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Understanding Human-Computer Interactions in Restricted Clinical Environments

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Understanding Human-Computer Interactions in Restricted Clinical Environments. / Kraus, Kevin; Trübe, Leona (Editor); Gundler, Christopher.

In: Stud Health Technol Inform, Vol. 307, 12.09.2023, p. 126-134.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Kraus, K, Trübe, L (ed.) & Gundler, C 2023, 'Understanding Human-Computer Interactions in Restricted Clinical Environments', Stud Health Technol Inform, vol. 307, pp. 126-134. https://doi.org/10.3233/SHTI230703

APA

Kraus, K., Trübe, L. (Ed.), & Gundler, C. (2023). Understanding Human-Computer Interactions in Restricted Clinical Environments. Stud Health Technol Inform, 307, 126-134. https://doi.org/10.3233/SHTI230703

Vancouver

Kraus K, Trübe L, (ed.), Gundler C. Understanding Human-Computer Interactions in Restricted Clinical Environments. Stud Health Technol Inform. 2023 Sep 12;307:126-134. https://doi.org/10.3233/SHTI230703

Bibtex

@article{9db7fa7a4e0845c9a6bb9f299816fc4e,
title = "Understanding Human-Computer Interactions in Restricted Clinical Environments",
abstract = "INTRODUCTION: Conducting research on human-computer interaction and information retrieval requires unobtrusive observations within existing network architectures.STATE OF THE ART: Most of the available tools are not suitable to be applied within restricted clinical systems. The specific requirements hinder analysis of the human factors in health sciences.CONCEPT: We identified extensions for popular web browsers as a suitable way to conduct studies in highly regulated environments.IMPLEMENTATION: Considering the specialized requirements and an adequate level of transparency for the recorded clinician, we developed an open-source Web Extension compatible with major web browsers.LESSONS LEARNED: We identified the challenges associated with the specific tool and are preparing its use to understand clinical reasoning in personalized oncology.",
keywords = "Humans, Computers, Information Storage and Retrieval, Medical Oncology, Medicine, Records",
author = "Kevin Kraus and Leona Tr{\"u}be and Christopher Gundler",
year = "2023",
month = sep,
day = "12",
doi = "10.3233/SHTI230703",
language = "English",
volume = "307",
pages = "126--134",

}

RIS

TY - JOUR

T1 - Understanding Human-Computer Interactions in Restricted Clinical Environments

AU - Kraus, Kevin

AU - Gundler, Christopher

A2 - Trübe, Leona

PY - 2023/9/12

Y1 - 2023/9/12

N2 - INTRODUCTION: Conducting research on human-computer interaction and information retrieval requires unobtrusive observations within existing network architectures.STATE OF THE ART: Most of the available tools are not suitable to be applied within restricted clinical systems. The specific requirements hinder analysis of the human factors in health sciences.CONCEPT: We identified extensions for popular web browsers as a suitable way to conduct studies in highly regulated environments.IMPLEMENTATION: Considering the specialized requirements and an adequate level of transparency for the recorded clinician, we developed an open-source Web Extension compatible with major web browsers.LESSONS LEARNED: We identified the challenges associated with the specific tool and are preparing its use to understand clinical reasoning in personalized oncology.

AB - INTRODUCTION: Conducting research on human-computer interaction and information retrieval requires unobtrusive observations within existing network architectures.STATE OF THE ART: Most of the available tools are not suitable to be applied within restricted clinical systems. The specific requirements hinder analysis of the human factors in health sciences.CONCEPT: We identified extensions for popular web browsers as a suitable way to conduct studies in highly regulated environments.IMPLEMENTATION: Considering the specialized requirements and an adequate level of transparency for the recorded clinician, we developed an open-source Web Extension compatible with major web browsers.LESSONS LEARNED: We identified the challenges associated with the specific tool and are preparing its use to understand clinical reasoning in personalized oncology.

KW - Humans

KW - Computers

KW - Information Storage and Retrieval

KW - Medical Oncology

KW - Medicine

KW - Records

U2 - 10.3233/SHTI230703

DO - 10.3233/SHTI230703

M3 - SCORING: Journal article

C2 - 37697846

VL - 307

SP - 126

EP - 134

ER -