Researchers from the Los Angeles-based University of Southern California developed an artificial intelligence tool to remove uncertainty from medical diagnosis.
Here are four things to know about this software:
- The software tracks the clinician’s decision-making process to provide suggestions for diagnosis and diagnostic tests in the clinician’s interface of the EHR
- It can suggest a cost-effective path to the clinician.
- The suggestions would be in coded formats that only need to be selected instead of relying on free text to type it in, which can cause errors and inconsistencies.
- The software grows automatically and does not require expert updating or correction.
More articles on artificial intelligence:
Machine learning tool can predict severe illness, death from COVID-19 in patients
AI could replicate, compound existing disparities in COVID-19 care, study finds
Study: Machine learning can help detect cancer cells by their acidity
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.