Skip to content
MarketScale
‹ Back to IndustriesHealthcare

Private Health Insurers Must Evaluate Public Health Data

Is it in health insurance providers’ best interest to continue offering free COVID-19 test kits after it’s no longer mandated? Clearsurance.com health insurance expert, Melanie Musson, explores the need for data, evaluation, and making the best decision based on facts. COVID-19 Public Health Emergency In April 2022, the COVID-19 Public Health Emergency (PHE) was extended…

This story was produced through MarketScale. See how Healthcare teams put it to work with Executive Thought Leadership.

Share

Is it in health insurance providers’ best interest to continue offering free COVID-19 test kits after it’s no longer mandated? Clearsurance.com health insurance expert, Melanie Musson, explores the need for data, evaluation, and making the best decision based on facts.

COVID-19 Public Health Emergency

In April 2022, the COVID-19 Public Health Emergency (PHE) was extended for 90 days, which expires around mid-July.

Georgetown University Health Policy Institute shared that the Biden administration has previously advised that they will give 60 days’ notice before the PHE expires. So, since there hasn’t been a notification, it’s expected that the administration will extend the PHE.

In January of 2022, the Health and Human Services Department announced that the Biden-Harris administration requires health insurance providers to cover the cost of at-home COVID-19 testing kits.

Even though it appears that health insurance providers will continue to be required to cover certain COVID-19 services like free testing kits in the short term, in the long term, the Public Health Emergency will end. So, insurance providers must weigh the benefits of continuing previously mandated coverages.

The Value of Data

Health insurance providers need to start collecting data now, so they have time to collect information and evaluate results. There are several factors that they should consider when developing a post-emergency plan of action.

First, they should consider the results of frequent testing. For example, if individuals test frequently, will they be more likely to quarantine following a positive test result than if they simply felt ill?

Second, providers should seek to prove whether frequent testing is proven to result in lower community spread and hospitalization rates? Since hospitalizations are so expensive, insurers could save a lot of money avoiding paying hospital claims. It would take a lot of testing kits covered at 100% to equal the cost of one hospitalization.

Third, insurers should seek to discover if the policy-holder response to suspected COVID-19 changes if testing kits are covered like other medical tests or are covered 100%. For example, it’s possible that if someone suspects they have COVID-19, they may be willing to pay a copayment for a testing kit but would be less likely to pick up a test if they don’t have symptoms.

Also, providers should consider whether upfront coverage is more effective than COVID-19 testing reimbursement is more effective than

Policyholder Response Should Influence Decisions

Some policyholders may take advantage of free testing and obtain tests for fun. Sometimes when they test, they may have a positive result that they wouldn’t have caught so early, which may help them avoid interacting with others and spreading COVID-19. But providers need to evaluate data to determine if this is conjecture or supported by facts.

The bottom line should be to discover if free testing decreases community spread and if it’s superior to partially covered tests regarding the outcome.

COVID-19 is here to stay, and if insurance providers determine the best way to handle testing, they can form the best policies, help save lives, and give policyholders the lowest premiums possible while maintaining solvency.

Healthcare: are you visible to AI?

Before they reach out, Healthcare buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Healthcare Insights

Gene therapies, early detection, and GLP-1 drugs are reshaping enterprise healthcare procurement

Gene therapies, early detection, and GLP-1 drugs are reshaping enterprise healthcare procurement

Recent advancements in healthcare, including gene therapies, early detection methods, and GLP-1 drugs, are influencing enterprise healthcare procurement strategies. These innovations are impacting benefit plan adjustments and procurement decision-making processes. The healthcare industry is experiencing a notable shift due to FDA-cleared treatments and predictive diagnostics.

  • 01Gene therapies and early detection methods are transforming healthcare procurement.
  • 02FDA-cleared treatments are prompting shifts in benefit plans.
  • 03Advancements are accelerating decision-making in healthcare procurement.

Jul 14, 2026

FDA clears UpDoc's LLM diabetes app, grants Aidoc breakthrough status as clinical AI crosses new regulatory thresholds

FDA clears UpDoc's LLM diabetes app, grants Aidoc breakthrough status as clinical AI crosses new regulatory thresholds

UpDoc has received FDA clearance for its LLM-driven diabetes management app, while Aidoc has been granted breakthrough device status for its AI-drafted radiology reports. This marks a significant milestone as clinical AI applications continue to gain regulatory approval and recognition. The advancements showcase the potential of AI in improving healthcare management and diagnostic processes.

  • 01UpDoc's diabetes management app receives FDA clearance.
  • 02Aidoc achieves breakthrough device status for AI radiology reports.
  • 03Regulatory milestones highlight AI's growing role in healthcare.

Jul 13, 2026

Cedars-Sinai's CDAIO on healthcare AI's second wave: workforce transformation, not just productivity

Cedars-Sinai's CDAIO on healthcare AI's second wave: workforce transformation, not just productivity

The chief data and AI officer at Cedars-Sinai discusses the evolving role of AI in healthcare. While the first wave of AI focused on enhancing productivity, the second wave is expected to transform job roles and the workforce structure. This shift indicates a deeper integration of AI technology in healthcare operations.

  • 01First wave of AI increased productivity in healthcare.
  • 02Second wave aims to restructure job roles.
  • 03AI will deeply integrate into healthcare operations.

Jul 13, 2026

Explore More Healthcare Insights

Read more expert perspectives from across Healthcare.

Browse Healthcare Hub

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Healthcare and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512