Visualise and transform your clinical data with R
Explore the dashboards created by Genpro’s R and SAS programmers to keep track of the accrual and stratification factors in your study. We provide customized dashboards tailored for your needs.
The entire dashboard is divided into two sections: Pre enrollment analysis and Post enrollment analysis.
This section of the dashboard focuses on defining the sample size and predicting the enrollments at the initial phase of the study.
Sample Size Calculator: Calculates adjusted sample size for a given dropout rate for each cohort.
Enrollment prediction: Forecasts the time duration for subject enrolment based on enrolment start date, total number of planned sites, sites active per month, sample size and enrolment rate.
Simulate Data: Simulates scan and visit data based on enrolment duration, total number of planned sites, sites active per month and enrolment rate
Post-Enrolment Analysis focuses on displaying the actual collected Scan & Visit data for all enrolled subjects and predicting the further Scans & Visit details along with a summary.
Data Preparation: Prepares the actual scan and visit data used for analysis.
Scan info: Provides a summary and analysis across the prepared scan and visit data.
Cohort Expansion: Simulate enrollments at cohort level for expanded cohorts
Sample size calculationSample size estimation is one of the key aspects of every clinical trial protocol and is usually the most important factor determining the time and cost of the study. The dashboard enables users to calculate the adjusted sample size at cohort level as well as stage level considering the dropout rate and predefined sample size. The user can also specify if there is any positive response in any cohort and the cohort size will be expanded accordingly considering the dropout rate.
Enrollment ProjectionPatient recruitment is a necessary condition of success for clinical trials. The dashboard models clinical trial enrollment prediction using available information prior to the initiation of the trial. The user can calculate enrollment duration based on enrollment start date, total number of planned sites, number of sites active per month, enrollment rate(p/s/m), number of initial subjects enrolled and number of initial sites active
Import, Analyze, and Export data
When one or more positive responses are identified within a cohort, cohort expansion can occur. In such cases, specific tabs on the dashboard simulate additional subject information of the expanded cohorts based on the number of responses identified. This could aid in future planning and determining the additional trial duration. The simulations can be based on the expected number of monthly enrollments or on the enrolment rate, number of responses, and number of available sites.
Data Validation and Cleaning
The process of testing the validity of data in accordance with the specifications is a critical process. Data validation checks in the dashboard ensures collection, integration and availability of data at appropriate quality and cost. This feature could be further extended to provide easy identification and resolution of data discrepancies in the CDM process. Users can define rules to cross check data and automatically identify discrepancies, thereby making data cleaning simple.
Critical analysis of clinical data can be made simple with bar charts, line graphs and more. Interactive visualization methods can help visualize and analyze clinical data from screening and enrollment to tracking adverse events. Dashboard can generate study enrollment reports, data validation reports and interactive plots that allow you to visualize data, from exploring cohorts down to individual patients.