Data-Driven Innovation in Modern Laboratories
Harnessing Big Data for Better Outcomes
Bibliographic Data
| ID | 22358390 |
|---|---|
| Authors | Norah Ghazai Almutairi (Riyadh Armed Forces Hospital), Rehab Ghazai Almutairi (Riyadh Armed Forces Hospital), Nourah Farouq Arab (Riyadh Armed Forces Hospital), Rawan Hussain AL-Muhaize (Riyadh Armed Forces Hospital), Afnan Saad Albasri (Riyadh Armed Forces Hospital), Joharah Yahia Alfifi (Riyadh Armed Forces Hospital), Rahif Naif Alanazi (Riyadh Armed Forces Hospital), Asmahan Saeed Mubarak (Armed Forces Hospital), Abdulrahman Nasser Ahmed (Ministry of Health), Mohammed khalid Alyahya (Riyadh Armed Forces Hospital) |
| Year | 2025 |
| Volume | 4 |
| Issue | 2 |
| Publication date | 2025-01-21 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Ecohumanism (JOURNAL) |
| Journal identifiers | ISSN: 2752-6798 • E-ISSN: 2752-6801 |
| Publisher | Creative Publishing House (PUBLISHER • GB) |
| DOI | 10.62754/joe.v4i2.5978 |
| OpenAlex | W4406677109 |
| Language | EN |
| References cited | 2 |
Data-driven innovation has transformed the landscape of modern laboratories, offering unprecedented opportunities to enhance diagnostic accuracy, streamline operations, and accelerate research breakthroughs. By harnessing big data from diverse sources such as advanced laboratory instruments, electronic health records, and genomic sequencing, laboratories can optimize workflows, improve patient outcomes, and support personalized medicine. This article explores the role of technologies like artificial intelligence, machine learning, Internet of Things, and blockchain in leveraging big data for precision diagnostics, operational efficiency, and groundbreaking discoveries. It also examines the challenges laboratories face, including data integration, privacy concerns, and resource constraints, while offering recommendations to navigate these hurdles effectively. Looking ahead, data-driven approaches are poised to redefine the role of laboratories in healthcare and research, paving the way for innovation and better outcomes
Big data · Business · Data mining · Data science · Big Data and Business Intelligence · Computer Science · Genetics, Bioinformatics, and Biomedical Research
| Highly cited | No |
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