Expired Study
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Bronx, New York 10467


Purpose:

In recent years, multiple articles have highlighted the increased risk of developing cancer from ionizing radiation. The risk increases with higher radiation doses, and accumulates with repeated scans. Hospitals with computerized physician order entry systems (CPOE) have the unique opportunity to use decision support on radiation safety to influence a physician's ordering practice in real-time. An ideal decision support tool for radiation safety will educate the physician about the dangers of cumulative ionizing radiation, present the patient's image history, and guide the provider to the best modality that meets the patient's diagnostic needs with as little radiation exposure as possible. The design challenge is to create a decision support tool that appropriately protects the investigators patients from overutilization of CAT scans, without inadvertently leading to underutilization of CAT scans or inappropriate utilization of alternative tests. This research protocol proposes to study one such design at a large, academic medical center.


Study summary:

Ever since the 1979 Nobel Prize was awarded to Cormack and Hounsfield for the development of computer assisted tomography (CAT scans, this technology has revolutionized the practice of medicine. CAT scans combine special x-ray equipment with sophisticated computers to produce images of the inside of the body. They are widely used, noninvasive medical tests that help physicians diagnose and treat numerous medical conditions. In 2000, the U.S. Food and Drug Administration (FDA) and the Conference of Radiation Control Program Directors (CRCPD) estimated that approximately 40 million CAT scans are performed annually. In recent years, multiple articles have highlighted the increased risk of developing cancer from ionizing radiation. The risk increases with higher radiation doses, and accumulates with repeated scans. The 2007 American College of Radiology's white paper on radiation dose in medicine by Amis, et al., emphasizes the importance of addressing this issue, and proposes a plan to educate all stakeholders in the principles of radiation safety and appropriate utilization of imaging. In addition, in 2007 the Society for Pediatric Radiology joined forces with the American College of Radiology and several other medical societies to form the Alliance for Radiation Safety in Pediatric Imaging (the Image Gently Alliance). The charge of the Alliance is summarized in its mission statement: "…to raise awareness in the imaging community of the need to adjust radiation dose when imaging children." Hospitals with computerized physician order entry systems (CPOE) have the unique opportunity to use decision support on radiation safety to influence a physician's ordering practice in real-time. CPOE and decision support technology have been successfully used to positively effect physician ordering behavior and improve patient safety in many aspects of patient care, including the ordering of radiology tests. An ideal decision support tool for radiation safety will educate the physician about the dangers of cumulative ionizing radiation, present the patient's image history, and guide the provider to the best modality that meets the patient's diagnostic needs with as little radiation exposure as possible. The design challenge is to create a decision support tool that appropriately protects our patients from overutilization of CAT scans, without inadvertently leading to underutilization of CAT scans or inappropriate utilization of alternative tests. This research protocol proposes to study one such design at a large, academic medical center.


Criteria:

Inclusion Criteria: - All inpatient providers who order a CAT Scan Exclusion Criteria:


NCT ID:

NCT01268085


Primary Contact:

Principal Investigator
Stephen Amis, MD
Montefiore Medical Center


Backup Contact:

N/A


Location Contact:

Bronx, New York 10467
United States



There is no listed contact information for this specific location.

Site Status: N/A


Data Source: ClinicalTrials.gov

Date Processed: August 31, 2019

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