Transformative Convergence: Exploring the Nexus of Engineering, Science and Technology in Intensive Care
Article Sidebar
Main Article Content
Abstract
In the last decade, convergence science has been described as the solution to problems by integrating biological sciences with the physical, mathematical and computational sciences. This concurrence opens the pitch to strengthen multidisciplinary, transdisciplinary and interdisciplinary work. This short review delves into the transformative integration of engineering, science and technology in the dynamic realm of intensive care. Unveiling recent advancements, the exploration spans the multifaceted contributions of these disciplines toward elevating patient care and optimizing healthcare systems.
Article Details
Copyright (c) 2024 Rojas-Díaz EL.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The Archives of Case Reports is committed in making it easier for people to share and build upon the work of others while maintaining consistency with the rules of copyright. In order to use the Open Access paradigm to the maximum extent in true terms as free of charge online access along with usage right, we grant usage rights through the use of specific Creative Commons license.
License: Copyright © 2017 - 2025 | 
Open Access by Archives of Case Reports is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at Heighten Science Publications Inc.
With this license, the authors are allowed that after publishing with the journal, they can share their research by posting a free draft copy of their article to any repository or website.
Compliance 'CC BY' license helps in:
| Permission to read and download | ✓ |
| Permission to display in a repository | ✓ |
| Permission to translate | ✓ |
| Commercial uses of manuscript | ✓ |
'CC' stands for Creative Commons license. 'BY' symbolizes that users have provided attribution to the creator that the published manuscripts can be used or shared. This license allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author.
Please take in notification that Creative Commons user licenses are non-revocable. We recommend authors to check if their funding body requires a specific license.
Pinsky MR, Dubrawski A. Gleaning knowledge from data in the intensive care unit. Am J Respir Crit Care Med. 2014 Sep 15;190(6):606-10. doi: 10.1164/rccm.201404-0716CP. PMID: 25068389; PMCID: PMC4214111.
Agniel D, Kohane IS, Weber GM. Biases in electronic health record data due to processes within the healthcare system: retrospective observational study. BMJ. 2018 Apr 30;361:k1479. doi: 10.1136/bmj.k1479. Erratum in: BMJ. 2018 Oct 18;363:k4416. PMID: 29712648; PMCID: PMC5925441.
Hu X. An algorithm strategy for precise patient monitoring in a connected healthcare enterprise. NPJ Digit Med. 2019 Apr 30;2:30. doi: 10.1038/s41746-019-0107-z. PMID: 31304377; PMCID: PMC6550269.
Maslove DM, Lamontagne F, Marshall JC, Heyland DK. A path to precision in the ICU. Crit Care. 2017 Apr 3;21(1):79. doi: 10.1186/s13054-017-1653-x. PMID: 28366166; PMCID: PMC5376689.
Escobar GJ, Liu VX, Schuler A, Lawson B, Greene JD, Kipnis P. Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration. N Engl J Med. 2020 Nov 12;383(20):1951-1960. doi: 10.1056/NEJMsa2001090. PMID: 33176085; PMCID: PMC7787261.
Pinsky MR, Dubrawski A, Clermont G. Intelligent Clinical Decision Support. Sensors (Basel). 2022 Feb 12;22(4):1408. doi: 10.3390/s22041408. PMID: 35214310; PMCID: PMC8963066.
Yoon JH, Jeanselme V, Dubrawski A, Hravnak M, Pinsky MR, Clermont G. Prediction of hypotension events with physiologic vital sign signatures in the intensive care unit. Crit Care. 2020 Nov 25;24(1):661. doi: 10.1186/s13054-020-03379-3. PMID: 33234161; PMCID: PMC7687996.
Datta R, Singh S. Artificial intelligence in critical care: Its about time! Med J Armed Forces India. 2021 Jul;77(3):266-275. doi: 10.1016/j.mjafi.2020.10.005. Epub 2021 Mar 18. PMID: 34305278; PMCID: PMC8282528.
Teng R, Ding Y, See KC. Use of Robots in Critical Care: Systematic Review. J Med Internet Res. 2022 May 16;24(5):e33380. doi: 10.2196/33380. PMID: 35576567; PMCID: PMC9152725.
Chbat N, Sacristan E, Laine A. Health-care technology: Industrial and clinical applications. IEEE Eng Med Biol Mag. 2010 Mar-Apr;29(2):17. doi: 10.1109/memb.2009.935703. Corrected and republished in: IEEE Eng Med Biol Mag. 2010 May-Jun;29(3):85. PMID: 21714180.