AI is also being used to prevent denials within workflows, with Solventum and Sift announcing a machine learning integration that intervenes in coding and prebill validation. The technology is designed to reduce potential denials and ensure timely and accurate payer reimbursement. Meanwhile, Griswold, a large home care franchise, has reduced its caregiver turnover rate using AI for employee engagement. The AI-driven tool predicts caregiver turnover and guides employee retention, reliability, and recruitment.
Key takeaways:
- Artificial intelligence tools are being used in various healthcare sectors, including primary care, home care, and hospital care, to diagnose skin cancer, reduce employee turnover, and provide early warnings about potential mental health episodes.
- Solventum is using AI to improve revenue cycle processes and address denials proactively, in partnership with Ava, an enterprise AI platform.
- Researchers at San Diego State University are developing AI-driven mental health robots that can act as an early warning system for a mental health event, with the help of a $5 million grant from the Brown Foundation.
- A new AI device, DermaSensor, has been authorized by the US Food and Drug Administration for skin cancer detection in primary care, with a 96% sensitivity in detecting skin cancers in one study.