title: When seconds are counted: tools for mobile, high-resolution time-motion studies.
abstract: Time-motion (TM) studies are often considered the gold-standard for measurements of the impact of computer systems on task flow and duration. However, in many clinical environments tasks occur too rapidly and have too short of a duration to be captured with conventional paper-based TM methods. Observers may also with to categorize caregiver activities along multiple axes simultaneously. This multi-axial characteristic of clinical activity has been modeled as multiple, parallel finite-state sets and implemented in three computerized data collection tools. Radiology reporting is a domain in which tasks can be characterized by multiple attributes. A radiologist may also switch among multiple tasks in a single minute. The use of these tools to measure the impact of an Automated Speech Recognition (ASR) system on Radiology reporting is presented.
authors.affiliation: Departments of Medical Informatics and Radiology, Columbia University, New York, NY, USA.
authors.forename: J
authors.initials: J
authors.lastname: Starren
authors.forename: S
authors.initials: S
authors.lastname: Chan
authors.forename: F
authors.initials: F
authors.lastname: Tahil
authors.forename: T
authors.initials: T
authors.lastname: White
mesh_terms: D003625:Data Collection / Q000379:methods; D006302:Health Services Research / Q000379:methods; D006801:Humans; D016347:Medical Records Systems, Computerized; D008838:Microcomputers; D011381:Programming Languages; D011871:Radiology / Q000458:organization & administration; D011873:Radiology Information Systems; D012984:Software; D013060:Speech; D013996:Time and Motion Studies; D014584:User-Computer Interface