To support researchers, authors, and patient safety leaders, Candello makes available a set of data profiles related to some of the highest risk areas for medical malpractice vulnerability.

These data profiles are a product of Candello Solutions by CRICO, which contains more than 460,000 medical malpractice cases. Cases originate from captive and commercial insurers, and include a variety of academic medical centers and community hospitals.

Accessing Our Candello Research Presentations

The following data profiles are available for professional use in research, publications, and presentations. This data, through the application of our proprietary coding taxonomy, provides insights into key patient safety vulnerabilities and informs strategies to mitigate clinical risks.

We ask that you 1) complete the short form on the right with your intended use, and 2) include the required attribution statement provided in the opening slide of each set for every instance of data reproduction. Each pdf slide deck contains a series of charts and summary information including such elements as:

  • responsible service
  • major allegations
  • clinical severity
  • final diagnoses
  • contributing factors
  • topic-specific details


Candello Diagnosis Cases (thumbnail)


Candello Surgery Cases (thumbnail)



Candello OB Cases (thumbnail)



Candello Overview Cases (thumbnail)

Candello Methodology

Candello Solutions contains cases originating from a broad cross section of the US, including large urban centers and rural regions from the east to west coast and north to south.

The CRICO coding taxonomy captures 10–15 clinical and/or system factors on each medmal case.

Organizations contributing cases to the database are categorized by organizational type.

Jurisdictional differences do not impact the clinical environment in which care is delivered. As such, comparison of deeply coded malpractice data allows users to evaluate the clinical factors that drive risks and impact outcomes.

The data presented in Candello are based on Assert Year (or Claim Made Year) rather than Loss Year (or Event Date), to further remove variability based on statutes of limitation.

Cookies help us improve your website experience.
By using our website, you agree to our use of cookies.