However, the use of AI in healthcare is being implemented cautiously due to concerns about accuracy and privacy. AI can be biased if trained on incomplete data and is prone to making up information. Despite these concerns, AI tools are emerging to help healthcare professionals with tasks such as documenting discussions with patients. Amazon Web Services, for instance, has launched AWS HealthScribe to help medical employees document their interactions with patients.
Key takeaways:
- Healthcare institutions are using AI to speed up data-heavy processes such as checking if a patient's insurance covers a new medication, test, or procedure. For instance, Humana's customer-service agents use an AI-driven tool called Automation Co-Pilot to retrieve insurance and other customer information.
- AI automation can significantly reduce the time spent on administrative tasks. Humana estimated that automating some of its processes helped save 684,000 hours a year that workers spent dealing with documents.
- Despite the benefits, healthcare organizations are implementing AI cautiously due to concerns about accuracy, privacy, and the potential for AI to generate biased or inaccurate information.
- New AI tools are also emerging to help individual healthcare professionals, such as doctors, with tasks like documenting discussions with patients. This could potentially free up more time for face-to-face interactions between doctors and patients.