SpeakMed

Real-time medical translation that eliminates language barriers in healthcare settings.

“Doctor, I think she's saying her chest hurts...
or maybe it's her stomach? I'm not sure."

In American hospitals, this scene plays out thousands of times daily as healthcare providers struggle to understand patients who speak different languages.

The consequences are staggering. A University of Maryland study revealed that poor communication wastes $12 billion annually in the U.S. healthcare system. For a typical 500-bed hospital, that translates to $4 million in recoverable costs.

While communication challenges affect 5-10% of the general population, they impact more than 15% of hospital admissions. These aren't just statistics—they represent real patients experiencing delayed diagnoses, inappropriate treatments, and prolonged hospital stays.

SpeakMed transforms this reality. Our real-time medical translation technology bridges the language gap between providers and patients, ensuring accurate communication when it matters most.

What could your facility do with recovered costs? How many lives could be improved with instant, accurate medical translations?

Guided AI Translations

Capabilities

  • Instant, accurate translation of conversations and medical terminology through simple web and mobile interfaces optimized for clinical workflows

  • Specialized medical language models understand context-specific terminology, reducing dangerous mistranslations

  • Optional conversation summarization, next steps, and follow-ups for patients and clinician check-out procedures.

  • Dynamic branding and information links for use in facilities across enterprise footprint.

Security

  • API-based OEM integration allows healthcare software providers to embed our technology in existing systems

  • HIPAA-compliant architecture ensures patient data remains secure

  • Logged conversations for permission-controlled use by patients, care providers, and auditors accessing patient EMR

  • Optional anonymized statistics to review usage trends and treatment compliance.

Opportunity

  • Machine Translation accuracy for clinical terminology has steadily grown in the last five years. Industry translation evaluations achieved up to 97% accuracy across major language pairs in 2023 compared to 82% accuracy for similar terminology in 2021.

  • Industrial research and application of medical LLM and GPT-based AI solutions show clinical understanding accuracy above 95% and QA accuracy above 81%.

  • With human interactions and translations as the gold standard, guided solutions can provide intermediate solutions for clinicians with high usability and satisfaction scores.

Explore Opportunities

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