Workers’ Compensation
Ca. Workers' Comp. Quarterly 2020, Vol. 33, No. 1
Content
- A Preliminary Assessment of Potential California Workers' Compensation Liability Related to the Coronavirus
- How To Avoid Ten Common Mistakes in Your Uebtf Joinder Petition
- Note from the Editor
- The Covid-19 Pandemic and the Temporary End of Modified Work: An Earnings Capacity Approach
- Wcab Further Defines Medical-Legal Communication and Record
- Workers' Compensation Section 2019-2020 Executive Committee Roster
- Ai and Workers' Comp Claims Administration Is Not As Disruptive As Advertised
AI and Workers’ Comp Claims Administration Is Not As Disruptive As Advertised
Mark Webb Pasadena, California
Workers’ compensation claims administrators are increasingly evaluating and deploying artificial intelligence (AI) and its subsets machine learning (ML) and deep learning (DL) to help reduce claims costs. Generally, in claims administration, AI is designed to accelerate and improve the processing and closing of low-value claims so they do not convert to lost-time claims or, in cases where there is lost time, to keep claims from becoming higher cost PD claims. AI can also assist in medical management by more quickly identifying outcomes relative to approved treatment as well as create analytics by which to measure physician performance.
As the Internet Society stated in its publication Artificial Intelligence and Machine Learning: Policy Paper (November 2017)1:
The Internet Society also pointed out that as it relates to ML: