Intelligent robots replace manual guidance
Guided robot
Dispensing robot
Drug delivery robot
The use of intelligent robots in Shenzhen hospitals has been further deepened. From this week, in the outpatient hall of Peking University Shenzhen Hospital, the artificial consultation was completely cancelled, instead it was replaced by three sprouting robots. Although the current development of artificial intelligence needs to be improved, its application in hospitals has been widely favored.
In the interview, the reporter learned that compared with these intuitive intelligent devices, the construction of the background of smart hospitals is getting deeper and deeper. More and more hospitals in Shenzhen are arranging the layout of medical big data , which will further promote intelligent robots. More in-depth application in the hospital.
Meng robot is replaced by manual guidance
“What is the description of the headache? Is there a nasal congestion? Is it vomiting? It is recommended that you go to the hospital for respiratory medicine or otolaryngology for systemic treatment.” The three guided robots appearing at Peking University Shenzhen Hospital are in the middle of the crowded clinic. Very eye-catching.
These little guys can accept patients' business counseling and disease counseling, and can also guide. After the three robots were tried in the outpatient hall for more than a month, starting from this week, Peking University Shenzhen Hospital began to try to completely replace the four doctors who had been arranged before. In fact, the guide robot has been used in hospitals for several years, but it is rare to completely replace the manual guide.
Peking University Shenzhen Hospital currently has an average daily outpatient volume of about 10,000. The previous four human medical guides were basically in a state of continuous rotation. Li Fanling, deputy director of nursing at the outpatient department of the hospital, said, "The removal of manual guidance and the use of three robots are not bad enough to meet the needs of the public."
However, the current skills of robots are still "upgraded". The reporter saw at the scene that the guiding robot was sometimes responsive and sometimes inefficient. According to reports, its operation requires higher speed, so it needs to be debugged accordingly. In addition, although the disease guidance service is currently available, it is not possible to carry out specific doctor introductions and appointment registration.
Intravenous dosing robot completes dozens of processes
As a model hospital for intelligent nursing in Guangdong Province, Peking University Shenzhen Hospital and technology companies have joined forces to take the lead in Shenzhen in intelligent nursing. The reporter learned that the most popular, popular with nurses and patients is the automatic infusion monitoring system. The system was first used in the spine surgery of the hospital. It consists of the clinical mobile care terminal NDA, the intelligent infusion monitor, and the Bluetooth Internet of Things Center. It realizes the whole process monitoring and information traceability from the doctor's order, the infusion, the dispensing, and the execution. The reporter saw in the inpatient ward of the department yesterday that the infusion bags were hung on a device similar to the clothes hook. This is the liquid residual sensor, which can automatically monitor the remaining amount of the patient's infusion and remind the nursing staff in advance.
"The dose is less than five milliliters will automatically alarm, which allows us to know when to take the needle, the work is more planned." Spine surgery nurse Huang Heliang pointed to the PDA equipment in his hand told reporters. This also increases the freedom of family members to accompany, do not need to focus on the infusion bag at the bedside, worrying about returning blood. He said the equipment pulled the nurse out of mechanical repetitive work.
In addition, these intelligent facilities also enhance the safety of medical care . In the past, the intravenous infusion drugs required by patients relied on the manual configuration of nursing staff, which not only prone to human error and pollution, but also pose a potential threat to patient safety, and high-risk drugs such as chemotherapy drugs may also have an impact on the health of operators. The intravenous dosing robot currently used in the hospital can dexterously and accurately complete dozens of dosing procedures such as disinfection, bottle opening, tank liquid, suction, resterilization, infusion, etc., and the robot will also produce after dosing. Automatic classification of medical waste, effectively avoiding the risk of sharpness.
How to use the intelligent system of information to make medication safer is also deepening. Yesterday, the reporter learned from Peking University Shenzhen Hospital that the hospital is currently setting up a rational pre-trial system for rational use of drugs in Shenzhen to supervise doctors to use drugs rationally. “In the past, patients were paid for drugs and then reviewed. There was a time difference.” Liu Chaoran, a pharmacist at the hospital, told reporters that the current audit system will be reviewed when the doctor prescribes: “If the system shows that the drug instructions are inconsistent with the doctor’s orders, The doctor's prescription will be blocked by a pop-up window, and the doctor needs to explain it."
For example, he said, for example, the vomiting medicine used in oncology is generally used for five days. If it is used on the sixth day, the system will remind the doctor whether to forget to stop or continue to increase the amount.
a drop of blood into the database
Whether it is a guided robot or an automatic infusion monitoring system, the longer these smart devices operate, the wider the application's departments, and the more they contribute to the integration of big data. Sun Yongmei, deputy director of the Department of Spinal Surgery at Peking University Shenzhen Hospital, said that they are currently designing some research projects for data mining and utilization through the automatic infusion monitoring system, as a basis for improvement work, allowing patients to recover faster.
Due to the wide application prospects in personal health, medical applications, medical research and public health, hospitals in Shenzhen are currently laying out medical data big data. The reporter learned that Nanshan District People's Hospital uses big data technology and Tencent to cooperate in medical imaging and medical diagnosis to explore the application of AI medical imaging, and achieve accurate screening rate of early esophageal cancer up to 90%. Effectively assist doctors to detect signs of cancer.
The Shenzhen Second Hospital also signed an agreement with Tencent in early February to jointly build a “Smart Hospital” medical service cloud platform and a “Medical AI Joint Lab”. Through the cloud platform, Shenzhen Second Hospital can obtain the data of patients after leaving the hospital in real time, and realize the follow-up management of mobile and remote, which helps to predict and predict the risk of disease recurrence.
On March 6, the Seventh Affiliated Hospital of Sun Yat-sen University signed a cooperation agreement with the Shanghai Institute of Life Sciences of the Chinese Academy of Sciences, and opened the Center for Clinical Data Research in Shenzhen. When talking about its significance, He Yulong, dean of the Seventh Hospital of Zhongshan, said that the construction of the clinical big data center will provide a comprehensive unified follow-up platform, so that medical staff can easily screen cases and view all medical records to form a set. A disease-centered clinical research data support system.
"In the future, after patients enter the hospital, even if they are pumped a drop of blood or a sputum, they will be entered into the database center. These materials will become the basic information for medical staff to study diseases, thus providing a more accurate basis for the development of accurate medical solutions." He Yulong said that this will help to effectively monitor and predict the patient's health, gain time for disease treatment, help improve the accuracy of treatment options, and even save patients a large amount of treatment costs.
Source: Dayang Net-Guangzhou Daily
