HL-Insights Medical-full-body-screening-software-on-tablet-and-healthcare-devicesjpg
HealthSeptember 28, 2021

Spotlighting pandemic-related challenges, data-driven solutions for payers

Health plans, already under pressure to transform how they operate and manage the health outcomes of member populations, are facing increasing challenges due to the COVID-19 pandemic. Cheryl Mason, Director of Content and Informatics at Health Language, joined the Managed Care Cost podcast to discuss how delays in routine care and other aspects of the pandemic are affecting payer organizations today. And how health plans can leverage technology innovations like clinical natural language processing (cNLP) to empower key initiatives in population health and beyond.

Many patients chose to avoid care for both acute and chronic conditions due to concerns related to coronavirus transmission, creating gaps in care and gaps in data needed for analytics. Additionally, telehealth use skyrocketed in 2020. While the claims data shows utilization of telehealth is coming down from the beginning of the pandemic, many predict that telehealth is here to stay. Health plans will need the correct reference data to effectively process telehealth claims and understand their populations.

As payers work to address member engagement, risk adjustment, and value-based care, the availability and usability of quality clinical data is of the highest importance to form a comprehensive view of member health. Listen to the podcast to learn more.

Listen to the Managed Care Cost Podcast


Cheryl Mason
Director, Content and Informatics, Health Language
As the Director of Content and Informatics, Cheryl supports the company’s Health Language solutions leading a team of subject matter experts at that specialize in data quality. Together, they consult with clients across the health care spectrum regarding standardized terminologies, data governance, data normalization, and risk mitigation strategies.
Health Language Clinical Natural Language Processing
Automate the review of unstructured data, extract clinically relevant data, and codify extracted data to industry standards.
Back To Top