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45Healthcare

Stanford University

Shaping the Future of Medicine Through Premier Education and Innovation

Next.jsTypeScriptPostgreSQLCanvas APIVideo StreamingAWS
Stanford University — Shaping the Future of Medicine Through Premier Education and Innovation
+Overview

Project overview

Stanford University is Shaping the Future of Medicine Through Premier Education and Innovation. Stanford Medicine offers cutting-edge education programs in medicine and health sciences. Built with high standards for performance, security, and intuitive user experiences, the platform is engineered to support mission-critical workflows and seamless scale.

+Industries
HealthcareEnterpriseDigital InnovationScalable Architecture
+Tech Stack
Next.jsTypeScriptPostgreSQLCanvas APIVideo StreamingAWS
// 01The Challenge

What was the problem or pain point

Client Dilemma & Technical Bottleneck

Stanford University's clinical research and medical education divisions required an advanced, high-interactivity digital education portal for specialized global surgical fellowships and medical student training. Standard learning management systems (Canvas, Blackboard) were static and text-heavy, unable to support multi-angle 4K surgical video streaming, synchronized slide annotations during live lectures, or interactive clinical diagnostic simulations with real-time feedback.

// 02Strategic Advice

What we suggested to the client

Solid Sphere Architectural Recommendation

Solid Sphere proposed building a bespoke medical educational platform combining high-definition adaptive video streaming, an interactive collaborative Canvas annotation layer, synchronized lecture chaptering, and automated competency assessments for medical fellows and clinical students.

+Key Complexities

What made this project challenging

01

Designing a premier interactive medical education portal for Stanford School of Medicine

02

Supporting high-resolution surgical video streaming with timestamped clinical annotations

03

Delivering interactive clinical diagnostic case simulations where students make treatment choices

04

Ensuring seamless single sign-on integration with Stanford University SUNet ID authentication

// 03Engineering Execution

What was implemented and how it was implemented

Step-by-Step Technical Execution

We developed the web platform using Next.js with TypeScript and TailwindCSS, creating a distraction-free, highly accessible academic learning environment. We engineered an adaptive bitrate video streaming player capable of rendering synchronized multi-angle surgical camera feeds (laparoscopic view and operating room overview simultaneously). We integrated the HTML5 Canvas API and WebSockets to allow professors and students to annotate video frames in real time during live or recorded lectures, highlighting anatomical landmarks and surgical planes. We developed an interactive clinical case evaluation module where students review patient histories, order diagnostic tests, and select surgical interventions, with automated scoring based on clinical guidelines. The system was integrated with Stanford's single sign-on (SSO) and Canvas LMS via LTI (Learning Tools Interoperability) standards, and deployed on secure AWS infrastructure.

+Key Deliverables

How we delivered

1

Engineered responsive medical curriculum portal with interactive patient case branching scenarios

2

Built custom HTML5 surgical video player supporting frame-by-frame scrubbing and expert commentary

3

Integrated Stanford SUNet ID via SAML 2.0 single sign-on with role-based access control

4

Developed clinical competency assessment engine tracking student diagnostic decision accuracy

// 04Architecture & Stack

What did we use to implement it

Technology Stack & Technical Rationale

Next.js and TypeScript provided server-rendered academic pages, instant navigation, and robust type safety. TailwindCSS enabled a refined, accessible visual design compliant with Stanford digital brand guidelines and WCAG AA standards. HTML5 Canvas API and WebSockets powered real-time collaborative video frame annotation. PostgreSQL stored student performance analytics, interactive case states, and course modules. AWS CloudFront and S3 provided global low-latency delivery of high-bitrate surgical video archives.

Next.jsTypeScriptPostgreSQLCanvas APIVideo StreamingAWS
+Results

Key outcomes

01

Used by over 2,500 Stanford medical students and faculty

02

Over 500 interactive clinical case modules created and deployed

03

98% student satisfaction rating for virtual surgical learning

04

Recipient of educational innovation recognition

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