Improving healthcare delivery and outcomes benefits everyone.
These are all critical goals. To get better, you need to know what happened, how you compare, and what you can do to improve. Data science delivers these answers.
To achieve performance improvement, you first need to define your goals. With the end in mind, you can then pull together relevant data from many sources in one place to produce reliable insights for decision making.
Making real progress requires clinician engagement. You need their trust in insights that are relevant, valid, and timely. This helps facilitate evidence-based comparisons that catapult quality improvement efforts.
When you have insights you and others trust, you can identify the best path to quality improvement. You can feel secure in making informed decisions that are rooted in validated, accurate data and high-quality analytics.
Our analytics solutions provide you with precise answers that empower data-driven action. We transform data into evidence and give you real-time access to it so you can:
"There isn’t any question that our partnership with ArborMetrix has been the major driver in getting the collaborative to where we are today. In 2012, we started off with the vision of being a collaborative that could improve the lives of patients and their families touched by congenital heart disease. Through the use of the ArborMetrix platform, we have achieved a significant reduction in cardiac surgical mortality in children since our collaborative was initiated."
Quality improvement is measurable progress toward better patient care and outcomes.
Real-world quality improvement in healthcare delivery benefits everyone - from patients to clinicians, hospitals and payers, and life science organizations.
Achieving quality improvement at scale is made easier with an advanced data registry.
Patient registries collect, organize, and display healthcare information with the purpose of evaluating and improving outcomes. Combined with rigorous analytics, clinical registries can point to areas for improvement, identify best practices, and help you make informed decisions to reach your quality goals.
Learn more from our best examples of quality improvement.
Leverage high-quality, research-grade evidence to accelerate clinical research, and encourage deeper investigation into trends and outcomes.
Inform a complete view of outcomes with patient data that is collected and analyzed in a statistically valid way to support data-driven decision-making.