ModMed & Medtronic Collaborate for Effective Colonoscopy AI Documentation

ModMed EHR and practice technology leader collaborated with Medtronic to enhance the documentation of polyp detection using AI capabilities of the GI Genius system by Medtronic.
 
The GI Genius system enables AI-assisted colonoscopies, which have been shown to achieve a 50% reduction in missed colorectal polyps over a standard colonoscopy. The companies intend to interface data from GI Genius into ModMed’s gGastro platform with the expectation of reducing manual effort in documenting procedural metrics captured during the colonoscopy process. 
 
“ModMed’s mission is to place doctors and patients at the center of care through an intelligent, specialty-specific cloud platform,” General Manager of Gastroenterology, ENT & Allergy at ModMed, Sam Cicogna told the press. “Our goal is to ensure that physicians have more time to focus on patients by building efficiency into the documentation process. Providing integration with GI Genius is an essential step towards achieving that goal.”
 
“Through our collaboration with ModMed, we can continue to help gastroenterologists achieve greater efficiency by streamlining workflows and leveraging augmented decision-making, freeing up valuable time for patient care,” said Raj Thomas, Medtronic Endoscopy President. “We are committed to working with industry leaders and focusing on where we can best offer innovation, addressing unmet clinical needs and elevating the standard of care.”
 
“We’ve been a customer of both Medtronic and ModMed for years, which has been beneficial to help address the sharp rise in demand of patients seeking colonoscopies since guidelines for screening for colon cancer changed,” said Dr. Michael Weinstein, CEO at Capital Digestive Care. “By having these two technologies work together, we will see significantly faster reporting and processing times, enabling us to see more patients.”
 
Dr. Jason Sugar, Gastroenterology Team Lead at ModMed, added: “This is a true game changer for physicians… it represents precisely how physicians want AI technologies implemented and it will allow us to focus our energy on thinking about the patient and providing the best care possible.”