Real-Time EHR Analysis and Predictive Healthcare Decisions: A Novel API Framework |
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| © 2024 by IJCTT Journal | ||
| Volume-72 Issue-10 |
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| Year of Publication : 2024 | ||
| Authors : Saigurudatta Pamulaparthyvenkata, Ramesh Babu Radhakrishnan | ||
| DOI : 10.14445/22312803/IJCTT-V72I10P122 | ||
How to Cite?
Saigurudatta Pamulaparthyvenkata, Ramesh Babu Radhakrishnan, "Real-Time EHR Analysis and Predictive Healthcare Decisions: A Novel API Framework ," International Journal of Computer Trends and Technology, vol. 72, no. 10, pp. 148-159, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I10P122
Abstract
This research introduces HEALTHCARE API (Healthcare Analytics and Real-time Monitoring ON You), a framework designed for advanced Electronic Health Record (EHR) analysis, continuous patient monitoring, and real-time clinical decision making. Built on the SMART on the FHIR platform, it ensures seamless integration across healthcare systems. A key technical contribution is using Python wrappers, simplifying API interactions by abstracting complexities and enabling efficient EHR data management. The API is based on Python libraries such as Pandas and NumPy to support solid integration of the data that could be cleaned, transformed, and analyzed over large healthcare datasets efficiently. Besides, it addresses interoperability issues, allowing free and complete data flows between systems while assuming incompatible data formats such as JSON, XML, and CSV by transforming them correspondingly. It optimizes performance, minimizing network latency to improve server response times and ensure reliable data synchronization. HEALTHCARE API complies with healthcare regulations, such as HIPAA, using secure data transmission and storage strategies. Additionally, the framework uses AWS EC2 instances for scalability, ensuring dynamic scaling to handle large volumes of data. Automation of data flows is achieved through the use of Apache Airflow, enhancing efficiency and operational reliability. Thereby, HEALTHCARE API integrates machine learning, predictive analytics, and real-time data processing, offering actionable insights that empower healthcare providers to make informed, personalized care decisions.
Keywords
HEALTHCARE API, Electronic Health Records, Predictive Analytics, Real-Time Patient Monitoring, Healthcare and Interoperability.
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