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Investigating the efficacy of an intelligent operation planning and support tool for acute healthcare contexts

Wickramasinghe, Nilmini, Kent, Bridie, Moghimi, Fatemeh Hoda, Nguyen, Lemai, Redley, Bernice, Taylor, Nyree, Muhammed, Imran and Botti, Mari 2013, Investigating the efficacy of an intelligent operation planning and support tool for acute healthcare contexts, in Stud Health Technol Inform, unknown,, pp. 927-927.

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Title Investigating the efficacy of an intelligent operation planning and support tool for acute healthcare contexts
Author(s) Wickramasinghe, Nilmini
Kent, Bridie
Moghimi, Fatemeh Hoda
Nguyen, LemaiORCID iD for Nguyen, Lemai orcid.org/0000-0003-3695-7245
Redley, BerniceORCID iD for Redley, Bernice orcid.org/0000-0002-2376-3989
Taylor, Nyree
Muhammed, Imran
Botti, MariORCID iD for Botti, Mari orcid.org/0000-0002-2782-0987
Conference name Medinfo 2013
Conference location Copenhagen, Denmark
Conference dates 20-23 Aug. 2013
Title of proceedings Stud Health Technol Inform
Publication date 2013
Start page 927
End page 927
Total pages 1
Publisher unknown
Keyword(s) Acute care
Clinical Informatics
Operational planning
Patient safety
Quality care
Summary Nurses are the largest group of healthcare professionals in hospitals providing 24-hour care to patients. Hence, nurses are pivotal in coordinating and communicating patient care information in the complex network of healthcare professionals, services and other care processes. Yet, despite nurses' central role in health care delivery, intelligent systems have historically rarely been designed around nurses' operational needs. This could explain the poor integration of technologies into nursing work processes and consequent rejection by nursing professionals. The complex nature of acute care delivery in hospitals and the frequently interrupted patterns of nursing work suggest that nurses require flexible intelligent systems that can support and adapt to their variable workflow patterns. This study is designed to explore nurses' initial reactions to a new intelligent operational planning and support tool (IOPST) for acute healthcare. The following reports on the first stage of a longitudinal project to use an innovative approach involving nurses in the development of the IOPST; from conceptualization to implementation.
ISSN 0926-9630
Language eng
Field of Research 080608 Information Systems Development Methodologies
111003 Clinical Nursing: Secondary (Acute Care)
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category EN.1 Other conference paper
Copyright notice ©2013, unknown
Persistent URL http://hdl.handle.net/10536/DRO/DU:30072466

Document type: Conference Paper
Collection: Department of Information Systems and Business Analytics
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