News
Symptoms of Normal Recovery or Complication: The Risk of Postoperative Care
Jun 01, 2013
Although there are many risks of patient harm in the preoperative phase (diagnosis and treatment selection) and during surgery, we found that some of the most dangerous risks exist in the postoperative time. These potential hazards included failure to recognize and treat surgical complications on a timely basis and other problematic care provided during patients’ recovery. The postoperative phase of patient care became the focus of our study.
Read the original full-text article:
Palmisano DJ, Ranum D. Symptoms of normal recovery or complication: The risks of postoperative care. Bulletin of the American College of Surgeons. 2013 Jun 1.
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Closing the Loop on Medical Referrals
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CRICO is collaborating with the National Patient Safety Foundation (NPSF) on a project to identify best practices for managing patient referrals to specialists using electronic health records. The NPSF-CRICO collaboration is a part of CRICO's commitment to understanding and improving systems to support safe health care delivery through analysis of claims in our Comparative Benchmarking System.
CRICO’s Patient Safety Leadership: A Missing Piece
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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
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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).