Secondary use of hospital information system data for safe bedside radiography in terms of patient factors

Objective: The purpose of this study was to use patient data gathered by a hospital information system (HIS) to improve the safe performance of bedside radiography. Method: Hierarchical cluster analysis was used to investigate the factors of hospitalised patients who had undergone radiography in the X-ray room or at the bedside. Logistic regression analysis was then performed to quantify patient factors and calculate the probability of undergoing general radiography or bedside radiography. Results: Patients were grouped into six clusters by hierarchical cluster analysis on the basis of their factors. We found a remarkable difference between clusters for the ratio of bedside radiography. Results indicated that “types of transportation” and “level of mobility” related to the ratio of bedside radiography. Logistic regression analysis of the associations between the probability of undergoing bedside radiography and patient factors indicated that type of transportation and level of mobility were highly correlated with bedside radiography or general radiography. Conclusion: Our results suggested that the secondary use of HIS data for the quantitative evaluation of patient factors and implementation of those quantitative values in medical records may be useful for the safe performance of bedside radiography as well as providing a method of decision support for doctors to order bedside radiography.