Understanding the Impact of AI-Powered Medical Interpretation & Patient Communication
Artificial intelligence is making waves in medical interpretation, but is it really up to the task? As healthcare providers strive to communicate effectively with diverse patient populations, it's crucial to understand both the promise and the pitfalls of AI-driven solutions.
Our in-depth research study breaks down the performance of leading AI tools in transcription, translation, and speech, revealing where they shine and where they stumble. Get the insights you need to navigate this complex landscape and make informed decisions prioritizing patient safety and care.
Over a three-month pilot period in 2024, GLOBO Language Solutions assessed a spectrum of language and speech technologies, including traditional approaches and various modern generative AI models, including Large Language Models (LLMs) and their multimodal variants. The study aimed to better understand their capabilities and ensure that the AI-enabled interpretation handled provider-patient communication with care and consideration.
Our novel research is designed to provide healthcare leaders with key insights into AI interpretation performance. This guide presents an executive summary covering four key domains:
- Assessing the process of AI interpretation
- Evaluating how AI-enabled interpretation is measured
- Exploring the current state of AI tools
- Identifying where AI technologies fall short with interpretation
Gain insights into the current state of AI interpretation.
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