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When researchers re-checked inaccurate listings in Pennsylvania marketplace directories more than a year after first finding them, 40% were still wrong, with a median of 544 days between the two checks. The study, published in the American Journal of Managed Care in 2024, tracked listings that stayed wrong while No Surprises Act directory rules were already in force.

That persistence is what manual provider data management costs in practice. Health plans spend staff time on roster intake, outreach calls, and corrections, yet the errors return because the process runs in cycles while provider data changes continuously.

The real cost sits in the labor you can see, plus the claims rework, penalties, and member trust you only see later.

What Does Manual Provider Data Management Cost a Health Plan?

Manual provider data management costs a health plan the staff hours spent on roster intake, outreach, and correction, plus downstream costs from claim rework, regulatory penalties, and member complaints. No reliable industry-wide figure exists, so each plan needs to calculate its own number from these cost centers.

Most plans can name their direct labor cost, because it shows up in headcount. The indirect costs are harder to see because they land in other departments' budgets, such as claims operations, compliance, and member services, and rarely get traced back to the provider record that caused them.

The Five Cost Centers Behind Manual Provider Data

Each cost center below has its own driver, and together they make up the full cost of a manual process.

Roster intake and normalization

Delegated entities and large provider groups send rosters in their own formats, and many decline to standardize because their delegation agreements let them choose the format. Your team maps columns, cleans values, compares each row with the current record, and keys the changes, often for dozens of rosters a month. Network operations teams commonly describe staff who were hired to analyze networks spending much of their time on data entry instead.

Directory outreach and attestation

Verifying listings by phone, fax, and email is the most labor-intensive part of directory accuracy, and the workload is about to grow. The REAL Health Providers Act requires Medicare Advantage plans to verify directory information at least every 90 days starting in plan year 2028, and state regulators have started to require the same cadence of commercial plans through enforcement actions. A plan that verifies quarterly by hand needs roughly four times the outreach capacity of a plan that verifies annually.

Claim rework and payment errors

When the provider file used for adjudication is out of date, claims deny or pay at the wrong rate, and both sides pay to fix them. Claims staff rework the claim, provider services handles the call, and the provider data team eventually corrects the record that started it.

Compliance exposure

Directory penalties are now specific and public. In August 2025, the New York Attorney General secured $250,000 from MVP Health Care after a secret shopper review found every sampled mental health provider listed as accepting new patients was unreachable or not accepting them, and the settlement requires MVP to contact every in-network provider every 90 days. The same month, Washington's Insurance Commissioner fined Premera Blue Cross $550,000 over directory and mental health parity violations.

Under the REAL Act, the exposure also becomes financial at the claim level, because a Medicare Advantage plan must hold a member harmless for out-of-network cost-sharing when the member relied on an inaccurate listing.

Member trust and retention

Directory errors cost goodwill that eventually shows up in retention and complaints. In Atlas Systems' proprietary Member Experience Monitor research, conducted with GBK Research among 1,000 insured U.S. adults, 80% of members who found a directory error said it made them trust their health plan less. From plan year 2029, Medicare Advantage directory accuracy scores will also be published, which puts the cost in front of brokers and shoppers as well.

How to Calculate Your Own Number

The most credible business case uses your plan's own data, and the model below needs only figures your teams already track.

Cost center

How to calculate it

Where to find the inputs

Roster intake

Rosters per month x hours per roster x loaded hourly cost x 12

Network operations time study

Directory outreach

Records verified per year x share requiring manual outreach x minutes per outreach x loaded cost per minute

Outreach logs or vendor invoices

Claim rework

Claims denied or adjusted for provider data reasons x average rework cost per claim

Denial and adjustment reason codes

Compliance

Penalties, corrective action costs, and audit preparation hours over the last three years, averaged

Compliance and legal records

Member impact

Directory-related complaints and grievances x average handling cost

Member services and grievance data

Illustrative example. Consider a plan with 20,000 directory records that moves from annual to 90-day verification, which means 80,000 verifications a year. If 30% of those require manual outreach at 15 minutes each, the plan needs 6,000 staff hours of outreach a year, before any roster or claims work. These figures are illustrative only, so replace each one with your own.

Building the Business Case for Automation

A business case for provider data management automation gets approved when it speaks to each signer's priorities and uses metrics finance already trusts.

Network operations leaders care about throughput and staff capacity, compliance leaders care about audit readiness and the REAL Act timeline, and finance cares about cost per unit and avoided loss. Present one number for each, drawn from the model above, rather than a single blended total that no one owns.

The metrics that hold up best in a finance review are:

  • Cost per verified record: Total verification labor and vendor cost divided by records verified
  • Roster turnaround time: Days from roster receipt to load, by submitter
  • Provider data denials: Claims denied or adjusted for provider data reasons per month
  • Directory accuracy rate: Measured on a random sample, the method the REAL Act will require
  • Staff hours redirected: Hours moved from data entry to network analysis or provider relations

Start with a baseline before any change, because a before-and-after comparison on your own data will carry more weight than any vendor benchmark.

How PRIME® Reduces Manual Provider Data Work

PRIME® replaces the manual steps in each cost center with automated intake, validation, and monitoring, and routes only true exceptions to your team. Atlas reports that organizations using PRIME® spend 85% less staff time on roster updates and cut administrative overhead by 50% by eliminating manual data entry.

The parts of PRIME® that address each cost center are:

  • Roster intake: Accepts files in any format, saves a mapping for each submitter, classifies every row as an add, change, termination, or no change, and sends exceptions to a work queue
  • Directory outreach: Checks free and low-cost primary sources first, then uses AI-assisted outreach and a human call center only for records that remain unresolved
  • Claims accuracy: Syncs validated changes to claims, contracting, and directory systems, so the adjudication file matches the directory
  • Compliance: Tracks every record's 90-day verification window and stores the date, method, and source of each verification for audits
  • Monitoring: Watches license, sanction, and practice status between cycles, so changes are caught as they happen

To model the savings for your own network, try the PRIME® ROI calculator.

To see PRIME® in action, schedule a demo today with our product experts.

FAQs

How much do health plans spend on provider data management?

There is no reliable public benchmark, because plans spread the cost across network operations, claims, compliance, and member services. The most accurate answer comes from adding up labor, rework, penalties, and complaint handling using your plan's own data. 

What is the ROI of provider data management software?

ROI comes from staff hours redirected away from manual intake and outreach, fewer provider data denials, and lower compliance exposure. Measure each against a baseline taken before implementation so the return reflects your own operations. 

Which provider data tasks are easiest to automate first?

Roster intake and primary source checks are usually the best starting points, because they are high volume and rule-based. Outreach to providers can follow, with people reserved for the records automation cannot resolve.

How do you measure provider data quality?

Measure accuracy on a random sample of directory records verified against primary sources, then track roster turnaround, provider data denials, and the share of records verified within your required window. Report the trend monthly. 

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    Philip Gillich
    Author

    Philip Gillich

    Philip Gillich, MPH, is VP, Provider/Payer Engagement Advisory Solutions at Atlas Systems, where he works with health plans and provider organizations on PRIME®. He has more than 20 years of experience on both sides of the payer-provider relationship. That includes building provider networks and leading population health and payer relationship programs.

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