Results: A total of 174 malpractice cases were reviewed, of which 41 cases were closed with payment. Plastic surgeons were most commonly named (64%, 111/174), followed by general surgeons (30%, 53/174), and surgical oncologists (6%, 10/174). The most common allegation was error in surgical treatment (87%, 152/174), and infection, cosmetic injury, emotional trauma, foreign body, and nosocomial infections represented the top five injury descriptions. On average, indemnity payments were larger for high clinical severity cases. Technical skills, followed by clinical judgment, were the most commonly named contributing factors. The average payment per case was $130,422.

Conclusion: The malpractice cases predominantly involved technical complications related to plastic surgery procedures. Better understanding of the malpractice environment involving surgical procedures performed for breast cancer may provide practical insight to guide initiatives aimed at improving patient outcomes.

Citation for the Full-text Article

Fan B, Pardo J, Yu-Moe CW, Janes M, Falcone B, Valero MG, Serres SK, Emhoff I, James TA. Malpractice cases in breast surgery: An assessment of litigation involving surgeons. Annals of Surgical Oncology.2021 December;28:8109–8115. https://doi.org/10.1245/s10434-021-10236-2



Latest News from CRICO

Get all your medmal and patient safety news here.

    CRICO’s Patient Safety Leadership: A Missing Piece

    News
    Jeffrey Cooper, Professor of Anaesthesia of Harvard Medical School, was inspired to write a letter to the editor of Patient Safety and Quality Healthcare (PSQH); in response to Susan Carr's article about CRICO’s milestone 40th anniversary. Dr. Cooper highlights CRICO’s greatest achievements: its ability to convene clinical leaders from across the Harvard medical community.

    Communication Failures in Medical Malpractice – Lessons Learned From Candello

    News
    This article, co-authored by Mazen Maktabi and CRICO's Gretchen Ruoff for the American Society of Anesthesiologists publication ASA Monitor, examines how analyzing theCandello database of medical malpractice claims enables organizations to glean valuable insight as to the extent and cause of potential patient safety risks.

    Human-Machine Collaborative Optimization via Apprenticeship Scheduling

    News
    This thesis project—Human-Machine Collaborative Optimization via Apprenticeship Scheduling—was co-funded by CRICO and submitted to the Department of Aeronautics and Astronautics at Massachusetts Institute of Technology (MIT).
X
Cookies help us improve your website experience.
By using our website, you agree to our use of cookies.
Confirm