"Doctors who follow guidelines for basic procedures generally achieve better outcomes than those who deviate"
https://news.harvard.edu/gazette/story/2022/02/study-finds-significant-variations-in-care-between-physicians/
"AI systems can utilise such clinical data to enhance diagnostic accuracy and enable clinicians to offer patient-centred medical care, while eliminating variations across the country and helping patients in managing their conditions themselves.
Chatbots, as part of AI devices, are natural language processing systems acting as a virtual conversational agent mimicking human interactions.5 While this technology is still in its developmental phase, health chatbots could potentially increase access to healthcare, improve doctor–patient and clinic–patient communication, or help to manage the increasing demand for health services such as via remote testing, medication adherence monitoring or teleconsultations."
https://journals.sagepub.com/doi/full/10.1177/2055207619871808
"It is well-known throughout the business world that variation and a lack of standardization lead to poor quality and higher costs. The same is true in health care, whether the issue is an episode of care around a surgical procedure or long-term management of chronic disease.
Standardized care that reduces clinical variation—defined here as the over-, under-, or unnecessary utilization of healthcare services and resources—has been shown to improve quality and outcomes in the ambulatory, acute, and post-acute settings. Thus, care standardization is a vital aspect of organizational efforts to improve care under value-based contracts."
https://www.hfma.org/operations-management/care-process-redesign/reducing-clinical-variation-to-drive-success-in-value-based-care0/
"Inconsistent care practices adversely affect outcomes, patient safety, performance measures and cost. Care teams rely on advanced clinical practices to reduce care variability and ensure they’re providing clinically effective care."
https://www.wolterskluwer.com/en/expert-insights/reducing-unwarranted-variability-in-care
"Many factors, such as affordability, access, and diversity in the healthcare system, influence care and outcomes, creating challenges that make the task of eliminating health disparities and achieving health equity daunting and elusive. Novel strategies are needed to bring about much needed change in the complex and evolving United States health care system."
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4724388/
"Many Americans assume that the health care they receive is based on strong medical evidence of intervention and treatment effectiveness. However, as suggested by regional analyses, recommended care is often not delivered and insufficient evidence often leads to wide practice variations with little to no health benefit to patients (Fisher et al., 2003b; McGlynn et al., 2003). In addition to negatively impacting health outcomes, practice inconsistencies have dramatic effects on the overall costs of health care—costs which represent the most pressing fiscal challenge to the nation."
https://www.ncbi.nlm.nih.gov/books/NBK52829/
"Artificial Intelligence tools show promise for improving health care. They can help predict health trajectories, recommend treatments, and automate administrative tasks. Challenges associated with these tools include:"
"Artificial Intelligence (AI) tools have shown promise for augmenting patient care in the following two areas:"
https://www.gao.gov/products/gao-21-7sp
"It is generally believed that AI tools will facilitate and enhance human work and not replace the work of physicians and other healthcare staff as such. AI is ready to support healthcare personnel with a variety of tasks from administrative workflow to clinical documentation and patient outreach as well as specialized support such as in image analysis, medical device automation, and patient monitoring."
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325854/
"AI algorithms analyze a vast amount of patient data to assist medical professionals in making more informed decisions about care — outperforming traditional tools like the Modified Early Warning Score (MEWS), commonly used by hospitals to calculate the risk for clinical deterioration in a patient over the next several hours."
"The greatest application of AI in diagnostics so far has been in imaging. “The one that’s nearest and dearest to me is AI-based assistance for lung nodule detection on CT scans, but there are similar stories around breast imaging and other areas, where AI is being used by radiologists to augment their clinical decisions,” said Rojas.
AI’s ability to recognize and process a great amount of both structured and unstructured data has led to nearly 400 Food and Drug Administration approvals of AI algorithms for the radiology field"
"The use of AI has advanced patient safety by evaluating data to produce insights, improve decision-making and optimize health outcomes. Systems that incorporate AI can improve error detection, stratify patients and manage drug delivery."
"According to the Futurescan survey, more than 48% of hospital CEOs and strategy leaders are confident that by 2028, health systems will have the infrastructure in place to make use of AI in augmenting clinical decision-making.
AI is designed to enhance — not replace — traditional care delivery. Thoughtful implementation of AI offers boundless opportunities for clinical care improvements."
https://www.aha.org/aha-center-health-innovation-market-scan/2023-05-09-how-ai-improving-diagnostics-decision-making-and-care
"Artificial intelligence can be, and in some wealthy countries is already being used to improve the speed and accuracy of diagnosis and screening for diseases; to assist with clinical care; strengthen health research and drug development, and support diverse public health interventions, such as disease surveillance, outbreak response, and health systems management.
AI could also empower patients to take greater control of their own health care and better understand their evolving needs. It could also enable resource-poor countries and rural communities, where patients often have restricted access to health-care workers or medical professionals, to bridge gaps in access to health services."
https://www.who.int/news/item/28-06-2021-who-issues-first-global-report-on-ai-in-health-and-six-guiding-principles-for-its-design-and-use
"Artificial Intelligence (AI) has the potential to transform health care and disrupt the field of medicine in significant ways. It has shown remarkable progress in tasks such as diagnostics, data analysis and precision medicine and is already being applied in areas ranging from patient triage to cancer detection."
"AI has the potential to transform health care for the better. It's a powerful tool that can lead to better patient outcomes when complemented with physician expertise. AI can also facilitate scientific discovery and breakthroughs in disease prevention and treatment through vast data analytics.
Integrating AI into routine clinical practice will require careful validation, training and ongoing monitoring to ensure its accuracy, safety and effectiveness in supporting physicians to deliver care."
https://postgraduateeducation.hms.harvard.edu/trends-medicine/how-artificial-intelligence-disrupting-medicine-what-means-physicians
"Most Americans feel “significant discomfort” about the idea of their doctors using artificial intelligence to help manage their health, a new survey finds, but they generally acknowledge AI’s potential to reduce medical mistakes and to eliminate some of the problems doctors may have with racial bias."
https://www.cnn.com/2023/02/22/health/artificial-intelligence-health-care/index.html
"Healthcare is one of the most exciting application domains of artificial intelligence, with transformative potential in areas ranging from medical image analysis to electronic health records-based prediction and precision medicine."
https://web.stanford.edu/class/biods220/index.html