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In toxicology consultations, precision matters. Documenting the right lab values, treatments, and clinical changes can directly impact care, follow-up, and outcomes. However, traditional speech-to-text tools lack the clinical intelligence to differentiate between a benign number and a life-threatening trend.

In a recent ICU follow-up call in Arizona, MedSpeech demonstrated how clinical AI transforms routine documentation into structured, accurate, and actionable insight, without relying on human memory or generic dictation software.

Case Summary: Severe Toxicity and Multi-Organ Dysfunction

A poison control follow-up call revealed the following clinical picture:

  • Patient status: Intubated and unresponsive, but with preserved cough, gag, and pupillary reflexes

  • Hemodynamics: On two vasopressors for bradycardia and junctional rhythms

  • Renal support: 24-hour continuous dialysis

  • Respiratory: Breathing over ventilator, FiO₂ 95% (on 45% oxygen)

  • Mental status: No meaningful response

Laboratory Findings (Extracted by MedSpeech)

Lab results auto-extracted by MedSpeech voice-to-text clinical tool showing markedly elevated liver enzymes (ALT 3415, AST 3430), severe coagulopathy (INR 8.71, PT 67.4), elevated ammonia (191), and elevated total bilirubin (5.7), indicating potential acute liver injury and hyperammonemia. Additional findings include elevated creatinine, lactate, low albumin, normal ABG, low methemoglobin, and subtherapeutic valproic acid level. Ideal for toxicology case documentation and SOAP note generation.
Liver failure with hyperammonemia auto-extracted by MedSpeech.

What MedSpeech Did Differently

Corrected Misheard Medical Terms

  • “F b o two” ➝ FiO₂

  • “Carnitrol” ➝ Carnitine

  • “Methyl methamoglobin” ➝ Methemoglobin

Identified and Interpreted Key Abnormalities

  • Flagged elevated ammonia, liver enzymes, coagulation parameters, and renal impairment

  • Highlighted administration of vasopressors and carnitine

Structured Output: Medical Toxicology SOAP Note

MedSpeech automatically generated a fully formatted SOAP note, including:

  • Subjective: Unresponsive, intubated, receiving carnitine

  • Objective: Multi-system lab abnormalities, on dialysis, and vasopressors

  • Assessment: Acute liver failure, coagulopathy, suspected valproic acid toxicity

  • Plan: Continue CVVH, monitor labs, titrate vasopressors, maintain carnitine therapy

MedSpeech System Components Used in This Case

Table showing MedSpeech AI components and clinical functions, including Transcriber for speaker separation, Medical Term Corrector for misheard terms, Lab Interpreter for clinical lab value mapping, Symptom Extractor for mental and respiratory status, SOAP Generator for structured documentation, and Guideline Mapper for toxicity criteria detection like valproic acid with hyperammonemia
MedSpeech: AI tools for toxicology call documentation.

Clinical Value of MedSpeech

In severe toxic exposures with multi-organ involvement, every misstep in documentation risks treatment delays, confusion during handoffs, and missed reporting.

MedSpeech ensures:

  • Accurate capture of nuanced clinical details

  • Automatic interpretation of lab data

  • Immediate readiness for record inclusion or toxicologist handoff

This case showcased severe toxicity with lab-confirmed hepatic failure, hyperammonemia, coagulopathy, and the need for critical care support. MedSpeech processed the entire call, including corrections, interpretation, and SOAP output, without manual transcription or secondary review.

Final Word

Generic dictation stops at transcription.
MedSpeech goes further — into structured, toxicology-aware documentation that helps save lives and time.

Explore MedSpeech at:
🔗 https://medicaltoxic.com/services/medspeech

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Emergency Toxicology

Author:

Bio:

Dr. Omid Mehrpour (MD, FACMT) is a senior medical toxicologist and physician-scientist with over 15 years of clinical and academic experience in emergency medicine and toxicology. He founded Medical Toxicology LLC in Arizona and created several AI-powered tools designed to advance poisoning diagnosis, clinical decision-making, and public health education. Dr. Mehrpour has authored over 250 peer-reviewed publications and is ranked among the top 2% of scientists worldwide. He serves as an associate editor for several leading toxicology journals and holds multiple U.S. patents for AI-based diagnostic systems in toxicology. His work brings together cutting-edge research, digital innovation, and global health advocacy to transform the future of medical toxicology.

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