Empowering Health Care Providers: A Collaborative Approach to Enhance Financial Performance and Productivity in Clinical Practice.

Background: The combination of inadequate financial training, limited benchmarks, and mindset contribute to many physicians prioritizing revenue below quality, outcomes, and safety. This creates a challenge as hospital administrators aim to motivate clinicians to improve RVU generation and increase revenue. Recent Findings: Creating physician/administrator teams that defines and explores the gap between observed and expected financial performance in parallel with appreciating the physician's practice preferences can create new opportunities for billing. The proposed 3 phase approach emphasizes nonjudgmental communication, education and partnership. The most common and effective opportunities for improvement include billing optimization, scheduling and system infrastructure modifications. Implications for Practice: As reimbursement decrease, balancing revenue generation with physician satisfaction has become paramount. Promoting data drive bidirectional communication can lead to identifying previously unrecognized billing opportunities where change is driven by providers rather than by 1-dimensional institutional goals.

Telemedicine review in neuro-oncology: comparative experiential analysis for Barrow Neurological Institute and Geisinger Health during the 2020 COVID-19 pandemic.

Coronavirus disease 2019 (COVID-19) has grossly affected how we deliver health care and how health care institutions derive value from the care provided. Adapting to new technologies and reimbursement patterns were challenges that had to be met by the institutions while patients struggled with decisions to prioritize concerns and to identify new pathways to care. With the implementation of social distancing practices, telemedicine plays an increasing role in patient care delivery, particularly in the field of neurology. This is of particular concern in our cancer patient population given that these patients are often at increased infectious risk on immunosuppressive therapies and often have mobility limitations. We reviewed telemedicine practices in neurology pre- and post-COVID-19 and evaluated the neuro-oncology clinical practice approaches of 2 large care systems, Barrow Neurological Institute and Geisinger Health. Practice metrics were collected for impact on clinic volumes, institutional recovery techniques, and task force development to address COVID-19 specific issues. Neuro-Oncology divisions reached 67% or more of prepandemic capacity (patient visits and slot utilization) within 3 weeks and returned to 90% or greater capacity within 6 weeks of initial closures due to COVID-19. The 2 health systems rapidly and effectively implemented telehealth practices to recover patient volumes. Although telemedicine will not replace the in-person clinical visit, telemedicine will likely continue to be an integral part of neuro-oncologic care. Telemedicine has potential for expanding access in remote areas and provides a convenient alternative to patients with limited mobility, transportation, or other socioeconomic complexities that otherwise challenge patient visit adherence.

Multimodality 3D Superposition and Automated Whole Brain Tractography: Comprehensive Printing of the Functional Brain.

Whole brain tractography using diffusion tensor imaging (DTI) sequences can be used to map cerebral connectivity; however, this can be time-consuming due to the manual component of image manipulation required, calling for the need for a standardized, automated, and accurate fiber tracking protocol with automatic whole brain tractography (AWBT). Interpreting conventional two-dimensional (2D) images, such as computed tomography (CT) and magnetic resonance imaging (MRI), as an intraoperative three-dimensional (3D) environment is a difficult task with recognized inter-operator variability. Three-dimensional printing in neurosurgery has gained significant traction in the past decade, and as software, equipment, and practices become more refined, trainee education, surgical skills, research endeavors, innovation, patient education, and outcomes via valued care is projected to improve. We describe a novel multimodality 3D superposition (MMTS) technique, which fuses multiple imaging sequences alongside cerebral tractography into one patient-specific 3D printed model. Inferences on cost and improved outcomes fueled by encouraging patient engagement are explored.

Morphometric Predictors of Morbidity after Pancreatectomy.

Pancreatic surgery has historically been associated with high morbidity and mortality. One model that could predict outcomes is the assessment of preoperative morphometrics. The objective of this study was to compare different clinical and morphometric features of patients undergoing pancreatectomy to predict morbidity. This is a retrospective chart review of patients undergoing pancreatectomy from December 2004 to October 2013. Morphometric parameters on preoperative CT scans were measured and patients were grouped to examine their association with postoperative morbidity. A total of 180 patients were included in this study (90 males and 90 females). At the time of diagnosis, patients had an average age of 66.7 years (range = 24-90), and median body mass index of 27.4 kg/m2 (range = 16-58 kg/m2). Sixty-one patients (33.9%) experienced surgical complications. Of the individual morphometric variables examined, sarcopenia was the best predictor of length of stay and surgical complications. On multivariate analysis, there was a strong statistically significant correlation of sarcopenia with surgical complications (odds ratio = 3.524, P = 0.0049). No other morphometric variables predicted morbidity. Sarcopenia is a useful predictor for postoperative morbidity after pancreatectomy. The results of this study suggest that noninvasive preoperative testing can be used to quantify postoperative complications after pancreatic surgery.