ABSTRACT
Objective:To analyze the needs and recommendation of nurses in level3 general hospital for the application scenarios of nursing robots, so as to provide a basis for the design of intelligent machine systems to reduce the workload of nurses in the hospitals.Methods:Using phenomenological research methods, a total of 17 clinical nurses from Nanjing Drum Tower Hospital Affiliated to Medical School of Nanjing University, Zhongda Hospital Southeast University and the First People′s Hospital of Lianyungang from November 2021 to March 2022 were selected for semi-structured interviews. Colaizzi content analysis method was used to sort out the data.Results:Clinical nurses′requirements for application scenarios of nursing robots could be summarized into four themes: feasibility of clinical application of robot recognized by nurses; expected alternative care scenarios; summary of nursing robot design features; multiple factors limit the application of nursing robots.Conclusions:Clinical nurses have diverse requirements for the application scenarios of nursing robots, and only part of non-clinical tasks will be authorized to robots in a short period of time. In the face of future opportunities and challenges, with the help of policies, legal supervision should be strengthened, so as to improve the reliability and safety of clinical application of nursing robots.
ABSTRACT
It is significant to establish scene ECG database which improves the automatic diagnostic function of electrocardiograph under different application scenarios. We built the ECG database in different scene according to the hospital level (grade 3, grade 2, grade 1) and clinical environment (intensive care and acute wards, outpatient clinics and general wards). Sample size was obtained according to the incidence of various ECG diagnoses. The database covers ECG signal, ECG waveform, ECG characteristic values, ECG diagnostic results by experts and clinical information of patients etc. It not only provides important reference for electrocardiograph manufacturers to evaluate and test the parameters of automatic diagnosis under different clinical scene, but also provides valuable scientific research and teaching resources for medical workers.