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Innovative Approach to Evaluating Trainee Operative Skills: Electronic Health Record-Mediated Real-Time Resident Assessment [Meeting Abstract]
Fisher, J C; Lee, S; Savadamuthu, V; Garcia, J; Stellakis, V; Ude-Welcome, A; Berman, R S; Pachter, H L
Introduction: Numerous barriers prevent surgical faculty from leveraging existing evaluation systems to assess resident operative skill. Training programs disproportionately rely on lengthy, end-of-rotation assessments which are inconsistently completed, lack specifics pertaining to operative technique, and are subject to recall bias. Existing solutions for procedure-based evaluations require trainees to proactively seek out faculty - an unreliable and socially-awkward process. We designed a novel tool to improve procedural assessment efficacy by leveraging the electronic health record (EHR) to trigger questionnaires and link assessments to specific patient encounters using a mobile application that overcomes existing obstacles to completing operative skill assessments.
Method(s): The real-time resident assessment (RETRA) tool was deployed across an academic surgical department in August 2018. The "out-of-operating room (OR)" EHR event triggered push notifications to faculty smartphones, launching a survey with questions from the American Board of Surgery Operative Performance Rating System. We compared assessment volume, compliance, and dashboard usability around the implementation of RETRA.
Result(s): Comparing 5-month intervals before and after RETRA deployment, we observed increased volume of procedural assessments and improved faculty compliance. Additionally, dashboard interfaces of cumulative RETRA data offered improved user experiences over previous systems, as measured by an industry-standard usability scale.
Conclusion(s): RETRA represents a novel approach to automating assessment of resident operative performance, overcomes existing barriers, and increases volume of technical performance data. While some features of RETRA overlap with previously described electronic assessment applications, we believe this represents a first-in-kind iteration that combines a mobile interface, automated EHR-mediated triggers, and preserved linkage between clinical data and resident assessments.
Copyright
EMBASE:2002913012
ISSN: 1879-1190
CID: 4120612
Towards automated melanoma detection with deep learning: Data purification and augmentation
Chapter by: Bisla, Devansh; Choromanska, Anna; Berman, Russell S.; Stein, Jennifer A.; Polsky, David
in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops by
[S.l.] : IEEE Computer Societyhelp@computer.org, 2019
pp. 2720-2728
ISBN: 9781728125060
CID: 4421152
Impact of initial stage on metastatic melanoma survival
Wilson, Melissa A; Zhong, Judy; Rosenbaum, Brooke E; Utter, Kierstin; Moran, Una; Darvishian, Farbod; Polsky, David; Berman, Russell S; Shapiro, Richard L; Pavlick, Anna C; Osman, Iman
Patients diagnosed with metastatic melanoma have varied clinical courses, even in patients with similar disease characteristics. We examine the impact of initial stage of melanoma diagnosis, BRAF status of primary melanoma, and receiving adjuvant therapy on postmetastatic overall survival (pmOS). We studied melanoma patients presenting to Perlmutter Cancer Center at New York University and prospectively enrolled in New York University melanoma biospecimen database and followed up on protocol-driven schedule. Patients were stratified by stage at initial melanoma diagnosis as per AJCC 7th ed. guidelines. pmOS was determined using the Kaplan-Meier method and Cox's proportional hazards models were used to assess hazard ratios (HRs). Three hundred and four out of 3204 patients developed metastatic disease over the time of follow-up (median follow-up 2.2 years, range: 0.08-35.2 years). Patients diagnosed with stage I (n=96) melanoma had longer pmOS (29.5 months) than those diagnosed with stage II (n=99, pmOS 14.9 months) or stage III (n=109, pmOS 15.1 months) melanoma (P=0.036). Initial stage of diagnosis remained significant in multivariate analysis when controlling for lactate dehydrogenase and site of metastases [primary diagnosis stage II (HR 1.44, P=0.046), stage III (HR 1.5, P=0.019)]. Adjuvant treatment was associated with better survival but BRAF mutation status did not show an association. Our data challenge the general assumption that primary melanomas converge upon diagnosis of metastatic disease and behave uniformly. Primary stage of melanoma at the time of diagnosis may be prognostic of outcome, similar to lactate dehydrogenase and metastatic disease sites.
PMID: 31026246
ISSN: 1473-5636
CID: 3821792
"I Cannot Take This Any More!": Preparing Interns to Identify and Help a Struggling Colleague
Zabar, Sondra; Hanley, Kathleen; Horlick, Margaret; Cocks, Patrick; Altshuler, Lisa; Watsula-Morley, Amanda; Berman, Russell; Hochberg, Mark; Phillips, Donna; Kalet, Adina; Gillespie, Colleen
BACKGROUND:Few programs train residents in recognizing and responding to distressed colleagues at risk for suicide. AIM/OBJECTIVE:To assess interns' ability to identify a struggling colleague, describe resources, and recognize that physicians can and should help colleagues in trouble. SETTING/METHODS:Residency programs at an academic medical center. PARTICIPANTS/METHODS:One hundred forty-five interns. PROGRAM DESIGN/UNASSIGNED:An OSCE case was designed to give interns practice and feedback on their skills in recognizing a colleague in distress and recommending the appropriate course of action. Embedded in a patient "sign-out" case, standardized health professionals (SHP) portrayed a resident with depressed mood and an underlying drinking problem. The SHP assessed intern skills in assessing symptoms and directing the resident to seek help. PROGRAM EVALUATION/RESULTS:Interns appreciated the opportunity to practice addressing this situation. Debriefing the case led to productive conversations between faculty and residents on available resources. Interns' skills require further development: while 60% of interns asked about their colleague's emotional state, only one-third screened for depression and just under half explored suicidal ideation. Only 32% directed the colleague to specific resources for his depression (higher among those that checked his emotional state, 54%, or screened for depression, 80%). DISCUSSION/CONCLUSIONS:This OSCE case identified varying intern skill levels for identifying and assessing a struggling colleague while also providing experiential learning and supporting a culture of addressing peer wellness.
PMID: 30993628
ISSN: 1525-1497
CID: 3810532
A Deep Learning Approach for Rapid Mutational Screening in Melanoma [PrePrint]
Kim, Randie H; Nomikou, Sofia; Dawood, Zarmeena; Jour, George; Donnelly, Douglas; Moran, Una; Weber, Jeffrey S; Razavian, Narges; Snuderl, Matija; Shapiro, Richard; Berman, Russell S; Coudray, Nicloas; Osman, Iman; Tsirigos, Aristotelis
ORIGINAL:0014818
ISSN: 2692-8205
CID: 4662142
Completion Node Dissection for Sentinel Node-Positive Melanoma: Can a Systematic Review Bring One Discussion to a Close While Leaving the Broader Conversation Still Open? [Editorial]
Berman, Russell S; Gershenwald, Jeffrey E
PMID: 30737667
ISSN: 1534-4681
CID: 3632532
Primary Melanoma Histologic Subtype: Impact on Survival and Response to Therapy
Lattanzi, Michael; Lee, Yesung; Simpson, Danny; Moran, Una; Darvishian, Farbod; Kim, Randie H; Hernando, Eva; Polsky, David; Hanniford, Doug; Shapiro, Richard; Berman, Russell; Pavlick, Anna C; Wilson, Melissa A; Kirchhoff, Tomas; Weber, Jeffrey S; Zhong, Judy; Osman, Iman
Background/UNASSIGNED:Two primary histologic subtypes, superficial spreading melanoma (SSM) and nodular melanoma (NM), comprise the majority of all cutaneous melanomas. NM is associated with worse outcomes, which have been attributed to increased thickness at presentation, and it is widely expected that NM and SSM would exhibit similar behavior once metastasized. Herein, we tested the hypothesis that primary histologic subtype is an independent predictor of survival and may impact response to treatment in the metastatic setting. Methods/UNASSIGNED:We examined the most recent Surveillance, Epidemiology, and End Results (SEER) cohort (n = 118 508) and the New York University (NYU) cohort (n = 1621) with available protocol-driven follow-up. Outcomes specified by primary histology were studied in both the primary and metastatic settings with respect to BRAF-targeted therapy and immunotherapy. We characterized known driver mutations and examined a 140-gene panel in a subset of NM and SSM cases using next-generation sequencing. All statistical tests were two-sided. Results/UNASSIGNED:NM was an independent risk factor for death in both the SEER (hazard ratio [HR] = 1.55, 95% confidence interval [CI] = 1.41 to 1.70, P < .001) and NYU (HR = 1.47, 95% CI = 1.05, 2.07, P = .03) cohorts, controlling for thickness, ulceration, stage, and other variables. In the metastatic setting, NM remained an independent risk factor for death upon treatment with BRAF-targeted therapy (HR = 3.33, 95% CI = 1.06 to 10.47, P = .04) but showed no statistically significant difference with immune checkpoint inhibition. NM was associated with a higher rate of NRAS mutation (P < .001), and high-throughput sequencing revealed NM-specific genomic alterations in NOTCH4, ANK3, and ZNF560, which were independently validated. Conclusions/UNASSIGNED:Our data reveal distinct clinical and biological differences between NM and SSM that support revisiting the prognostic and predictive impact of primary histology subtype in the management of cutaneous melanoma.
PMID: 29912415
ISSN: 1460-2105
CID: 3158042
A Quest for Optimization of Postoperative Triage After Major Surgery
Wang, David; Carrano, Francesco M; Fisichella, P Marco; Desiato, Vincenzo; Newman, Elliot; Berman, Russell; Pachter, H Leon; Melis, Marcovalerio
INTRODUCTION/BACKGROUND:Innovative strategies to reduce costs while maintaining patient satisfaction and improving delivery of care are greatly needed in the setting of rapidly rising health care expenditure. Intensive care units (ICUs) represent a significant proportion of health care costs due to their high resources utilization. Currently, the decision to admit a patient to the ICU lacks standardization because of the lack of evidence-based admission criteria. The objective of our research is to develop a prediction model that can help the physician in the clinical decision-making of postoperative triage. MATERIALS AND METHODS/METHODS:Our group identified a list of index events that commonly grants admission to the ICU independently of the hospital system. We analyzed correlation among 200 quantitative and semiquantitative variables for each patient in the study using a decision tree modeling (DTM). In addition, we validated the DTM against explanatory models, such as bivariate analysis, multiple logistic regression, and least absolute shrinkage and selection operator. RESULTS:Unlike explanatory modeling, DTM has several unique strengths: tree models are easy to interpret, the analysis can examine hundreds of variables at once, and offer insight into variable relative importance. In a retrospective analysis, we found that DTM was more accurate at predicting need for intensive care compared with current clinical practice. DISCUSSION/CONCLUSIONS:DTM and predictive modeling may enhance postoperative triage decision-making. Future areas of research include larger retrospective analyses and prospective observational studies that can lead to an improved clinical practice and better resources utilization.
PMID: 30412455
ISSN: 1557-9034
CID: 3425122
MRI-Based Apparent Diffusion Coefficient for Predicting Pathologic Response of Rectal Cancer After Neoadjuvant Therapy: Systematic Review and Meta-Analysis
Amodeo, Salvatore; Rosman, Alan S; Desiato, Vincenzo; Hindman, Nicole M; Newman, Elliot; Berman, Russell; Pachter, H Leon; Melis, Marcovalerio
OBJECTIVE:The purpose of this study was to assess the use of apparent diffusion coefficient (ADC) during DWI for predicting complete pathologic response of rectal cancer after neoadjuvant therapy. MATERIALS AND METHODS/METHODS:A systematic review of available literature was conducted to retrieve studies focused on the identification of complete pathologic response of locally advanced rectal cancer after neoadjuvant chemoradiation, through the assessment of ADC evaluated before, after, or both before and after treatment, as well as in terms of the difference between pretreatment and posttreatment ADC. Pooled mean pretreatment ADC, posttreatment ADC, and Δ-ADC (calculated as posttreatment ADC minus pretreatment ADC divided by pretreatment ADC and multiplied by 100) in complete responders versus incomplete responders were calculated. For each parameter, we also pooled sensitivity and specificity and calculated the area under the summary ROC curve. RESULTS:/s, in complete and incomplete responders, respectively (p = 0.00001). The Δ-ADC percentages were also significantly higher in complete responders than in incomplete responders (59.7% vs 29.7%, respectively, p = 0.016). Pooled sensitivity, specificity, and AUC were 0.743, 0.755, and 0.841 for pretreatment ADC; 0.800, 0.737, and 0.782 for posttreatment ADC; and 0.832, 0.806, and 0.895 for Δ-ADC. CONCLUSION/CONCLUSIONS:Use of ADC during DWI is a promising technique for assessment of results of neoadjuvant treatment of rectal cancer.
PMID: 30240291
ISSN: 1546-3141
CID: 3300942
In Reply: Alternative Ways to Study Global Variation in Cancer-Related Research Activity [Letter]
Are, Chandrakanth; Wyld, L; Berman, Russell S; Audisio, Riccardo A
PMID: 29541906
ISSN: 1534-4681
CID: 2994252