Because Candello cases are clinically coded to the event that led to the claim—instead of just the insurance information—it can correlate clinical system and process failures to financial outcomes (indemnity and expenses) that are accurate to the penny. These attributes make Candello data both evidence-based and actionable.
Data
Candello data is not only large in volume and nationally representative in breadth. It is also the only data that contains both open and closed MPL cases and cases with and without a paid indemnity.
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
Candello utilizes experienced, highly-skilled and routinely audited nurse coders to transform Candello member source material into coded data for analysis and benchmarking. Recently, CRICO and Candello have developed native Artificial Intelligence (AI) tools to support and augment the long-standing clinical coding process when Candello members approve its use.
Linking and Weighting
We’ve introduced linking & 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.
