Designing a digital pathology workstation for routine practice
The role of the pathology lab is important in the future of cancer care. In order
to further personalize the care for cancer patients, more precise review of tumor
specimens is needed in order to guide clinicians between different treatment
New digital imaging technologies is one promising possibility that might allow
pathologists performing more and better work with the same amount of
resources. Early scanning systems and workstations have been shown to be
inefficient and have not met the pathologists’ needs, who still perform most of
their diagnostic work with mechanical microscopes.
In this thesis, we analyze the pathologist's work with early digital workstations
and present a set of new solutions in order to increase the performance of the
interaction with these systems.
First, we review the implementation process of two current digital systems in
two pathology labs in Sweden (Paper I), followed by study of the navigation
behavior that is performed by pathologists when they explore large digital slides
of cancer specimens (Paper II).
With a specific focus on design solutions that work within medical routine
practice, three different input devices for navigation in large images was
compared with pathologists as participants (Paper III), as well as a visualization
technique, inspired by semantic zoom in order to facilitate certain tasks for
pathologists (Paper IV).
The results provided in this thesis points towards the same conclusion that have
made in other domains: When good usability engineering is combined with
technological advances, this can make novel technology become useful for real.
For a Human-Computer Interaction (HCI) researcher, the pathologist case
represents an especially demanding use of zoomable user interfaces. This has
driven us to enhance efficiency of such interfaces further in order for them to
become useful. The research findings offered within this thesis are particularly
important to the field of digital pathology. However, our findings could also
have a bearing on the design of zoomable user interfaces.
Kuggen, 3 plan, rum 3.42, Chalmers Lindholmen
Opponent: Dr. Ivan Viola, Professor at the Vienna University of Technology, Austria