CRICO CRICO home

Recent Coverage

February 16, 2021 Defining Best Practices for Interhospital Transfers

Interhospital transfers (IHT) are important yet recognized as high-risk transitions in care. This study was funded by CRICO to help define the best practice principles for IHTs and identify improvement opportunities.

READ MORE >

February 12, 2021 The MPL Association Appoints Mark Reynolds, CRICO President and CEO, A Board Officers

CRICO President and CEO Mark E. Reynolds has been named as a board member of the Medical Practice Liability Association.

READ MORE >
November 16, 2020 Development and Validation of a Deep Learning Model for Detection of Allergic Reactions Using Safety Event Reports Across Hospitals

This study, funded by CRICO grants, utilized a deep learning algorithm to identify instances of allergic reactions in the free-text electronic narratives of hospital safety reports.

READ MORE >

View All News & Research

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.