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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
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Issue Published : 112
Article Submitted : 17346
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Total Authors : 20065
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| Paper Title: | OPTIMIZING HEALTHCARE DATA MANAGEMENT: COMPARATIVE ANALYSIS OF DATA STRUCTURES AND THEIR IMPACT ON PATIENT CARE |
| Authors Name: | Pamuri. Vijay Kumar Reddy , Prasad Peddi , B. Srinivasulu |
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IJRTI_190244
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| Published Paper Id: | IJRTI2408028 |
| Published In: | Volume 9 Issue 8, August-2024 |
| DOI: | |
| Abstract: | Efficient data management is crucial for enhancing patient care and optimizing healthcare delivery systems. This research paper provides a comprehensive analysis of various healthcare data structures, including relational, hierarchical, and network databases. The study examines these data structures based on criteria such as efficiency, scalability, and interoperability, highlighting their respective strengths and weaknesses. Relational databases demonstrate high efficiency for structured queries and transactions, making them suitable for traditional healthcare applications. Hierarchical databases excel in managing data with clear parent-child relationships but can become cumbersome with increased complexity. Network databases, known for handling complex many-to-many relationships, offer superior scalability and interoperability, essential for advanced healthcare analytics and patient care coordination. The study identifies common challenges in healthcare data management, such as data silos, interoperability issues, and data quality variability. Through detailed case studies, the research illustrates practical implications, showcasing both successful and problematic implementations. The findings emphasize the importance of selecting appropriate data structures based on specific healthcare needs and recommend best practices for enhancing data integration and management. By advancing the understanding of healthcare data structures, this research aims to facilitate better data-driven decision-making and ultimately improve patient outcomes. |
| Keywords: | Graph Database, Healthcare Records Management, Efficiency, Scalability, Data Modeling |
| Cite Article: | "OPTIMIZING HEALTHCARE DATA MANAGEMENT: COMPARATIVE ANALYSIS OF DATA STRUCTURES AND THEIR IMPACT ON PATIENT CARE", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 8, page no.192 - 198, August-2024, Available :http://www.ijrti.org/papers/IJRTI2408028.pdf |
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| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2408028
Registration ID:190244
Published In: Volume 9 Issue 8, August-2024
DOI (Digital Object Identifier):
Page No: 192 - 198 Country: Guntur, andhra pradesh, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2408028 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2408028 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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