Slide navigation patterns among pathologists with long experience of digital review
Artikel i vetenskaplig tidskrift, 2015

Aims: In order to develop efficient digital pathology workstations, we studied the navigation patterns of pathologists diagnosing whole-slide images. To gain a better understanding of these patterns, we built a conceptual model based on observations. We also determined whether or not new navigation patterns have emerged among pathologists with extensive digital experience. Methods and results: Five pathologists were asked to diagnose a set of four cases while thinking out loud. The navigation within the digital slides was recorded and divided into re-occurring navigation actions. The pathologists reused the same type of actions, but their occurrence differed. The most common action was a slow panning that followed an edge structure or covered an area systematically, which accounted for 30.2% of all actions and had a median duration of 7.2 s. Of all the actions, 49% were carried out within the navigation overview and 38% of the actions could not have been performed with a conventional microscope. Conclusions: The new navigation possibilities in the digital workstation were used to a large extent. The division of actions into different concepts can be used to find and prioritize between existing user interface designs as well as to understand the different navigation styles used by different pathologists.

digital pathology

useability

multiscale navigation

classification of movement

Författare

Jesper Molin

Chalmers, Tillämpad informationsteknologi, Interaktionsdesign (Chalmers)

Morten Fjeld

Chalmers, Tillämpad informationsteknologi, Interaktionsdesign (Chalmers)

Claudia Mello-Thoms

The University of Sydney

Claes Lundström

Linköpings universitet

Sectra AB

Histopathology

0309-0167 (ISSN) 1365-2559 (eISSN)

Vol. 67 185-192

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Medicinteknik

Människa-datorinteraktion (interaktionsdesign)

DOI

10.1111/his.12629

PubMed

25487230