Using Hospital Information System Data to Estimate Nursing Care Needs.

This paper proposes visualization and simulation methods which estimates clinical indices from the data stored in the hospital information system (HIS). The method is executed as follows. First, we construct DWH where needed variables are extracted from HIS. Second, the indices (nursing needs: Score A, which consists of the histories of monitoring and procedures and Score B, which evaluates of patient’s physical condition) are calculated from extracted data. Third, chronological changes of the indices are visualized. Finally, by using the model of stochastic differential equations, the nursing care needs and its chronological changes during the admission period are estimated. We evaluated the method with the data in HIS (from 2017 to 2022). The results shows that the method correctly simulated the chronological change of nursing care needs.