How AI Transcribes, Summarizes & Highlights Key Medical Conversations

Overview

A fast-growing outpatient clinic group that offers telehealth services faced a major issue in maintaining patient consultation documents. Another pain point for the doctors was keeping the manual records of every patient, leading to delays in consultations.

Technical Stack

LangChain
GPT Assistants API
Nest.js
Industry
Healthcare
Region
Singapore
Project Size
Non-Disclosable

Highlights

⏱️
Saved 5–7 minutes per consult on manual documentation
💡
Reduced post-visit patient confusion by 60%
🩺
Improved physician efficiency by 92%, as doctors reported faster consultation.
🤝
Enabled second-opinion consults with clear historical context
📄
Integrated summaries into insurance claims and audit trails

Challenges

Solutions

Challenges & Solutions

Delay Workflow due to Manual Note Taking

AI transcribes conversations, summarizes notes instantly, and updates EMRs, eliminating manual note-taking delays.

Missed Important Medical Information

AI highlighted key medical terms and advice in real time, ensuring no critical information was missed.

Incomplete Consultation Summaries

AI auto-generates a concise consultation summary with precision and detail.

Increased Doctor Cognitive Burden

Documentation work for the doctor gets minimized, as AI handles the process.

Language Barriers in Multilingual Consultations

With the help of NLP, multilingual transcription and summaries can be used for communication between doctors and patients across languages.

Automate Medical Notes with AI Today

Core Features

Conclusion:

The overall process and workload of the healthcare staff not only streamlined the medical consultations for the doctors but also drove them towards better patient care and actionable outcomes.

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