Collaboration with clinicians starts with trustworthy clinical product data.

Enrich

Deep and reliable data that can handle the specificity and complexity of clinical products with accuracy.

Clinicians need to go deeper than apples to apples comparisons. They need highly-relevant, like-for-like detailed comparisons of their data, while still being highly accurate and timely.

Strong clinical product data requires breadth across all procedural service lines, as well as depth into complex categories like orthopedics and cardiovascular. Curvo provides both breadth and depth of data to serve as the strong foundation for collaboration, innovation, and growth.

Automated, recurring enrichments that drive accuracy and fuel innovative clinical analysis.

Data Grooming & Normalization.

Cleanse and normalize your clinical product data with vendor information, part number, and detailed descriptions.

Supply Spend Enrichments

Match your PO data with GTIN, GMDN, product line, benchmarks, and savings opportunity enrichments.

Constructs and Procedures Enrichments

Understand all the components that make up a clinical construct by physician, procedure type and vendor and rebuild those same practice patterns at market benchmarks.

ONN Enrichments and GIC Classification

Leverage the most powerful classification system purpose-built for complex clinical parts and products.

Achieve accurate category views with a clinical product classification system that differentiates between coated or uncoated, revision or primary components, and accounts for size differences and material.

Curvo Difference

Fast answers that save time, power negotiations, inform new product research, and drive real savings.

See how St. Francis saved $256,000 in the first two weeks using Lookup.

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Want to learn more?

Data Enrichments That Drive Clinical Integration Ebook

The importance of data enrichments in enterprise data strategy for hospitals CIOs, supply chain leaders, clinical service line leaders, & healthcare data analysts.

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Upcoming Webinar: Data Aggregation: Building Negotiating Power

Our guest, Tony Gribble, VP Operations of Vanderbilt Health Purchasing Collaborative, will share how a strategic focus on data aggregation helped leverage the full purchasing power of their membership for greater negotiating strength, improved pricing and supply chain agility. Large health systems and large collaboratives struggle with aggregating data from facilities that are using disparate technology solutions, taxonomies, and processes. This makes analysis time-consuming, tedious, and costly. In many cases, data is left out because it cannot be matched. That means the analysis of purchasing power, market share, and price performance is limited to only a portion of the data set. Providers and collaboratives need to be able to maximize the full value of their purchasing data to quickly understand parity opportunities, utilization changes, tier opportunities, and contract participation. Tony will share how they improved their data match rates in aggregation from 60% to 95% on clinical supply spend and what that has enabled them to do to deliver greater value to their members. Agenda: Data aggregation challenges and pitfalls What drove the business decision to invest in improving data aggregation Power of data aggregation at an enterprise level How aggregated data is used to serve members and drive value Empowering sourcing leaders with aggregated data Data visualizations that drive decisions Future goals using aggregated data Q&A

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Learn More about ONN

Visit the Orthopedic Network News website to learn about the subscriptions available for the newsletter and Find A Part.

Got To ONN

Learn More about ONN

Visit the Orthopedic Network News website to learn about the subscriptions available for the newsletter and Find A Part.

Go To ONN

Put your clinical product data to the test.

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