Literature DB >> 12578065

Computerisation and decision making in neonatal intensive care: a cognitive engineering investigation.

E Alberdi1, K Gilhooly, J Hunter, R Logie, A Lyon, N McIntosh, J Reiss.   

Abstract

This paper reports results from a cognitive engineering study that looked at the role of computerised monitoring in neonatal intensive care. A range of methodologies was used: interviews with neonatal staff, ward observations, and experimental techniques. The purpose was to investigate the sources of information used by clinicians when making decisions in the neonatal ICU. It was found that, although it was welcomed by staff, computerised monitoring played a secondary role in the clinicians' decision making (especially for junior and nursing staff) and that staff used the computer less often than indicated by self-reports. Factors that seemed to affect staff use of the computer were the lack (or shortage) of training on the system, the specific clinical conditions involved, and the availability of alternative sources of information. These findings have relevant repercussions for the design of computerised decision support in intensive care and suggest ways in which computerised monitoring can be enhanced, namely: by systematic staff training, by making available online certain types of clinical information, by adapting the user interface, and by developing intelligent algorithms.

Mesh:

Year:  2000        PMID: 12578065     DOI: 10.1023/a:1009954623304

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  8 in total

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  8 in total
  3 in total

1.  A comparison of graphical and textual presentations of time series data to support medical decision making in the neonatal intensive care unit.

Authors:  Anna S Law; Yvonne Freer; Jim Hunter; Robert H Logie; Neil McIntosh; John Quinn
Journal:  J Clin Monit Comput       Date:  2005-06       Impact factor: 2.502

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Authors:  Yvonne Freer; Lindsey Ferguson; Gary Ewing; Jim Hunter; Robert Logie; Sue Rudkin; Neil McIntosh
Journal:  J Clin Monit Comput       Date:  2002-12       Impact factor: 2.502

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Journal:  ANS Adv Nurs Sci       Date:  2009 Jul-Sep       Impact factor: 1.824

  3 in total

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