Connecting AI capabilities to real applications.
A web application concept using OpenAI transcription capabilities to help turn doctor–patient conversations into patient-profile information.
Conversation.
Transcript. Profile.
AI transcription, connected to a practical application workflow.
01 / THE PROBLEM
Clinical conversations contain information that must be captured and organised. MediScribe explored a conversation-to-patient-profile workflow.
02 / ROLE & IMPLEMENTATION
My work involved integrating the OpenAI API for transcription within the web application concept. The intended workflow moves from a conversation to a transcript and then to patient-profile information.
03 / DECISIONS & TRADE-OFFS
The contribution was application integration, not training or developing the underlying AI model. The goal was to explore a practical workflow that could reduce administrative effort.
04 / TESTING & RELIABILITY
No patient data, production screenshots, clinical validation, or security certification is published. Healthcare deployment would require appropriate consent, privacy safeguards, and human review.
05 / VERIFIED OUTCOMES
An application integration project exploring transcription in a healthcare workflow. Time savings and institutional adoption are not claimed.