Anesthesia decision analysis using a cloud-based big data platform.
Eur J Med Res
; 29(1): 201, 2024 Mar 25.
Article
em En
| MEDLINE
| ID: mdl-38528564
ABSTRACT
Big data technologies have proliferated since the dawn of the cloud-computing era. Traditional data storage, extraction, transformation, and analysis technologies have thus become unsuitable for the large volume, diversity, high processing speed, and low value density of big data in medical strategies, which require the development of novel big data application technologies. In this regard, we investigated the most recent big data platform breakthroughs in anesthesiology and designed an anesthesia decision model based on a cloud system for storing and analyzing massive amounts of data from anesthetic records. The presented Anesthesia Decision Analysis Platform performs distributed computing on medical records via several programming tools, and provides services such as keyword search, data filtering, and basic statistics to reduce inaccurate and subjective judgments by decision-makers. Importantly, it can potentially to improve anesthetic strategy and create individualized anesthesia decisions, lowering the likelihood of perioperative complications.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Anestesia
/
Anestesiologia
/
Anestésicos
Limite:
Humans
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article