Spoken input
Conversations have to be transcribed before they can be analysed.
Healthcare Speech-NLP Model: Doctor Patient Conversation to Structured Clinical Data
Doctor Patient Conversation to Structured Clinical Data
The Healthcare Speech-NLP Model is a Technomous product that turns doctor-patient conversations into standardised clinical data, mapped to ICD-10 and SNOMED, for documentation and integration.
The Challenge
What stood in the way.
Doctor-patient conversations hold valuable clinical information, but converting them into standardised clinical data for documentation and integration is slow and inconsistent by hand.
Varied vocabulary
Doctors and patients describe the same thing in different words.
Coding standards
Output must use recognised coding systems to integrate with other systems.
Our Solution
How we answered it.
We built a pipeline that processes the conversation through ASR, applies medical NLP and named entity recognition to identify symptoms, conditions, medications and procedures, normalises the vocabulary and maps it to ICD-10 and SNOMED, producing structured clinical output.
- ProblemConversations start as speech.Our answerWe use ASR to transcribe each conversation before analysis.
- ProblemThe same concept is described in many ways.Our answerWe added named entity recognition and vocabulary normalisation.
- ProblemOutput must integrate with clinical systems.Our answerWe map results to ICD-10 and SNOMED and produce structured clinical output.
How It Works
The parts that made the difference.
Conversation processing
The model takes a full doctor-patient conversation as input.
ASR
Automatic speech recognition transcribes the conversation.
Medical NLP
Medical NLP interprets the clinical content of the transcript.
Named entity recognition
NER picks out the clinical entities in the text.
Results
What changed for the client.
The model turns consultations into data that is ready for documentation and integration.
- Doctor-patient conversations converted into standardised clinical information
- Integration-ready output for analytics and documentation
- Symptoms, conditions, medications and procedures mapped to ICD-10 and SNOMED
Technology
What it was built with.
Part of our AI and machine learning work.
- ASR
- Medical NLP
- NER
- ICD-10
- SNOMED
- Structured Clinical Data
Let’s Talk
The next big thing starts with a conversation.
An idea, a challenge, a “what if”. Tell us what you have in mind, and we’ll figure out the next step together.
What happens next
- Share your ideaSend the form or book a call, whichever suits you.
- Discovery callWe talk through your goals, timeline and scope.
- A clear proposalA fixed price or monthly rate before any work begins.
- info@technomous.com
- Phone
- +92 333 0440459
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