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.
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Guides
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Case Studies
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White Papers
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Research Papers
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Blogs
-
Demo Videos
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Infographics
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Fact Sheets
- Research Paper
Linear Mixed-Effects Models for Central Statistical Monitoring of Multicenter Clinical Trials
- Research Paper
Linear Mixed-Effects Models for Central Statistical Monitoring of Multicenter Clinical Trials
- Research Paper
Use of the Beta-Binomial Model for Central Statistical Monitoring of Multicenter Clinical Trials
- Research Paper
Ensuring Trial Validity by Data Quality Assurance and Diversification of Monitoring Methods
- Research Paper
Impact of On-Site Initiation Visits on Patient Recruitment and Data Quality in a Randomized Trial of Adjuvant Chemotherapy for Breast Cancer
- Research Paper
Data Fraud in Clinical Trials
- Whitepaper
Examining the Current State of ICH E6 (R2) Adoption
- Whitepaper
From RBM to RBQM: The Future of Risk-Based Trial Management
- Whitepaper
Harnessing CSM to Drive Risk-Based Quality Management (RBQM)
- Whitepaper
Conclusions from Executive Roundtable on Response to ICH E6 (R2)
- Whitepaper
Implementing a Scalable Risk-Based Monitoring Strategy
- Whitepaper
Sponsor Responses to the ICH E6 Revisions
- Case Study
Achieving Success in a Phase 3 Dermatology Study with the Power of Effective RBQM
- Case Study
Using CluePoints to Reveal Protocol Deviations in Patient Selection
- Case Study
The Value of the CluePoints Solution in Identifying Under-reported Adverse Effects in a Clinical Trial
- Case Study
Using CluePoints to Detect Miscalibrated Equipment in a Clinical Trial
- Case Study
Using CluePoints to Identify Fraud Due to the Fabrication of Patient Diaries
- Case Study
Using CluePoints to Identify Severe Propagation in Vital Sign Measurements
- Case Study
Using CluePoints to Detect Anomalies in Electronic Patient-Reported Outcomes
- Case Study
How CluePoints Detected Fraudulent Reporting of Investigational Product Administration from Patient Diary Data
- Case Study
Leveraging Risk-Based Quality Management to Facilitate Early Risk Detection
- Case Study
How CluePoints Enabled Pfizer’s ‘Hyperspeed’ Vaccine Development
- Whitepaper
Examining the Current State of ICH E6 (R2) Adoption
- Whitepaper
From RBM to RBQM: The Future of Risk-Based Trial Management
- Whitepaper
Harnessing CSM to Drive Risk-Based Quality Management (RBQM)
- Whitepaper
Conclusions from Executive Roundtable on Response to ICH E6 (R2)
- Whitepaper
Implementing a Scalable Risk-Based Monitoring Strategy
- Whitepaper
Sponsor Responses to the ICH E6 Revisions
- Whitepaper
The Principles of Central Statistical Monitoring
- Whitepaper
Ensuring Trial Validity by Data Quality Assurance and Diversification of Monitoring Methods
- Whitepaper
All you need to know about SMART™, the Engine that Drives CluePoints
- Research Paper
Does Central Statistical Monitoring Improve Data Quality? An Analysis of 1,111 Sites in 159 Clinical Trials
- Research Paper
Tufts Center for the Study of Drug Development Impact Report: Analysis & Insight Into Critical Drug Development Issues
- Research Paper
The Eradication of False Signals in Monitoring
- Research Paper
Statistical Monitoring of Data Quality and Consistency in the Stomach Cancer Adjuvant Multi-Institutional Trial Group Trial
- Research Paper
Data-Driven Risk Identification in Phase III Clinical Trials Using Central Statistical Monitoring
- Research Paper
The Role of Biostatistics in the Prevention, Detection, and Treatment of Fraud in Clinical Trials
- Research Paper
A Statistical Approach to Central Monitoring of Data Quality in Clinical Trials
- Research Paper
Centralized Statistical Monitoring as a Way to Improve the Quality of Clinical Data
- Research Paper
Linear Mixed-Effects Models for Central Statistical Monitoring of Multicenter Clinical Trials
- Research Paper
Linear Mixed-Effects Models for Central Statistical Monitoring of Multicenter Clinical Trials
- Research Paper
Use of the Beta-Binomial Model for Central Statistical Monitoring of Multicenter Clinical Trials
- Research Paper
Ensuring Trial Validity by Data Quality Assurance and Diversification of Monitoring Methods
- Blog
Meet MSR: Why Data Accuracy Matters in Clinical Trials
- Blog
10 Steps for Practical RBQM Implementation for Your Business
- Blog
The Bold Future of RBQM for CROs
- Blog
Meet SPOT: Transforming Site Monitoring Practices with Adaptive Intelligence
- Blog
A New Era of Automation: Improving Efficiency & Outcomes with Intelligent Medical Coding
- Blog
Centralized Monitoring In Clinical Trials: Everything You Should Know
- Blog
What Is Trending In Data Management And AI?
- Blog
A Year In Review: 2023 As A Watershed Moment In The Evolution Of Clinical Data Management
- Blog
How To Leverage Machine Learning & Deep Learning For Natural Language Processing In Clinical Trials
- Blog
Enhancing RBQM With Artificial Intelligence: Your Questions Answered
- Blog
How To Leverage AI For High-Quality Clinical Trials
- Blog
International Women’s Day: Laura Trotta
- Demo Video
Site Profile & Oversight Tool (SPOT)
- Swiftly pinpoint anomalies and translate insights into actionable strategies with adaptive site monitoring.
- Demo Video
Business Intelligence (BI)
- Explore clinical and operational data from various perspectives and domains in configurable formats with multiple data widgets.
- Demo Video
Central Statistical Monitoring
- Test all collected data, including both clinical and operational, exposing atypical patterns that indicate challenges.
- Demo Video
Duplicate Patients
- Specify configurable variables likely to indicate duplicates and review based on similarity scores and side-by-side evaluations.
- Demo Video
Key Risk Indicators (KRIs)
- Rank sites based on performance and tolerance metrics, uncovering ‘at-risk’ locations in need of corrective action.
- Demo Video
Patient Profiles
- Flag atypical patient patterns, prioritize investigations into anomalies within data sets, and determine critical targets.
- Demo Video
Quality Tolerance Limits (QTLs)
- Identify systematic issues, monitor key metrics, and document deviations from pre-defined QTLs to ensure compliance.
- Demo Video
Risk Assessment & Mitigation
- Determine vulnerable trial areas, define risk controls, and monitor capabilities to detect evolving threat levels.
- Demo Video
Signals & Actions Tracker
- Assess identified issues, annotate commentary, deploy automatic auditing, and leverage extensive exporting capabilities.
- Fact Sheet
Medical & Safety Review (MSR)
- Fact Sheet
RBQM Implementation Tip Sheet
- Fact Sheet
Risk-Based Quality Management (RBQM)
- Fact Sheet
Site Profile & Oversight Tool (SPOT)
- Fact Sheet
Intelligent Medical Coding
- Fact Sheet
CluePoints Overview