The safety of patients is of paramount importance in the healthcare industry. As such, it is essential to explore ways to improve patient safety and reduce the risk of adverse events. One way to do this is through the use of artificial intelligence (AI). AI can be used in a variety of healthcare settings to address a range of patient safety objectives.
This scoping review evaluated the potential of AI to improve patient safety in eight areas, including adverse drug events, decompensation, and diagnostic errors. Data sources such as wearables can be used to develop models and interventions that improve patient safety. AI can be used to detect any reactions early on and evaluate their causality. This is an important activity in the pharmaceutical industry, as it requires understanding medical and clinical vocabulary, having medical knowledge, and being able to derive relationships and correlations. All of these tasks require human cognitive abilities. In the modern health service delivery system, AI can help anaesthesia professionals address the five objectives of the Fivefold Objective.
This could result in an improvement in the safety and quality of care in the perioperative continuum. AI can also be used with clinical decision support systems found in modern anesthetic care. For example, an anesthesia information management system can provide electronic reminders about the dosage of perioperative antibiotics, the use of postoperative prophylaxis for nausea and vomiting in high-risk patients, and help control blood glucose. The exponential growth of data and the power of computers has led to the application of AI tools to the perioperative environment. Intelligent modules are flexibly coupled and are designed for microservice architecture and can be hosted in the cloud, on-premises or in hybrid forms. Digital clones of medical and pharmaceutical professionals, digital photovoltaic case processors with AI, can solve these problems and scale operations.
Anesthesiology as a specialty has a long history of innovation in technological development linked to improvements in patient safety. This will require the partnership and collaboration of a diverse team within health care, including the ability of anesthesia professionals to communicate effectively with data scientists, computer scientists, data analysts and experts in artificial intelligence.