Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 8 de 8
Filter
1.
Curr Probl Diagn Radiol ; 51(4): 486-490, 2022.
Article in English | MEDLINE | ID: mdl-34565635

ABSTRACT

PURPOSE: To compare non-physician healthcare professional and radiologists' survey responses regarding attitudes and current practices, policies, and procedures related to the follow-up of nonemergent actionable incidental findings (AIF). MATERIALS AND METHODS: The American College of Radiology (ACR) developed a survey with input from a technical expert panel (TEP). Survey items were developed by TEP members, refined by an ACR market research expert, and were examined for face and construct validity. The survey was distributed among ACR membership and various medical professional organizations. Responses from non-physician responders and radiologists were analyzed and compared using descriptive statistics. RESULTS: The analysis included 375 responses, 247 from radiologists and 128 from non-physicians. All respondent groups stated that radiology follow-up recommendations are evidence-based. Both respondent groups indicated that there is up to moderate risk associated with AIF follow-up. Both respondent groups similarly favored that the accountability for communicating AIF lies first with the ordering provider, followed by primary care providers, then the patient, and lastly an automated process that is managed by a staff member and/or the radiologist. All respondent groups indicated that tracking processes were more commonly funded by the healthcare system than through the radiology budget. CONCLUSION: There is alignment between non-physicians and radiologists regarding the implementation of tracking systems that assure completion of radiology follow-up recommendations. Building tracking systems represents an opportunity for multi-disciplinary collaboration to address care transition communication and process gaps.


Subject(s)
Radiologists , Radiology , Attitude , Diagnostic Imaging , Follow-Up Studies , Humans
3.
J Am Coll Radiol ; 18(5): 704-712, 2021 May.
Article in English | MEDLINE | ID: mdl-33444562

ABSTRACT

OBJECTIVE: The Radiology Support, Communication and Alignment Network (R-SCAN) is a quality improvement program through which patients, referring clinicians, and radiologists collaborate to improve imaging appropriateness based on Choosing Wisely recommendations and ACR Appropriateness Criteria. R-SCAN was shown previously to increase the odds of obtaining an appropriate, higher patient or diagnostic value, imaging study. In the current study, we aimed to estimate the potential imaging cost savings associated with R-SCAN use for the Medicare population. MATERIAL AND METHODS: The R-SCAN data set was used to determine the proportion of appropriate and lesser value imaging studies performed, as well as the percent change in the total number of imaging studies performed, before and after an R-SCAN educational intervention. Using a separate CMS data set, we then identified the total number of relevant imaging studies and associated total costs using a 5% sample of Medicare beneficiaries in 2017. We applied R-SCAN proportions to the CMS data set to estimate the potential impact of the R-SCAN interventions across a broader Medicare population. RESULTS: We observed a substantial reduction in the costs associated with lesser value imaging in the R-SCAN cohort, totaling $260,000 over 3.5 months. When extrapolated to the Medicare population, the potential cost reductions associated with the decrease in lesser value imaging totaled $433 million yearly. CONCLUSION: If expanded broadly, R-SCAN interventions can result in substantial savings to the Medicare program.


Subject(s)
Medicare , Radiology , Aged , Communication , Cost Savings , Diagnostic Imaging , Humans , United States
5.
J Am Coll Radiol ; 17(5): 568-573, 2020 May.
Article in English | MEDLINE | ID: mdl-32370997

ABSTRACT

As of January 2020, clinical decision support needs to be implemented across US health systems for advanced diagnostic imaging services. This article reviews the history, importance, and hurdles of clinical decision support and discusses a few pearls and pitfalls regarding its implementation.


Subject(s)
Decision Support Systems, Clinical , Humans , Radiologists
6.
J Am Coll Radiol ; 17(5): 597-605, 2020 May.
Article in English | MEDLINE | ID: mdl-32371000

ABSTRACT

PURPOSE: The aim of this study was to determine whether participation in Radiology Support, Communication and Alignment Network (R-SCAN) results in a reduction of inappropriate imaging in a wide range of real-world clinical environments. METHODS: This quality improvement study used imaging data from 27 US academic and private practices that completed R-SCAN projects between January 25, 2015, and August 8, 2018. Each project consisted of baseline, educational (intervention), and posteducational phases. Baseline and posteducational imaging cases were rated as high, medium, or low value on the basis of validated ACR Appropriateness Criteria®. Four cohorts were generated: a comprehensive cohort that included all eligible practices and three topic-specific cohorts that included practices that completed projects of specific Choosing Wisely topics (pulmonary embolism, adnexal cyst, and low back pain). Changes in the proportion of high-value cases after R-SCAN intervention were assessed for each cohort using generalized estimating equation logistic regression, and changes in the number of low-value cases were analyzed using Poisson regression. RESULTS: Use of R-SCAN in the comprehensive cohort resulted in a greater proportion of high-value imaging cases (from 57% to 79%; odds ratio, 2.69; 95% confidence interval, 1.50-4.86; P = .001) and 345 fewer low-value cases after intervention (incidence rate ratio, 0.45; 95% confidence interval, 0.29-0.70; P < .001). Similar changes in proportion of high-value cases and number of low-value cases were found for the pulmonary embolism, adnexal cyst, and low back pain cohorts. CONCLUSIONS: R-SCAN participation was associated with a reduced likelihood of inappropriate imaging and is thus a promising tool to enhance the quality of patient care and promote wise use of health care resources.


Subject(s)
Radiology , Cohort Studies , Communication , Diagnostic Imaging , Humans , Radiography
8.
J Am Coll Radiol ; 8(6): 422-7, 2011 Jun.
Article in English | MEDLINE | ID: mdl-21636057

ABSTRACT

The ACR's mission statement identifies five pillars of excellence. One of its pillars is research. ACR is recognized by many as supporting one of the premier research endeavors sponsored by a professional medical society of which the ACR Clinical Research Center is the largest component. The center is comprised of four entities: ACRIN(®), RTOG(®), QRRO(®), and ACR Image Metrix™. The Clinical Research Center encompasses personnel with extensive clinical trial expertise, a state-of-the-art IT infrastructure, and an imaging and radiation oncology core laboratory. This research enterprise supports a global network of researchers in the conduct of medical imaging and radiation oncology clinical trials. This paper's focus is on the Clinical Research Center's value to the radiology and radiation oncology professions, to the practices engaged in the clinical research, and to our patients.


Subject(s)
Biomedical Research/organization & administration , Organizational Objectives , Radiology/organization & administration , Societies, Medical/organization & administration , United States
SELECTION OF CITATIONS
SEARCH DETAIL
...