Medical transcription, clinical notes, patient records — medical-domain reviewers validate every term, dosage, and diagnosis before it enters the record.
Patient: Jane Doe, 54F
Visit type: Follow-up — Type 2 Diabetes
Transcript:
Patient presents for follow-up of type 2 diabetes. Current medications include Metformin 1000mg BID and glipizide 10mg QD. Patient reports intermittent dizziness over the past two weeks, primarily in the morning. HbA1c resulted at 7.2%, down from 8.1% three months ago. Blood pressure 128/76 mmHg. No signs of neuropathy. Patient counseled on dietary management and continued medication adherence.
Metformin 1000mg BID — confirm dosage. Standard starting dose is 500mg BID. 1000mg BID is within therapeutic range but verify against patient record if available.
"Intermittent dizziness" — audio at 2:14 sounds like "dizziness" but could be "weakness". Request clarification or re-listen. Clinical context suggests dizziness is plausible (morning timing, possible hypoglycemia from glipizide).
HbA1c 7.2% — verify audio. Sounds like "seven point two" but initial syllable is clipped. Confirm against lab order context. Previous was 8.1% — improvement is consistent with metformin uptitration.
AI-generated clinical notes validated by medical-domain reviewers for terminology accuracy and completeness.
Verify AI-drafted radiology findings against imaging, ensuring clinical accuracy and appropriate terminology.
Ensure AI-generated discharge instructions are clinically accurate, complete, and use patient-appropriate language.
Put a medical-domain reviewer between your model and the chart. Catch hallucinated dosages, mis-coded ICD-10/CPT claims, and contraindications before they reach a clinician. Enterprise customers can request a BAA and HIPAA controls.
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