Healthcare Diversity, Equity, and Inclusion as Seen Through the AI Lens
The use of artificial intelligence (AI) in the healthcare space has proven beneficial in many ways. AI has been used in the early detection of cancer, to manage scheduling and hospital efficiency, and as a way to foster equity in healthcare.
Finding better ways to support underserved communities, addressing healthcare disparities, and ensuring equitable care is available to all patients is a priority in today’s healthcare environment. Research from HIMSS and Accenture shows that 93% of United States healthcare executives believe that health equity initiatives are important, and 89% say that these types of initiatives are part of their core business strategy. Many of these initiatives involve the use of AI as a health equity tool. This week’s Domain Knowledge explores ways AI is being used to drive health equity.
Looking outside of the healthcare industry and partnering with private technology companies is a way to bring innovation to healthcare. 3 Ways Artificial Intelligence Can be Used to Improve Healthcare offers insights as to ways AI can help us bridge this health equity gap.
Oncology is at the forefront of advances in the use of artificial intelligence, leveraging the use of imaging AI in the early detection of cancer. A recent NIH-published scoping review of relevant literature addresses the question, ‘What are the current and potential impacts of AI technologies on health equity in oncology?’ In the study, articles were analyzed qualitatively for themes pertaining to the influence of AI on health equity in oncology.
Learning Health Sciences Collaboratory “Health Equity Reviews for AI in Health and Medicine” has Kadija Ferryman, Ph.D., Assistant Professor at John Hopkins Bloomberg School of Public Health, discussing AI as a tool to address healthcare inequities. In the video, she addresses why we should care about AI and health equity, regulatory issues, health policy and regulations, and challenges and opportunities in using AI to achieve health equity.
That’s a wrap for this week’s review of news and happenings in the healthcare AI space. In closing, I’ll leave you with an invitation to learn more about the benefits of using an AI Hub to manage multiple applications across your clinical needs and offer you a personal demo of Ferrum’s platform and growing AI catalog.
If you have AI tips, suggestions, or resources you’d like to share, leave us a note below, and please feel free to suggest topics you would like to see covered in future posts.