| Project/Area Number |
18390162
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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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 | Teikyo University |
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Principal Investigator |
SAWA Tomohiro Teikyo University, International Institute for Education, ASSOCIATE PROFESSOR (50349247)
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| Co-Investigator(Kenkyū-buntansha) |
IRITA Kazuo KYUSYU UNIVERSITY, FACULTY OF MEDICAL SCIENCE, ASSOCIATE PROFESSOR (80168541)
TSUZAKI Koichi KEIO UNIVERISTY, SCHOOL OF MEDICINE, ASSOCIATE PROFESSOR (90138107)
MORITA Kiyoshi OKAYAMA UNIVERSITY, GRADUATE SCHOOL OF MEDICINE, DENTSIEY, AND PHARMACEUTICAL SCIENCE, PROFESSOR (40108171)
NAKATUKA Hideki OKAYAMA UNIVERSITY, HOSPITAL, LECTURER (70263580)
TAKEDA Junzo KEIO UNIVERISTY, SCHOOL OF MEDICINE, PROFESSOR (30101968)
槇田 浩史 東京医科歯科大学, 医歯(薬)学総合研究科, 教授 (20199657)
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| Project Period (FY) |
2006 – 2007
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| Project Status |
Completed (Fiscal Year 2007)
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| Budget Amount *help |
¥13,530,000 (Direct Cost: ¥12,000,000、Indirect Cost: ¥1,530,000)
Fiscal Year 2007: ¥6,630,000 (Direct Cost: ¥5,100,000、Indirect Cost: ¥1,530,000)
Fiscal Year 2006: ¥6,900,000 (Direct Cost: ¥6,900,000)
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| Keywords | PERIOPERATIVE MEDICINE / PATIENT SAFETY / MEDICAL INFORMATICS / DATA BASE |
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| Research Abstract |
This study was aimed at designing and implementing a large-scale perioperative database which contributes to the patient safety and presents an instance of healthcare IT infrastructure and healthcare databases. The study is unique in that the database contains multiple specialty data of the surgical domain and is aiming at being a benchmark of the domain. Appling modern statistical analysis tools and data mining techniques may enable to present evidences, clinical indicators and guidelines.
A large-scale perioperative database was designed and implemented. In design phase, database schemas and application framework were presented. Data mining techniques were applied and showed the possibilities of new analytical approaches.
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