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Recent Coverage

March 16, 2019 Bob Buckley: Get The Facts Straight On Medical Malpractice

Bob Buckley, an attorney in Independence, Missouri, touts the value of using the medical malpractice data and analysis featured in our recently published report, Medical Malpractice in America.

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March 15, 2019 Medical Malpractice Analysis in Radiation Oncology: A Decade of Results From a National Comparative Benchmarking System

Researchers used the CRICO Strategies’ national database of medical liability claims, Comparative Benchmarking System, to analyze the issue of medical errors in radiation oncology (RO).

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March 1, 2019 In Conversation With Susan Haas MD, MSc

Susan Haas, MD, MSc, of Ariadne Labs spoke with Medical Liability Monitor about Ariadne’s initiative which, in partnership and support from CRICO, addresses health care system expansion risks.

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Machine-Learning System Could Aid Critical Decisions in Sepsis Care

  • November 7, 2018

Funded in part by CRICO, this study enabled researchers from Massachusetts General Hospital (MGH) and Massachusetts Institute of Technology (MIT) to develop a predictive model to help guide clinicians in deciding when to give potentially life-saving sepsis treatment to patients being treated in the emergency room (ER).


Research shows that sepsis is one of the most frequent causes of hospital admission and one of the most common causes of death in the intensive care unit (ICU) with the ER most often the first point of  contact with the sepsis patient. This first-ever model, developed by the MGH/MIT team to specifically aid ER clinicians in sepsis care, aims to result in better outcomes for patients.

 

Citation for the Full-text Article

Matheson R. Machine-learning system could aid critical decisions in sepsis care. MIT News. November 7, 2018.