News
Machine-Learning System Could Aid Critical Decisions in Sepsis Care
Nov 07, 2018
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.
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A Quality Improvement Approach to Rheumatoid Arthritis Management With Biologic Disease-Modifying Antirheumatic Drugs: Assessing Variability in a Treatment Pathway
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A quality improvement project to improve rheumatoid arthritis management in clinical practice was supported by CRICO funds. The aim of the research was to understand the variability in prescribing practices of rheumatologists and reducing this variability if and when appropriate.
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Pearson Pozner Awarded CRICO Grant to Establish Interprofessional Team Training Program
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CRICO Grants
This CRICO-funded study asked, “What are clinician and patient perspectives and innovative ways to communicate diagnostic uncertainty to patients?”