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N Reed Dunnick

Publications and source records attributed to N Reed Dunnick.

13 recordsLinked to original sources

Estimating the effects of informal radiology resident teaching on radiologist productivity: what is the cost of teaching?

RATIONALE AND OBJECTIVES: One mission of an academic radiology department is to teach. The greatest teaching effort is directed at radiology residents. As clinical work demands increase, informal, non-revenue-generating, teaching may suffer. We sought to determine the economic consequences of teaching. MATERIALS AND METHODS: With the use of a picture archiving and communications system, 6 radiology faculty members independently interpreted and dictated digitally acquired bone and chest radiographs for 1 hour alone and again 10-12 weeks later with a first-year resident. During the second session, the quality of teaching was graded by independent observers. The number of cases, relative value units (RVUs), and reimbursement for each session were calculated. RESULTS: The difference in number of cases dictated working alone (mean, 44.7) and with a first-year resident (mean, 23.5) was significant (P = 0.007). The difference between RVUs generated by faculty alone (mean, 9.0) and with a resident (mean, 4.5) also was significant (P = 0.006), and the difference in dollars billed when working alone (mean, $1558.45) and with a resident (mean, $777.65) was significant (P = 0.007). As teaching quality increased, the number of cases interpreted, dollars billed, and RVUs trended lower. CONCLUSION: Informal resident teaching significantly reduces clinical throughput, reducing examination volume, RVUs, and dollars billed by approximately half.

Bone and Bones↗

Enhancing research in academic radiology departments: recommendations of the 2003 Consensus Conference.

Opportunities for funded radiologic research are greater than ever, and the amount of federal funding coming to academic radiology departments is increasing. Even so, many medical school-based radiology departments have little or no research funding. Accordingly, a consensus panel was convened to discuss ways to enhance research productivity and broaden the base of research strength in as many academic radiology departments as possible. The consensus panel included radiologists who have leadership roles in some of the best-funded research departments, radiologists who direct other funded research programs, and radiologists with related expertise. The goals of the consensus panel were to identify the attributes associated with successful research programs and to develop an action plan for radiology research based on these characteristics.

Academic Medical Centers↗

Enhancing research in academic radiology departments: recommendations of the 2003 Consensus Conference.

Opportunities for funded radiologic research are greater than ever, and the amount of federal funding coming to academic radiology departments is increasing. Even so, many medical school-based radiology departments have little or no research funding. Accordingly, a consensus panel was convened to discuss ways to enhance research productivity and broaden the base of research strength in as many academic radiology departments as possible. The consensus panel included radiologists who have leadership roles in some of the best-funded research departments, radiologists who direct other funded research programs, and radiologists with related expertise. The goals of the consensus panel were to identify the attributes associated with successful research programs and to develop an action plan for radiology research based on these characteristics.

Academic Medical Centers↗

Adrenal masses: characterization with combined unenhanced and delayed enhanced CT.

PURPOSE: To assess the accuracy of a dedicated adrenal computed tomographic (CT) protocol. MATERIALS AND METHODS: One hundred sixty-six adrenal masses were evaluated with a protocol consisting of unenhanced CT, and, for those with attenuation values greater than 10 HU, contrast material-enhanced and delayed enhanced CT. Attenuation values and enhancement washout calculations were obtained. An adenoma was diagnosed if a mass had an attenuation value of 10 HU or less at unenhanced CT or a percentage enhancement washout value of 60% or higher. RESULTS: The final diagnosis was adenoma in 127 masses and non-adenoma in 39. Masses measuring more than 10 HU on unenhanced CT scans were confirmed at biopsy (n = 28) or were examined for stability or change in size at follow-up CT performed at a minimum interval of 6 months (n = 33). Thirty-six (92%) of 39 non-adenomas and 124 (98%) of 127 adenomas were correctly characterized. The sensitivity and specificity of this protocol were 98% and 92%, respectively. This protocol correctly characterized 160 (96%) of 166 masses. CONCLUSION: With a combination of unenhanced and delayed enhanced CT, nearly all adrenal masses can be correctly categorized as adenomas or non-adenomas.

Adenoma↗

Adrenal masses.

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Adenoma↗