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Effective communication is essential in the fast-evolving healthcare sector. Anadolu Health Center, a distinguished facility established by the Anadolu Foundation and in collaboration with Johns Hopkins Medicine, faces significant challenges in translating medical records into multiple languages. Historically, this task required skilled human translators, leading to considerable delays and increased costs. The introduction of Kloia's AI-driven solution, utilizing Amazon Web Services (AWS), represents a significant improvement in tackling these issues.
Anadolu Health Center focuses on oncology and bone marrow transplants, serving a diverse range of international patients from over 65 countries. It is crucial to ensure the accurate translation of complex medical documents to maintain high standards and continuity of patient care. Previously, relying on human translation sometimes led to delays and errors, which caused financial and operational difficulties.
Kloia has engineered an advanced solution that integrates artificial intelligence with the powerful capabilities of AWS. This system comprises several essential components:
- AWS Lambda and Amazon Translate API: These work in tandem to manage translation tasks efficiently and with high accuracy.
- Amazon Bedrock API: This tool evaluates translations by checking them against medical terms and linguistic rules, thereby improving the quality and dependability of the outcomes.
- An automated workflow through the AWS Transfer Family FTP service starts when a report is uploaded to Amazon S3. A URL for accessing the translated document is provided, and the document is sent to the requester's email via Amazon SNS.
This method significantly reduces the time needed for translations and decreases the reliance on human translators, thus minimizing errors.
The deployment of Kloia's AI-powered translation system at Anadolu Health Center has led to notable improvements:
Translation Time: There has been a 95% reduction in the time required to translate medical reports.
Cost Reduction: Translation expenses have been reduced by 90%, freeing up resources for vital healthcare services.
Operational Efficiency: The demand for human translators has decreased by 80%, greatly enhancing overall productivity.
These advancements have not only expedited the delivery of medical records but also ensured their accuracy and consistency, both vital for effective patient treatment.
Summary
The collaboration between Kloia and AWS has established Anadolu Health Center as a leader in healthcare translation technology. This case study illustrates how AI and cloud computing have transformed medical communication, offering efficient, reliable, and cost-effective solutions. The continuing digital transformation indicates that merging technology with healthcare can significantly improve global healthcare delivery and patient satisfaction.
This project sets a standard for other initiatives in the industry by demonstrating an effective method to address complex healthcare challenges using appropriate technology.