Patient Profiles
1
Assess Patient Data
Visualize patient data over their participation timeline.
2
atypical Patients
Be guided to atypical patient data by the system.
3
Review Progress
Record, review, and track progress.
4
Collaborate
Share Patient Profiles with other stakeholders.
Hover over the toggles to discover the features.
FIND ATYPICAL PATIENTS
Coupling Patient Profiles with Central Statistical Monitoring offers a more targeted approach for clinical teams to prioritize the investigation of atypical patients, by identifying anomalies in data and ranking patients by their relative degree of atypicality.
1
Assess Patient Data
Visualize patient data over their participation timeline.
2
atypical Patients
Be guided to atypical patient data by the system.
3
Review Progress
Record, review, and track progress.
4
Collaborate
Share Patient Profiles with other stakeholders.
Hover over the toggles to discover the features.
- Gain detailed insight into patient experiences.
- Target patients that matter the most.
- Benefit from a customizable set of visualization options, including the ability to visually asses a chronological view of a patient’s visit, investigational product exposure, adverse events and concomitant medications, along with any additional patient information that’s relevant.
- Quickly and effectively characterize risk signals and enable centralized medical and safety reviews.
- Perform Medical Review directly in the CluePoints platform
- Use visual Patient Profiles to explore patient data and validate operational issues
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Featured Whitepaper
ICH E6 (R2)
Summary
Paper
Created in conjunction with our peers at TUFTS Center for the Study of Drug Development, this paper provides insights on how companies are responding to ICH E6 (R2) and information on the key themes on adoption.
Featured Webinar
ICH E6 (R2)
Webinar
Series
This recorded webinar covers all of the frequently asked Questions about ICH E6 (R2), Risk-Based Study Execution (RBx) and what’s required from a people, process & technology standpoint.
We're Kind of a Big Deal.
6,000
Platform Users
1,000
Studies De-Risked
100,000
Issues Detected