Taxonomy & Data
Candello has the richest set of MPL data in the United States with almost half a million coded cases representing one-third of all medical malpractice claims and lawsuits.
The Data Collaborative
Candello’s national database of medical professional liability (MPL) cases is a robust patient safety learning engine, built for making better data-informed decisions that can help save lives.
Sourced from academic medical centers, community hospitals, other health care settings, and captive and commercial insurers nationwide, Candello enables comprehensive analyses compared with your peers.
The Taxonomy and Process
Built on a dynamic, highly-governed taxonomy used by CRICO for nearly 50 years, Candello’s proprietary set of codes and formulas for linking and weighting adds depth and sophistication to our analysis of clinical records and legal proceedings.
Through rigorous training, ongoing education, and regular audits to maintain inter-rater reliability, our coding process is unparalleled and captures precise factors to illuminate the what, where, how, and why of patient harm.
Linking and Weighting
We’ve introduced linking and weighting updates to our clinical coding taxonomy that:
- Introduce relativity to Candello data.
- Link each member of the care team (e.g., MD, RN, technician, therapist, clerical support) to the specific actions or inactions with which they are associated in a case.
- Provide case-level and aggregated data detailing the relationship between a specific provider or member of the care team involved in the case, and how they impacted the course of care or outcome of the case.
- Identify the specific contributing factors that are primary drivers of error in each case, allowing clinical leaders to better prioritize the relative risk of all clinical factors for which they are responsible. Business leaders can understand the financial risk associated with that relativity.
My belief is that a strong taxonomy transforms complex clinical data into meaningful, actionable insight. We are deeply committed to keeping CRICO’s Clinical Coding Taxonomy rigorous, relevant, and best in class.Mauli Patel, Taxonomy Project Manager, CRICO