| Project/Area Number |
11470500
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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 | Osaka University |
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Principal Investigator |
OHNO Yuko Osaka University, Medicine, Professor, 医学部, 教授 (60183026)
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| Co-Investigator(Kenkyū-buntansha) |
TAKAHASHI Takashi Kyoto University, Medicine, Professor, 大学院・医学系研究科, 教授 (40055992)
TAKEDA Hiroshi Osaka University, Medicine, Professor, 大学院・医学系研究科, 教授 (20127252)
INAMURA Kiyonari Osaka University, Medicine, Professor, 医学部, 教授 (90203207)
MONDEN Morito Osaka University, Medicine, Professor, 大学院・医学系研究科, 教授 (00127309)
INOUE Toshihiko Osaka University, Medicine, Professor, 大学院・医学系研究科, 教授 (70028512)
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| Project Period (FY) |
1999 – 2001
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| Keywords | Optimal Job Allocation / Time-and-Motion Study / Job Analysis Database / Efficient Management of University Hospital / Path Analysis / Optimal stuff allocation / Taxonomy of Stuff Job in Hospital / Time Estimation of Care-Offering |
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| Research Abstract |
In order investigate on the streamlining of a university hospital management, following studies have been carried out during the year 1999-2002 with the examination of clinical time study at the surgical ward in Osaka University Hospital ; (1) the evaluation of the medical demand and supply balance, (2) the development of adequate index and model for the patient's medical demand, (3) the contrivance of effective measure and formulation for appropriate supply, (4) the improvement of data precision of the time study in the clinical ward, (5) the development.of intelligent time study database for classification of nursirig and medical job.
A formulation of medical demand and supply balance was presented as a conceptual model including observed factors and amounts of supply and expected (ideal) demands of a patient. The indexes representing the patient's demand were classified into two types of the patient's information, one was the patient's origin status data and the other was the doctor's prescription origin (for treatment or clinical laboratory test) patient's status data. The medical care supply incorporated as a total time offered by medical stuffs to the patient was well estimated by regression analysis and multi-level analysis using above two types of datasets )r>0.91).
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