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RESEARCH & THOUGHTS

Perspectives Shaping Clinical Development

Discover engaging resources driving the conversation forward and on-demand demo videos showcasing the very solutions forming the future of our field.

Duplicate Patients
Specify configurable variables likely to indicate duplicates and review based on similarity scores and...
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Key Risk Indicators (KRIs)
Rank sites based on performance and tolerance metrics, uncovering ‘at-risk’ locations in need of corrective...
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Patient Profiles
Flag atypical patient patterns, prioritize investigations into anomalies within data sets, and determine...
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Quality Tolerance Limits (QTLs)
Identify systematic issues, monitor key metrics, and document deviations from pre-defined QTLs to ensure...
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Risk Assessment & Mitigation
Determine vulnerable trial areas, define risk controls, and monitor capabilities to detect evolving threat...
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Signals & Actions Tracker
Assess identified issues, annotate commentary, deploy automatic auditing, and leverage extensive exporting...
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The Principles of Central Statistical Monitoring
Ensuring Trial Validity by Data Quality Assurance and Diversification of Monitoring Methods
All you need to know about SMART™, the Engine that Drives CluePoints
Using CluePoints to Reveal Protocol Deviations in Patient Selection
The Value of the CluePoints Solution in Identifying Under-reported Adverse Effects in a Clinical Trial
Using CluePoints to Detect Miscalibrated Equipment in a Clinical Trial
Using CluePoints to Identify Fraud Due to the Fabrication of Patient Diaries
Using CluePoints to Identify Severe Propagation in Vital Sign Measurements
Using CluePoints to Detect Anomalies in Electronic Patient-Reported Outcomes
How CluePoints Detected Fraudulent Reporting of Investigational Product Administration from Patient Diary Data
Leveraging Risk-Based Quality Management to Facilitate Early Risk Detection
How CluePoints Enabled Pfizer’s ‘Hyperspeed’ Vaccine Development
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Understanding Trends In QTL Adoption
UK’s MHRA Cites CluePoints Centralized Statistical Monitoring In Updated GCP Guidance
Risk-Based Fraud Detection: How Centralized Monitoring Can Boost Data Quality
Software Engineering Skills For A Big Societal Impact
CluePoints’ Launch Post-COVID Trial Assurance Solution
Using Risk-Based Monitoring To Focus On What Matters
Practical Steps For Centralized Monitoring Success
The Evolution Of CluePoints’ SMART Engine
Life As A Clinical Data Analyst At CluePoints
Best Practice Advice To Enable Teams To Focus On High Quality Data In Clinical Studies
Exploring The Role Of AI And Machine Learning In Clinical Trials
Centralized Monitoring – How To Unlock The Treasure Chest Of Analytical Insights
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