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: clinical environment; human-computer interaction; unobtrusive search behavior analysis; web extension.