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1.
J Am Coll Radiol ; 21(2): 257-264, 2024 Feb.
Article En | MEDLINE | ID: mdl-37952809

In the ensuing decade, health care will encounter risks and opportunities stemming from a regulatory and policy environment that is increasingly shaped by the climate crisis. The startling multiplication of climate change-related extreme weather events has increased public support for action, creating pressure on policymakers and regulatory agencies to provide solutions. Health care must decarbonize along with other sectors of the economy; therefore, health care organizations should be prepared to respond to climate-related regulations and take advantage of abundant green energy incentives to achieve the largest greenhouse gas emissions reductions possible and capture financial opportunities related to the national green energy transition. Radiology is an energy-intensive specialty; therefore, radiologists can have a powerful voice in efforts to decarbonize their organizations and will be more effective advocates if they have a basic understanding of the broader national and international climate change-related regulatory and policy trends. The necessity to address climate change is ever clearer; we can either help our organizations lead in these efforts, or we can wait for policymakers and health care regulators to dictate our actions.


Climate Change , Hot Temperature , Humans , Policy , Delivery of Health Care , Radiologists
7.
Acad Radiol ; 29 Suppl 2: S181-S190, 2022 02.
Article En | MEDLINE | ID: mdl-34429261

BACKGROUND: Diagnosis of diffuse parenchymal lung diseases (DPLD) on high resolution CT (HRCT) is difficult for non-expert radiologists due to varied presentation for any single disease and overlap in presentation between diseases. RATIONALE AND OBJECTIVES: To evaluate whether a pattern-based training algorithm can improve the ability of non-experts to diagnosis of DPLD. MATERIALS AND METHODS: Five experts (cardiothoracic-trained radiologists), and 25 non-experts (non-cardiothoracic-trained radiologists, radiology residents, and pulmonologists) were each assigned a semi-random subset of cases from a compiled database of DPLD HRCTs. Each reader was asked to create a top three differential for each case. The non-experts were then given a pattern-based training algorithm for identifying DPLDs. Following training, the non-experts were again asked to create a top three differential for each case that they had previously evaluated. Accuracy between groups was compared using Chi-Square analysis. RESULTS: A total of 400 and 1450 studies were read by experts and non-experts, respectively. Experts correctly placed the diagnosis as the first item on the differential versus having the correct diagnosis as one of their top three diagnoses at an overall rate of 48 and 64.3%, respectively. Pre-training, non-experts achieved a correct diagnosis/top three of 32.5 and 49.7%, respectively. Post-training, non-experts demonstrated a correct diagnosis/top three of 41.2 and 65%, a statistically significant increase (p < 0.0001). In addition, post training, there was no difference between non-experts and experts in placing the correct diagnosis within their top three differential. CONCLUSION: The diagnosis of DPLDs by HRCT imaging alone is relatively poor. However, use of a pattern-based teaching algorithm can improve non-expert interpretation and enable non-experts to include the correct diagnosis within their differential diagnoses at a rate comparable to expert cardiothoracic trained radiologists.


Lung Diseases, Interstitial , Algorithms , Diagnosis, Differential , Humans , Lung Diseases, Interstitial/diagnostic imaging , Radiologists , Tomography, X-Ray Computed/methods
8.
J Intensive Care Med ; 31(5): 333-7, 2016 Jun.
Article En | MEDLINE | ID: mdl-24916754

BACKGROUND: The utilization of imaging procedures is under scrutiny due to high costs and radiation exposure to patients and staff associated with some radiologic procedures. Within our institution's intensive care unit (ICU), it is common for patients to undergo chest radiography (CR) not only immediately following tracheostomy tube placement but also on a daily basis, irrespective of the patient's clinical status. We hypothesize that the clinical utility of performing routine daily CR on patients with tracheostomy tubes is low and leads to unnecessary financial cost. METHODS: A retrospective medical chart review was done on 761 CRs performed on 79 ICU patients with tracheostomy from April 2010 to July 2011. We searched the radiology reports of the 761 CRs for the presence of new radiographically detected complications and reviewed medical records to determine which complications were clinically suspected and which radiology reports led to changes in patient management. RESULTS: Of the 761 CRs, only 18 (2.3%) radiographs revealed new complications. All complications were clinically suspected prior to imaging. Only 5 (0.7%) complications resulted in a management change. The most common management changes were a change in antibiotic regimen (0.3%) and ordering of diuretics (0.3%). CONCLUSIONS: Routine daily imaging of patients with tracheostomy in an ICU provides little clinical utility, and CR in this population should be performed selectively based on the patient's clinical status.


Critical Care , Critical Illness/therapy , Intensive Care Units , Radiography, Thoracic , Tracheostomy , Unnecessary Procedures , Cost-Benefit Analysis , Critical Care/economics , Critical Illness/economics , Humans , Intensive Care Units/economics , Postoperative Care , Radiation Exposure , Radiography, Thoracic/adverse effects , Radiography, Thoracic/economics , Radiography, Thoracic/statistics & numerical data , Retrospective Studies , Unnecessary Procedures/economics
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