Improving Healthcare Data Management in HL7-Based EHR Systems with the Secure Infrastructure of Google Cloud Platform

The research investigates the implementation of a secure infrastructure on the Google Cloud Platform (GCP) to enhance healthcare data management within HL 7-Based Electronic Health Record (EHR) Systems. The study addresses challenges related to storing, processing, and accessing sensitive healthcare data by leveraging the advanced services and secure facilities offered by GCP. The study include evaluating the role of urban drainage flaws in triggering cascading effects on critical infrastructure, assessing the impact of blockchain-based electronic health record management systems, and discussing the data flow and security measures implemented within the GCP infrastructure. Methodologies employed include comparative analyses of processing time for user requests with and without authentication, comparison of time consumption and size for centralized versus blockchain-based Google Cloud Storage, evaluation of total throughput of Compute Engine instances, and analysis of variance in transfer time for file transfers. Results demonstrate the effectiveness of utilizing GCP services for secure, scalable, and efficient healthcare data management. Specifically, the proposed project achieves notable improvements in throughput efficiency, ensuring faster processing of user requests. It enhances efficiency in Google Cloud Storage time consumption, with blockchain-based storage requiring less time and space compared to centralized storage. The study highlights performance comparison between Proposed Google Cloud Storage and Amazon S3 Storage within the context of healthcare data management in HL 7 -based EHR systems using Google Cloud Platform's secure infrastructure. These findings contribute to the advancement of healthcare informatics and provide valuable insights for designing and deploying secure health care applications on cloud platforms, ultimately improving patient care and system performance.