BHI's COVID-19 Analytics
TIMELY, ACTIONABLE POPULATION INSIGHTS FOR HEALTHCARE LEADERS
Robust data analytics and clinical expertise to guide decision-making
With the pandemic, every stakeholder is facing new uncertainties. BHI is committed to providing data-driven insights that help health plans, employers, providers, and members understand the economic and public policy impacts of COVID-19.
COVID-19 Descriptive Analytics
We leverage clinical informatics and data science to describe and predict the impacts of COVID-19. Our descriptive analytics have revealed noteworthy data trends in preventative evaluation and management (E&M) services and telemedicine.
Whyzen Analytics COVID-19 Reporting
Whyzen Analytics was named a quarterfinalist in the 2020 UCSF Digital Health Awards for its excellence in COVID-19 tracking and reporting. These new tools within our account-level analytics and reporting solution help plans, employers, and brokers adjust healthcare benefits, interventions, and support programs to better serve high-risk populations.
BHI's Long-Term COVID-19 Research
We are working with some of the nation's leading health economists and researchers to study the economic, social, and public health implications of COVID-19.
Need help during this time of uncertainty?
BHI COVID-19 Descriptive Analytics
The explosive growth of telehealth has been discussed extensively in the past year. To provide even greater insights into the nature of this COVID-19 driven-trend, BHI studied our conformed national medical claims data set, comprised of more than 22 billion claims that represent 217 million unique lives, to unearth different telehealth insights.
BHI's most recent data brief (released March 2021) examines rural, urban, and gender-related telehealth utilization differences among commercially insured individuals. One finding is summarized here. Access the full study using the button below.
Differences in Telehealth Utilization By Gender
As more 2020 claims data becomes available, BHI will continue to assess the impact of COVID-19 on healthcare services such as telehealth. Examining these trends with the inclusion of data from the second wave of the pandemic will help to quantify the longer-term, lasting impact on population health and healthcare service delivery in the U.S.
Whyzen Employer Reporting and AnalyticsAccount-level COVID-19 discovery for health plans, employers and brokers
Identifying an Account’s Most At-Risk Populations
Whyzen Analytics is able to identify and locate the member populations who are most at risk of complications by:
- Number of comorbidities
- ZIP code
Users can leverage these findings to better allocate care management resources for targeted and impactful interventions.
Identifying Conditions that Lead to Complications
Understanding Underlying Comorbidities
Visualizing Data to Make the Complex Understandable
Projecting Costs and Identifying Opportunities
Watch the Webinar
Mary Henderson, BHI senior vice-president of Product Development and Account Management discusses how our company is:
- Using clinical informatics and data science to describe and predict COVID-19
- Designing peer-reviewed studies to better understand COVID-19
- Using our Whyzen Analytics solution to help health plans, employers, and brokers explore and address account-level risk