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HealthTech2024Medtranscript
Medtranscript
Summarise patient-doctor conversations
Client: MedtranscriptTimeline: 7 monthsMedicalDialogueHealthTech Product OwnerHealthTech
7 months
Timeline
Completed
Status
Executive snapshot
Medtranscript uses AI to transcribe and summarize patient-doctor conversations, flagging missing diagnoses and improving documentation.
Manual transcription is slow and error-prone.
Live desktop experience
MedicalDialogue
Summarise patient-doctor conversations
Responsive mobile view
Project focus
Medtranscript at a glance
Summarise patient-doctor conversations
Client: MedtranscriptTimeline: 7 monthsMedicalDialogueHealthTech Product OwnerHealthTech
Product summary
MedicalDialogue
Client tension
Client goal
01
Manual transcription is slow and error-prone.
Manual transcription is slow and error-prone.
Delivery move
Delivered solution
02
Automated transcription and summarization with AI.
AI Transcription
Diagnosis Flagging
Buyer lens
Key takeaway
03
MedicalDialogue
Record Medical Dialogue
Conversation Insights
AI Transcription
Diagnosis Flagging
Live walkthrough
Live product walkthrough
Review the live healthtech experience for Medtranscript and compare the shipped interface to the case study narrative.
med-transcript.vercel.app
Loading live website
Project narrative
Inside Medtranscript
Medtranscript is structured around Record Medical Dialogue, Conversation Insights, and AI Transcription.
Product summary
Summarise patient-doctor conversations
Record Medical DialogueConversation InsightsAI TranscriptionDiagnosis Flagging
Medtranscript positioning
Positioning
01
Summarise patient-doctor conversations
Manual transcription is slow and error-prone.
Solution direction
Experience
02
Automated transcription and summarization with AI. AI-powered, doctor-focused design.
AI Transcription
Diagnosis Flagging
Flow map
Key flows
03
Medtranscript guides users through Record Medical Dialogue, Conversation Insights, and AI Transcription.
Record Medical Dialogue
Conversation Insights
AI Transcription
Diagnosis Flagging
Connected systems
Integrations
04
AI-powered, doctor-focused design.
Product experience
Key moments inside Medtranscript.
The supporting visuals below focus on the interface details, brand treatment, and product surfaces that make Medtranscript feel polished and credible.
Live website sections to notice
Record Medical Dialogue
Conversation Insights
AI Transcription
Diagnosis Flagging
Tech stack
What powers Medtranscript
Medtranscript runs on OpenAI API, React, and Node.js.
Core stack
Primary technologies
OpenAI API
Transcription and summarization
React
User interface
Node.js
API and processing
Security and compliance
Security
Data encryption
System architecture
Architecture
OpenAI API
React frontend
Core tools used
Tools
OpenAI API
React
Node.js
Production readiness
Launch details
Medtranscript was prepared for launch with API caching, Screen reader support, and OpenAI API.
Performance work
Performance
01
API caching
SSR
Accessibility features
Accessibility
02
Screen reader support
Alt text
Deep-dive stack
Implementation
03
OpenAI API
React
Node.js
Project FAQ
Common questions
Answers about Medtranscript, the launch, and the build decisions behind it.
Yes, fully compliant.
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