Implementing Cloud Healthcare Services using AWS and GCP

Details

This technical article explains how to handle and utilize medical data in a cloud environment. Specifically, it focuses on major services such as AWS HealthLake and Google Cloud Healthcare API. The article first outlines the process of structuring electronic medical records into FHIR (Fast Healthcare Interoperability Resources) format for centralized storage in the cloud. Furthermore, it introduces methods using Natural Language Processing (NLP) technology, like AWS Comprehend Medical, to automatically extract critical information such as diagnoses and medication details from unstructured clinical note text. By combining these services, the article demonstrates that data utilization goes beyond mere storage. It shows how large-scale medical data can be analyzed by AI for practical applications in clinical decision support (CDSS), such as predicting readmission risks or accelerating research into cancer and rare diseases. This knowledge provides insights directly applicable to solving challenges in Japanese healthcare IT systems, particularly regarding improved availability, security compliance (HIPAA compliance), and data shareability.