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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.

Medical & Safety Review (MSR)
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Meet MSR: Why Data Accuracy Matters in Clinical Trials
Accurate data is the backbone of successful clinical trials. Every piece of patient data, from electronic...
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10 Steps for Practical RBQM Implementation for Your Business
Many clinical trial Sponsors and Contract Research Organizations (CROs) realize the great benefits of...
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RBQM Implementation Tip Sheet
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Achieving Success in a Phase 3 Dermatology Study with the Power of Effective RBQM
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Risk-Based Quality Management (RBQM)
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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
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
The Ultimate Guide to Risk-Based Quality Management
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
Achieving Success in a Phase 3 Dermatology Study with the Power of Effective RBQM
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
ICH E6 R2 – The Clinical R&D Industry’s Response
Beyond Risk-Based Monitoring: How Intelligent Analytics Are Being Used To Drive Value And Support ICH Compliance
The Bigger Picture Of ICH E6 R2: Looking Beyond Compliance
ICH E6 R2: Talking Big Pharma’s Response To The Addendum
ICH E6 R2 Roundtable Review – What Does This Mean For The Industry?
ICH E6 R2: Waiting And Watching No Longer An Option When It Comes To Risk-Based Monitoring
ICH E6 (R2) – Miracle Pill For The Clinical R&D Industry
ICH E6 Rev 2 – Ask The Experts
Webinar Recording: What Does ICH E6 R2 Mean For Me And My Company?
6th Annual CROWN Congress: Sessions You Can’t Afford To Miss + 15% Discount Code
Six Ways To Get The Most Out Of Outsourcing In Clinical Trials West Coast ‘17
The FDA Is Knocking At Your Door – Are You Ready For An FDA Site Inspection?
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
How Effective RBQM Transforms CRO Operations
Your Journey to Adaptive Site Monitoring
Medical & Safety Review (MSR)
RBQM Implementation Tip Sheet
Risk-Based Quality Management (RBQM)
Site Profile & Oversight Tool (SPOT)
Intelligent Medical Coding
CluePoints Overview