Hands organizing prescription medication bottles and blister packs on a countertop, representing private drug plan management

The Prescription Drug Crisis: Curbing Inefficiencies in Private Drug Plans

Key takeaways

  • Private drug plan costs are climbing at roughly a 14 percent annual trend, well ahead of general healthcare inflation.
  • A small share of claimants, usually tied to specialty and biologic medications, typically drives the majority of total drug spend.
  • Data analytics can flag inefficiencies, duplicate therapies, and pricing gaps that a standard claims summary never surfaces.
  • Negotiating with a plan administrator works better with evidence in hand than with a renewal-time ultimatum.

Finance officers reviewing this year’s benefits renewal are seeing a number that used to raise eyebrows and now just gets a resigned nod: drug costs are up again, and not by a little. Private drug plans across Canada are trending close to 14 percent annually, a pace that outstrips wage growth, general inflation, and most budget forecasts built a year ago.

The instinct is to blame rising drug prices in general. That’s part of it. But the bigger, more fixable problem usually sits inside the plan itself: inefficiencies that nobody’s looking for because nobody’s looking at the data closely enough. For a broader view of how plan design choices affect cost over time, our group benefits strategy resources are a useful starting point before diving into drug plan specifics.

A familiar renewal conversation

A finance director at a 180-person logistics company opens this year’s renewal package expecting a modest bump. Instead, drug costs alone are up 18 percent, driven almost entirely by three employees on specialty biologic medications. Nobody on the HR team knew those claims existed until the renewal numbers landed, because the monthly reports only ever showed aggregate spend. After a deeper claims review, it turns out one of those three is paying brand-name pricing for a drug with a biosimilar alternative that works just as well and costs a fraction as much. Nobody had flagged it. The plan administrator never proactively suggested it. That one conversation, once it finally happened, saved the company more than the entire renewal increase.

That scenario isn’t rare. It’s close to the default outcome for employers who treat the drug plan as a line item instead of something worth actively managing.

Where the inefficiency actually hides

Standard renewal reports tell you what you spent. They rarely tell you why, or whether it could have been spent better. A handful of patterns show up again and again once someone actually digs into the claims data.

  • Biosimilar gaps: Patients remaining on higher-cost brand-name biologics when a clinically equivalent biosimilar is available and covered.
  • Duplicate therapy: Multiple medications prescribed for overlapping conditions, sometimes from different physicians who aren’t coordinating.
  • Dispensing fee creep: Pharmacies charging dispensing fees well above market average, often unnoticed because they’re buried in per-claim detail.
  • High-cost claimant concentration: A small number of employees driving a large share of plan cost, which changes the negotiating leverage available to the employer.

None of these show up in a basic year-over-year trend report. They show up when someone runs the claims data through proper analysis and compares it against benchmarks.

What data analytics actually changes in a drug plan negotiation

Employers who walk into a renewal with claims analysis in hand have a fundamentally different conversation with their plan administrator than employers who walk in with just last year’s invoice. Analytics turns a vague “costs are too high” complaint into specific, negotiable line items.

Comparing approaches: standard renewal review vs. data-driven drug plan management

Feature Standard renewal review Data-driven drug plan management
Primary input Aggregate year-over-year trend report Claims-level data analysis and benchmarking
Visibility into high-cost claimants Limited or anonymized only Pattern-level visibility while respecting privacy rules
Biosimilar opportunities Rarely flagged proactively Identified and reviewed with the plan administrator
Negotiating position Reactive, based on the renewal number presented Evidence-based, with specific cost drivers identified
Typical outcome Accept or push back generally on the overall increase Target specific inefficiencies while preserving coverage quality

Neither approach guarantees a lower renewal number. But the data-driven version gives finance teams something to actually act on, rather than just absorbing the increase or cutting coverage broadly to offset it.

Who this is for

This matters most for:

  • Finance officers who’ve seen drug costs outpace every other line item on the benefits renewal for two years running
  • Benefit administrators managing plans with one or more employees on specialty or biologic medications
  • Mid-market employers who feel like they’re negotiating blind at renewal time
  • Organizations considering a funding model change but want to understand the real cost drivers first

What to expect from a drug plan analytics review

  1. A claims data pull, usually covering the last 12 to 24 months, done through the plan administrator or a third-party analytics partner
  2. Identification of cost concentration, biosimilar opportunities, and any dispensing or utilization anomalies
  3. A benchmarking comparison against similar-sized plans in the same industry
  4. A negotiation strategy built around the specific findings, not a generic renewal pushback

Considerations and trade-offs

Data analytics won’t eliminate drug cost trend entirely. Pharmaceutical pricing is driven by factors outside any single employer’s control, and specialty drugs will keep getting more expensive as new treatments reach the market. What analytics does is make sure the employer isn’t paying for avoidable inefficiency on top of unavoidable trend. It also takes some lead time. A rushed claims review two weeks before renewal won’t produce the same results as one started three or four months out.

Next steps for finance and benefits teams

If drug costs have been the biggest surprise on your renewal two years in a row, the fix usually isn’t a smaller plan. It’s a closer look at what’s actually driving the number. Summit Benefits works with employers to review claims data, flag inefficiencies, and walk into renewal negotiations with real leverage instead of guesswork.

Frequently asked questions

Why are private drug plan costs rising so fast?
Specialty and biologic medications are driving most of the increase, and they tend to cost far more than traditional drugs. Combined with inefficiencies like duplicate therapy or missed biosimilar opportunities, plans can see trend well above general healthcare inflation.
What is a biosimilar, and why does it matter for cost?
A biosimilar is a highly similar version of a biologic drug, approved as clinically equivalent but typically priced lower than the original brand-name product. Switching eligible claimants to a biosimilar can meaningfully reduce plan spend without changing treatment outcomes.
Can data analytics actually lower our renewal number?
It can’t guarantee a lower number, since pricing trend is influenced by factors outside the plan. But it identifies specific, addressable inefficiencies, which gives employers a stronger negotiating position than accepting the renewal as presented.
Do we need a certain plan size to benefit from this kind of review?
Larger plans typically have more claims data to analyze, but even smaller mid-market plans can benefit, especially if one or two high-cost claimants are driving a disproportionate share of spend.
How far ahead of renewal should this review start?
Three to four months is a reasonable window. It gives enough time to pull claims data, identify patterns, and have a real conversation with the plan administrator before renewal terms are finalized.