A development research of a clinical indicator about patients' falls by secondary use of electronic medical record system data.
Project/Area Number |
26870134
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Fundamental nursing
Medical and hospital managemen
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Research Institution | The University of Tokyo |
Principal Investigator |
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Project Period (FY) |
2014-04-01 – 2016-03-31
|
Project Status |
Completed (Fiscal Year 2015)
|
Budget Amount *help |
¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
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Keywords | 医療安全 / 患者転倒 / リスクアセスメント / 看護管理 / データ二次利用 / 機械学習 / 看護必要度 / 入院中の転倒 / ビッグデータ |
Outline of Final Research Achievements |
I made a easy-to-use inpatients' fall risk prediction model by using electronic medical record system data. I named this model FiND (Find Fall risk of inpatients From Nursing Data). It can be also useful for predicting number of falls in wards.
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Report
(3 results)
Research Products
(4 results)