Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/1534
Title: A guideline to use activity theory for collaborative health care information systems design.
metadata.dc.title.book: Handbook of Research on Healthcare Administration and Management
Epworth Authors: Wickramasinghe, Nilmini
Other Authors: Durst, Caroline
Riechert, Jana
Keywords: Collaborative Systems
Collaborative Healthcare Information System
Healthcare Information Systems
Information Technology
IT
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
Issue Date: 2017
Publisher: IGI Global
Abstract: In healthcare, collaborative systems serve very different stakeholders: researchers, clinicians, nurses, patients, and administrators for instance. In order to design a collaborative healthcare information system that satisfies the stakeholders' needs, all individual requirements have to be mapped into the software. Traditional system design focuses at technical features and oftentimes ignores social requirements like human factors or organizational structures. Instead of integrating existing processes and working habits into a system, a technical-focused design approach tries to force new behaviors. As a result, stakeholders could refuse to use collaborative healthcare information systems. In line with Kuutti (1991), we recommend activity theory as a rich framework to study and design collaborative information systems. We believe that activity theory analysis is particularly useful for healthcare settings where diverse stakeholders pursue very different goals. This book chapter offers a structured approach to analyze collaborative activities and to design the IT-support accordingly.
URI: http://hdl.handle.net/11434/1534
DOI: 10.4018/978-1-5225-0920-2.ch037
ISBN: 9781522509202
Type: Chapter
Affiliated Organisations: Health Informatics
University of Bremen, Bremen, Germany
University of Erlangen-Nuremberg, Erlangen and Nuremberg, Bavaria, Germany
Deakin University, Burwood, Victoria, Australia
Appears in Collections:Health Informatics

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