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Healthcare Data Pipeline Architectures for EHR Integration, Clinical Trials Management, and Real-Time Patient Monitoring PDF

Published

2023-09-14

Issue

Vol. 8 No. 3 (2023): QJETI-JULY-AUGUST

Section

Articles

How to Cite

Avula, R. (2023). Healthcare Data Pipeline Architectures for EHR Integration, Clinical Trials Management, and Real-Time Patient Monitoring. Quarterly Journal of Emerging Technologies and Innovations, 8(3), 119–131. Retrieved from https://vectoral.org/index.php/QJETI/article/view/159

Healthcare Data Pipeline Architectures for EHR Integration, Clinical Trials Management, and Real-Time Patient Monitoring

Ramya Avula

Business Information Developer Consultant, Carelon Research

https://orcid.org/0009-0006-8476-8544

Keywords: clinical decision-making, data integrity, data pipelines, healthcare data management, HIPAA compliance, IoT data integration, ETL process

Abstract

The proliferation of data within healthcare necessitates the design of robust data pipelines to facilitate secure, and regulatory-compliant data management. The design of data pipelines for healthcare is necessary for the efficient management, processing, and analysis of diverse data sources while ensuring adherence to regulatory frameworks such as the Health Insurance Portability and Accountability Act (HIPAA). This paper outlines three distinct data pipeline architectures to address key needs within healthcare data management: \textit{Electronic Health Record (EHR) integration, clinical trial data management, and real-time patient monitoring}. The pipelines follows the Extract, Transform, Load (ETL) process and uses SQL, R, and SAS to maintain data integrity and to enable effective analysis. The proposed pipelines resolve challenges involving the integration of different data sources, the handling of both structured and unstructured data, and the management of ongoing data streams from IoT devices.

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