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July 1, 2022 Development of a Taxonomy for Characterising Medical Oncology-related Patient Safety and Quality Incidents: A Novel Approach

Using funding from CRICO, this study describes the development of a comprehensive, validated taxonomy for medical oncology-related incidents.

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June 18, 2022 Trial and Error: Learning From Malpractice Claims in Childhood Surgery

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Integrating Risk Management Data in Quality Improvement Initiatives Within an Academic Neurosurgery Department

  • July 31, 2015

In Research and Publication
Through its partnership with CRICO Strategies, University of California (UC) codes its medical practice liability (MPL) claims using the CRICO coding taxonomy which enables deep analysis and learning. This study demonstrates how analyzing MPL claims, UC was able to identify patient safety vulnerabilities and implement quality improvement initiatives to mitigate those risks.


Object: While malpractice litigation has had many negative impacts on health care delivery systems, information extracted from lawsuits could potentially guide toward venues to improve care. The authors present a comprehensive review of lawsuits within a tertiary academic neurosurgical department and report institutional and departmental strategies to mitigate liability by integrating risk management data with quality improvement initiatives.


Read full text of the article:

McLaughlin N, Garrett MC, Emami L, Foss SK, Klohn JL, Martin NA. Integrating Risk Management Data in Quality Improvement Initiatives within an Academic Neurosurgery Department. Journal of  Neurosurgery. 2015; Jul 31:1-8. [Epub ahead of print] PMID: 26230469