Clinical Lifecycle 360
Orchestrating Clinical Trials with Intelligence, Integration, and Insight.
The Clinical Lifecycle 360 Solution, built on Appian, unifies clinical trial data, processes, and systems into a single orchestration layer—simplifying access and optimizing workflows. By connecting core and SaaS platforms like HORIZON, CLIP, CTMS (Veeva Vault), and Rubicon, it eliminates manual workarounds and redundant processes. The platform fosters collaboration and real-time data sharing across clinical operations teams, ensuring standardization, proactive risk management, and actionable insights. Designed for scalability, Clinical 360 delivers a centralized view of trials, vendor management, and resource allocation thus empowering faster, data-driven decisions across the entire clinical lifecycle.Â

What’s not working
The Business Challenge
Fragmented Systems and Inefficient CollaborationÂ
Disconnected platforms (HORIZON, CLIP, CTMS) and outdated communication methods cause data silos, manual workarounds, and slower decision-making.Â
Lack of Standardization Across DepartmentsÂ
Inconsistent workflows and redundant practices reduce efficiency, alignment, and data reliability across teams.Â
Manual Workarounds and Operational Risks
Excel-based tracking increases errors, delays, and weakens traceability across trials and vendors.Â
Limited Oversight of Milestones and Vendor PerformanceÂ
Fragmented tools hinder tracking of progress, compliance, and deliverables, impacting timelines and accountability.Â
Insufficient Real-Time Visibility and Risk ManagementÂ
Without a centralized view, teams react slowly to risks and insights, delaying corrective actions.Â
Inefficient Resource Allocation and ManagementÂ
Limited visibility into FTEs, budgets, and utilization impairs planning and operational agility.Â
Key Features
Unified Trial, Vendor, and Site 360° Visibility
Single dashboard for all trial, vendor, and site data for tracking milestones, KPIs, risks, and compliance in real time.Â
Centralized Risk and Issue Management
Consolidates risks across programs, vendors, and sites with real-time alerts and automated mitigation workflows.Â
Intelligent Task Orchestration Across Systems
Connects NCV, Metadata Rave, and CTMS—syncing tasks, updates, and outcomes seamlessly across platforms.
Role-Based Cockpit Dashboards and Team OversightÂ
Provides personalized views by role with KPIs, risks, and team access tracking for compliance and accountability.Â
AI-Powered Insights and Predictive Automation
Delivers intelligent insights, trend analysis, and predictive alerts to accelerate decision-making and reduce manual effort.Â
Process Visibility and Optimization with Process HQ
Offers end-to-end workflow visibility, identifying bottlenecks and enabling data-driven process improvements.Â
Advanced Analytics for CRFs, Enrollment, and Patient Journeys
Tracks CRF completeness, patient enrollment, and data accuracy for improved trial quality and compliance.
Knowledge Curation and Trial Closeout Management
Centralizes SOPs and study content while streamlining DBL, analysis, and EOT reporting for smooth trial closure.
The Business Impact
Faster Clinical Trial Delivery
Streamlined and automated workflows shortened setup, conduct, and closeout cycles.
Smarter, Data-Driven Decision Making
Unified data visibility enabled faster, evidence-backed clinical and operational choices.
Stronger Vendor and Site Performance
Automated governance improved accountability, compliance, and external partner reliability.
Reduced Risk Exposure Across Portfolios
Predictive monitoring and proactive mitigation lowered trial delays and escalations.
Lower Operational and Administrative Costs
Process automation cut manual work, inefficiencies, and tool redundancies.
Enhanced Compliance and Audit Readiness
End-to-end traceability ensured consistent global compliance and inspection readiness.
A
- Agent-Oriented Architecture
- Agentic AI Alignment
- Agentic AI for Customer Engagement
- Agentic AI for Decision Support
- Agentic AI for Knowledge Management
- Agentic AI for Predictive Operations
- Agentic AI for Process Optimization
- Agentic AI for Workflow Automation
- Agentic AI Safety
- Agentic AI Strategy
- Agile Development
- Agile Development Methodology
- AI Agents for IT Service Management
- AI for Compliance Monitoring
- AI for Customer Sentiment Analysis
- AI for Demand Forecasting
- AI for Edge Computing (Edge AI)
- AI for Energy Consumption Optimization
- AI for Predictive Analytics
- AI for Predictive Maintenance
- AI for Real Time Risk Monitoring
- AI for Telecom Network Optimization
- AI Governance Frameworks
- AI Implementation Approach
- AI Implementation Methodology
- AI in Cybersecurity
- AI Orchestration
- AI Performance Measurement (KPIs, ROI)
- AI Use-Case Discovery
- AI Use-Case Prioritization
- AI-Driven Business Transformation
- AI-Driven Cybersecurity Solutions
- Algorithm
- API Integration
- API Management
- Application Modernization
- Applied & GenAI
- Artificial Intelligence
- Artificial Neural Network
- Augmented Reality
- Autonomous AI Agents
