Advancing Healthcare through Data Processing: A Technical Review of Tools, Challenges, and Innovations

Author(s)	Kiran Veernapu
Country	United States
Abstract	The healthcare industry generates an enormous volume of data daily, from patient records and diagnostic tests to operational data and research findings. As healthcare systems evolve, effective data processing becomes critical to improving patient care, operational efficiency, and clinical decision-making. This paper reviews a selection of prominent data processing tools used in healthcare settings, categorizing them by functionality and exploring their strengths, challenges, and potential for integration. The review also highlights the importance of interoperability, data security, and compliance with regulations like HIPAA in the selection and deployment of these tools. The paper concludes with insights into the future of healthcare data processing, emphasizing the integration of Artificial Intelligence (AI), machine learning (ML), and big data analytics.
Keywords	Data processing tools, data integration in healthcare, AI, ML, Healthcare data, Electronic health record, clinical health data.
Field	Medical / Pharmacy
Published In	Volume 1, Issue 3, November 2020
Published On	2020-11-03
Cite This	Advancing Healthcare through Data Processing: A Technical Review of Tools, Challenges, and Innovations - Kiran Veernapu - IJLRP Volume 1, Issue 3, November 2020. DOI 10.5281/zenodo.14975996
DOI	https://doi.org/10.5281/zenodo.14975996
Short DOI	https://doi.org/g8653c

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