Establishment of the practical data utilization method of hospital information systems, and creation of medical data mining
Project/Area Number |
21590566
|
Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Medical sociology
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Research Institution | Kochi University |
Principal Investigator |
|
Co-Investigator(Kenkyū-buntansha) |
HATAKEYAMA Yutaka 高知大学, 教育研究部・医療学系, 准教授 (00376956)
WATABE Teruaki 高知大学, 教育研究部・医療学系, 講師 (90325415)
NAKAJIMA Noriaki 高知大学, 教育研究部・医療学系, 助教 (00335928)
KATAOKA Hiromi 高知大学, 教育研究部・医療学, 助教 (80398049)
|
Project Period (FY) |
2009 – 2011
|
Project Status |
Completed (Fiscal Year 2011)
|
Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2011: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2009: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
|
Keywords | 医療情報システム / データサイエンス / データマイニング / 病態推移予測 / 予防医学 |
Research Abstract |
Nowadays, a vast amount of data is stored in hospital information systems with daily medical practices. However, utilization of such data is limited to the direct medical care for patients themselves. The indirect usage for medical studies is still not so active. We have shown various examples of the effective data analysis using accumulated medical data in a hospital information system. In particular, Effective calibration method for laboratory test data for long time period, Comprehensive analysis of the diagnostic characteristic pattern for laboratory test data, Diagnostic characteristics for CBC cell distribution data, Prediction by pattern extraction with artificial intelligence from laboratory-test time series data are shown to be useful.
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Report
(4 results)
Research Products
(34 results)