AI Bases Surgical Planning

GALILEO™ Surgical Planning

COMPANY

Mirus

ROLE

UXUI Designer

Tools

FIGMA/Miro/Maze

YEAR

2022-2024

Project Overview

GALILEO™ Surgical Planning is an innovative platform designed to streamline pre-surgical planning for healthcare professionals. The tool leverages advanced AI algorithms to generate personalized surgical plans, offering precision and efficiency while improving patient outcomes. This project involved designing intuitive interfaces for both web and mobile platforms, enabling surgeons to access critical data and make informed decisions seamlessly.

Project Feature

Web-Based Planning Software

Web-portal or Mobile App
Case Creation
AI Generated Plans
Patient-Specific Implants
Pre-Contoured Rods
Post-Op Analysis

Patient Specific Implants

Anatomically Matched
Plan Specific Interbody and Rod

Customizable Workflow

Anatomically Matched
Plan Specific Interbody and Rod

Case Creation

CT or Standing X-ray
Input Case Details
Choose Patient Specific Implant

Post-Op Analysis

Record Patient Results
Personalized Feedback into AI Platform
Connect Surgical Outcomes to Remote Patient Monitoring Platform

AI Generated Plan

Automated Measurements
Pelvic Incidence
Pelvic Tilt
Lumbar Lordosis
Sacral Slope

Optimized Outputs
Rod Length
SVA
PI-LL Match

Output simulation

Problem

"More experiments, more challenges"

Manual and Time-Consuming Processes: Traditional surgical planning heavily depended on manual measurements and static tools, resulting in time-intensive workflows.

Lack of Precision: Generic tools often failed to account for patient-specific anatomical nuances, leading to inaccuracies in planning and execution.

Limited Integration of Data: Existing systems struggled to integrate diverse data sources (e.g., imaging, lab reports, and patient history) into a cohesive planning workflow.

Inadequate User Experience: The user interfaces of traditional tools were unintuitive, leading to increased cognitive load and potential user errors.

Suboptimal Patient Outcomes: Inefficiencies in planning and the lack of AI-driven insights contributed to delayed procedures and less personalized surgical approaches.

Problem

"More experiments, more challenges"

Manual and Time-Consuming Processes: Traditional surgical planning heavily depended on manual measurements and static tools, resulting in time-intensive workflows.

Lack of Precision: Generic tools often failed to account for patient-specific anatomical nuances, leading to inaccuracies in planning and execution.

Limited Integration of Data: Existing systems struggled to integrate diverse data sources (e.g., imaging, lab reports, and patient history) into a cohesive planning workflow.

Inadequate User Experience: The user interfaces of traditional tools were unintuitive, leading to increased cognitive load and potential user errors.

Suboptimal Patient Outcomes: Inefficiencies in planning and the lack of AI-driven insights contributed to delayed procedures and less personalized surgical approaches.

Problem

"More experiments, more challenges"

Manual and Time-Consuming Processes: Traditional surgical planning heavily depended on manual measurements and static tools, resulting in time-intensive workflows.

Lack of Precision: Generic tools often failed to account for patient-specific anatomical nuances, leading to inaccuracies in planning and execution.

Limited Integration of Data: Existing systems struggled to integrate diverse data sources (e.g., imaging, lab reports, and patient history) into a cohesive planning workflow.

Inadequate User Experience: The user interfaces of traditional tools were unintuitive, leading to increased cognitive load and potential user errors.

Suboptimal Patient Outcomes: Inefficiencies in planning and the lack of AI-driven insights contributed to delayed procedures and less personalized surgical approaches.

Solution

We developed a web and mobile-based planning software that automates the creation of personalized surgical plans. Key features include:

Outcome

The solution improved surgical planning efficiency by 30%, reduced planning errors, and enhanced patient outcomes. Surgeons reported higher satisfaction with the tool due to its intuitive design and robust data visualization features.

The solution improved surgical planning efficiency by 30%, reduced planning errors, and enhanced patient outcomes. Surgeons reported higher satisfaction with the tool due to its intuitive design and robust data visualization features.

My role

As the UX/UI Designer, I was responsible for creating a user-centered interface that addressed the unique challenges of surgical planning.

User Research

Interface Design

Prototyping & Testing

Collaboration

Design System

Research

User research for the GALILEO™ Surgical Planning tool involved a comprehensive exploration of user needs, pain points, and workflows to ensure the design was highly aligned with real-world challenges.

Methods and Activities

Stakeholder Interviews

Conducted 15 in-depth interviews with surgeons, radiologists, and operating room staff from various specialties.

Key questions:

What are your biggest frustrations with current surgical planning tools?
What features would make your planning process more efficient?
How do you currently interact with imaging data?

Conducted 15 in-depth interviews with surgeons, radiologists, and operating room staff from various specialties.

Key questions:

What are your biggest frustrations with current surgical planning tools?
What features would make your planning process more efficient?
How do you currently interact with imaging data?

Competitive Analysis

Reviewed leading surgical planning tools to benchmark features, usability, and design standards.

Identified gaps such as the lack of interactive imaging, insufficient customization, and limited accessibility features.

Empathy Mapping

Created empathy maps for different user groups (surgeons, radiologists, operating room staff) to capture their goals, frustrations, and motivations.

Journey Mapping

Created journey maps to visualize the end-to-end process of surgical planning, highlighting pain points, emotions, and opportunities for improvement.

Contextual Inquiry

Observed surgical teams during their planning processes to identify inefficiencies and workflows in real-world settings.

Shadowed surgeons in both pre-surgical planning meetings and post-operative reviews to understand the full user journey.

Observed surgical teams during their planning processes to identify inefficiencies and workflows in real-world settings.

Shadowed surgeons in both pre-surgical planning meetings and post-operative reviews to understand the full user journey.

Surveys and Questionnaires

Distributed surveys to 50 healthcare professionals to gather quantitative insights on tool usage, pain points, and desired features.

Results revealed that 78% of respondents found existing tools time-consuming, and 65% wanted more interactive imaging capabilities.

Distributed surveys to 50 healthcare professionals to gather quantitative insights on tool usage, pain points, and desired features.

Results revealed that 78% of respondents found existing tools time-consuming, and 65% wanted more interactive imaging capabilities.

Distributed surveys to 50 healthcare professionals to gather quantitative insights on tool usage, pain points, and desired features.

Results revealed that 78% of respondents found existing tools time-consuming, and 65% wanted more interactive imaging capabilities.

User Persona Development

Based on the research, developed three primary personas:

Dr. Emily Carter (Orthopedic Surgeon): Needs real-time, interactive 3D imaging for joint replacement surgeries.
Dr. Raj Patel (Neurosurgeon): Requires precise anatomical mapping and personalized workflows for complex brain surgeries.
Nurse Sarah Taylor (OR Coordinator): Prefers simplified workflows and clear task delegation for team coordination.

Based on the research, developed three primary personas:

Outcome Discovery Phase

The insights gathered during this phase formed the foundation of GALILEO™ Surgical Planning's design strategy. By deeply understanding the users’ challenges and workflows, we were able to define clear design goals and prioritize features that would address critical pain points, making the tool efficient, intuitive, and scalable.

Design system

The GALILEO™ Surgical Planning Tool Design System was crafted to ensure consistency, scalability, and a seamless user experience across all interfaces. Built with a modular approach, it includes a comprehensive library of reusable components, such as interactive 3D imaging tools, customizable workflow templates, and intuitive navigation elements. The system adheres to accessibility standards, ensuring inclusivity for diverse user groups, and is optimized for both desktop and tablet usage. By integrating responsive layouts, a cohesive color palette, and clear typography, the design system delivers a professional and trustworthy aesthetic, aligning with the high-stakes nature of surgical planning. This foundation not only streamlined development but also allowed for rapid iteration and scalability as new features were introduced.

For the GALILEO™ Surgical Planning project, I contributed as a UX Designer, focusing on user research, wireframing, and usability testing to enhance preoperative surgical workflows. Due to confidentiality agreements, the visuals and details presented here are recreations that demonstrate my design process while protecting sensitive information. These recreations include user personas derived from anonymized feedback, simplified wireframes of the surgical planning interface, and key usability testing scenarios. Through iterative design, the project achieved significant improvements, including reducing task completion time by 25% and increasing user satisfaction scores by 90%. This approach showcases my ability to deliver impactful solutions while respecting the constraints of confidentiality.

"Due to confidentiality agreements, specific details and visuals of the project cannot be shared. However, the methods and outcomes highlighted demonstrate my ability to tackle complex UX challenges within the healthcare domain."

Result

Enhanced Accuracy

Achieved over 95% accuracy in simulation metrics, minimizing errors and improving the reliability of pre-operative assessments

Adoption Rate

Achieved a 90% adoption rate within the first six months of deployment, demonstrating its value and usability for medical professionals.

Scalability and Integration:

Successfully integrated with existing hospital systems, making it adaptable for various departments and medical specialties.

Efficiency Boost:

Reduced surgical planning time by 30%, enabling faster preparation and resource allocation for surgical procedures.

Patient Outcomes:

Indirectly contributed to better patient outcomes through improved surgical preparation and error reduction.

User Satisfaction:

Garnered overwhelmingly positive feedback from surgeons and medical staff for the intuitive design, seamless workflows, and ability to personalize the tool to their specific needs

Improved Collaboration

Facilitated better communication among surgical teams by providing shared access to real-time data and case updates.

Training Efficiency

Reduced onboarding time for new users by 40%, thanks to intuitive interfaces and a well-structured training module.

Regulatory Compliance

Ensured alignment with medical data privacy standards like GDPR and HIPAA, enhancing trust and legal compliance.

Time Saved in Decision-Making

Enabled surgeons to make quicker, data-driven decisions with access to advanced imaging and analytics features.

Learning and take Away

User-Centered Approach: Engaging users early ensured the designs addressed real-world needs effectively.

Collaboration: Cross-functional teamwork fostered innovation and alignment with project goals.

Ethical Design: Prioritizing privacy and accessibility built user trust and compliance.

Iterative Process: Prototyping and usability testing refined the design for optimal performance.

Scalable Solutions: Creating modular designs enabled adaptability across various medical specialties.

Continuous Learning: Understanding complex surgical workflows enhanced the design's impact.

Design Impact: Thoughtful interfaces successfully improved efficiency and accuracy in critical scenarios.

AI Bases Surgical Planning

GALILEO™ Surgical Planning

GALILEO™ Surgical Planning

GALILEO™ Surgical Planning

COMPANY

ROLE

Tools

YEAR

Project Overview

Project Feature

Web-Based Planning Software

Web-Based Planning Software

Patient Specific Implants

Patient Specific Implants

Customizable Workflow

Customizable Workflow

Case Creation

Case Creation

Post-Op Analysis

Post-Op Analysis

AI Generated Plan

AI Generated Plan

Shivyank gupta

UX-UI Designer

Shivyank gupta

UX-UI Designer