How can you use the Clinical Trial Risk Tool to create a per-subject budget from a protocol or synopsis and a site Charge Master? The video below walks you through how the Clinical Trial Risk Tool by Fast Data Science can accelerate your budgeting.
The Clinical Trial Risk Tool streamlines the creation of a per-subject budget by automating the typically manual process of extracting data from the Study Protocol and cross-referencing it with Charge Master/Fee Schedules.
The tool focuses on the Schedule of Events table within the study protocol. This table is critical because it lists every procedure and assessment (Y-axis) and specifies the visit (X-axis) at which each will take place (often marked with an “X”). The tool pulls out this table data from the PDF protocol, overcoming the need for manual transcription.
Once the procedures and the relevant visits are identified, the tool uses the Charge Master/Schedule of Procedure Fees which the user has selected. The Charge Master contains the local codes and costs for various procedures. The tool cross-references the procedures identified in the Schedule of Events with their associated costs in the Charge Master, using generative AI (vector similarity).
By matching the required study procedures with their local costs, the tool can fill out an itemised budget (e.g., cost of vital signs, lab procedures, blood draws, etc.) for each patient visit, ultimately compiling the total per-subject budget.
You can also check out our recent White Paper.
How does the tool work? https://clinicaltrialrisk.org/clinical-trial-protocol-software/create-clinical-trial-budget-from-synopsis/
More about Fast Data Science: https://fastdatascience.com/
You can use the Chi-Squared test to analyse your trial data or A/B test data if you have two groups with a dichotomous outcome. For example, you have two arms in your trial: the placebo and the intervention arm, and your endpoint is either yes or no, such as “did the subject experience an adverse event during the trial”. The calculator below will calculate the minimum sample size for you. Your expected effect size w is the standardised effect size according to Cohen’s definition.
Guest post by Youssef Soliman, medical student at Assiut University and biostatistician In today’s complex research environment, managing the finances of a clinical trial is as crucial as managing the science. Dedicated clinical trial financial management software solutions have emerged to oversee the monetary aspects of studies, helping maintain tight budgetary control and regulatory compliance. These platforms typically encompass capabilities like budget creation, real-time expense tracking, automated payments to sites and vendors, and the generation of audit-ready financial reports.
Guest post by Safeer Khan, Lecturer at Department of Pharmaceutical Sciences, Government College University, Lahore, Pakistan* Introduction Pilot studies are a cornerstone of modern clinical research. These preliminary trials allow researchers to assess the feasibility of their hypotheses, refine methodologies, and identify potential obstacles before embarking on larger, more expensive trials with significant ethical implications. A well-structured pilot study not only saves time and resources but also reduces the chances of costly failures during later phases of the clinical trial process.
