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

Get featured

Want to get featured in MarketScale Healthcare?

Create a free MarketScale workspace and get your company's expertise featured across our Healthcare coverage. No credit card, no demo required.

Request an invite

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.

Your experts belong here

Every story in MarketScale Healthcare starts with a company putting its clinicians, service-line leaders, and field engineers on the record. Buyers are already reading this topic. The only question is whose experts they find.

Service-line buyers vet vendors quietly, and your clinicians become the proof they find while doing it.

Get your team featuredSee how it works15 minutes, straight to a calendar.

Follow Healthcare Insights

Get new expert content in your inbox.

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 Healthcare expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your clinicians, service-line leaders, and field engineers into the articles, video, and social content Healthcare buyers are searching for. Create a free workspace and see it with your own people. 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

How Targeted Patient Education Improves Outcomes - Stephen Page, SmarterHealth.AI

How Targeted Patient Education Improves Outcomes - Stephen Page, SmarterHealth.AI

Targeted patient education powered by AI can reduce preventable readmissions and improve health equity, but healthcare organizations must prioritize clinical oversight, data security, and ethical governance when implementing these solutions.

  • 01Preventable readmissions occur when patients misunderstand medications, miss symptom recognition, or lack clarity on follow-up instructions, creating clinical, operational and financial burdens for healthcare systems
  • 02AI-delivered patient education must meet three criteria: solve a meaningful clinical or financial problem, integrate naturally into care workflows, and avoid adding burden to patients or clinicians
  • 03Healthcare leaders evaluating AI tools should prioritize solutions that improve patient understanding, support clinicians, reduce avoidable utilization, protect data security, and demonstrate measurable clinical or financial results

Aug 31, 2026

Cleveland Clinic's 900-person AI summit signals a new buying cycle for patient routing systems

Cleveland Clinic's 900-person AI summit signals a new buying cycle for patient routing systems

Cleveland Clinic hosted an AI Summit that drew more than 900 registrants, reflecting growing hospital interest in AI across clinical and operational areas. The system is also backing a $50 million Mandel Foundation-funded "Digital Front Door" initiative meant to route patients to the right care setting and ease emergency department congestion, a sign that AI procurement is moving from point tools toward access-and-flow systems.

  • 01Cleveland Clinic hosted a 900-person AI Summit signaling AI's integration into healthcare operations.
  • 02A $50 million Mandel Foundation donation backs a "Digital Front Door" initiative aimed at routing patients to the right care setting and reducing ED congestion.
  • 03The shift moves AI procurement upstream, into patient routing, staffing, and facility-flow decisions rather than just standalone tools.

Aug 31, 2026

Medicare sets $137.53 maximum add-on payment per eligible inpatient case for CT triage AI

Medicare sets $137.53 maximum add-on payment per eligible inpatient case for CT triage AI

Medicare has announced a maximum add-on payment of $137.53 per eligible inpatient case for the use of AI in CT triage, utilizing Aidoc’s CT Body triage technology. This move emphasizes the importance of workflow integration, governance, and coding in hospitals employing radiology AI. The new technology add-on payment (NTAP) signifies a clear investment in AI-driven healthcare solutions.

  • 01Medicare introduces a $137.53 per-case payment for AI in CT triage.
  • 02Hospitals must integrate AI with proper workflow, governance, and coding.
  • 03The NTAP reflects investment in radiology AI solutions.

Aug 30, 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