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.

Your Journey to Adaptive Site Monitoring
CluePoints’ Site Profile & Oversight Tool (SPOT) enables adaptive site monitoring so teams can swiftly...
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Meet SPOT: Transforming Site Monitoring Practices with Adaptive Intelligence
Site monitoring is one of the most expensive components of clinical trials; on-site monitoring alone...
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A New Era of Automation: Improving Efficiency & Outcomes with Intelligent Medical Coding
In clinical trials, patient data such as adverse events and concomitant medications is coded against...
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Site Profile & Oversight Tool (SPOT)
Swiftly pinpoint anomalies and translate insights into actionable strategies with adaptive site monitoring.
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Business Intelligence (BI)
Explore clinical and operational data from various perspectives and domains in configurable formats with...
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Central Statistical Monitoring
Test all collected data, including both clinical and operational, exposing atypical patterns that indicate...
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Your Journey to Adaptive Site Monitoring
Meet SPOT: Transforming Site Monitoring Practices with Adaptive Intelligence
A New Era of Automation: Improving Efficiency & Outcomes with Intelligent Medical Coding
Site Profile & Oversight Tool (SPOT)
Business Intelligence (BI)
Central Statistical Monitoring
Duplicate Patients
Key Risk Indicators (KRIs)
Patient Profiles
Quality Tolerance Limits (QTLs)
Risk Assessment & Mitigation
Signals & Actions Tracker
Empower Clinical Trial Teams with ML
The Risk-Based Data Management Revolution
Your RBQM Benchmark Analysis: Prepare for ICH E6 R3
CluePoints Intelligent Analytics Platform
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
Examining the Current State of ICH E6 (R2) Adoption
From RBM to RBQM: The Future of Risk-Based Trial Management
Harnessing CSM to Drive Risk-Based Quality Management (RBQM)
Conclusions from Executive Roundtable on Response to ICH E6 (R2)
Implementing a Scalable Risk-Based Monitoring Strategy
Sponsor Responses to the ICH E6 Revisions
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
Does Central Statistical Monitoring Improve Data Quality? An Analysis of 1,111 Sites in 159 Clinical Trials
Tufts Center for the Study of Drug Development Impact Report: Analysis & Insight Into Critical Drug Development Issues
The Eradication of False Signals in Monitoring
Statistical Monitoring of Data Quality and Consistency in the Stomach Cancer Adjuvant Multi-Institutional Trial Group Trial
Data-Driven Risk Identification in Phase III Clinical Trials Using Central Statistical Monitoring
The Role of Biostatistics in the Prevention, Detection, and Treatment of Fraud in Clinical Trials
A Statistical Approach to Central Monitoring of Data Quality in Clinical Trials
Centralized Statistical Monitoring as a Way to Improve the Quality of Clinical Data
Linear Mixed-Effects Models for Central Statistical Monitoring of Multicenter Clinical Trials
Linear Mixed-Effects Models for Central Statistical Monitoring of Multicenter Clinical Trials
Use of the Beta-Binomial Model for Central Statistical Monitoring of Multicenter Clinical Trials
Ensuring Trial Validity by Data Quality Assurance and Diversification of Monitoring Methods
Meet SPOT: Transforming Site Monitoring Practices with Adaptive Intelligence
A New Era of Automation: Improving Efficiency & Outcomes with Intelligent Medical Coding
Centralized Monitoring In Clinical Trials: Everything You Should Know
What Is Trending In Data Management And AI?
A Year In Review: 2023 As A Watershed Moment In The Evolution Of Clinical Data Management
How To Leverage Machine Learning & Deep Learning For Natural Language Processing In Clinical Trials
Enhancing RBQM With Artificial Intelligence: Your Questions Answered
How To Leverage AI For High-Quality Clinical Trials
International Women’s Day: Laura Trotta
International Women’s Day: Celine Daubresse
International Women’s Day: Jennifer Bournique
International Women’s Day: Catherine Ditzler
Site Profile & Oversight Tool (SPOT)
Business Intelligence (BI)
Central Statistical Monitoring
Duplicate Patients
Key Risk Indicators (KRIs)
Patient Profiles
Quality Tolerance Limits (QTLs)
Risk Assessment & Mitigation
Signals & Actions Tracker
Your Journey to Adaptive Site Monitoring