Search Tag: clinical deterioration
2024 14 Jun
Deploying and evaluating a machine learning intervention to improve clinical care and patient outcomes is a key step in moving clinical deterioration models from byte to bedside. A Mount Sinai study found that hospitalised patients were 43% more likely to have their care escalated and significantly less likely to die if their care team received...Read more
2023 13 Oct
Big data, Artificial Intelligence (AI) and machine learning are buzzwords. In this article, we briefly discuss what they mean for anaesthesiologists and intensivists, focusing on existing clinical applications. We are today able to collect and store a considerable amount of patient-related data. These “big” data are typically part...Read more
2020 24 Nov
Post-ICU patients are at high-risk of clinical deterioration. Continuous and mobile monitoring on hospital wards is useful to detect clinical deterioration at an early stage. It may help to prevent serious adverse events and ICU readmission. M ost patients discharged from ICUs are old and have co-morbidities. Even when they are young...Read more