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
We have developed new tools within our account-level analytics and reporting solution to 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
Preventative E&M Services Have Declined Significantly
Telehealth Utilization Increased 50- to 100-Fold
Before COVID-19, telehealth was primarily limited to rural facilities and had payment rates so low that physicians were not enthusiastic about offering it. Now telehealth is being used everywhere and payment rates have doubled.
Data shows telehealth services increased by 50- to 100-fold in March and April 2020. Potential reasons could include, but are not limited to, the expansion of telehealth codes providers can bill for under new CMS rules, adoption of social restrictions, as well as, potential for new codes introduced in 2020 i.e., digital assessment.
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