Publications by authors named "Shenmin Wan"

Purpose: Individualized anticoagulation therapy is a major challenge for patients after heart valve replacement. Mobile applications assisted by Artificial intelligence (AI) have great potential to meet the individual needs of patients. The study aimed to develop an AI technology-assisted mobile application (app) for anticoagulation management, understand patients' acceptance of such applications, and determine its feasibility.

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A left ventricular assist device is a mechanical device that is surgically implanted in the heart to partially or completely replace the function of the heart. Left ventricular assist devices are of vital importance in the treatment of patients with heart failure. There are different recommendations for the postoperative care of patients undergoing left ventricular assist device implantation in different countries, and no uniform standard has been developed.

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Background: The rapid response teams (RRTs) are early intervention Teams made up of physicians, nurses, and/or other designated personnel that conduct early assessment and intervention of patients with changing conditions outside the intensive care unit (ICU) in order to reduce ICU admissions and prevent further deterioration or promote early admission to the ICU in critically ill patients. Numerous studies have shown that RRT can effectively reduce the incidence of cardiac arrest and accidental death in patients. Nurses are the most indispensable members of multidisciplinary teams (MDT), and their ability is closely related to the success rate of RRT.

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