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Cited by 444

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

When Conversation Is Better Than Computation

Open access
Coiera, E.·2000·Journal of the American Medical Informatics Association

Abstract

While largely ignored in informatics thinking, the clinical communication space accounts for the major part of the information flow in health care. Growing evidence indicates that errors in communication give rise to substantial clinical morbidity and mortality. This paper explores the implications of acknowledging the primacy of the communication space in informatics and explores some solutions to communication difficulties. It also examines whether understanding the dynamics of communication between human beings can also improve the way we design information systems in health care. Using the concept of common ground in conversation, proposals are suggested for modeling the common ground between a system and human users. Such models provide insights into when communication or computational systems are better suited to solving information problems.

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Crossref · 10.1136/jamia.2000.0070277

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Metadata

Authors
Coiera, E.
Venue
Journal of the American Medical Informatics Association
Published
2000-05-01
Volume
7
Issue
3
Pages
277-286
ISSN
  • 1067-5027 (ISSN-L)
  • 1527-974X
OpenAlex
W1549389909
Cited by
444
References
20
FWCI
51.40
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: When Conversation Is Better Than Computation. https://app.cochat.ai/papers/10.1136/jamia.2000.0070277
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Coiera, E. (2000). When Conversation Is Better Than Computation. Journal of the American Medical Informatics Association. https://doi.org/10.1136/jamia.2000.0070277

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.