LexisNexis Risk Solutions Health Care is committed to supporting the United States health response to the COVID-19 pandemic.

By combining our unique data and analytics together with those of other industry stakeholders, we created the COVID-19 data set and interactive visualization in order to provide insights on at-risk populations and care capacity risks.

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Percentile Rank of Severe Health Outcomes and Care Capacity Risks

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About the LexisNexis Risk Solutions COVID-19 Data Insights Map

LexisNexis Health Care provides market-leading analytics that help healthcare organizations improve population health, manage provider data workflows, and gain claims intelligence. In response to the global pandemic, LexisNexis Health Care brought these data assets together and embarked on an industry partnership to engage thought leaders and aggregate data to help our customers, public health officials, and health researchers gain additional insights for the purpose of combatting COVID-19. This first phase focused on answering two primary questions:

Which communities are most at-risk for poorer health outcomes due to COVID-19?

We evaluated at-risk populations in three categories:
  • Age and Comorbidities (i.e. High Risk Population) - national percentile ranking based on the proportion of the county population 60 years or older with two or more high-risk COVID-19 comorbidities.
  • Age, Comorbidities, and Socioeconomic - national percentile ranking based on the proportion of the county as part of the High-Risk Population combined with an associated socioeconomic risk factor.
  • Health Risks by Age & Condition (Heart Disease, Diabetes, Hypertension, or Lung Disease) - national percentile ranking based on the proportion of the county population 60 years or older with one specific underlying condition.

Which communities are most in need of critical care resources to help combat COVID-19?

We evaluated potential critical care gaps through four risk scores:
  • Provider Risk - national percentile ranking based on a comparison of the High-Risk Population with the number of known key specialty providers.
  • Hospital Risk - national percentile ranking based on a comparison of the High-Risk Population with the number of known hospital beds.
  • ICU Risk - national percentile ranking based on a comparison of the High-Risk Population with the number of known ICU beds.
  • Pharmacy Risk - national percentile ranking based on a comparison of the High-Risk Population and newly confirmed COVID-19 cases with the number of known pharmacies.

National Telehealth Trending Insights

As COVID-19 continues to impact the delivery of healthcare services in typical care settings, many providers have transitioned to using telehealth services. Telehealth refers to a broad range of healthcare services that enable providers to leverage telecommunication systems for remote patient evaluation, diagnosis, and treatment.

The nationwide expansion of telehealth has helped to maintain continuity of care and support social distancing requirements. At-risk communities have benefited from vital services that reduce potential care gaps and limit patient exposure. Telehealth services reduce Provider Risk by expanding the breadth of practitioners available to at-risk communities regardless of location, as well as reduce Socioeconomic Risk by mitigating some factors that may limit the accessibility of care.

This graph represents the national change in telehealth claim volumes, showing the weekly percent increase of 2020 claims compared with those in 2019. It reveals the increase in telehealth adoption and utilization during the COVID-19 pandemic.

This graph represents the top national change in telehealth claim volumes by specialty, showing the weekly percent increase of 2020 claims compared with those in 2019. It reveals specialty treatment areas that are seeing a significant adoption of telehealth services during the COVID-19 pandemic.

About the LexisNexis Risk Solutions COVID-19 Data Assets and Analytics

Insights Map Data Model

  • All of the above categories are scored by county as part of a national percentile ranking among all counties in the United States for the selected attribute. On a scale of 0 (low-risk) to 100 (high-risk), each county is assigned a percentile rank. For example, a Risk Score of 90 indicates inclusion in the 90th percentile for that risk metric, meaning that county is better off than 10 percent, while worse off than 90 percent, of all the counties in the United States.
  • High-Risk Comorbidities include Asthma, Cancer, Chronic Lung Disease, Coronary Artery Disease, Diabetes, Heart Failure, Hypertension, Liver Disease, Renal Failure, and HIV/AIDS.
  • Key Specialty Providers include Anesthesiologist, Cardiologist, Critical Care, Emergency Medicine, Essential Community Providers, Hospitalists, Hypertension Specialist, Internal Medicine, Interventional Cardiology, Infectious Disease, Pulmonary Disease, and Respiratory Therapists.
  • Socioeconomic scoring was added to Age and Comorbidities to reveal additional sources of potential risk. Socioeconomic factors such as economic stability, access to transportation, and community and social context impact how well communities are able to follow medical recommendations, including the ability to social distance during this pandemic. Attributes contained in this model have been clinically-validated against actual health outcomes such as medication adherence and ER utilization. The greatest areas of socioeconomic risk indicate areas where socioeconomic needs are most likely to prevent optimal health outcomes if not proactively addressed. Socioeconomic scores are only included within the Age, Comorbidities, and Socioeconomic dropdown at a county-level for 'Population Risks' attributes and are not included in the 'Care Capacity Risks' metrics.
  • High-Risk Comorbidities and Key Specialty Providers included in the data model are based on a review of relevant market literature and clinical guidance.
  • The count-scales represented under the 'Cases' attributes for Confirmed and Deaths are reflective of the minimum and maximum for any given county based on nationally observed county totals for a true county-to-county assessment.
  • Pharmacy Risk evaluates the High-Risk Population and those newly confirmed with a COVID-19 diagnosis during the most recent two-week period, removing those identified as deceased due to the pandemic, compared with the number of known pharmacies. This metric was added to reveal an additional source of potential risk that could impact access to over-the-counter medications, prescriptions, and/or pharmacy clinics.
  • 'Care Capacity Risk' factor in resource gaps based on known Key Specialty Providers, the number of known hospital beds, or the number of known ICU beds compared with the overall number of High Risk patients. Gray areas on the map may represent sparse or insufficient data for the corresponding calculation to occur, potentially constituting additional sources of risk.
  • Health Risks are segmented by Age & Condition. Age & Heart Disease, include heart conditions such as Coronary Disease and Heart Failure. Age & Diabetes include diabetic conditions such as Type-1 and Type-2. Age & Hypertension include various high blood pressure diagnoses. Age & Lung Disease include chronic lung conditions such as Asthma, COPD, and Emphysema.

Telehealth Data Model

  • Increase in Telehealth Claims by Week compares the current weekly national volumes of telehealth claims trended against historical 2019 average weekly national volumes.
  • Top Weekly Increases in Telehealth Claims by Specialty compares the national specialty volumes of telehealth claims trended against the weekly 2019 historical average. To determine specialties, LexisNexis evaluated those with high volumes of telehealth claims observed within the most recent week and then reported those with the greatest percent change.
  • Telehealth specialties displayed may vary as these are calculated on the most recent week of data to show the most relevant and changing specialties using telehealth services.

COVID-19 Rapid Response Dataset and Resources

The LexisNexis Risk Solution data and analytics team designed the COVID-19 data set by combining proprietary data assets and models from LexisNexis Health Care with data from the Johns Hopkins University Center for Systems Science and Engineering, which includes data from WHO, CDC, and other independent sources, and data from the American Hospital Association (AHA).

Data used in this analysis was contributed from the following sources:

Additional health and medical research on COVID-19 is available through the Elsevier Novel Coronavirus Information Center:

COVID-19 is known as the novel coronavirus SARS-CoV-2. COVID-19 Case and Death counts are updated daily, other data attributes are updated at various frequencies. The LexisNexis Risk Solutions COVID-19 Data Resource Center is optimized for Google Chrome browsers.

License and Attribution

LexisNexis Health Care is making this data publicly available for broad, noncommercial public use including by medical and public health researchers, policymakers, government officials, and analysts.

  • If you use this data, you must attribute it to "LexisNexis Risk Solutions" in any publication.
  • If you use it in an online presentation, we would appreciate it if you would link to our COVID-19 Data Resource Center at https://covid19.lexisnexisrisk.com
  • If you have any feedback or any additional questions, please let us know covid19@lexisnexisrisk.com


If your organization is interested in learning about the value that LexisNexis Health Care can provide through our identity, provider, or claims data, would like to participate as a contributor to this resource center, or has questions on this project, please contact us here.

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