Introduction
The Nabla Core API provides advanced tools to transcribe medical encounters, generate structured clinical notes, extract FHIR-normalized data, and more β all optimized for clinical workflows and seamless integration.
Whether youβre building a telehealth platform, an EHR, or a voice-enabled documentation tool, the Nabla Core API is designed to help you go from raw audio to structured data with minimal effort.
Core capabilitiesβ
π©Ί Medical encounter transcriptionβ
Transcribe doctorβpatient conversations using a medical-grade speech-to-text engine, fine-tuned to recognize terminology like medications, symptoms, and diagnoses.
- For real-time use cases: Use the WebSocket Transcribe endpoint.
- For recorded files (β€10 minutes): Use the REST Transcription endpoint.
- For longer files (β€60 minutes): Use the asynchronous REST endpoint.
π Clinical note generationβ
Transform a transcript into a well-structured clinical note using medical templates like SOAP, APSO, or WCC.
- Supports synchronous and asynchronous workflows.
- Customize per-section content, format (paragraphs vs bullet points), and level of detail.
- Add patient context or enrich an existing note incrementally.
βοΈ Edit note with instructionsβ
Also known as Magic Edit, this feature lets you refine a Nabla-generated clinical note using natural language instructions.
- Provide short, human-readable guidance like "Make note more concise" or "Add more details in the Plan section".
- The original transcript and note are used as context to ensure accurate and relevant edits.
- Great for last-mile customization or for incorporating provider feedback post-generation.
π Patient-friendly instructionsβ
Generate post-visit summaries written in patient-friendly language.
- Supports pediatric contexts via
recipient_type
(e.g., "PARENT"). - Multi-language support with localized output.
π§ Normalize structured dataβ
Extract FHIR-compatible structured data from a Nabla-generated clinical note:
- Extract conditions with ICD-10 codes.
- Capture family history and patient observations with LOINC codes.
- Output aligns with EHR-ready formats for seamless integration.