In outpatient care, 58% of scribe outputs were accepted unchanged; users reported positive experience, with some evidence of hallucinations or incorrect outputs. #AmbientScribe #OutpatientCare #ClinicalDocumentation doi.org/10.1186/s129...

In outpatient care, 58% of scribe outputs were accepted unchanged; users reported positive experience, with some evidence of hallucinations or incorrect outputs. #AmbientScribe #OutpatientCare #ClinicalDocumentation doi.org/10.1186/s129...
Six notes. Four med lists. One buried family history. Patient AI Summary in DocVilla reads the chart for you – a structured pre-visit recap, with shaky items flagged. Not a scribe. Not a diagnosis.
More: https://www.docvilla.com/ai-healthcare/patient-ai-summary-ehr/
JMIR Formative Res: Quality Assessment of Physician Discharge Summaries: Instrument Development and Reliability Study #PatientSafety #HealthcareQuality #DischargeSummaries #ClinicalDocumentation #QualityImprovement
Six notes. Four med lists. One buried family history. Patient AI Summary in DocVilla reads the chart for you – a structured pre-visit recap, with shaky items flagged. Not a scribe. Not a diagnosis.
More: https://www.docvilla.com/ai-healthcare/patient-ai-summary-ehr/
Title: Non-lexical Sounds in ASR for Clinical Documentation
⚠️ NLCS poorly recognized in clinical ASR
🚫 Clinically relevant NLCS misrecognized with 94.7% (Google) and 98.7% (Amazon) error rates
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#ClinicalDocumentation #ASR #PatientSafety #NLP #HealthcareTech
NHS England is accelerating deployment of artificial intelligence tools across the healthcare system to reduce waiting times an… #Artificialintelligence #Clinicaldocumentation #Healthcareefficiency #NHS #Patientwaitingtimes #Artificialintelligence #Clinicaldocumentation #Healthcareefficiency #N…
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Research explores NLCS impact on ASR in clinical docs.
🧩 135,647 words; 3284 NLCS (2.4%)
🧩 76 NLCS (2.3%) held clinical info
🧩 WER for Google ASR: 11.8%; Amazon ASR: 12.8%
#ClinicalDocumentation #ASR #NLCS #HealthcareInnovation
Are "Mm-hm," "Uh-uh" hindering ambient clinical documentation tech?
📉 2.4% NLCS & 0.06% clinically relevant in data
📝 11.8% WER Google, 12.8% WER Amazon
#ASR #NLCS #ClinicalDocumentation #PatientSafety https://dev.tnyp.me/jyCvTXy1/s
Heidi fine-tuned and deployed medical speech recognition for clinical documentation, using synthetic multilingual data, distributed GPU training, and scalable AWS serving. The platform supports 2.4M+ consultations weekly. #HealthcareAI #SpeechRecognition #ClinicalDocumentation
Are non-lexical sounds.
- 📉 11.8% WER for Google, 12.8% for Amazon
- ❌ Google error: 40.8%, Amazon: 57.2% in NLCS
- ℹ️ 2.4% of 135647 spoken words were NLCS
DOI: https://tnyp.me/Npmiz0F4/s
#ClinicalDocumentation #ASR #NLCS