A Study for Development of a Medication Alert System using Past Prescription Data stored in an EHR System.
| Project/Area Number |
20590504
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Medical sociology
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| Research Institution | The University of Tokyo |
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Principal Investigator |
MIYO Kengo The University of Tokyo, 医学部附属病院, 講師 (40302690)
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2010: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2009: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2008: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | 医療安全 / 処方オーダシステム / 意思決定支援システム / 医療情報システム / 電子カルテ / 病院情報システム |
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| Research Abstract |
The purpose of this study is to develop an alert system using past prescription data already stored in an EHR system. In this study I developed the prototype system and produced the system design for practical medical use. The alert system works when it finds huge difference between dose of physicians' prescriptions and the standard one statistically calculated from large number of past prescription data. I think this system would be especially useful for residents who don't have enough experience. In addition, I expect it will reduce a lot of meaningless alerts.
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Report
(4 results)
Research Products
(2 results)
