The Emergency Care Research Institute (ECRI) announced the release of an enhanced technology solution designed to improve new product and standardization decisions. Designed for healthcare value analysis committees, the decision-support technology solution features best-in-class intelligence and clinical evidence content to guide technology procurement.
“The healthcare supply chain has faced incredible challenges and undergone transformational changes during the pandemic,” says Marcus Schabacker, MD, PhD, president and CEO, ECRI. “We understand these challenges and are designing improved solutions to help hospitals and health systems make transparent, evidence-based technology decisions that will reduce costs and improve patient outcomes.”
ECRI’s Value Analysis Workflow offers transparency into the decision-making process to strengthen engagement by physicians and collaboration with other team members. It is also scalable to meet health systems’ current and future needs.
This is the first time that ECRI has embedded the full breadth of their proprietary medical technology intelligence into a single software application. Value analysis teams have access to a range of resources, including 2,500 clinical evidence assessments; the largest and most comprehensive dataset of pricing on equipment, supplies and services; functionally equivalent product alternatives; and product safety data. The decision support tool also includes product test results based on evaluations conducted in ECRI’s independent medical device laboratory.
A fully scalable product, Value Analysis Workflow enables healthcare systems to:
- Accelerate system-wide decisions on new health technology requests—organizes and automates projects, tasks, and content all in one place
- Adopt a best-in-class approach using best-practice standard workflows—connects to superior clinical evidence content, proprietary pricing and comparison intelligence, and patient safety data
- Engage physicians, clinicians, and supply chain leaders—with transparency into the workflow progress and technology decision making
