Enabling rapid, actionable risk assessment in underwriting
Physician and hospital adoption of Electronic Health Records (EHR) has skyrocketed over the last decade, with office-based adoption up to 78%, from 34%, and Non-federal acute care hospital adoptions up to 96% from 28%. Coupled with new AI-powered enhancement tools like DigitalOwl, ExamOne is helping to drive significant change with the amount of time needed to retrieve, summarize, and review electronic records.
Can this widespread adoption of EHRs be used to your advantage in underwriting? What tools are available to help gather and analyze applicant data in a way that is actionable?
In our upcoming webinar, our panel of experts will discuss how you can gain efficiency in your current workflow, reduce application cycle time, and improve your underwriting decision making with EHR data retrieval, now available with DigitalOwl’s AI powered summaries.
Key topics:
- The value of ExamOne’s comprehensive EHR solution
- The role of artificial intelligence tools like DigitalOwl for the insurance industry
- Connecting the dots with tools for actionable risk assessment decisions
- Traditional APS workflow vs. EHR with APS workflow
- Supporting the accelerated journey through data insights
The EHR adoption trend provides a valuable data source for your automated underwriting workflows, learn how to make it work for you.
Reserve your spot today for this informative webinar.
About ExamOne’s EHR retrievals and summaries:
Utilizing applicant search and physician search, EHR retrievals and summaries offered by ExamOne, a Quest Diagnostics® company, make it easier and quicker to tap into critical information and actionable insights for superior risk assessment and decision-making.
About AI-powered DigitalOwl APS summaries
DigitalOwl’s platform helps to mitigate some of the biggest challenges with medical record reviews, primarily the time it takes to review medical records for expedited decision making. DigitalOwl helps enable data-driven decisions by streamlining underwriting with deduplicated data, in-depth filtering and reducing time it takes to review medical records from hours to minutes.
