1.Design and application of new version nursing assessment sheet
Hui CHEN ; Maocai LIU ; Guizhen LIU ; Chuanli PAN
Modern Clinical Nursing 2014;(1):56-59
Objective To explore the effect of nursing assessment sheet(new version)in clinical nursing.Methods The nursing assessment sheet(new version)was designed and applied in clinic nursing practice.The new version and the old one were compared in terms of the incidence of nursing accidents,pressure sores,falling out of bed and lying in the bed and the time for nursing assessment between old and new-edited nursing assessment sheet.Result The incidence of pressure sores and the time for assessment by the new one were significantly lower than those before application the old one(all P<0.05).Conclusion The nursing assessment sheet(new version)is better in decreasing the incidence of pressure sores and thus increase the nursing efficiency.
2.Research and application of Surface-enhanced Raman scattering technique in biomedical detection
Xiaojing YIN ; Chuanli REN ; Chongxu HAN ; Pan YANG ; Lin ZHOU ; Weiling FU ; Yang ZHANG
Chinese Journal of Laboratory Medicine 2024;47(3):314-322
The application of Raman spectroscopy in the field of laboratory medicine is making continuous progress and development. The biosensor platform based on Raman spectroscopy provides a new means for accurate molecular diagnosis of diseases. In particular, as a fast and non-destructive detection method, surface-enhanced Raman scattering has the advantages of simple sample preparation, little interference from water and real-time detection, and shows great application potential in the field of medical examination. At the same time, with the integration of SERS and other technologies, including electrochemistry, new nano-materials, microfluidic, biochip, DNA nano-machine, artificial intelligence and machine learning, it will play a more and more important role in the field of medical laboratory. With the deepening of SERS research and the cross-integration between multiple disciplines, it will be widely used in biomedical detection and is expected to become an important technology platform for the next generation of precision diagnosis.