Enabling speedy, actionable danger evaluation in underwriting
Doctor and hospital adoption of Digital Well being Information (EHR) has skyrocketed over the past decade, with office-based adoption as much as 78%, from 34%, and Non-federal acute care hospital adoptions as much as 96% from 28%. Coupled with new AI-powered enhancement instruments like DigitalOwl, ExamOne helps to drive important change with the period of time wanted to retrieve, summarize, and evaluation digital data.
Can this widespread adoption of EHRs be used to your benefit in underwriting? What instruments can be found to assist collect and analyze applicant knowledge in a means that’s actionable?
In our newest webinar, our panel of consultants mentioned how one can acquire effectivity in your present workflow, cut back utility cycle time, and enhance your underwriting resolution making with EHR knowledge retrieval, now accessible with DigitalOwl’s AI powered summaries.
Key matters:
- The worth of ExamOne’s complete EHR answer
- The position of synthetic intelligence instruments like DigitalOwl for the insurance coverage business
- Connecting the dots with instruments for actionable danger evaluation selections
- Conventional APS workflow vs. EHR with APS workflow
- Supporting the accelerated journey by knowledge insights
The EHR adoption pattern gives a invaluable knowledge supply in your automated underwriting workflows, discover ways to make it give you the results you want.
Watch the On-Demand Video for this informative webinar.
About ExamOne’s EHR retrievals and summaries:
Using applicant search and doctor search, EHR retrievals and summaries supplied by ExamOne, a Quest Diagnostics® firm, make it simpler and faster to faucet into essential info and actionable insights for superior danger evaluation and decision-making.
About AI-powered DigitalOwl APS summaries
DigitalOwl’s platform helps to mitigate a number of the greatest challenges with medical file critiques, primarily the time it takes to evaluation medical data for expedited resolution making. DigitalOwl helps allow data-driven selections by streamlining underwriting with deduplicated knowledge, in-depth filtering and lowering time it takes to evaluation medical data from hours to minutes.
