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
2 Product Designers
Skills
User Research
Prototyping
UX/UI Design
Interaction Design
Timeline
January - April 2025
3 Months
Role
Product Designer
Team
2 Product Designers
Skills
User Research
Prototyping
UX/UI Design
Interaction Design
Timeline
January - April 2025
3 Months
Role
Product Designer
Team
2 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.
Context
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.
Context
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.
Context
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.
The Challenge: 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.
The Challenge: 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.
The Challenge: 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.
The Solution: A flexible, AI-enhanced search experience.
Our team designed a flexible, responsive web-based platform that combines AI-powered and traditional search methods with intuitive research organization tools, providing oncology professionals a seamless way to access and manage trusted information across diverse workflows.
The Solution: A flexible, AI-enhanced search experience.
Our team designed a flexible, responsive web-based platform that combines AI-powered and traditional search methods with intuitive research organization tools, providing oncology professionals a seamless way to access and manage trusted information across diverse workflows.
The Solution: A flexible, AI-enhanced search experience.
Our team designed a flexible, responsive web-based platform that combines AI-powered and traditional search methods with intuitive research organization tools, providing oncology professionals a seamless way to access and manage trusted information across diverse workflows.
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.
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.
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.
Research Between Patients – Clinicians have just a few minutes to find answers between patients.
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.
Preparing for Tumor Board – Doctors spend time collecting and organizing scattered research.
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.
Medeligo Mobile App – The mobile format makes it hard to use in clinical or groups settings.
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 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 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)
Strengths
Peer reviewed content
AI-powered search (some)
Comprehensive filtering (some)
Strengths
Peer reviewed content
AI-powered search (some)
Comprehensive filtering (some)
Weaknesses
Not oncology or specialty specific
Limited document saving
Time consuming search
Weaknesses
Not oncology or specialty specific
Limited document saving
Time consuming search
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.
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.
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.
Need for Trusted Information
Credibility of information and verified sources used for diagnosis and learning is essential.
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.
Credibility Markers
Surface clear indicators of trustworthiness like journal type, study size, and peer-review status.
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).
Distinct Use Cases
Clinicians use research tools differently for tumor boards (in-depth prep) vs. during patient care (quick answers).
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.
Dual-Mode Experience
Design separate workflows for in-depth prep (e.g., tumor boards) and quick patient-facing lookups.
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.
Varied Attitudes Toward AI in Search
Clinicians differ in their openness to AI in search. Some embrace it for speed, others are skeptical.
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.
Adjustable AI Support
Offer AI search features with adjustable levels of automation to accommodate different comfort levels.
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.
Disorganized Article Storage
Saved resources are scattered across folders, devices, and formats, making them hard to organize and retrieve efficiently.
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.
Smart Resource Organizer
Create a centralized, searchable space for storing, organizing, and retrieving oncology resource materials.
Smart Resource Organizer
Create a centralized, searchable space for storing, organizing, and retrieving oncology resource materials.
Ideation
Brainstorming features to support clinican 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 clinican 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 clinican 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 and lack of granularity in 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 and lack of granularity in 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 and lack of granularity in filter options.
Filter Organization
Users expressed confusion when finding and applying filters. They found the long, unorganized list difficult to navigate and disliked the need for excessive scrolling to locate relevant options.
Filter Organization
Users expressed confusion when finding and applying filters. They found the long, unorganized list difficult to navigate and disliked the need for excessive scrolling to locate relevant options.
Filter Organization
Users expressed confusion when finding and applying filters. They found the long, unorganized list difficult to navigate and disliked the need for excessive scrolling to locate relevant options.
Filter Granularity
During user testing, clinicians found the source type filters in Standard Search lacking sufficient granularity. For example, the “Clinical Trials” filter needed sub-filters to distinguish between Phase I, Phase II, and Phase III trials.
Filter Granularity
During user testing, clinicians found the source type filters in Standard Search lacking sufficient granularity. For example, the “Clinical Trials” filter needed sub-filters to distinguish between Phase I, Phase II, and Phase III trials.
Filter Granularity
During user testing, clinicians found the source type filters in Standard Search lacking sufficient granularity. For example, the “Clinical Trials” filter needed sub-filters to distinguish between Phase I, Phase II, and Phase III trials.
V1. Overloaded Filter Panel
All filter options visible upfront
Long, scroll-heavy layout
Limited categorization
V1. Overloaded Filter Panel
All filter options visible upfront
Long, scroll-heavy layout
Limited categorization
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
V2. Hierarchically Structured Filters
Filters grouped by type and use case
Higher-level categories reduce cognitive load
More clicks to view all filters
V2. Hierarchically Structured Filters
Filters grouped by type and use case
Higher-level categories reduce cognitive load
More clicks to view all filters
To address these issues, we grouped filters by source type, separated out demographic filters, and introduced progressive disclosure to reveal more specific options only when needed. This reduced clutter and made filtering faster and more intuitive.
AI Search: Exploring how citation styles and prompt guidance impact usability.
User testing showed the need for source information that was easy to trust without disrupting the reading flow. We introduced numbered in-text citations and a detailed reference list to balance clarity and context, along with follow-up prompts and feedback tools to guide exploration and improve response quality.
AI Search: Exploring how citation styles and prompt guidance impact usability.
User testing showed the need for source information that was easy to trust without disrupting the reading flow. We introduced numbered in-text citations and a detailed reference list to balance clarity and context, along with follow-up prompts and feedback tools to guide exploration and improve response quality.
AI Search: Exploring how citation styles and prompt guidance impact usability.
User testing showed the need for source information that was easy to trust without disrupting the reading flow. We introduced numbered in-text citations and a detailed reference list to balance clarity and context, along with follow-up prompts and feedback tools to guide exploration and improve response quality.
V1. Linked In-Text Sources
Inline links maintain the natural flow of conversation
Users must click each link to understand source context
No support to prompt follow-up exploration or guidance
V1. Linked In-Text Sources
Inline links maintain the natural flow of conversation
Users must click each link to understand source context
No support to prompt follow-up exploration or guidance
V1. Linked In-Text Sources
Inline links maintain the natural flow of conversation
Users must click each link to understand source context
No support to prompt follow-up exploration or guidance
V2. Source Summary & Suggestions
Compiled source list allows users to scan references quickly
Follow-up prompts help guide deeper research and engagement
Requires an extra click to view full citation list overlay
V2. Source Summary & Suggestions
Compiled source list allows users to scan references quickly
Follow-up prompts help guide deeper research and engagement
Requires an extra click to view full citation list overlay
V2. Source Summary & Suggestions
Compiled source list allows users to scan references quickly
Follow-up prompts help guide deeper research and engagement
Requires an extra click to view full citation list overlay
V3. Structured Citations List
Numbered citations reduce visual noise in the conversation
Feedback buttons let users rate relevance and accuracy
No ability to save source to Library or share without opening in new tab
V3. Structured Citations List
Numbered citations reduce visual noise in the conversation
Feedback buttons let users rate relevance and accuracy
No ability to save source to Library or share without opening in new tab
V3. Structured Citations List
Numbered citations reduce visual noise in the conversation
Feedback buttons let users rate relevance and accuracy
No ability to save source to Library or share without opening in new tab
V4. Consistent Sources Panel
Consistent source cards across the platform to improve familiarity
Built-in actions (save, download, email) are available in the same format
Supports seamless transitions between features like AI Search, Standard Search, and Library
V4. Consistent Sources Panel
Consistent source cards across the platform to improve familiarity
Built-in actions (save, download, email) are available in the same format
Supports seamless transitions between features like AI Search, Standard Search, and Library
V4. Consistent Sources Panel
Consistent source cards across the platform to improve familiarity
Built-in actions (save, download, email) are available in the same format
Supports seamless transitions between features like AI Search, Standard Search, and Library
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.
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.
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.
V1. Case-Based Optimization
Tailored recommendations based on specific patient details
Requires HIPAA compliance
Less flexible for general research or prep
V1. Case-Based Optimization
Tailored recommendations based on specific patient details
Requires HIPAA compliance
Less flexible for general research or prep
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
V2. Library Folder Organization
Simple folder system to organize and retrieve articles
Personalized article recommendations
Doesn't require HIPAA compliance
V2. Library Folder Organization
Simple folder system to organize and retrieve articles
Personalized article recommendations
Doesn't require HIPAA compliance
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.
Live Sessions: A valuable idea limited by compliance risks.
The Live Sessions feature was envisioned as a real-time assistant during Tumor Board meetings. It would act as a “third person in the room,” transcribing discussions, surfacing relevant literature, offering clinical guidelines, and asking clarifying questions. This AI-supported chat window would help oncologists collaborate more effectively and document key insights without manual note-taking.
Live Sessions: A valuable idea limited by compliance risks.
The Live Sessions feature was envisioned as a real-time assistant during Tumor Board meetings. It would act as a “third person in the room,” transcribing discussions, surfacing relevant literature, offering clinical guidelines, and asking clarifying questions. This AI-supported chat window would help oncologists collaborate more effectively and document key insights without manual note-taking.
Live Sessions: A valuable idea limited by compliance risks.
The Live Sessions feature was envisioned as a real-time assistant during Tumor Board meetings. It would act as a “third person in the room,” transcribing discussions, surfacing relevant literature, offering clinical guidelines, and asking clarifying questions. This AI-supported chat window would help oncologists collaborate more effectively and document key insights without manual note-taking.
Excluded: AI Assistant
Users must click each link to understand source context
Users must click each link to understand source context
No support for follow-up exploration or guidance
Excluded: AI Assistant
Users must click each link to understand source context
Users must click each link to understand source context
No support for follow-up exploration or guidance
Excluded: AI Assistant
Users must click each link to understand source context
Users must click each link to understand source context
No support for follow-up exploration or guidance
Despite its potential, 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.
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.
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.
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.
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
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
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
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.
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.
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.
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.
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 — Balancing client priorities with user feedback was a recurring challenge that helped me refine solutions grounded in user research while making necessary compromises.
Business vs. User Needs — Balancing client priorities with user feedback was a recurring challenge that helped me refine solutions grounded in user research while making necessary compromises.
Business vs. User Needs — Balancing client priorities with user feedback was a recurring challenge that helped me refine solutions grounded in user research while making necessary compromises.
Scopecreep — We frequently saw our scope expand beyond what was feasible within the project timeline, teaching me the value of focusing on doing a few key things really well rather than trying to tackle everything.
Scopecreep — We frequently saw our scope expand beyond what was feasible within the project timeline, teaching me the value of focusing on doing a few key things really well rather than trying to tackle everything.
Scopecreep — We frequently saw our scope expand beyond what was feasible within the project timeline, teaching me the value of focusing on doing a few key things really well rather than trying to tackle everything.
New Domain — With no prior experience in the medical field, it was important to familiarize myself with key concepts like HIPAA compliance, which directly influenced several of our design decisions and feature constraints.
New Domain — With no prior experience in the medical field, it was important to familiarize myself with key concepts like HIPAA compliance, which directly influenced several of our design decisions and feature constraints.
New Domain — With no prior experience in the medical field, it was important to familiarize myself with key concepts like HIPAA compliance, which directly influenced several of our design decisions and feature constraints.
AI as a Tool — With AI being highly popular right now, we avoided simply “slapping AI on” to follow trends, which taught me the importance of using AI thoughtfully and only where it genuinely adds value without forcing it on users.
AI as a Tool — With AI being highly popular right now, we avoided simply “slapping AI on” to follow trends, which taught me the importance of using AI thoughtfully and only where it genuinely adds value without forcing it on users.
AI as a Tool — With AI being highly popular right now, we avoided simply “slapping AI on” to follow trends, which taught me the importance of using AI thoughtfully and only where it genuinely adds value without forcing it on users.
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!
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!
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!
