Machine-assisted in hospitals refers to the process by which medical equipment and technology assists doctors in the diagnosis and treatment of diseases. The use of these devices and technologies can reduce the time doctors spend on a large number of cases and increase the accuracy with which medicine can correctly recognize diseases. Many devices and technologies can help doctors recognize lesions and early signs of disease so that more effective treatment can be provided. These technologies include imaging techniques, monitoring devices and bioengineering, among others.
Machine assistance can also provide hospitals with a higher level of care, such as the use of surgical robots during surgery. This technology can be accurately performed and accessed by the surgeon, reducing bleeding and complications for the patient during the procedure, while increasing the success rate of the surgery. In addition, computer technology and big data analytics can help hospitals identify and track a large number of cases, thereby improving their diagnosis and treatment of diseases.
Machine assistance can also reduce some of the cost of healthcare and ease pressure on hospitals by improving medical efficiency. For example, doctors in hospitals can use computer software to guide patients in personalized self-management to reduce financial expenses and ease administrative burdens on healthcare organizations. Smart medical devices and remote monitoring systems can also be utilized to help hospitals keep an eye on patients' vital signs remotely, eliminating the need for much of the crowded turnover in hospitals. Machine-assisted provides a new way out for hospitals, greatly improving the efficiency and quality of hospital disease diagnosis and treatment.