Partners Healthcare System in Boston has boosted CT contrast safety and saved money through a unique program that integrates contrast policies into the six-hospital system’s electronic medical records system, according to a new report.
Partners Healthcare System in Boston has boosted CT contrast safety and saved money through a unique program that integrates contrast policies into the six-hospital system's electronic medical records system, according to a new report.
"This is a perfect example of a way that the EMR can be used to really improve patient care, patient safety, and hospital efficiencies," said Partner's radiology administrative director Kathryn McCullough.
The new system is the result of a seven-year-long collaboration between McCullough, Dr. G. Scott Gazelle, director of the Institute of Technology Assessment at Massachusetts General Hospital, and Prerna Kahlon, director of quality measurement and improvement at Children's Hospital Boston. They joined forces in 2003 to assess contrast media administration guidelines at the system's six hospitals. They also collected data on the many screening procedures used to identify patients at risk for contrast reactions.
The investigators discovered wide variations in CT contrast policies and procedures across the system. Although five of the six hospitals used some form of screening to spot at-risk patients, methods varied from institution to institution. None of the hospitals consistently followed its own contrast media administration guidelines, and only three followed the American College of Radiology contrast reaction's classification system. In addition, none of the hospitals' radiology departments were able to record or retrieve CT contrast reaction information on the system's EMR. The findings were published in the August Journal of the American College of Radiology (2009;6:562-566).
"Our team determined that we could improve patient safety by identifying best practices and standardizing our policies and procedures around CT contrast media administration," McCullough told Diagnostic Imaging.
The Partners CT Contrast Media Team developed a standard code for contrast media administration for all hospitals plus a patient questionnaire and adverse reaction form. They then designed a process to enable documenting and communicating this information through the EMR.
While improving patient safety, the investigators also found that the initiative has improved efficiency by providing valuable information to radiologists, technologists, and nurses well in advance of a patient's procedure. This helps identify patients with a history of prior contrast reactions and plan accordingly, McCullough said.
"This reduces the need for cancellations and delays, and consequently saves time and money," she said.
McCullough, Gazelle, and Kahlon will next try to make contrast reaction data stored in the system's EMR automatically available to referring physicians at the time they use Partner's computerized order entry system. The Contrast Media Team has already started incorporating data about contrast media reactions from other imaging modalities into the system, McCullough said.
"We are tracking MR contrast media reactions both in our data dashboard as well as electronically in the EMR," she said.
Photon-Counting Computed Tomography: Eleven Takeaways from a New Literature Review
May 27th 2025In a review of 155 studies, researchers examined the capabilities of photon-counting computed tomography (PCCT) for enhanced accuracy, tissue characterization, artifact reduction and reduced radiation dosing across thoracic, abdominal, and cardiothoracic imaging applications.
Can AI Predict Future Lung Cancer Risk from a Single CT Scan?
May 19th 2025In never-smokers, deep learning assessment of single baseline low-dose computed tomography (CT) scans demonstrated a 79 percent AUC for predicting lung cancer up to six years later, according to new research presented today at the American Thoracic Society (ATS) 2025 International Conference.
Can Emerging AI Software Offer Detection of CAD on CCTA on Par with Radiologists?
May 14th 2025In a study involving over 1,000 patients who had coronary computed tomography angiography (CCTA) exams, AI software demonstrated a 90 percent AUC for assessments of cases > CAD-RADS 3 and 4A and had a 98 percent NPV for obstructive coronary artery disease.