Sökning: onr:"swepub:oai:DiVA.org:liu-23117" >
Design requirements...
Design requirements for ubiquitous computing environments for healthcare professionals
-
- Bång, Magnus, 1967- (författare)
- Linköpings universitet,Institutionen för datavetenskap,Tekniska högskolan
-
- Larsson, Anders, 1976- (författare)
- Linköpings universitet,Institutionen för datavetenskap,Tekniska högskolan
-
- Eriksson, Henrik, 1963- (författare)
- Linköpings universitet,Institutionen för datavetenskap,Tekniska högskolan
-
(creator_code:org_t)
- San Francisco : AMIA, 2004
- 2004
- Engelska.
-
Ingår i: Studies in Health Technology and Informatics, Volume 107: MEDINFO 2004. - San Francisco : AMIA. - 9781586034443 ; , s. 1416-1420
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.3...
-
visa färre...
Abstract
Ämnesord
Stäng
- Ubiquitous computing environments can support clinical administrative routines in new ways. The aim of such computing approaches is to enhance routine physical work, thus it is important to identify specific design requirements. We studied healthcare professionals in an emergency room and developed the computer-augmented environment NOSTOS to support teamwork in that setting. NOSTOS uses digital pens and paper-based media as the primary input interface for data capture and as a means of controlling the system. NOSTOS also includes a digital desk, walk-up displays, and sensor technology that allow the system to track documents and activities in the workplace. We propose a set of requirements and discuss the value of tangible user interfaces for healthcare personnel. Our results suggest that the key requirements are flexibility in terms of system usage and seamless integration between digital and physical components. We also discuss how ubiquitous computing approaches like NOSTOS can be beneficial in the medical workplace.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Computer science
- Datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
Hitta via bibliotek
Till lärosätets databas