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How To Revolutionize Clinical Trials with the Power of Voice and AI
- Traditional clinical trials face inefficiencies due to manual processes like transcription and documentation, impacting data accuracy and timelines.
- Voice data represents valuable qualitative information, and AI technologies like ASR and LLMs can automate transcription and extract critical insights.
- The proposed architecture for voice-enabled AI in clinical trials leverages AWS services from mobile/web apps to compliance checking.
- Securely capturing audio data involves using mobile/web apps integrated with AWS services for efficient data transfer.
- Real-time transcription with Amazon Transcribe Medical streamlines the process and provides precise transcripts with speaker labels.
- Large Language Models (LLMs) aid in summarization, question answering, and entity extraction, enhancing understanding of medical conversations.
- Amazon Comprehend Medical extracts medical entities and codes from transcribed text, offering specialized NLP analysis.
- Automation through Compliance Checker Lambda function enables real-time compliance checks, improving protocol adherence.
- EventBridge orchestrates workflows, while CloudWatch monitors and alerts on compliance status for audit trails.
- Deployment considerations include HIPAA compliance, data encryption, scalability, and fault tolerance for reliable operations.
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