2011 Fiscal Year Final Research Report
Quality Evaluation of Inpatient Patient Care Using the Text Mining Methods
| Project/Area Number |
22790574
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Public health/Health science
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| Research Institution | Tokyo Health Care University |
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Principal Investigator |
SETO Ryoma 東京医療保健大学, 医療保健学部, 講師 (20554041)
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| Project Period (FY) |
2010 – 2011
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| Keywords | 医療の質 / 病棟業務支援システム / 看護情報学、医療情報学 / テキストマイニング / データマイニング / ベンチマーキング |
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| Research Abstract |
This study aimed to develop and evaluate methods to easily obtain Quality Indicator(QI) in inpatient patient care from an Inpatients Care Support System(ICSS) database. As the result of our trial on the extraction of QI from ISSS, data mining methods are mainly required to obtain QI in patient safety. Several parameters of inpatient care, such as daily activity care and consultations, require text mining. This study showed that ICSS are an effective source from which QI can be obtained for use of secondary data.
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