Literature DB >> 12810125

Interaction design theory.

Enrico Coiera1.   

Abstract

OBJECTIVE: This paper presents a framework for the design of interactions between human and computational agents working in organisations, mediation by technological systems.
DESIGN: The design of interactions within an organisation is viewed from the point of view, not of the technology mediating the new interaction, but of the human and computational agents who interact with each other.
RESULTS: Understanding the limits to individual agent resources permits an analysis of the impact that a new interaction will have in a given setting. When we look beyond simple interaction settings, we can use the notion of interaction equilibria to predict the impact of new information and communication technologies within an organisation. Economic supply and demand curves, for example, may allow us to make both qualitative and quantitative predictions about technological adoption of communication systems.
CONCLUSION: Rather than focusing solely on characteristics of individual technologies, or psychological and social issues, these can be combined to explain the overall decisions that individuals make when using technologies. Without necessarily understanding all the local decision criteria used by any individual, we can make robust predictions about how a group as a whole will interact.

Entities:  

Mesh:

Year:  2003        PMID: 12810125     DOI: 10.1016/s1386-5056(02)00106-5

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  10 in total

Review 1.  Four rules for the reinvention of health care.

Authors:  Enrico Coiera
Journal:  BMJ       Date:  2004-05-15

2.  Generating Clinical Notes for Electronic Health Record Systems.

Authors:  S Trent Rosenbloom; William W Stead; Joshua C Denny; Dario Giuse; Nancy M Lorenzi; Steven H Brown; Kevin B Johnson
Journal:  Appl Clin Inform       Date:  2010-01-01       Impact factor: 2.342

3.  A Connectivity Framework for Social Information Systems Design in Healthcare.

Authors:  Craig E Kuziemsky; Pavel Andreev; Morad Benyoucef; Tracey O'Sullivan; Syam Jamaly
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

4.  A near miss: the importance of context in a public health informatics project in a New Zealand case study.

Authors:  Stewart Wells; Chris Bullen
Journal:  J Am Med Inform Assoc       Date:  2008-06-25       Impact factor: 4.497

5.  Recommendations for the design, implementation and evaluation of social support in online communities, networks, and groups.

Authors:  Jacob B Weiss; Eta S Berner; Kevin B Johnson; Dario A Giuse; Barbara A Murphy; Nancy M Lorenzi
Journal:  J Biomed Inform       Date:  2013-04-11       Impact factor: 6.317

6.  The nature and occurrence of registration errors in the emergency department.

Authors:  A Forogh Hakimzada; Robert A Green; Osman R Sayan; Jiajie Zhang; Vimla L Patel
Journal:  Int J Med Inform       Date:  2007-06-07       Impact factor: 4.046

Review 7.  Adoption of clinical decision support in multimorbidity: a systematic review.

Authors:  Paolo Fraccaro; Mercedes Arguello Casteleiro; John Ainsworth; Iain Buchan
Journal:  JMIR Med Inform       Date:  2015-01-07

Review 8.  Review of Social and Organizational Issues in Health Information Technology.

Authors:  Craig E Kuziemsky
Journal:  Healthc Inform Res       Date:  2015-07-31

9.  Communication spaces.

Authors:  Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2013-09-04       Impact factor: 4.497

10.  Towards open information management in health care.

Authors:  J Yli-Hietanen; S Niiranen
Journal:  Open Med Inform J       Date:  2008-03-24
  10 in total

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