About 90% of annual health care expenses worth $ 4.1 trillion are allocated to the treatment and treatment of chronic diseases.1 These diseases are a significant burden on the healthcare providers, which is about 74% of all deaths around the world.2 The global deficiency of 10 million health care workers was anticipated until 2030, this burden connects.3
To alleviate these challenges, screening and early detection can play a key role in reducing care costs for these diseases and improving patients’ results. However, current programs have low compliance; Less than 70% of people aged 50-75 receive screening of colorectal cancer in the USA4 And age -related guidelines do not always correspond to the risk; According to Aamir Ali, MD, a gastroenterologist and co -director clinical trials at Capital Digestive Care (CDC), colorectal cancer indicators increased rapidly in people under 45 years – he added.
How Ai improves the identification of a threatened patient and improves the quality of care
Algorithms based on artificial intelligence (AI) can facilitate provide a textbook and raise clinical decisions. These algorithms analyze data to find endangered patients even beyond the recommended guidelines. Ali said that when a non -invasive tool for disturbing the risk of CDC, he identifies high -risk patients, their screening procedures are accelerated.
AI -based solutions can also compensate for different levels of quality in colonoscopy procedures. CDC uses AI tools to detect possible adenomas (pre -cancer polyps), emphasizing these areas to facilitate endoscopists in their further study. The results of this program indicate that the agent detection indicators have increased and the variability among endoscopists has decreased.
Anwar Jebran, MD, primary care doctor and medical director for health computer science at OAK Street Health, said that his organization uses algorithms based on artificial intelligence to detect chronic conditions, such as stagnary heart failure, COD and diabetes using health signals from medical records.* These are factors of effort in the social conditions of patients’ health in order to find the needs of patients that may facilitate community health employees. Such facilitate includes conducting patients by planning research and even organizing transport. “Machine learning helps us to move our resources in appropriate cases,” he said.
The best practices of building leadership and support for clinicists of AI tools
Matt Prime, MD, International Business Leader for Support and Algorithms of Clinical Decision in Roche, recommended organizations that want to implement AI -based screening programs for a four -time purpose: better results, lower costs and improved experiences for patients and patients and clinicians . “Roche is consistently showing specialist knowledge in the integration of new technologies with clinical practice and effectively developing products that gain regulatory consent,” he noted. To support this mission, Roche deals with the creation of creative digital health tools and supporting trust in their employ among clinicists.
According to Ali, using the organization’s own data may clearly transfer the value of AI screening tools to clinicians. “It’s one thing to hear it throughout the country, [more than] 30% of people do not comply with colorectal cancer screening, “he added. “It’s completely another hear that 25% [one] Doctor patients do not follow. This is more influential when the data is local. “
Jebran said that leadership support is necessary for the introduction of disease algorithms, as well as clearly transferring the credibility of algorithms and how they are used to clinicians and patients. “We are at the inflection point in terms of innovation,” he concluded. “For us, [leveraging AI tools] It’s the future. Investing in them is great and will only be better. “
Reference
- American control and disease prevention centers. On July 12, 2024, speedy facts: health costs and economic chronic conditions. https://www.cdc.gov/chronic-disease/data-research/facts-stats/.
- World Health Organization. On December 23, 2024, unchanging diseases: mortality. https://www.who.intata/gho/data/themes/topic-details/gho/ncd-mortality.
- World Health Organization. Health workforce. https://www.who.int/health-topics/health-workforce#tab=tab_1.
- National table of colorectal cancer. Colorectal cancer is a solemn problem of public health. https://nccrt.org/our-impact/data-and-progress/.