Healthcare Technology Company

UI/UX design for healthcare platform to analyze and manage the workload of radiologists

ElifTech was approached by a healthcare technology company that provides a machine learning-powered platform to analyze and manage the workload of radiologists. The project focused on enhancing the user experience (UX) and user interface (UI) of the demo version. It involved a comprehensive redesign encompassing UI/UX enhancements, developing a clickable prototype using Figma, creating a UI Kit for consistent design elements, designing new features aligned with user needs, and an overall platform redesign.

The aim was to improve the overall user experience, visual appeal, and functionality of the demo, ensuring it effectively communicates the value proposition to prospective users and stakeholders. The goal was to highlight the platform's efficiency in managing radiologist workloads effectively while presenting a clear and compelling demonstration to potential clients.

Industry

Healthcare
Headquarters

US

Services we provided

UI/UX Design
User Interface Redesign
Creating User Flows and Product UX
UI Prototyping

About the client

The client is a company specializing in cutting-edge machine learning applications tailored specifically for the healthcare sector. Their program focuses on addressing a critical need within the healthcare landscape – the management and analysis of radiologists' workloads.

Understanding the pivotal role of radiologists in diagnostic procedures and the limited resources available, the client’s company is dedicated to leveraging innovative technology to alleviate the workload pressure on these healthcare professionals. Their machine learning program serves as a strategic solution to analyze, streamline, and enhance the efficiency of radiologists' tasks, ultimately contributing to improved healthcare delivery.

Challenge

The primary challenge faced by a client was the underperformance of their demo version when presented to potential clients. The existing demo lacked an appealing design and a lack of clear user flow. Another hurdle was the mixed features within the demo that were not harmoniously integrated. The absence of a clear and intuitive user flow impeded potential clients from comprehending the program's functionalities and benefits. The unclear navigation hindered users' ability to explore the capabilities of the machine-learning solution efficiently.

Solution

UI/UX Design

We began with deep product research and client workshops, auditing features, user flows, and design to align on goals for the revamped demo. Then we overhauled UX/UI: removed redundancies, reduced the journey to three clear steps, and built a scalable design system with variable components, a cohesive color palette, and a structured type hierarchy.
User Interface Enhancement

A critical aspect of the solution was a complete overhaul of the user interface (UI). The design team implemented a more contemporary and visually appealing UI that aligned with modern design trends. Cluttered and outdated elements were replaced with a clean, intuitive interface that ensured ease of navigation and interaction.
User Experience Optimization

To enhance user experience (UX), the team shortened the user journey by streamlining the process into three distinct, user-friendly steps. Unnecessary complexities and redundant steps were eliminated to create a smoother flow, enabling users to estimate their engagement time more accurately.
Design System Development

A pivotal solution component was the creation of a comprehensive design system for the platform. This system encompassed a cohesive set of design guidelines, including variable components, a unified color system, and a structured font hierarchy. This ensured consistency in design elements across the platform, contributing to a more polished and professional appearance.

Features delivered

UX/UI Design

A visually appealing and user-friendly interface that significantly improved user engagement.
Clickable Prototype

A dynamic prototype showcasing the revamped design and user flow, providing an interactive experience for stakeholders.
UI Kit

A comprehensive kit encompassing design elements and guidelines for future development and consistency.
New Features Design

Incorporation of additional functionalities aligned with user needs and market expectations.
Platform Redesign

A complete overhaul of the platform, ensuring a modern, efficient, and intuitive tool for radiologist workload analysis.

Key results and business value

Enhanced User Engagement

The revamped demo version garnered notable improvements in user engagement. The updated user interface (UI) and streamlined user experience (UX) resulted in increased interaction and positive feedback from potential clients. This elevated engagement indicated a higher level of interest and receptiveness to the machine learning program's capabilities.
Improved Client Perception

The revamped demo improved prospect perception. A modern UI, intuitive flow, and polished presentation signaled a user-centric, innovative brand-boosting confidence in the company’s capabilities and reinforced its position as a modern provider.
Increased Conversion Rates

The enhanced demo version significantly improved the conversion rates of potential clients into leads. The clearer presentation of the machine learning program's functionalities and benefits led to a higher number of clients expressing interest in adopting their solution. This translated into a measurable increase in the conversion of leads to potential business opportunities.
Strengthened Market Position

The project strengthened the client’s position in healthcare tech. By delivering a refined, efficient solution, they stood out from competitors, built stakeholder confidence, and emerged as a leader in intuitive, ML-driven tools for healthcare professionals.
Long-Term Growth Potential

Beyond quick wins, we built a scalable foundation: a robust design system and extensible features that ease future upgrades. This positions the company to adapt fast to market shifts and sustain growth in healthcare tech.