Medscape surveyed more than 4100 female physicians on parameters such as incentive bonus, income, working hours, challenges, and job satisfaction.
Author: Praveen Suthrum
Inadequate staffing is one of the biggest issues facing gastroenterology, according to Lawrence Schiller, MD, program director of the gastroenterology fellowship at Baylor University Medical Center in Dallas. Dr. Schiller joined Becker’s ASC Review to discuss how staffing shortages and inadequate workforces will strain gastroenterology in years to come.
The Gastrointestinal Surgery Excellence Award™ recognizes hospitals that deliver superior patient outcomes in bowel obstruction treatment, colorectal surgeries, gallbladder removal, and upper gastrointestinal surgery.
In a data driven world, it’ll become acutely obvious that our system is broken in terms of racial disparity. The drugs we have don’t work for all demographics. GI physician community is quite imbalanced in terms of race. Patients and future physicians will gravitate toward a more inclusive medical practice.It’s already apparent that social determinants of health (SDH) influence health outcomes. Whether we recognize it or not, diversity and inclusion affects all of gastroenterology. It’ll affect the future of GI. It’ll affect private practice GI — for sure.
Eric Avezzano, MD. Bergen Medical Associates (Emerson, N.J.). Dr. Avezzano earned his medical degree from Stony Brook (N.Y.) University Renaissance School of Medicine. He completed his residency at George Washington University in Washington, D.C., and his fellowship at Georgetown University in Washington, D.C. He is a founding member and the medical director of the Endoscopy Center of Bergen County in Paramus, N.J. Edgar Bigornia, MD. Allied Digestive Health (West Long Branch, N.J.). Dr. Bigornia earned his medical degree from SUNY Downstate Health Sciences University in New York City. He completed his residency at Albert Einstein College of Medicine in New…
A report based on a survey of more than 1,500 residents across 29 specialities on how COVID-19 has changed them personally and professionally, future hopes and fears.
Cancer Treatment Centers of America® (CTCA) Phoenix is the first hospital in the western half of the U.S. and the first hospital in Arizona to utilize GI Genius – a powerful ally in the fight against colorectal cancer that employs artificial intelligence (AI) to help physicians detect polyps.The GI Genius module uses advanced AI software to highlight suspicious polyps with a visual marker in real time—serving as the gastroenterologist’s ever-vigilant second observer with a sensitivity rate per lesion of 99.7%.1 Studies have shown that AI-assisted colonoscopy can increase polyp detection rates, and every 1% increase in adenoma detection rate reduces…
Each year, Digestive Disease Week® (DDW) brings the gastrointestinal (GI) community together to exchange knowledge, formulate ideas and uncover new ways to improve the lives of those living with digestive diseases. Gastroenterologists, researchers, and other industry professionals gathered in San Diego and virtually for DDW2022® to share best practices, ground-breaking research, and industry expertise.
Inflammatory bowel diseases (IBD) manifest not only in the gastrointestinal (GI) tract, but also affect joints, skin, eyes, liver, lung, and pancreas. Up to half of patients with IBD have extraintestinal manifestations (EIMs) of IBD. Therapies for intestinal inflammation are not sufficient to treat EIMs such as anterior uveitis, ankylosing spondylitis, and primary sclerosing cholangitis (PSC), which usually occur independent of disease flares. In the October issue of Gastroenterology, Gerhard Rogler et al review the epidemiology, pathophysiology, clinical presentation, and treatment of EIMs in patients with IBD.
AI’s so-called black box refers to the fact that much of the underlying technology behind machine learning-enhanced algorithms is probability/statistics without a human readable explanation. Oftentimes that’s the case because the advanced math or the data science behind the algorithms is too complex for the average user to understand without additional training. Several stakeholders in digital health maintain, however, that this lack of understanding isn’t that important. They argue that as long as an algorithm generates actionable insights, most clinicians don’t really care about what’s “under the hood.” Is that reasoning sound?