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Understanding Human-Computer Interactions in Restricted Clinical Environments
Kevin Kraus, Leona Trübe, Christopher Gundler
126 - 134
10.3233/SHTI230703
Research Article
Studies in Health Technology and Informatics
Volume 307: German Medical Data Sciences 2023 – Science. Close to People.
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.

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