Article | Proceedings from The 16th Scandinavian Conference on Health Informatics 2018, Aalborg, Denmark August 28–29, 2018 | 1.     Predicting Preventable Hospitalizations among Elderly Recipients of Home Care: a Study Protocol Link�ping University Electronic Press Conference Proceedings
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Title:
1.     Predicting Preventable Hospitalizations among Elderly Recipients of Home Care: a Study Protocol
Author:
Mads Stausholm: Department of Health Science and Technology, Aalborg University, Aalborg, Denmark Pernille Secher: Department of Health Science and Technology, Aalborg University, Aalborg, Denmark Simon Cichosz: Department of Health Science and Technology, Aalborg University, Aalborg, Denmark Ole Hejlesen: Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
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Full text (pdf)
Year:
2018
Conference:
Proceedings from The 16th Scandinavian Conference on Health Informatics 2018, Aalborg, Denmark August 28–29, 2018
Issue:
151
Article no.:
013
Pages:
75-79
No. of pages:
5
Publication type:
Abstract and Fulltext
Published:
2018-08-24
ISBN:
978-91-7685-213-2
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Ageing population and traditional consequences of ageing is expected to cause an increased number of recipients of community care services and socio-economic burden. To accommodate these changes, The Danish Health Authority has recommended several tools to help community personnel detect early signs of disease in the home care setting. These tools are used solely for detecting current deviations from the habitual health status, and no data analysis is performed in order to predict upcoming deviations. This paper describes a study protocol to investigate the potential of developing a data driven decision support model to predict unplanned, preventable hospitalizations. Machine learning techniques, such as logistic regression, will be applied on data from three various sources in order to predict which recipients of home care services are at risk of an unplanned, preventable hospitalization. If successful, the proposed model may facilitate earlier prediction and actions towards deviations from the individual citizen’s habitual health status and thereby increase the chance of prevention of hospitalization and functional decline.

Keywords: Health Services for the Aged, Decision Support Techniques, Forecasting, Hospitalization.

Proceedings from The 16th Scandinavian Conference on Health Informatics 2018, Aalborg, Denmark August 28–29, 2018

Author:
Mads Stausholm, Pernille Secher, Simon Cichosz, Ole Hejlesen
Title:
1.     Predicting Preventable Hospitalizations among Elderly Recipients of Home Care: a Study Protocol
References:

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Proceedings from The 16th Scandinavian Conference on Health Informatics 2018, Aalborg, Denmark August 28–29, 2018

Author:
Mads Stausholm, Pernille Secher, Simon Cichosz, Ole Hejlesen
Title:
1.     Predicting Preventable Hospitalizations among Elderly Recipients of Home Care: a Study Protocol
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