About Q-Centrix
See Clinical Data Differently
Q-Centrix sees clinical data differently—as custom data sets with infinite possibilities.
Unlock the Value of Clinical Data
Providing the industry’s first Enterprise Clinical Data Management (eCDM™) approach, Q-Centrix combines AI-enabled technology, the largest and broadest team of clinical data experts, and insights from its more than 1,200 partners to help improve patient outcomes and drive process and performance improvement, strategic growth, and operational efficiency.
Its solutions address a variety of clinical data needs, including quality measurement and improvement, cardiovascular, oncology, trauma, research, and more.
A health system’s quality performance determines every metric that matters — from sustainable revenue growth and physician recruitment & retention to customer satisfaction — and is the primary driver of competition among health systems.
Enterprise Clinical Data Management
Combining four key elements, Q-Centrix’s Enterprise Clinical Data Management (eCDM™) is an industry-leading approach that leverages clinical data capture, data integrity, and technology to provide targeted, purpose-driven insights for better outcomes across entire healthcare and life sciences organizations.
Blueprint for
Quality Culture
- Establish clear priorities
- Centralized governance
- Elevate quality dialogue
Data & Analytics
as Core
- Enterprise data abstraction
- Consistent, high data quality
- Timely data for physician buy-in
Performance Improvement Focus
- Align to broader data strategy
- Leverage quality “community” for best practice
- Clear accountability for goals
Quality-Driven Partnerships
Partnering with top health systems in the market, our team works with quality leaders to deploy an enterprise clinical data management solution, purpose-built to transform clinical quality.
By leveraging our market-leading technology, clinical experts, analytics, and insights from our partner community, we build a differentiated quality culture and drive best-in-class performance.
White Paper
Vetting the value, clinical data governance
As a first step in an enterprise approach to clinical management, health systems must create a governance process to determine what measures will truly impact their performance.
