Investigation of Nursing Workload Survey by the Time-motion Study Based on Data of Hospital Information Systems(HIS)

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  • MIYAHIRA(SHINDO) Akiko
    Graduate School of Applied Informatics, University of Hyogo Hyogo Prefectural Amagasaki General Medical Center
  • TADA Kazuko
    Graduate School of Applied Informatics, University of Hyogo Hyogo Prefectural Amagasaki General Medical Center
  • SHIMIZU Takafumi
    Graduate School of Applied Informatics, University of Hyogo
  • TAKEMURA Tadamasa
    Graduate School of Applied Informatics, University of Hyogo

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Other Title
  • 病院情報システム(HIS)データを用いたタイムスタディによる看護業務量調査の検討
  • ビョウイン ジョウホウ システム(HIS)データ オ モチイタ タイムスタディ ニ ヨル カンゴ ギョウムリョウ チョウサ ノ ケントウ

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Abstract

<p>Currently, healthcare workers have been very busy in their hospitals, and it is said that task shifting of healthcare workers will become more important in the near future. We also have discussed that the nursing workload is very heavy and their tasks should be shifted from nurses to other workers. Workload and workflow analyses are required to understand the actual nursing care situation. Therefore, time-motion study, a method of measuring nurses’actions and required time, has been conducted in nursing. However, time-motion study used so far requires the nurse to record his/her own nursing tasks or to record them with an investigator. Therefore, the time-motion study method is very burdensome in the clinical setting. On the other hand, hospital information systems (HISs) have been widely used in the clinical setting, and treatment orders by doctors and nursing orders are registered as medical treatment plans. At the same time, real-time execution input such as patient verification provides information of order execution including accurate execution time, which is accumulated as a medical record, and the data may represent most nursing tasks. In this study, for the purpose of improving nursing work, we tried to investigate the long-term nursing work volume using the order data in the hospital information system as a time-motion study. Specifically, we determined the nursing care time for each order data, and aggregated and analyzed the nursing care time by time of the day. As a result, it was possible to create some graphs showing the workload of specific nursing tasks by ward and to understand the task improvement effect of a ward.</p>

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