Reducing Qualitative Data Analysis Through Autocomplete Text Fields

Background One of the difficulties in doing research that occurs during the data analysis phase is how to analyze open text entries. Anytime data is collected into a text field, it becomes a qualitative data point when it comes to data analysis. Analyzing qualitative...

Handling a Surgical Study with Repeated Observation Times

Challenge While collecting repeated observations of animals using a standardize scale is not in itself a challenge, allowing access to only one scale at a time during the appropriate time frame to the correct individual is a challenge. For this particular study, up to...

Improving Inter-Rater Reliability

Challenge When multiple raters will be used to assess the condition of a subject, it is important to improve inter-rater reliability, particularly if the raters are transglobal. The complexity of language barriers, nationality custom bias, and global locations...

Capturing Subject Scales

Challenge Collecting data entered on a Visual Analog Scale (VAS) using paper is always subject to data measurement and entry errors. The challenge was to replicate the paper process electronically in order to eliminate post-data collection measurement and data entry...

VISION Enables World-Wide Research With Multi-Language Capcity

Background Conducting world-wide clinical research requires CRFs to be available in the participating clinic’s native language. This makes data entry post-data collection a complex process. Currently the majority of studies have two main options for this: collect data...