Prompt
Can you recommend self-funded health plans for a mid-size employer trying to reduce healthcare costs without losing benefits quality?
Latest observation
Yes — for a mid-size employer, the best self-funded approach is usually not “cut benefits,” but rebuild the plan around cost control, better purchasing, and active vendor management.
Good self-funded plan structures to consider
1. Level-funded plan
Best if you want self-funding with more predictability.
- Fixed monthly payment
- Claims are paid from the employer’s funding account
- If claims are lower than expected, some surplus may be returned
- Often includes stop-loss coverage
Why it works: easier budgeting, lower administrative complexity, and often a good first step away from fully insured coverage.
2. Traditional self-funded plan with stop-loss
Best if you have decent cash flow and want maximum flexibility.
- Employer pays claims directly
- Stop-loss insurance protects against very high claims
- Can be paired with a third-party administrator (TPA)
Why it works: lets you tailor benefits and keep savings when claims trend well.
3. Self-funded + reference-based pricing / direct contracting
Best if local provider costs are high.
- Reimburses providers based on a set benchmark
- Or contracts directly with high-value facilities/providers
- Often paired with navigation support
Why it works: can sharply reduce unit costs, but needs strong employee support and good advocacy.
4. Self-funded plan with carve-outs
Best if you want to target high-cost categories without disrupting core benefits. Common carve-outs:
- Pharmacy benefit manager (PBM) optimization
- Specialty pharmacy management
- Transplant centers of excellence
- Behavioral health network
- Diabetes or chronic condition programs
Why it works: concentrates savings where spending is most concentrated.
Features that help reduce costs without hurting quality
Strong cost-control tools
- Pharmacy benefit management review: often one of the biggest savings areas
- Centers of Excellence for surgeries and specialty care
- High-performance provider networks
- Second-opinion and care navigation programs
- Telehealth and virtual primary care
- Condition management for diabetes, musculoskeletal, cardiometabolic, and maternity
Benefit design that preserves quality
- Keep preventive care at $0
- Maintain reasonable deductible and out-of-pocket maximums
- Use tiered copays rather than cutting coverage broadly
- Add HSA-compatible plans if your workforce can benefit
- Protect access to primary care, mental health, and chronic disease meds
What I’d usually recommend for a mid-size employer
A strong starting point is:
Level-funded medical plan + strong stop-loss + PBM carve-out + care navigation + high-performance network + Centers of Excellence
This combination often gives:
- predictable cash flow
- savings opportunities
- better control of specialty spend
- minimal disruption to employees
Key risks to manage
- Large claims volatility
- Underestimating specialty drug spend
- Poor stop-loss terms
- Weak claims data visibility
- Employee confusion about new plan rules
- Network disruption if provider access is too narrow
Questions to ask brokers/carriers/TPAs
- What is the maximum financial exposure under this structure?
- How is stop-loss priced and what exclusions apply?
- What are the top 10 claim drivers and where can we intervene?
- How much savings comes from network pricing vs utilization management?
- What employee support tools are included?
- How transparent is the claims and pharmacy data?
- What benchmarks do you use to show quality is maintained or improved?
Practical recommendation
If you’re mid-size and want to reduce costs without hurting benefits quality, start by evaluating:
- Level-funded plan
- Self-funded with stop-loss
- PBM optimization and carve-outs
- Navigation / Centers of Excellence
- Network strategy and claims analytics
If you want, I can also give you:
- a side-by-side comparison of level-funded vs fully insured vs self-funded
- a sample benefit design
- or a checklist for selecting a broker/TPA.
Observation history
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How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
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