How to limit clinical errors in interpretation of data

P. J. Wright; Carolus Jansen; J. C.  Wyatt

How to limit clinical errors in interpretation of data

P. J. Wright, Carolus Jansen, J. C. Wyatt

Research output: Contribution to journal › Article › Academic › peer-review

34 Citations (Scopus)

Abstract

We all assume that we can understand and correctly interpret what we read. However, interpretation is a collection of subtle processes that are easily influenced by poor presentation or wording of information. This article examines how evidence-based principles of Information design can be applied to medical records to enhance clinical understanding and accuracy in interpretation of the detailed data that they contain.

Original language	English
Pages (from-to)	1539-1543
Journal	The Lancet
Volume	352
Publication status	Published - 1998
Externally published	Yes

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Cite this

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title = "How to limit clinical errors in interpretation of data",

abstract = "We all assume that we can understand and correctly interpret what we read. However, interpretation is a collection of subtle processes that are easily influenced by poor presentation or wording of information. This article examines how evidence-based principles of Information design can be applied to medical records to enhance clinical understanding and accuracy in interpretation of the detailed data that they contain. ",

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AB - We all assume that we can understand and correctly interpret what we read. However, interpretation is a collection of subtle processes that are easily influenced by poor presentation or wording of information. This article examines how evidence-based principles of Information design can be applied to medical records to enhance clinical understanding and accuracy in interpretation of the detailed data that they contain.

M3 - Article

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VL - 352

SP - 1539

EP - 1543

JO - The Lancet

JF - The Lancet

ER -