期刊
BRITISH JOURNAL OF ANAESTHESIA
卷 130, 期 3, 页码 250-250出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.bja.2022.12.021
关键词
brain health; cognitive dysfunction; dementia; electronic health record; machine learning; perioperative neurocognitive disorders
The use of large amounts of uniform electronic data over long periods helps understand and shape the cognitive trajectory of older patients during the perioperative period. Advances in electronic health record, machine learning, and big data analysis will contribute to enhanced studies on perioperative brain health, including the risk of dementia.
The use of large amounts of uniform electronic data over long periods provides a step toward understanding and ultimately shaping the perioperative cognitive trajectory of older patients. With the improvements in the quality, uniformity, and amount of data contained within the electronic health record, along with developments in machine learning and big data analysis, we can look forward to enhanced studies that will help advance clinical practice and scientific understanding of perioperative brain health, including the severe and debilitating risk of dementia.
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