Time Capture Tool (TimeCaT): Development of a Comprehensive Application to Support Data Capture for Time Motion Studies

Abstract

Time Motion Studies (TMS) have proved to be the gold standard method to measure and quantify clinical workflow, and have been widely used to assess the impact of health information systems implementation. Although there are tools available to conduct TMS, they provide different approaches for multitasking, interruptions, inter-observer reliability assessment and task taxonomy, making results across studies not comparable. We postulate that a significant contributing factor towards the standardization and spread of TMS would be the availability and spread of an accessible, scalable and dynamic tool. We present the development of a comprehensive Time Capture Tool (TimeCaT): a web application developed to support data capture for TMS. Ongoing and continuous development of TimeCaT includes the development and validation of a realistic inter-observer reliability scoring algorithm, the creation of an online clinical tasks ontology, and a novel quantitative workflow comparison method.

Cite this paper

@article{Lopetegui2012TimeCT, title={Time Capture Tool (TimeCaT): Development of a Comprehensive Application to Support Data Capture for Time Motion Studies}, author={Marcelo A. Lopetegui and Po-Yin Yen and Albert M. Lai and Peter J. Embi and Philip R. O. Payne}, journal={AMIA ... Annual Symposium proceedings. AMIA Symposium}, year={2012}, volume={2012}, pages={596-605} }