Health and Wellness Informatics News
Healthcare organizations in the United States make use of AI tools for treating patients. It is to improve the diagnosis of precancerous polyps.
A non-profit organization in California is currently trying to treat cancer patients via AI diagnosis. The regional health system has a record of treating 30,000 and 46,000 in and outpatients. They currently incorporate two acute care hospitals; Newport Beach and Irvine. In addition, they feature 10 health care centers.
Colorectal cancer is the third most common cancer in the United States. It is also the third most common cause of death in the country. There have been continuous attempts to reduce the number of the same. But, the complication of colorectal cancer continues to grow. The researchers have also categorized the factors into two broad streams; community or population health and health systems. There are also quality factors.
Dr. Paul Lee, Chief of Service for the GI Lab at Hoag, said, “We know that a colonoscopy is an essential procedure to help prevent colorectal cancer. Colonoscopies help to prevent colon cancer by identifying precancerous polyps and removing them during the procedure…
It has been reported that these precancerous polyps are sometimes missed by the doctor. We call this the miss rate. There are many factors involved in why these polyps are missed – some are patient-centered, doctor-centered, and technology-centered.”
Many health technology vendors are working to treat the cause. GI Genius, another vendor, is trying to give another perspective. We see colonoscopy in the adenoma detection rate. We can also clearly state that performances targeting the screening in asymptomatic are 25% ADR in mixed populations. However, it is 20% and 30% ADR in women and men, respectively.
The use of AI diagnosis will result in multiple improvements. We will see a focused instrument from a rigid scope to the very use of fiber optics.
GI Genius tends to use AI diagnosis to help healthcare providers in the identification of lesions. It will also make use of the pattern to identify lesions. Hoag bringing the technology to the GI lab will revolutionize the treatment process.
