Dashboards help users to ‘see’ their data more interactively, identify trends, visualize the patient profiles and review results at a high level while still being able to drill down to get a complete picture.
The difficulty of managing patient recruitment and documentation for clinical trials prompts demand for instruments for closely monitoring these critical but unpredictable processes. The dashboard helps to visualize time-dependent parameters and monitor the progress of patient recruitment and trial documentation.
Dashboard Structure
The entire dashboard is divided into two sections: Pre enrollment analysis and Post enrollment analysis.
Pre-Enrollment Analysis
This section of the dashboard focuses on defining the sample size and predicting the enrollments at the initial phase of the study.
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TABS:
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Sample Size Calculator: Calculates adjusted sample size for a given dropout rate for each cohort.
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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.
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Simulate Data: Simulates scan and visit data based on enrolment duration, total number of planned sites, sites active per month and enrolment rate
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Post Enrollment Analysis
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.
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TABS:
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Data Preparation: Prepares the actual scan and visit data used for analysis.
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Scan info: Provides a summary and analysis across the prepared scan and visit data.
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Cohort Expansion: Simulate enrollments at cohort level for expanded cohorts