Enabling speedy, actionable threat evaluation in underwriting
Doctor and hospital adoption of Digital Well being Data (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 assessment digital information.
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 manner that’s actionable? Â
In our newest webinar, our panel of specialists mentioned how one can acquire effectivity in your present workflow, scale back software cycle time, and enhance your underwriting resolution making with EHR knowledge retrieval, now out there with DigitalOwl’s AI powered summaries.
Key matters:
- The worth of ExamOne’s complete EHR resolution
- The function of synthetic intelligence instruments like DigitalOwl for the insurance coverage business
- Connecting the dots with instruments for actionable threat evaluation selections
- Conventional APS workflow vs. EHR with APS workflow
- Supporting the accelerated journey via knowledge insights
The EHR adoption pattern offers a beneficial knowledge supply to your automated underwriting workflows, learn to make it be just right for you.
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 provided by ExamOne, a Quest Diagnostics® firm, make it simpler and faster to faucet into vital info and actionable insights for superior threat evaluation and decision-making.
About AI-powered DigitalOwl APS summaries
DigitalOwl’s platform helps to mitigate a number of the largest challenges with medical document critiques, primarily the time it takes to assessment medical information 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 assessment medical information from hours to minutes.
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