Optimizing data management in healthcare: Lessons from clinical trials and beyond
1 Tritek Business Consulting, London United Kingdom.
2 College of Nursing, Xavier University, Ohio, USA.
Review
World Journal of Biology Pharmacy and Health Sciences, 2024, 19(03), 218–231.
Article DOI: 10.30574/wjbphs.2024.19.3.0626
Publication history:
Received on 01 August 2024; revised on 08 September 2024; accepted on 11 September 2024
Abstract:
This study comprehensively explores the optimization of data management in healthcare by drawing on lessons learned from clinical trials and extending these insights to broader healthcare contexts. The study's purpose is to examine the challenges, strategies, and technological innovations that are essential for effective data management in modern healthcare systems. Utilizing a detailed literature review, the study identifies key methodologies from clinical trials that have successfully enhanced data integrity, accuracy, and security, such as the implementation of electronic data capture (EDC) systems and rigorous data governance frameworks. These methods are crucial in managing the increasing volume and complexity of healthcare data. The study's findings reveal that big data analytics and artificial intelligence (AI) are pivotal in transforming healthcare data management, enabling personalized and precise patient care. However, these technologies also introduce challenges related to data security, interoperability, and ethical considerations, particularly concerning patient privacy and the transparency of AI-driven decision-making processes. In conclusion, the study emphasizes the need for continuous innovation and improvement in healthcare data management practices. Recommendations include the integration of blockchain technology, cloud computing, and real-time data from wearable devices to address existing challenges and enhance data management capabilities. The study advocates for a balanced approach that prioritizes patient privacy, ethical governance, and regulatory compliance to ensure that technological advancements contribute positively to patient outcomes and healthcare efficiency.
Keywords:
Healthcare Data Management; Clinical Trials; Big Data Analytics; Artificial Intelligence; Data Security; Interoperability
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0