Electronic Health Record: efficacy after normalization

Electronic Health Records (EHRs) and the impact of data normalization

While underwriters now access Electronic Health Records (EHRs), either directly from vendors or from Health Information Exchanges (HIEs), more easily, our industry still faces early stages of the journey. We believe data normalization plays a critical role in improving the EHR user experience. However, data normalization done incorrectly, leads to inaccurate or underinformed underwriting decisions, which is the last thing any of us want for our underwriters.

Effective data normalization cannot take place without adherence to healthcare and industry standards. Sure, underwriters' exposure to EHRs has accelerated, but this exposure has often resulted in lower automation efficiency, more manual underwriting and more time spent sifting through complex cases.

Overcoming challenges with EHRs and unlocking potential opportunities

As Electronic Health Records (EHRs) become increasingly more common and beneficial for insurers to create comprehensive profiles of health histories, simplifying automation presents both challenges and opportunities. The end goal is to minimize the time underwriters spend navigating various windows or screens to review detailed and extensive information.

Overcoming challenges with EHRs for streamlined underwriting: Despite the increased use of EHRs, dealing with raw clinical data often involves underwriters spending their valuable time inefficiently. This is due to challenges related to workflows and legacy systems.

Unlocking efficiency by seamlessly integrating data for smarter underwriting: By combining data organization and language technology, our industry has the opportunity to evolve the future of underwriting to make the assessment process fast, consistent, cost-effective and accurate.

We're proud to be an industry leader in the underwriting innovation space as we continue to invest in advancing our underwriting capabilities. Through research and analytics, we aim to improve speed and cost efficiencies for carriers and clients while we help to develop and implement improved data-driven underwriting capabilities.

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