BHI's COVID-19 Analytics


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.


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BHI COVID-19 Descriptive Analytics

While there have been many hypotheses about the impact of the coronavirus on healthcare costs and utilization, BHI’s analysis of paid medical and pharmacy claims from over 200 million commercially insured Americans offers substantiated proof of the latest healthcare trends.
Jan, Feb, and March have 1-month runout, April has no runout.

Preventative E&M Services Have Declined Significantly

Preventative E & M visits generally decrease in the winter months (December-February.) The seasonal trend for preventative E&M visits shows a slight increase in January visits, followed by a dip in February. The slight increase in January may be due renewed benefits and motivations after the new year. Due to COVID-19, E&M services decreased by more than 50% in March and April.
March 2020 has only 1-month runout and April 2020 has no runout.

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.

Ongoing Analyses

BHI continues to perform detailed analyses that reveal emerging trends directly and indirectly related to COVID-19, illustrating the impact of clinical, socioeconomic, and behavioral factors upon the business of healthcare. Findings will be consolidated and regularly released into downloadable reports through the rest of the year.
Request emerging trends reports

Whyzen Employer Reporting and Analytics

Account-level COVID-19 discovery for health plans, employers and brokers
In these difficult times, actionable information is priceless. Reliable analytics can help employers, health plans, and brokers protect their employees and businesses. Whyzen Analytics was named a quarterfinalist in the 2020 UCSF Digital Health Awards for its excellence in COVID-19 tracking and reporting. Its analytic and reporting functionality helps healthcare decision makers better allocate care management resources for targeted and impactful interventions.
Request a Whyzen demo

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
  • Condition
  • ZIP code

Users can leverage these findings to better allocate care management resources for targeted and impactful interventions.

COVID-19 Analytics- High Risk Members by Location

Identifying Conditions that Lead to Complications

COVID-19 symptoms are exacerbated by pre-existing conditions – heart conditions, lung disease, cancer, obesity, etc. Whyzen Analytics allows users to identify and locate members who are at-risk before complications develop.
COVID-19 pre-existing conditions that lead to complications

Understanding Underlying Comorbidities

Drill into specifics about each complication – its prevalence, location, cost, proximity to key business sites, etc. Whyzen Analytics is continually updated as new data emerges about the complications associated with COVID-19.
COVID-19 analytics to help understand underlying comorbidities

Visualizing Data to Make the Complex Understandable

Whyzen’s versatile reporting functionality enables the monitoring of an account’s patient populations at big-picture and granular levels.
Visual data display of COVID-19 analytics

Projecting Costs and Identifying Opportunities

Whyzen Analytics helps track trends, predict costs, and allocate resources to ensure the safety and viability of a company and its employees.
COVID-19 analytics tracks outbreaks

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