The cognitive complexity of a provider order entry interface.

Jan Horsky, David Kaufman, Vimla Patel

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

Computer-based provider order entry (POE) can reduce the frequency of preventable medical errors. However, overly complex interfaces frequently pose a challenge to users and impede clinical efficacy. We present a cognitive analysis of clinician interaction with a commercial POE system. Our investigation was informed by the distributed resources model, a novel approach designed to describe the dimensions of user interfaces that introduce unnecessary cognitive complexity. This approach characterizes the relative distribution of user's internal representations and external representations embodied in the system or environmental artifacts. The research consisted of two component analyses: a modified cognitive walkthrough evaluation and a simulated clinical ordering task performed by seven physicians. The analysis revealed that the configuration of resources placed unnecessarily heavy cognitive demands on the user, especially those who lacked a robust conceptual model of the system. The resources model was also used to account for patterns of errors produced by clinicians.

Original languageEnglish (US)
Pages (from-to)294-298
Number of pages5
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2003
Externally publishedYes

Fingerprint

Medical Errors
Artifacts
Physicians
Research

Cite this

The cognitive complexity of a provider order entry interface. / Horsky, Jan; Kaufman, David; Patel, Vimla.

In: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 2003, p. 294-298.

Research output: Contribution to journalArticle

@article{f16e3c081ce5450c8c7d59b9575f647e,
title = "The cognitive complexity of a provider order entry interface.",
abstract = "Computer-based provider order entry (POE) can reduce the frequency of preventable medical errors. However, overly complex interfaces frequently pose a challenge to users and impede clinical efficacy. We present a cognitive analysis of clinician interaction with a commercial POE system. Our investigation was informed by the distributed resources model, a novel approach designed to describe the dimensions of user interfaces that introduce unnecessary cognitive complexity. This approach characterizes the relative distribution of user's internal representations and external representations embodied in the system or environmental artifacts. The research consisted of two component analyses: a modified cognitive walkthrough evaluation and a simulated clinical ordering task performed by seven physicians. The analysis revealed that the configuration of resources placed unnecessarily heavy cognitive demands on the user, especially those who lacked a robust conceptual model of the system. The resources model was also used to account for patterns of errors produced by clinicians.",
author = "Jan Horsky and David Kaufman and Vimla Patel",
year = "2003",
language = "English (US)",
pages = "294--298",
journal = "AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium",
issn = "1559-4076",
publisher = "American Medical Informatics Association",

}

TY - JOUR

T1 - The cognitive complexity of a provider order entry interface.

AU - Horsky, Jan

AU - Kaufman, David

AU - Patel, Vimla

PY - 2003

Y1 - 2003

N2 - Computer-based provider order entry (POE) can reduce the frequency of preventable medical errors. However, overly complex interfaces frequently pose a challenge to users and impede clinical efficacy. We present a cognitive analysis of clinician interaction with a commercial POE system. Our investigation was informed by the distributed resources model, a novel approach designed to describe the dimensions of user interfaces that introduce unnecessary cognitive complexity. This approach characterizes the relative distribution of user's internal representations and external representations embodied in the system or environmental artifacts. The research consisted of two component analyses: a modified cognitive walkthrough evaluation and a simulated clinical ordering task performed by seven physicians. The analysis revealed that the configuration of resources placed unnecessarily heavy cognitive demands on the user, especially those who lacked a robust conceptual model of the system. The resources model was also used to account for patterns of errors produced by clinicians.

AB - Computer-based provider order entry (POE) can reduce the frequency of preventable medical errors. However, overly complex interfaces frequently pose a challenge to users and impede clinical efficacy. We present a cognitive analysis of clinician interaction with a commercial POE system. Our investigation was informed by the distributed resources model, a novel approach designed to describe the dimensions of user interfaces that introduce unnecessary cognitive complexity. This approach characterizes the relative distribution of user's internal representations and external representations embodied in the system or environmental artifacts. The research consisted of two component analyses: a modified cognitive walkthrough evaluation and a simulated clinical ordering task performed by seven physicians. The analysis revealed that the configuration of resources placed unnecessarily heavy cognitive demands on the user, especially those who lacked a robust conceptual model of the system. The resources model was also used to account for patterns of errors produced by clinicians.

UR - http://www.scopus.com/inward/record.url?scp=16544389470&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=16544389470&partnerID=8YFLogxK

M3 - Article

C2 - 14728181

AN - SCOPUS:16544389470

SP - 294

EP - 298

JO - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JF - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

SN - 1559-4076

ER -