrics Page: Redesigned data summaries with options for viewing data in card or list format.



• Bookmarking Feature: Enabled users to favorite and organize data visualizations for personalized workflows.

Note: Designs from Figma are provided for illustrative purposes, with fictitious data for visual representation.

Testing and Iteration

Multiple rounds of usability testing provided valuable feedback, leading to continuous improvements. This iterative approach reduced data analysis time by 30%, exceeding initial benchmarks.