2025

Medeligo

An AI-powered search tool enabling efficient discovery and storage of reliable, current oncology research

2025

Medeligo

An AI-powered search tool enabling efficient discovery and storage of reliable, current oncology research

2025

Medeligo

An AI-powered search tool enabling efficient discovery and storage of reliable, current oncology research

Role

Product Designer

Team

3 Product Designers

Skills

User Research

Prototyping

UX/UI Design

Interaction Design

Timeline

January - April 2025

3 Months

Role

Product Designer

Team

3 Product Designers

Skills

User Research

Prototyping

UX/UI Design

Interaction Design

Timeline

January - April 2025

3 Months

Summary

During my capstone, I partnered with a team of three product designers to help Medeligo, a healthcare startup, redesign their oncology platform into a flexible web experience with AI and traditional search, personalized organization, and third-party integration.

Summary

During my capstone, I partnered with a team of three product designers to help Medeligo, a healthcare startup, redesign their oncology platform into a flexible web experience with AI and traditional search, personalized organization, and third-party integration.

Summary

During my capstone, I partnered with a team of three product designers to help Medeligo, a healthcare startup, redesign their oncology platform into a flexible web experience with AI and traditional search, personalized organization, and third-party integration.

The Challenge

What is Medeligo?

Medeligo is a small, physician-founded company offering an AI-powered oncology search platform. It helps clinicians quickly find trusted, up-to-date research across over 2,000 tumor types, streamlining access to primary sources to support informed cancer care.

Enabling oncologists to access trusted information efficiently during care.

Oncologists often struggle to access timely, trusted information during patient care due to fragmented workflows and limited search tools. The goal was to redesign Medeligo’s iOS app into a web-based platform that integrates seamlessly into systems like Epic, improves usability, and leverages AI-powered resources such as Semantic Scholar to support real-time oncology decision-making.

iOS to Web

Redesigning Medeligo from a mobile app into a responsive, browser-based tool.

iOS to Web

Redesigning Medeligo from a mobile app into a responsive, browser-based tool.

iOS to Web

Redesigning Medeligo from a mobile app into a responsive, browser-based tool.

3rd Party Integration

Ensuring seamless fit into existing platforms like Epic to reduce workflow disruption.

3rd Party Integration

Ensuring seamless fit into existing platforms like Epic to reduce workflow disruption.

Tech Stack

Ensuring seamless fit into existing platforms like Epic to reduce workflow disruption.

User-Centered Design

Gaining deep understanding of oncologists’ needs to create a tool that aligns with real-world use.

User-Centered Design

Gaining deep understanding of oncologists’ needs to create a tool that aligns with real-world use.

User-Centered Design

Gaining deep understanding of oncologists’ needs to create a tool that aligns with real-world use.

Problem

Oncologists struggle to access and use research efficiently, while Medeligo’s iOS-only app limits its reach and impact.

While Medeligo offers access to trusted oncology research, the search process is time-consuming and does not adapt to the unique needs of oncologists based on their specialties. This creates key challenges for both users and the platform.

User Problem

Medeligo's search process is time-consuming and does not adapt to oncologists’ unique needs based on their specialties, hindering efficient access to relevant research during patient care.

User Problem

Medeligo's search process is time-consuming and does not adapt to oncologists’ unique needs based on their specialties, hindering efficient access to relevant research during patient care.

User Problem

Medeligo's search process is time-consuming and does not adapt to oncologists’ unique needs based on their specialties, hindering efficient access to relevant research during patient care.

Product Problem

Medeligo’s iOS-only app and lack of an integrated, customizable web platform limit its ability to support diverse clinician workflows, expand its user base, and maximize impact.

Product Problem

Medeligo’s iOS-only app and lack of an integrated, customizable web platform limit its ability to support diverse clinician workflows, expand its user base, and maximize impact.

Product Problem

Medeligo’s iOS-only app and lack of an integrated, customizable web platform limit its ability to support diverse clinician workflows, expand its user base, and maximize impact.

Research Between Patients – Clinicians have just a few minutes to find answers between patients.

Preparing for Tumor Board – Doctors spend time collecting and organizing scattered research.

Medeligo Mobile App – The mobile format makes it hard to use in clinical or groups settings.

How Might We

How might we enable oncology professionals to access reliable, up-to-date research at the point of care through a flexible, web-based version of Medeligo that integrates with third-party software and supports diverse research workflows?

How Might We

How might we enable oncology professionals to access reliable, up-to-date research at the point of care through a flexible, web-based version of Medeligo that integrates with third-party software and supports diverse research workflows?

How Might We

How might we enable oncology professionals to access reliable, up-to-date research at the point of care through a flexible, web-based version of Medeligo that integrates with third-party software and supports diverse research workflows?

Competitor Analysis

Uncovering a value gap through market research.

While Medeligo’s competitors offer quality research and some AI capabilities, they lack oncology-specific focus, EMR integration, and flexible search experiences.

Competitor Platforms

Strengths

Peer reviewed content

AI-powered search (some)

Comprehensive filtering (some)

Weaknesses

Not oncology or specialty specific

Limited document saving

Time consuming search

Product Audit

Assessing Medelgio's current experience.

Using interaction maps, site maps, user flows, and heuristic evaluation, we familiarized ourselves with Medeligo’s existing iOS platform and identified usability challenges, resulting in the following key areas for improvement.

Product Audit

Assessing Medelgio's current experience.

Using interaction maps, site maps, user flows, and heuristic evaluation, we familiarized ourselves with Medeligo’s existing iOS platform and identified usability challenges, resulting in the following key areas for improvement.

Product Audit

Assessing Medelgio's current experience.

Using interaction maps, site maps, user flows, and heuristic evaluation, we familiarized ourselves with Medeligo’s existing iOS platform and identified usability challenges, resulting in the following key areas for improvement.

Current Mobile App

User Research

How do oncologists find, use, and manage research in their workflows?

To better understand how oncologists find, use, and manage research in their workflows, we conducted five interviews with oncology specialists and medical professionals across diverse roles. Here's what some interviewees shared:

User Research

How do oncologists find, use, and manage research in their workflows?

To better understand how oncologists find, use, and manage research in their workflows, we conducted five interviews with oncology specialists and medical professionals across diverse roles. Here's what some interviewees shared:

User Research

How do oncologists find, use, and manage research in their workflows?

To better understand how oncologists find, use, and manage research in their workflows, we conducted five interviews with oncology specialists and medical professionals across diverse roles. Here's what some interviewees shared:

"I only only have 5 to 10 minutes between patients. That's when I'm trying to squeeze in a quick search."

"I prefer summaries over full studies. I just don't have the time to read through lengthy articles."

"I've got a single, unorganized folder where all my downloaded articles go. It's a mess, but I just don't have the time to sort through it all."

We organized our research takeaways into four core areas of focus.

We then compiled and analyzed insights in an affinity map which allowed us to gain a better understanding of how research fits into oncologists' workflows.

We organized our research takeaways into four core areas of focus.

We then compiled and analyzed insights in an affinity map which allowed us to gain a better understanding of how research fits into oncologists' workflows.

We organized our research takeaways into four core areas of focus.

We then compiled and analyzed insights in an affinity map which allowed us to gain a better understanding of how research fits into oncologists' workflows.

Translating key user insights into focused opportunity areas.

We translated oncologists' key challenges into five actionable opportunity areas to better support their workflows and information needs.

Translating key user insights into focused opportunity areas.

We translated oncologists' key challenges into five actionable opportunity areas to better support their workflows and information needs.

Translating key user insights into focused opportunity areas.

We translated oncologists' key challenges into five actionable opportunity areas to better support their workflows and information needs.

Key Insights

Key InsightS & Opportunity Areas

Opportunity Areas

Limited Time for Research

Clinicians try to balance patient care, research, and preparation within limited time.

Time-Saving Search Tools

Deliver concise, high-relevance content summaries that fit within clinical time constraints.

Need for Trusted Information

Credibility of information and verified sources used for diagnosis and learning is essential.

Credibility Markers

Surface clear indicators of trustworthiness like journal type, study size, and peer-review status.

Distinct Use Cases

Clinicians use research tools differently for tumor boards (in-depth prep) vs. during patient care (quick answers).

Dual-Mode Experience

Design separate workflows for in-depth prep (e.g., tumor boards) and quick patient-facing lookups.

Varied Attitudes Toward AI in Search

Clinicians differ in their openness to AI in search. Some embrace it for speed, others are skeptical.

Adjustable AI Support

Offer AI search features with adjustable levels of automation to accommodate different comfort levels.

Disorganized Article Storage

Saved resources are scattered across folders, devices, and formats, making them hard to organize and retrieve efficiently.

Smart Resource Organizer

Create a centralized, searchable space for storing, organizing, and retrieving oncology resource materials.

Ideation

Brainstorming features to support clinician workflows.

We conducted a brainstorming session to ideate possible features, guided by our HMW question: How might we enable oncology professionals to access reliable, up-to-date research at the point of care through a flexible, web-based version of Medeligo that integrates with third-party software and supports diverse research workflows? Below is a summary of the key concepts that emerged from our brainstorming session.

Ideation

Brainstorming features to support clinician workflows.

We conducted a brainstorming session to ideate possible features, guided by our HMW question: How might we enable oncology professionals to access reliable, up-to-date research at the point of care through a flexible, web-based version of Medeligo that integrates with third-party software and supports diverse research workflows? Below is a summary of the key concepts that emerged from our brainstorming session.

Ideation

Brainstorming features to support clinician workflows.

We conducted a brainstorming session to ideate possible features, guided by our HMW question: How might we enable oncology professionals to access reliable, up-to-date research at the point of care through a flexible, web-based version of Medeligo that integrates with third-party software and supports diverse research workflows? Below is a summary of the key concepts that emerged from our brainstorming session.

Translating ideas into three exploratory concepts.

We created three distinct concepts to explore how different combinations of features could best support oncology professionals’ varied research workflows and information needs. Starting with low-fidelity sketches, we then developed mid-fidelity wireframes to evaluate the potential impact and usability of each concept.

Translating ideas into three exploratory concepts.

We created three distinct concepts to explore how different combinations of features could best support oncology professionals’ varied research workflows and information needs. Starting with low-fidelity sketches, we then developed mid-fidelity wireframes to evaluate the potential impact and usability of each concept.

Translating ideas into three exploratory concepts.

We created three distinct concepts to explore how different combinations of features could best support oncology professionals’ varied research workflows and information needs. Starting with low-fidelity sketches, we then developed mid-fidelity wireframes to evaluate the potential impact and usability of each concept.

Flexible search concept resonated most with clinicians, refined with features from other concepts for tumor board use cases.

After concept testing with oncologists, we chose Concept A as the foundation for our solution, prioritizing Advanced and Conversational Search, as Quick Search proved redundant. To support Tumor Board workflows, where real-time collaboration and information storage are essential, we integrated key features from the other two concepts including the Case Organization and AI Assistant. Below is a consolidated feature list informed by key findings from our concept testing sessions with oncologists.

Flexible search concept resonated most with clinicians, refined with features from other concepts for tumor board use cases.

After concept testing with oncologists, we chose Concept A as the foundation for our solution, prioritizing Advanced and Conversational Search, as Quick Search proved redundant. To support Tumor Board workflows, where real-time collaboration and information storage are essential, we integrated key features from the other two concepts including the Case Organization and AI Assistant. Below is a consolidated feature list informed by key findings from our concept testing sessions with oncologists.

Flexible search concept resonated most with clinicians, refined with features from other concepts for tumor board use cases.

After concept testing with oncologists, we chose Concept A as the foundation for our solution, prioritizing Advanced and Conversational Search, as Quick Search proved redundant. To support Tumor Board workflows, where real-time collaboration and information storage are essential, we integrated key features from the other two concepts including the Case Organization and AI Assistant. Below is a consolidated feature list informed by key findings from our concept testing sessions with oncologists.

Iteration & User Testing

Standard Search: Providing a more straighforward and logical filtering experience.

During user testing, clinicians found that applying filters in Advanced Search was time consuming and often confusing, primarily due to two issues: poor filter organization that required excessive scrolling and lack of granularity in sub-filter options.

Iteration & User Testing

Standard Search: Providing a more straighforward and logical filtering experience.

During user testing, clinicians found that applying filters in Advanced Search was time consuming and often confusing, primarily due to two issues: poor filter organization that required excessive scrolling and lack of granularity in sub-filter options.

Iteration & User Testing

Standard Search: Providing a more straighforward and logical filtering experience.

During user testing, clinicians found that applying filters in Advanced Search was time consuming and often confusing, primarily due to two issues: poor filter organization that required excessive scrolling and lack of granularity in sub-filter options.

V1. Overloaded Filter Panel

All filter options visible upfront

Long, scroll-heavy layout

Limited categorization

V2. Hierarchically Structured Filters

Filters grouped by type and use case

Higher-level categories reduce cognitive load

More clicks to view all filters

AI Search: Exploring how citation styles and prompt guidance impact usability.

The AI Search feature iterations focused on guidance starting a new conversation, voice search, and the conversational experience.

AI Search: Exploring how citation styles and prompt guidance impact usability.

The AI Search feature iterations focused on guidance starting a new conversation, voice search, and the conversational experience.

AI Search: Exploring how citation styles and prompt guidance impact usability.

The AI Search feature iterations focused on guidance starting a new conversation, voice search, and the conversational experience.

Starting a New Conversation

Through user testing, we learned that first-time users wanted more guidance on example topics and questions to learn more about the platform's capabilities.

Starting a New Conversation

Through user testing, we learned that first-time users wanted more guidance on example topics and questions to learn more about the platform's capabilities.

Starting a New Conversation

Through user testing, we learned that first-time users wanted more guidance on example topics and questions to learn more about the platform's capabilities.

V1. Suggestion Cards

Images break up text heavy content

Suggestion cards confused users

Unsure where to start

V2. Suggested Topics and Questions

Search bar animation cycles through example questions

Interactive topics give users an idea of platform capabilities

Added text takes longer to browse

Voice Search

In the first iteration, the voice search feature opens a full-screen microphone animation which immediately starts a new conversation. However, we found that users wanted to be able to edit their search query prior to starting a new conversation.

Voice Search

In the first iteration, the voice search feature opens a full-screen microphone animation which immediately starts a new conversation. However, we found that users wanted to be able to edit their search query prior to starting a new conversation.

Voice Search

In the first iteration, the voice search feature opens a full-screen microphone animation which immediately starts a new conversation. However, we found that users wanted to be able to edit their search query prior to starting a new conversation.

V1. Full-Screen Mic

Enaging mic animation

Full-screen mic is disorienting

No ability to edit query before searching

V2. Voice-to-Text

Feature contained on existing homepage

Visual mic feedback in search bar

Allows for editing text before searching

Conversational Experience

Looking at the conversational experience, we found areas for improvement in usability focused on in-text citations and the references list.

Conversational Experience

Looking at the conversational experience, we found areas for improvement in usability focused on in-text citations and the references list.

Conversational Experience

Looking at the conversational experience, we found areas for improvement in usability focused on in-text citations and the references list.

In-Text Citations

While linked in-text citations allowed users to access article links, users easily missed them and wanted to quickly gather more information on sources without viewing the full references list.

In-Text Citations

While linked in-text citations allowed users to access article links, users easily missed them and wanted to quickly gather more information on sources without viewing the full references list.

V1. Linked In-Text Sources

Linked in-text citations

Citation links are small and easily missed

Must reference sources list for more details

V2. Salient and Hoverable References

Added color makes citations more salient

Source logos break up text

View citation details on hover

References List

Users found the references list, initially displayed as an overlay, to be frustrating to find and stated that the sources list was overwhelming due to the significant amount of text.

References List

Users found the references list, initially displayed as an overlay, to be frustrating to find and stated that the sources list was overwhelming due to the significant amount of text.

V1. Overlay Source List

Extra clicks required to open overlay list

Article text is overwhelming

No insight into type of source

V2. References List After Chat Response

References listed after chat response

Links allow users to open article for more details

Tags categorize source types and improve scanability

Added: Bulk Actions

Toolbar appears when sources are selected

Take actions on one or more sources

Email, download, save to library, or open in a new window

Added: Feedback

Thumbs up or down specific sources

User provides feedback on sources

Feedback is used to improve Medeligo platform

Library: Enable users to discover new content.

We initially explored a case-based tool where clinicians could input patient-specific details to receive tailored AI recommendations. However, this approach would require HIPAA compliance, which Medeligo did not have and had no plans to pursue at the time.

In response, we shifted the feature’s focus from personalization to practical research management. We introduced a folder-based Library that allows users to save, label, and organize articles. To support ongoing discovery, we also added a Discover tab for browsing new, relevant content.

Library: Enable users to discover new content.

We initially explored a case-based tool where clinicians could input patient-specific details to receive tailored AI recommendations. However, this approach would require HIPAA compliance, which Medeligo did not have and had no plans to pursue at the time.

In response, we shifted the feature’s focus from personalization to practical research management. We introduced a folder-based Library that allows users to save, label, and organize articles. To support ongoing discovery, we also added a Discover tab for browsing new, relevant content.

Library: Enable users to discover new content.

We initially explored a case-based tool where clinicians could input patient-specific details to receive tailored AI recommendations. However, this approach would require HIPAA compliance, which Medeligo did not have and had no plans to pursue at the time.

In response, we shifted the feature’s focus from personalization to practical research management. We introduced a folder-based Library that allows users to save, label, and organize articles. To support ongoing discovery, we also added a Discover tab for browsing new, relevant content.

V1. Case-Based Optimization

Tailored recommendations based on specific patient details

Requires HIPAA compliance

Less flexible for general research or prep

V2. Library Folder Organization

Simple folder system to organize and retrieve articles

Personalized article recommendations

Doesn't require HIPAA compliance

Live Sessions: A valuable idea limited by compliance risks.

The Live Sessions feature was envisioned as a real-time assistant during Tumor Board meetings, transcribing discussions, surfacing relevant literature, offering clinical guidelines, and asking clarifying questions.

However, after initial explorations, the feature was ultimately scrapped due to HIPAA compliance concerns. Medeligo is not HIPAA compliant, and transcribing live discussions risked capturing patient-identifiable information. The team recognized that securing this data would introduce significant liability and infrastructure challenges, and the client had no current plans to pursue HIPAA compliance.

Live Sessions: A valuable idea limited by compliance risks.

The Live Sessions feature was envisioned as a real-time assistant during Tumor Board meetings, transcribing discussions, surfacing relevant literature, offering clinical guidelines, and asking clarifying questions.

However, after initial explorations, the feature was ultimately scrapped due to HIPAA compliance concerns. Medeligo is not HIPAA compliant, and transcribing live discussions risked capturing patient-identifiable information. The team recognized that securing this data would introduce significant liability and infrastructure challenges, and the client had no current plans to pursue HIPAA compliance.

Live Sessions: A valuable idea limited by compliance risks.

The Live Sessions feature was envisioned as a real-time assistant during Tumor Board meetings, transcribing discussions, surfacing relevant literature, offering clinical guidelines, and asking clarifying questions.

However, after initial explorations, the feature was ultimately scrapped due to HIPAA compliance concerns. Medeligo is not HIPAA compliant, and transcribing live discussions risked capturing patient-identifiable information. The team recognized that securing this data would introduce significant liability and infrastructure challenges, and the client had no current plans to pursue HIPAA compliance.

Excluded: AI Assistant

Organize information based on patient case

Requires HIPAA compliance

Significant risk of patient data storage

Third-Party Integration: Designed for for seamless EHR and tumor board tool compatibility.

As a small startup, Medeligo aims to expand its reach by partnering with third-party platforms, such as EMR/EHR systems such as Epic and virtual tumor board tools like Oncolens. These partnerships provide access to established clinical workflows and HIPAA-compliant environments.

To support this vision, we prioritized building a responsive, modular platform that can be seamlessly integrated into third-party systems, enabling Medeligo’s capabilities to complement existing tools without duplicating infrastructure or compromising security.

Third-Party Integration: Designed for for seamless EHR and tumor board tool compatibility.

As a small startup, Medeligo aims to expand its reach by partnering with third-party platforms, such as EMR/EHR systems such as Epic and virtual tumor board tools like Oncolens. These partnerships provide access to established clinical workflows and HIPAA-compliant environments.

To support this vision, we prioritized building a responsive, modular platform that can be seamlessly integrated into third-party systems, enabling Medeligo’s capabilities to complement existing tools without duplicating infrastructure or compromising security.

Third-Party Integration: Designed for for seamless EHR and tumor board tool compatibility.

As a small startup, Medeligo aims to expand its reach by partnering with third-party platforms, such as EMR/EHR systems such as Epic and virtual tumor board tools like Oncolens. These partnerships provide access to established clinical workflows and HIPAA-compliant environments.

To support this vision, we prioritized building a responsive, modular platform that can be seamlessly integrated into third-party systems, enabling Medeligo’s capabilities to complement existing tools without duplicating infrastructure or compromising security.

Prioritized: Responsive Design

Flexible UI design adapts to partner platform constraints

Modular components make integration seamless across different environments

Scalable interaction models work for embedded use or full screen views

Final Designs

An integrated platform for smarter oncology decisions.

The redesigned Medeligo web app reflects the future of clinical decision-making as a responsive, integrated system that helps oncology professionals quickly find and efficiently manage trusted research in high-pressure environments.

Final Designs

An integrated platform for smarter oncology decisions.

The redesigned Medeligo web app reflects the future of clinical decision-making as a responsive, integrated system that helps oncology professionals quickly find and efficiently manage trusted research in high-pressure environments.

Final Designs

An integrated platform for smarter oncology decisions.

The redesigned Medeligo web app reflects the future of clinical decision-making as a responsive, integrated system that helps oncology professionals quickly find and efficiently manage trusted research in high-pressure environments.

AI Search: An AI co-pilot for navigating oncology literature.

  • Ask clinical questions using text or voice.

  • Citations provided in-line and in a dedicated references section.

  • Suggested follow0-up prompts to guide deeper exploration.

AI Search: An AI co-pilot for navigating oncology literature.

  • Ask clinical questions using text or voice.

  • Citations provided in-line and in a dedicated references section.

  • Suggested follow0-up prompts to guide deeper exploration.

Standard Search: Structured filters for targeted discovery.

  • Familiar layout allows quick filtering across oncology-specific subspecialties and tumor types.

  • Filter categories organized for faster browsing and reduced cognitive load.

  • Designed for clinicians who prefer a structured, non-AI-driven search appraoch.

Standard Search: Structured filters for targeted discovery.

  • Familiar layout allows quick filtering across oncology-specific subspecialties and tumor types.

  • Filter categories organized for faster browsing and reduced cognitive load.

  • Designed for clinicians who prefer a structured, non-AI-driven search appraoch.

Library: Organize, revisit, and discover essential research.

  • Save and organize articles into custom folders for quick reference and sharing.

  • Discovery tab surfaces recommended articles based on user behavior and interests.

  • Designed to support ongoing learning and prep for clinical decision-making.

Library: Organize, revisit, and discover essential research.

  • Save and organize articles into custom folders for quick reference and sharing.

  • Discovery tab surfaces recommended articles based on user behavior and interests.

  • Designed to support ongoing learning and prep for clinical decision-making.

Business & Technical Considerations

Technical Feasibility

During the iteration process, our team consulted with an experienced software engineer with natural language processing (NLP) expertise to evaluate the feasibility of our proposed features. All core components of the new Medeligo platform were validated as technically achievable, though successful implementation will rely on Medeligo’s available infrastructure and internal resources to support continued development and integration.

Business & Technical Considerations

Technical Feasibility

During the iteration process, our team consulted with an experienced software engineer with natural language processing (NLP) expertise to evaluate the feasibility of our proposed features. All core components of the new Medeligo platform were validated as technically achievable, though successful implementation will rely on Medeligo’s available infrastructure and internal resources to support continued development and integration.

Business & Technical Considerations

Technical Feasibility

During the iteration process, our team consulted with an experienced software engineer with natural language processing (NLP) expertise to evaluate the feasibility of our proposed features. All core components of the new Medeligo platform were validated as technically achievable, though successful implementation will rely on Medeligo’s available infrastructure and internal resources to support continued development and integration.

Defining Medeligo's competitive advantage.

Medeligo provides a seamless, integrated experience by combining flexible search options with intuitive tools for storing and organizing research. Unlike many platforms, it does not require users to rely on AI. Instead, it supports both AI-powered and traditional search, allowing clinicians to choose the approach that best fits their workflow and research style.

Defining Medeligo's competitive advantage.

Medeligo provides a seamless, integrated experience by combining flexible search options with intuitive tools for storing and organizing research. Unlike many platforms, it does not require users to rely on AI. Instead, it supports both AI-powered and traditional search, allowing clinicians to choose the approach that best fits their workflow and research style.

Defining Medeligo's competitive advantage.

Medeligo provides a seamless, integrated experience by combining flexible search options with intuitive tools for storing and organizing research. Unlike many platforms, it does not require users to rely on AI. Instead, it supports both AI-powered and traditional search, allowing clinicians to choose the approach that best fits their workflow and research style.

Looking Forward

Preparing our designs for handoff.

Before wrapping up the project, we created comprehensive design documentation to support a smooth handoff to Medeligo’s technical team, ensuring they have the clarity needed to guide future development.

Looking Forward

Preparing our designs for handoff.

Before wrapping up the project, we created comprehensive design documentation to support a smooth handoff to Medeligo’s technical team, ensuring they have the clarity needed to guide future development.

Looking Forward

Preparing our designs for handoff.

Before wrapping up the project, we created comprehensive design documentation to support a smooth handoff to Medeligo’s technical team, ensuring they have the clarity needed to guide future development.

Reflections

How real-world constraints sharpened my design thinking.

This project was an invaluable opportunity to learn about the unique challenges of designing for healthcare and oncology, pushing us to create thoughtful, research-driven solutions under real-world constraints. In just three months, we took on the challenge and delivered a platform tailored to both clinician needs and technical realities.

Reflections

How real-world constraints sharpened my design thinking.

This project was an invaluable opportunity to learn about the unique challenges of designing for healthcare and oncology, pushing us to create thoughtful, research-driven solutions under real-world constraints. In just three months, we took on the challenge and delivered a platform tailored to both clinician needs and technical realities.

Reflections

How real-world constraints sharpened my design thinking.

This project was an invaluable opportunity to learn about the unique challenges of designing for healthcare and oncology, pushing us to create thoughtful, research-driven solutions under real-world constraints. In just three months, we took on the challenge and delivered a platform tailored to both clinician needs and technical realities.

Business vs. User Needs — When our client’s preferences and user research findings diverged, using frameworks to align on the goals of the project helped balance both.

Business vs. User Needs — When our client’s preferences and user research findings diverged, using frameworks to align on the goals of the project helped balance both.

Business vs. User Needs — When our client’s preferences and user research findings diverged, using frameworks to align on the goals of the project helped balance both.

Stakeholder Impacts on Design — Communicating early and often with stakeholders provides perspectives that reveal how considerations like legal and HIPAA requirements can shape design decisions.

Stakeholder Impacts on Design — Communicating early and often with stakeholders provides perspectives that reveal how considerations like legal and HIPAA requirements can shape design decisions.

Stakeholder Impacts on Design — Communicating early and often with stakeholders provides perspectives that reveal how considerations like legal and HIPAA requirements can shape design decisions.

Prioritization and Scope — Using frameworks helped manage scope creep and prevented us from getting lost in endless design explorations, making it easier to prioritize directions.

Prioritization and Scope — Using frameworks helped manage scope creep and prevented us from getting lost in endless design explorations, making it easier to prioritize directions.

Prioritization and Scope — Using frameworks helped manage scope creep and prevented us from getting lost in endless design explorations, making it easier to prioritize directions.

The Power of Interaction Design — Building interactive prototypes was crucial for uncovering hidden user needs, testing ideas, and collecting feedback, allowing me to refine my interaction design skills.

The Power of Interaction Design — Building interactive prototypes was crucial for uncovering hidden user needs, testing ideas, and collecting feedback, allowing me to refine my interaction design skills.

The Power of Interaction Design — Building interactive prototypes was crucial for uncovering hidden user needs, testing ideas, and collecting feedback, allowing me to refine my interaction design skills.

Thank You

Recognizing the people who shaped this work.

This project pushed me to design in a complex and unfamiliar domain, helping me grow both my skills and perspective as a designer. I’d like to extend a sincere thank you to Dr. John Ruge, Don Bauman, and the Medeligo team for their guidance, feedback, and support throughout the project. A huge thank you to my teammates, Frank and Pedro, whose creativity, dedication, and collaboration made this project both a rewarding and fun experience!

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