Time Motion Studiessimple and reliable
TimeCaT is healthcare's most used time capture tool for Time Motion Studies. Built by researchers, TimeCaT provides a complete framework for conducting valid and reliable Time Motion Studies.
Trusted by researchers around the globe
TimeCaT has been widely adopted in the healthcare domain by researchers all around the globe, with projects from Europe, Africa, Asia, Oceania, Latin America and the Caribean, and North America. TimeCaT continuously grows and learns from its users to provide a more comprehensive and reliable experience when conducting Time Motion Studies.
- Projects
- 243
- Observers
- 4856
- Hours observed
- 89753
A complete framework for your Time Motion Study
TimeCaT provides modules for you to plan, organize, conduct, and disseminate your Time Motion study.
Multi-Tasking
- Our novel 3-dimensional approach to capturing multi-tasking provides an easy, accurate, and reliable means for recording real-world, complex, multi-tasking scenarios.
Inter-Observer Reliability
- The in-depth, Inter-Observer Reliability Assessments (I.O.R.A.) module provides a qualitative and a quantitative approach to validating your observers' accuracy prior to real data capture.
Real-time Reports
- No need to sync mobile devices: our cloud-based system maintains a unique registry for your studies and is always synced to provide access to real-time reports on your observations.
Accurate Data
- The Touch-timestamp feature allows observers to redirect their attention to the study environment. Additionally, the capability to correct data during the observation ensures clean data for the principal investigator.
Scheduling
- The intrinsic variability of clinical workflow demands a representative sampling and scheduling of observations. TimeCaT facilitates this with an observations scheduling module.
Pricing
The Right Solution for You and Your Team
TimeCaT is a versatile software-as-a-service platform available on most browsers, desktops, and mobile devices.
TimeCaT Pro
$79.99 per month + taxes*
Features:
- Create projects of type: Linear, Multitasking, Multi-actor
- Unlimited sites, observers, tasks, observations, and iora sessions
- Real-time reports
- Unlimited data export
*Taxes correspond to the 19% Value-Added Tax (VAT) applicable to services provided from Chile.
Each subscription in TimeCaT is tied to a single project and automatically renews monthly. You can cancel the subscription at any time. For more information, please contact us at info@timecat.org.
Peer-reviewed articles using TimeCaT
TimeCaT has empowered numerous researchers to conduct their research and publish valid, reliable research.
Appl Clin Inform. 2021 Oct;12(5):1002-1013. doi: 10.1055/s-0041-1736625. Epub 2021 Oct 27.
Characterizing Multitasking and Workflow Fragmentation in Electronic Health Records among Emergency Department Clinicians: Using Time-Motion Data to Understand Documentation Burden
Amanda J Moy, Lucy Aaron, Kenrick D Cato, Jessica M Schwartz, Jonathan Elias, Richard Trepp, Sarah Collins Rossetti
AMIA Annu Symp Proc. 2021 Jan 25;2020:886-895. eCollection 2020.
Time-motion examination of electronic health record utilization and clinician workflows indicate frequent task switching and documentation burden
Amanda J Moy, Jessica M Schwartz, Jonathan Elias, Seemab Imran, Eugene Lucas, Kenrick D Cato, Sarah Collins Rossetti
AMIA Annu Symp Proc. 2020 Mar 4;2019:1187-1196. eCollection 2019.
An Interprofessional Approach to Clinical Workflow Evaluation Focused on the Electronic Health Record Using Time motion Study Methods
Jessica Schwartz, Jonathan Elias, Cody Slater, Kenrick Cato, Sarah Collins Rossetti
Jpn J Nurs Sci. 2020 Apr;17(2):e12296. doi: 10.1111/jjns.12296. Epub 2019 Oct 16.
Refinement, reliability and validity of the Time Capture Tool (TimeCaT) using the Omaha System to support data capture for time motion studies
Merve Altiner, Selda Secginli, Yu Jin Kang
AMIA Annu Symp Proc. 2020 Mar 4;2019:952-961. eCollection 2019.
Nurses' Stress Associated with Nursing Activities and Electronic Health Records: Data Triangulation from Continuous Stress Monitoring, Perceived Workload, and a Time Motion Study
Po-Yin Yen, Nicole Pearl, Cierra Jethro, Emily Cooney, Brittany McNeil, Ling Chen, Marcelo Lopetegui, Thomas M Maddox, Marilyn Schallom
AMIA Annu Symp Proc. 2020 Mar 4;2019:617-626. eCollection 2019.
Foundations for Studying Clinical Workflow: Development of a Composite Inter-Observer Reliability Assessment for Workflow Time Studies
Marcelo Lopetegui, Po-Yin Yen, Peter Embi, Philip Payne
Res Theory Nurs Pract. 2019 May 1;33(2):147-168. doi: 10.1891/1541-6577.33.2.147.
Method Development for Describing Content of Multitasked Interventions Using the Omaha System
Merve Altiner, Selda Secginli, Michelle A Mathiason, Karen A Monsen
AMIA Annu Symp Proc. 2018 Dec 5;2018:1137-1146. eCollection 2018.
Nurses' Time Allocation and Multitasking of Nursing Activities: A Time Motion Study
Po-Yin Yen, Marjorie Kellye, Marcelo Lopetegui, Abhijoy Saha, Jacqueline Loversidge, Esther M Chipps, Lynn Gallagher-Ford, Jacalyn Buck
J Nurs Manag. 2017 Nov;25(8):640-646. doi: 10.1111/jonm.12502. Epub 2017 Aug 29.
Time motion analysis of nursing work in ICU, telemetry and medical-surgical units
Elizabeth Schenk, Ruth Schleyer, Cami R Jones, Sarah Fincham, Kenn B Daratha, Karen A Monsen
AMIA Annu Symp Proc. 2017 Feb 10;2016:1264-1273. eCollection 2016.
Understanding and Visualizing Multitasking and Task Switching Activities: A Time Motion Study to Capture Nursing Workflow
Po-Yin Yen, Marjorie Kelley, Marcelo Lopetegui, Amber L Rosado, Elaina M Migliore, Esther M Chipps, Jacalyn Buck
Appl Clin Inform. 2016 Nov 2;7(4):1007-1024. doi: 10.4338/ACI-2016-03-RA-0036.
Usability and Workflow Evaluation of "RhEumAtic Disease activitY" (READY). A Mobile Application for Rheumatology Patients and Providers
Po-Yin Yen, Barbara Lara, Marcelo Lopetegui, Aseem Bharat, Stacy Ardoin, Bernadette Johnson, Puneet Mathur, Peter J Embi, Jeffrey R Curtis
J Biomed Inform. 2014 Jun;49:292-9. doi: 10.1016/j.jbi.2014.02.017. Epub 2014 Mar 7.
Time motion studies in healthcare: what are we talking about?
Marcelo Lopetegui, Po-Yin Yen, Albert Lai, Joseph Jeffries, Peter Embi, Philip Payne
AMIA Annu Symp Proc. 2013 Nov 16;2013:889-96. eCollection 2013.
Inter-observer reliability assessments in time motion studies: the foundation for meaningful clinical workflow analysis
Marcelo A Lopetegui, Shasha Bai, Po-Yin Yen, Albert Lai, Peter Embi, Philip R O Payne
AMIA Annu Symp Proc. 2012;2012:596-605. Epub 2012 Nov 3.
Time Capture Tool (TimeCaT): development of a comprehensive application to support data capture for Time Motion Studies
Marcelo Lopetegui, Po-Yin Yen, Albert M Lai, Peter J Embi, Philip R O Payne
Frequently asked questions
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