Provides intuitive operational oversight of clinical trials for clinical project managers, clinical data managers and remote staff, allowing instream decision-making on what actions are required to ensure a successful project.

Provides enhanced clinical data review through the use of data visualisations to identify issues that may impact on the trial integrity and safety of the patient e.g. data quality issues, disease exacerbation. Furthermore, CTi-CDV will facilitate flagging of these issues, and corrective actions to be recorded and monitored.

The CTi-PDA application will combine all operational and clinical data sources and use predictive modelling to forecast issues and events before they happen. The CTi-PDA application will reveal hidden correlations across all datasets thereby facilitating the pharmaceutical company to take pro-active action to address.

The CTi-RBM application will use current and historical data to predict specific risks, and thereby allow for tactical deployment of the pharmaceutical company’s data and site monitoring resources to take preventative action. This predictive risk based approach differs from current reactive approaches to risk and can significantly reduce site monitoring costs during a clinical trial.

The CTAi app has an inbuilt natural language processing engine that enables clinical trial professionals to interact with data, without requiring an understanding or knowledge of how to program SQL queries.

The CTi-PRR application manages recruitment and retention of patients for clinical trials by providing a portal for patient identification and producing a series of alerts (based on predictive analytics) that flag when a patient is at risk of withdrawing from the study.

The CTi-SIM application manages the recruitment of investigators (physicians) to run clinical trials,and manages token payment compensation by the pharmaceutical company to investigators, triggered by data-driven milestones and KPIs, defined on Clinical Trials Intelligence.

CTi-VMM provides oversight on data quality and manages token payment compensation by the pharmaceutical company to the third party vendors, triggered automatically by data-driven milestones and KPIs, defined on Clinical Trials Intelligence.