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DOCtimer: A Timing and Event Recording Tool for Direct Observational Research
Matthew E Nolan1, Brian W Pickering2, Vitaly Herasevich2
1Division of Pulmonary & Critical Care, Mayo Clinic, Rochester, MN, USA.
Studies in Health Technology and Informatics
|January 4, 2018
Summary
Researchers developed DOCtimer, a web-based tool for timing and counting clinical tasks. This application facilitates robust data collection in direct observational research by simplifying the recording of numerous tracking elements.
Area of Science:
- Clinical research methodology
- Health informatics
Background:
- Direct observation is crucial for clinical research but lacks effective data collection tools.
- Existing methods for observational data collection are often inadequate for detailed task analysis.
Purpose of the Study:
- To introduce DOCtimer, a novel web-based application designed for timing and counting in clinical research.
- To provide researchers with an efficient instrument for collecting data during direct observational studies.
Main Methods:
- Development of a platform-independent, web-based application named DOCtimer.
- Implementation of a user interface allowing simultaneous recording of multiple tracking elements.
- Testing the application's utility in facilitating direct observational research data collection.
Main Results:
- DOCtimer enables researchers to easily record numerous tracking elements on a single screen.
- The application streamlines the data collection process for direct observational studies.
- Facilitates robust and efficient data capture for clinical task analysis.
Conclusions:
- DOCtimer addresses the need for effective data collection instruments in direct observational clinical research.
- The application enhances the feasibility and quality of data gathered through direct observation.
- DOCtimer represents a valuable tool for advancing clinical research methodologies.
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