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Modelling resource availability in general hospitals.

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Title: Modelling resource availability in general hospitals.
Authors: Kusters, Rob J.1, Groot, Petra M.A.1
Source: European Journal of Operational Research. 2/8/96, Vol. 88 Issue 3, p428-445. 18p. 9 Charts, 1 Graph.
Subjects: Hospital administration, Hospital admission & discharge, Mathematical optimization, Mathematical analysis, Hospitals, Mathematics
Abstract: Admission planning in general hospitals means selecting elective patients from a waiting list in order to obtain optimal utilisation of the available beds, nursing staff and operating theatre facilities while taking into account emergency admissions. Also, a wide variety of other factors, often situational and not explicitly stated, play a part in this decision process. As such, it is a complex problem which is difficult to handle for any decision maker. In this paper a statistical model for the prediction of resource availability is presented. The model is first tested on empirical data. On the basis of the model a DSS was designed which is now in daily use in several hospitals. Problems encountered in that implementation process will be stated. The results obtained with the model show that such an approach based on statistical data provides sufficiently accurate results to be useful. [ABSTRACT FROM AUTHOR]
Copyright of European Journal of Operational Research is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 7927499
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Modelling resource availability in general hospitals.
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Operational+Research%22">European Journal of Operational Research</searchLink>. 2/8/96, Vol. 88 Issue 3, p428-445. 18p. 9 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Hospital+administration%22">Hospital administration</searchLink><br /><searchLink fieldCode="DE" term="%22Hospital+admission+%26+discharge%22">Hospital admission & discharge</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+analysis%22">Mathematical analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Hospitals%22">Hospitals</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics%22">Mathematics</searchLink>
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  Data: Admission planning in general hospitals means selecting elective patients from a waiting list in order to obtain optimal utilisation of the available beds, nursing staff and operating theatre facilities while taking into account emergency admissions. Also, a wide variety of other factors, often situational and not explicitly stated, play a part in this decision process. As such, it is a complex problem which is difficult to handle for any decision maker. In this paper a statistical model for the prediction of resource availability is presented. The model is first tested on empirical data. On the basis of the model a DSS was designed which is now in daily use in several hospitals. Problems encountered in that implementation process will be stated. The results obtained with the model show that such an approach based on statistical data provides sufficiently accurate results to be useful. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of European Journal of Operational Research is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1016/0377-2217(95)00201-4
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 428
    Subjects:
      – SubjectFull: Hospital administration
        Type: general
      – SubjectFull: Hospital admission & discharge
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Mathematical analysis
        Type: general
      – SubjectFull: Hospitals
        Type: general
      – SubjectFull: Mathematics
        Type: general
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      – TitleFull: Modelling resource availability in general hospitals.
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            NameFull: Kusters, Rob J.
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              Text: 2/8/96
              Type: published
              Y: 1996
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              Value: 88
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            – TitleFull: European Journal of Operational Research
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