Nursing Risks Warning Model Based On Electronic Medical Records

In order to improve clinical nursing quality and reduce patient risk events,many hospitals have established nursing risks warning systems.But these nursing risks warning systems almost depend on nurse's subjective assessment.Nurses are always very busy in daily work and patients disease are different in many kinds.What's more,nurses' nursing knowledge are different.Therefore,the nursing assessment about patients health station may be different.With the hospital information technology development,using IT to improve and enhance nursing risks warning can also greatly improve nursing quality.The hospital Electronic Medical Records(EMR)stores a great deal of medical data.With the development of medical big data,many researchers are actively exploring and mining these medical data.To establish patient risk warning system based on EMR means to extract patient clinical data from EMR and then analyze these data in order to improve nursing quality.This process can also improve and perfect the function of the EMR.This paper research the current situation of nursing risks warning based on literature research to obtain medical theory basis and risks warning modeling methods.Consequently form patient nursing risks warning model.This study obtains patient clinical data from EMR,for example systolic pressure,diastolic pressure,heart rate,respiration rate,SpO2,gender and age.After that,we establish our model using Logistic analysis.Then we also collect another data sets to verify the effectiveness of our model.Last,we discuss how to use this model in the EMR and its effect on the EMR.This model can provide reference for software development in the next phase work.