Although predictive technology can better forecast who will need healthcare, health plans fall short in clinical interventions because their medical management is fragmented and inefficient and they lack economic incentives for doctors to participate, concludes a research brief from Forrester Research Inc., Cambridge, Mass. Health plans should invest in data mining, nonetheless, the brief states, because predictive models help them to refine pricing, improve quality and manage cash flow. To make the most of the data they have, Forrester advises insurers to select a knowledge engineering partner such as Ingenix, MEDai, iMcKesson and CareSteps, which offer data mining and analysis. In addition, plans should coordinate data cleanup and integration with HIPPA compliance. Forrester also suggests that insurers pilot Internet-enabled care management technologies to improve access to real-time patient information, automate workflow and track adherence to best practice guidelines.
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Beazley acquires kWh Analytics and Aon names North America CEO, plus more insurtech news.
March 22 -
The integration of AI into insurance frameworks is also creating some legal liabilities that carriers must consider as part of any deployment.
March 22
Decerto -
Across the personal lines space, pricing is expected to stabilize for homeowners, auto, flood and umbrella coverage.
March 19
B.F. Saul Insurance -
Three common mistakes agents make and how to avoid them.
March 19
Darkhorse Insurance Brokers and the Garzella Group -
Fannie Mae and Freddie Mac's single-family updates include some roof coverage options somewhat similar to what's used in one of their other divisions.
March 18 -
The National Council of Insurance Legislators (NCOIL), a group of state legislators concerned with insurance industry regulation, will reconsider a measure that failed in 2025. States have varied regulations or laws governing how insurers may set home policy premiums or drop policyholders based on aerial images of their property.
March 18




