Real-Time Transcription
As you record your patient encounter, PatientNotes transcribes the conversation in real-time. You'll see text appearing on the Transcript tab as you speak, allowing you to verify the recording is working correctly.
Processing Time
Speaker Identification
PatientNotes uses AI-powered speaker diarization to distinguish between different voices in the conversation. Each speaker is labeled to keep the transcript organized.
Automatic Speaker Labels
PatientNotes automatically identifies and labels speakers as "Clinician" and "Patient" based on voice patterns and conversational context.
How Speaker Identification Works
The AI analyzes several factors to identify speakers:
- Voice characteristics: Pitch, tone, and speech patterns
- Conversational context: Medical terminology usage, question/answer patterns
- Spatial cues: Direction and distance from the microphone
- Learning: The system improves with use as it learns your voice patterns
Multiple Speakers
PatientNotes can handle conversations with more than two speakers, such as when a family member is present or during a consultation with another provider. Additional speakers are labeled as "Speaker 3," "Speaker 4," etc.
Improving Accuracy
Viewing the Transcript
The Transcript tab displays your conversation organized by speaker, with timestamps for reference.
Transcript Features
Search
Use the search function to find specific words or phrases in your transcript. Helpful for long encounters.
Edit Mode
Click on any section to edit the transcript directly. Corrections here will improve the generated note.
Editing the Transcript
While transcription is highly accurate, you may occasionally need to make corrections. Editing the transcript before generating notes can improve the final output.
When to Edit
Consider editing the transcript when:
- Medical terms are misspelled or incorrect
- Drug names or dosages are wrong
- Patient names or identifiers need correction
- Important details were missed or misheard
- Speaker labels are incorrect
How to Edit
- Switch to the Transcript tab
- Click on the section you want to edit
- Make your corrections directly in the text
- Changes are saved automatically
Focus on Key Information
Transcription Accuracy
PatientNotes uses state-of-the-art speech recognition optimized for medical conversations. Accuracy depends on several factors:
Higher Accuracy
- ✓ Clear audio quality
- ✓ Minimal background noise
- ✓ Standard medical terminology
- ✓ Speakers take turns
- ✓ Good microphone placement
May Reduce Accuracy
- • Background noise
- • Speakers talking over each other
- • Heavy accents or dialects
- • Unusual drug names
- • Very soft speech
Medical Vocabulary
PatientNotes is trained on medical conversations and recognizes a vast range of medical terminology, including:
- Drug names and dosages
- Medical conditions and diagnoses
- Anatomical terms
- Procedures and tests
- Medical abbreviations
The system continuously learns and improves its medical vocabulary based on usage patterns.
Common Transcription Issues
The transcript is missing parts of the conversation▼
This usually indicates an audio issue. Check that:
- • Your microphone is working properly
- • The microphone is positioned to capture all speakers
- • Browser permissions are granted for microphone access
- • No other applications are using the microphone
Speaker labels are switched or incorrect▼
Speaker identification can occasionally mix up speakers, especially at the start of a recording or when speakers have similar voices. You can edit the transcript to correct speaker labels, and the note generation will use your corrections.
Drug names are misspelled▼
Unusual or brand-name medications may occasionally be misspelled. You can correct these in the transcript before generating notes, or fix them directly in the generated note. Consider spelling out unusual drug names during the conversation for better accuracy.
The transcript shows "[inaudible]"▼
This appears when the AI couldn't confidently transcribe a segment. Common causes include:
- • Very quiet speech
- • Overlapping voices
- • Loud background noise at that moment
If you remember what was said, you can edit the transcript to fill in the content.
Next Steps
With your transcript ready, it's time to generate a clinical note. Learn how to choose templates and create documentation.