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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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