Diagnostic Analysis of Patients with Essential Hypertension Using Association Rule Mining / 대한의료정보학회지

OBJECTIVES: The purpose of this study was to analyze the records of patients diagnosed with essential hypertension using association rule mining (ARM). METHODS: Patients with essential hypertension (ICD code, I10) were extracted from a hospital's data warehouse and a data mart constructed for analysis. Apriori modeling of the ARM method and web node in the Clementine 12.0 program were used to analyze patient data. RESULTS: Patients diagnosed with essential hypertension totaled 5,022 and the diagnostic data extracted from those patients numbered 53,994. As a result of the web node, essential hypertension, non-insulin dependent diabetes mellitus (NIDDM), and cerebral infarction were shown to be associated. Based on the results of ARM, NIDDM (support, 35.15%; confidence, 100%) and cerebral infarction (support, 21.21%; confidence, 100%) were determined to be important diseases associated with essential hypertension. CONCLUSIONS: Essential hypertension was strongly associated with NIDDM and cerebral infarction. This study demonstrated the practicality of ARM in co-morbidity studies using a large clinic database.

Long Term Effects of Hospital Information System on Nurses' Job Pattern and Satisfaction, and Attitudes Toward HIS / 대한의료정보학회지

OBJECTIVE: The purpose of this study was to examine the long-term effects of Hospital Information System(HIS) on nurses' job pattern and satisfaction, and attitudes toward electronic medical record system. METHODS: Prospective survey using repeated measures design was performed to compare the changes between 2 years and 4 years after introduction of HIS in a tertiary hospital. Participants were 374 nurses working in the target hospital. Questionnaire was developed by researchers based on Walker, Eyman, Krall, Prophet, and Flanagan(1996)'s study and consisted of 21 questions about job pattern, job satisfaction, and attitudes toward computerization and paper record system. RESULTS: Overall time for documentation, shift reporting, communication with other departments were reduced. Otherwise, direct nursing time was not increased after HIS. Nurses showed positive responses on changes of job pattern after HIS while job satisfaction has been decreased. In addition, nurses' attitudes toward hospital information system and paper medical record system showed they were accepting computerized information system. CONCLUSION: This study identified the long-term positive effects of HIS and the need for nursing sensitive hospital information system.