Version 1
: Received: 8 March 2024 / Approved: 11 March 2024 / Online: 11 March 2024 (13:02:42 CET)
How to cite:
TANIA CYRIELLE, N.N.; ANDIGEMA, A.; Lethicia Danaëlle, M.K.; Ekwelle, E. Harnessing the Power of Artificial Intelligence for Enhanced Point-of-Care Quality Control in Healthcare. Preprints2024, 2024030608. https://doi.org/10.20944/preprints202403.0608.v1
TANIA CYRIELLE, N.N.; ANDIGEMA, A.; Lethicia Danaëlle, M.K.; Ekwelle, E. Harnessing the Power of Artificial Intelligence for Enhanced Point-of-Care Quality Control in Healthcare. Preprints 2024, 2024030608. https://doi.org/10.20944/preprints202403.0608.v1
TANIA CYRIELLE, N.N.; ANDIGEMA, A.; Lethicia Danaëlle, M.K.; Ekwelle, E. Harnessing the Power of Artificial Intelligence for Enhanced Point-of-Care Quality Control in Healthcare. Preprints2024, 2024030608. https://doi.org/10.20944/preprints202403.0608.v1
APA Style
TANIA CYRIELLE, N.N., ANDIGEMA, A., Lethicia Danaëlle, M.K., & Ekwelle, E. (2024). Harnessing the Power of Artificial Intelligence for Enhanced Point-of-Care Quality Control in Healthcare. Preprints. https://doi.org/10.20944/preprints202403.0608.v1
Chicago/Turabian Style
TANIA CYRIELLE, N.N., MAFO KAMGA Lethicia Danaëlle and EWANE Ekwelle. 2024 "Harnessing the Power of Artificial Intelligence for Enhanced Point-of-Care Quality Control in Healthcare" Preprints. https://doi.org/10.20944/preprints202403.0608.v1
Abstract
Artificial intelligence (AI) is increasingly being used to improve the quality control of point-of-care diagnostics. This is caused by a number of factors, including the following: 1. AI can accelerate and improve testing accuracy. In comparison to humans, AI technology can review data more quickly and precisely, reducing errors and improving overall quality assurance. 2. When it comes to improving POC test findings on healthcare issues such as infectious diseases or medical crises such as heart attacks, AI can be used for sophisticated predictive analytics and modeling that aid in better decision-making. 3. Artificial intelligence facilitates process automation, increasing productivity and lowering labor costs in labor-intensive tasks such as testing and analyzing samples collected at point-of-care facilities. 4. The use of AI enables organizations implementing these solutions to gain insights from large volumes of raw diagnostic data generated faster and more accurately, allowing them to build solid frameworks around preventive care initiatives and significantly influence public health outcomes.5. Artificial intelligence (AI) has been demonstrated to be a useful tool for real-time monitoring systems that identify any problems with test results early so that they can be corrected before affected patients receive inaccurate diagnoses or treatment plans based on false information provided by diagnostic tests performed at points of care such as clinics or hospitals.Using these technologies would allow healthcare organizations to spend less on labor while still receiving exact diagnoses and rapid treatment delivery at a fraction of the cost that manual approaches required earlier.
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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