WorkCompWire, an online news service focused on workers’ comp, featured a Partner Post from Healthesystems, which examines how the growth of complex claims requires workers’ comp programs to detect early warning signs of claim escalation, while also embracing clinical decision tools to better guide claims.
These challenges point to the need to automate data analysis to inform clinical decisions and their targeted interventions, in addition to increasing data collection to provide more informed insights.
This article discusses how smart technologies such as artificial intelligence (AI), natural language processing (NLP), and more, can augment human decision making to strengthen workers’ comp programs.