Clinical data analysis software for ensuring trial safety and efficacy
Role-based workflows, reusable templates and automated reporting tools make it easy for all key participants in the trial review process to explore trends and outliers and share results. Capabilities including risk-based monitoring, data monitoring, fraud detection and statistical analysis limit costly on-site reviews and reduce trial failure.
Producing adverse event narratives for clinical study reports (CSRs) can be a painstaking, time-consuming process with significant consequences for inaccuracies or delays. With JMP Clinical, medical writers can automate patient profiles and patient narratives and reduce the time and complexity of creating output for review and submission to regulatory agencies.
Scrupulously maintaining the validity of all data throughout the trial process is crucial. JMP Clinical helps data managers visually monitor the status of all data and quickly identify new, modified, deleted or duplicate data. This lets you expedite database locking and ensures that downstream analysis will always be based on valid data.
The goal of clinical operations is to mitigate data quality risks that could hinder a regulatory submission or drug approval. Risk-based monitoring tools in JMP Clinical help you identify data anomalies at the vendor, monitor, site and country level, and determine the factors responsible for lapses in safety or data quality.
Clinical data scientists and medical monitors
Summary dashboards in JMP Clinical enable clinical data scientists and medical monitors to evaluate safety and efficacy issues with the click of a button. Create interactive reports of adverse events, concomitant medications, labs and vital signs and drill down to customized patient profiles and patient narratives.