Application and prospect of big data during perioperative period

Abstract

At present, medical treatment has entered an era of big data, and more and more medical big data sets have been used to generate algorithm models to guide the quality improvement of medical care. Tens of millions of operations are carried out in China every year, and the obtained perioperative big data are expected to significantly optimize perioperative management and reduce complications after governance mining and algorithm application. Perioperative big data are a massive data set generated during the perioperative diagnosis and treatment of patients. Combined with big data governance technology and machine learning algorithm, it can be applied to preoperative assessment, adverse event prediction, depth evaluation of anesthesia, automatic drug delivery system, decision support system and ultrasonic image processing, so as to significantly improve the perioperative safety of surgical patients and reduce medical expenses, and thus improve the health level of the people and reduce the burden of national health economy.

Keywords

• perioperative medicine
• big data
• machine learning
• artificial intelligence