User-Centered Data Platform Redesign for Healthcare Analytics

The client’s healthcare data platform struggles with poor user satisfaction due to complex, overloaded interface elements, inefficient data navigation, and suboptimal data presentation, resulting in lower user retention and feature adoption despite strong core NLP capabilities.

A mid-sized healthcare data platform provider serving healthcare professionals, insurers, pharmaceutical companies, and researchers, focusing on organizing unstructured data through advanced NLP and user-friendly interfaces.

• Enhance user interface and experience to improve satisfaction rates to at least 90%.
• Increase user retention by a minimum of 15% within six months post-deployment.
• Improve platform performance by at least 10% to support faster data processing and navigation.
• Facilitate easier data insights and workflow efficiency by streamlining data presentation and navigation tools.
• Accelerate feature adoption rates by at least 10% through intuitive design and improved usability.
• Deploy the redesigned platform within an expedited timeframe aligned with strategic business needs.

• Integration of an interactive JSON viewer component for efficient data analysis.
• Addition of distinct action links within data exploration sections for quick access to key functionalities.
• Redesign of patient and data navigation pathways to facilitate intuitive user flows.
• Revamped Summary Display Module with collapsible sections and pill elements to declutter information presentation.
• Implementation of clear status indicators to provide real-time process insights.
• Enhanced data table interfaces with improved pagination, scrolling, and customizable display options.
• Expandable rows and highlighted content for better understanding of data insights.
• Refined notification and error messaging system to improve user guidance and troubleshootability.
• Thorough API assessment and optimization to enhance system performance.
• Improved error handling to significantly reduce ignored exceptions and improve system robustness.

• API calls and data fetch modules to external data sources
• Data visualization tools or components (e.g., JSON viewers)
• Notification and alert systems
• Security and authentication modules

• System performance improvements of at least 10%
• Reduction of ignored exceptions and errors by at least 50%
• Responsiveness and usability across various devices and browsers
• High security standards for sensitive healthcare data
• Support for quick deployment within a tight timeframe

The platform redesign aims to significantly boost user satisfaction to over 90%, increase user retention by 15%, improve data processing performance by at least 10%, and streamline user workflows—resulting in higher engagement, more efficient data utilization, and faster adoption of new features, ultimately driving better healthcare insights and decision-making.