Medical Scribe - Eka Developer Platform APIs

Eka Care brings cutting-edge GenAI capabilities to the medical speech processing. Our models not only provide better transcription accuracies (WER) but also
enable seamless translation of of spoken medical information into structures.

Designed specifically for the unique challenges of healthcare and linguistic nuances in India, this feature ensures accurate, context-aware transcription for medical concepts. Eka’s medical scribe is optimized for diverse accents, dialects, and terminologies prevalent in the Indian healthcare ecosystem, providing unparalleled accuracy and contextual relevance.

Use-Cases

Electronic Medical Records (EMRs)
Physicians through dictating or just recording their consultation with patients can readily created structured medical documents. Eka’s scibe technology automates this process, ensuring accurate and contextually enriched EMRs. It supports medical professionals by saving time and improving patient documentation quality.
Telemedicine Platforms
Virtual consultations involve rich verbal interactions that often include complex medical terminologies. Our solution enables near real-time transcription of doctor-patient conversations, helping platforms provide post-consultation summaries, auto-filled prescriptions, and structured clinical notes.
Clinical Research
Interviews and case studies form an essential part of clinical research. Our solution allows researchers to transcribe large volumes of spoken data efficiently, converting them into structured datasets that aid analysis and insights.
Insurance Claim Processing
Voice-recorded claims and customer support interactions often contain critical health-related information. By transcribing and structuring these interactions, our services can simplify the claims process for insurers, improving turnaround times and customer satisfaction.

Technology Deep-Dive

Eka’s medical scribe is powered by custom audio LLMs optimized for medical contexts and Indian speech in different languages and accents, outperforming general-purpose ASR services. Our models are trained on a vast corpus of medical speech recordings, ensuring exceptional accuracy for domain-specificity.

Key technological features include:

Medical Vocabulary Integration: Incorporates medical terms, drug names, and diagnostic terminology into the transcription process, ensuring precision.
Accent and Dialect Handling: Designed to accurately transcribe diverse Indian accents and regional pronunciations common in healthcare interactions.
Noise and Interruptions Filtering: Handles real-world audio scenarios like overlapping speech or background noise, producing clean and reliable transcriptions.

Our solution involves two major steps:

Speech to text transcription / translation: This step transcribes speech signal into text.
Entity extraction and linking: In this step transcription is converted into a well structured medical data. Our structuring granularity goes beyong SOAP summaries providing entity level control.

Evaluation / Benchmarks

EkaCare’s scribe solution consistently outperforms general-purpose systems and SOTA models as demonstrated by the benchmark table below. This table summarises WER on our in-house curated benchmarking dataset against SOTA models and services. The results reported here are for the speech transcription part of the solution.

Category	Parrotlet-A	Whisper V3 Base	Wav2Vec	AWS Transcribe	AWS Custom
top_50k_meds	0.23	0.39	0.59	0.58	0.37
top_2k_advices	0.14	0.22	0.31	0.26	0.21
top_2k_diagnosis	0.21	0.28	0.57	0.40	0.36
all_generics	0.91	1.21	1.38	1.29	1.04
random_2k_symptoms	0.16	0.25	0.37	0.29	0.27
top_2k_lab_tests	0.23	0.40	0.53	0.45	0.45
top_5k_manufacturers	0.22	0.36	0.47	0.50	0.37
top_2k_symptoms	0.21	0.30	0.42	0.40	0.33
random_2k_diagnosis	0.26	0.28	0.47	0.39	0.36
all_eka_medication_names	0.37	0.49	0.52	0.59	0.51
Overall	0.29	0.42	0.56	0.52	0.43

Try-it-Out

Experience the power of EkaCare’s medical scribe with our developer-friendly API.

Visit our API Documentation to get started.
Upload a sample dictation and see our technology in action.
Contact us for a custom demo tailored to your use case.

Ready to unlock the full potential of medical data? Get in Touch today.

On this page

Use-Cases
Technology Deep-Dive
Evaluation / Benchmarks
Try-it-Out

Use-Cases

Electronic Medical Records (EMRs)
Physicians through dictating or just recording their consultation with patients can readily created structured medical documents. Eka’s scibe technology automates this process, ensuring accurate and contextually enriched EMRs. It supports medical professionals by saving time and improving patient documentation quality.
Telemedicine Platforms
Virtual consultations involve rich verbal interactions that often include complex medical terminologies. Our solution enables near real-time transcription of doctor-patient conversations, helping platforms provide post-consultation summaries, auto-filled prescriptions, and structured clinical notes.
Clinical Research
Interviews and case studies form an essential part of clinical research. Our solution allows researchers to transcribe large volumes of spoken data efficiently, converting them into structured datasets that aid analysis and insights.
Insurance Claim Processing
Voice-recorded claims and customer support interactions often contain critical health-related information. By transcribing and structuring these interactions, our services can simplify the claims process for insurers, improving turnaround times and customer satisfaction.

Technology Deep-Dive

Key technological features include:

Medical Vocabulary Integration: Incorporates medical terms, drug names, and diagnostic terminology into the transcription process, ensuring precision.
Accent and Dialect Handling: Designed to accurately transcribe diverse Indian accents and regional pronunciations common in healthcare interactions.
Noise and Interruptions Filtering: Handles real-world audio scenarios like overlapping speech or background noise, producing clean and reliable transcriptions.

Our solution involves two major steps:

Speech to text transcription / translation: This step transcribes speech signal into text.
Entity extraction and linking: In this step transcription is converted into a well structured medical data. Our structuring granularity goes beyong SOAP summaries providing entity level control.

Evaluation / Benchmarks

Category	Parrotlet-A	Whisper V3 Base	Wav2Vec	AWS Transcribe	AWS Custom
top_50k_meds	0.23	0.39	0.59	0.58	0.37
top_2k_advices	0.14	0.22	0.31	0.26	0.21
top_2k_diagnosis	0.21	0.28	0.57	0.40	0.36
all_generics	0.91	1.21	1.38	1.29	1.04
random_2k_symptoms	0.16	0.25	0.37	0.29	0.27
top_2k_lab_tests	0.23	0.40	0.53	0.45	0.45
top_5k_manufacturers	0.22	0.36	0.47	0.50	0.37
top_2k_symptoms	0.21	0.30	0.42	0.40	0.33
random_2k_diagnosis	0.26	0.28	0.47	0.39	0.36
all_eka_medication_names	0.37	0.49	0.52	0.59	0.51
Overall	0.29	0.42	0.56	0.52	0.43

Try-it-Out

Experience the power of EkaCare’s medical scribe with our developer-friendly API.

Visit our API Documentation to get started.
Upload a sample dictation and see our technology in action.
Contact us for a custom demo tailored to your use case.

Ready to unlock the full potential of medical data? Get in Touch today.

On this page

Use-Cases
Technology Deep-Dive
Evaluation / Benchmarks
Try-it-Out

​Use-Cases

​Technology Deep-Dive

​Evaluation / Benchmarks

​Try-it-Out

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​Use-Cases

​Technology Deep-Dive

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Use-Cases

Technology Deep-Dive

Evaluation / Benchmarks

Try-it-Out

Use-Cases

Technology Deep-Dive

Evaluation / Benchmarks

Try-it-Out