Prior authorization & UM · Medication access / PA
Develop Health
Develop Health is an EHR-integrated benefits verification and prior authorization platform focused on medication access, including drafting, status, and appeals for pharmacy-benefit pathways. It is not a payer clinical utilization-management policy engine.
Strong fit
- Digital health companies and specialty clinics buried in pharmacy prior authorizations for hard-to-approve drugs
- Teams that track how fast approvals come, how long forms take, and how many patients start their medication
- Organizations that want benefits checks and prior authorization drafts inside the EHR, without a full health plan review system
Weak fit
- Health plans buying large utilization management policy engines
- Providers whose prior authorizations are almost all for procedures under the medical benefit, with few for medications
- Buyers who will not have staff review the AI's clinical answers before they are sent
Bottom line
Develop Health is worth using for digital health companies and specialty providers whose patients struggle to get medications covered, such as GLP-1s and specialty drugs. It suits teams that can connect it to their EHR and own the exceptions. Clinics whose main problem is phone work or medical-benefit authorizations may prefer Infinitus or SamaCare.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Develop Health automates benefits checks and prior authorization for medications. It raised a Series A in 2025.
It checks benefits, drafts prior authorization packages inside the EHR, tracks their status, and supports appeals. It focuses on drugs covered under the pharmacy benefit, such as GLP-1s and specialty therapies. Its early growth is strongest with digital health companies and specialty pharmacy cases.
It is narrower than Infinitus, whose voice agents handle many kinds of access calls, or Xsolis, which supports health plan utilization review. It is not software for a health plan's clinical decisions.
Setup still needs an EHR connection and a clear owner for problem cases. Prices are quoted for each customer.
Among prior authorization tools we review, Develop Health scores close to SamaCare for medication access problems.
Infinitus fits when most of the work is on the phone. SamaCare fits when specialty authorizations under the medical benefit make up most of the work.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Latent | 7.9 | 7.4 |
| Infinitus | 7.7 | 7.4 |
| SamaCare | 7.1 | 7.0 |
| Develop Health | 7.0 | 6.8 |
| Hindsait | 7.0 | 6.7 |
| Valer | 6.6 | 6.4 |
| Linear Health | 6.5 | 7.0 |
| Rhyme | 6.5 | 6.3 |
Pricing
| Item | Detail |
|---|---|
| Model | Benefits checks and prior authorization automation for medications, built into the EHR, with quotes for each customer. |
| What usually drives cost | The number of submissions, the mix of drugs and specialties, how deeply it connects to the EHR, and appeals modules. |
| What to ask before you buy | The cost per approved authorization compared with staff time saved, with current approval rates written into the pilot. |
| Published pricing | Develop Health does not publish prices. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Develop Health to function | |
| A list of the drugs and specialties you handle under the pharmacy benefit | Automation fails when drug coverage lists are unclear. |
| EHR owners for checks at the time of prescribing | Separate portals mean entering things twice. |
| Staff to review the AI's clinical answers | Sending submissions without review risks denials. |
| Clear escalation path for denials and appeals | Without appeals, patients wait longer to start medication. |
| Current approval rates and turnaround | You cannot show value without a starting point. |
| What will maximize your value | |
| Measure how fast approvals come and how many patients start medication | Finishing forms is not the goal on its own. |
| Start with the drugs that are hardest to get approved | Wide rollouts hide workflow problems. |
| Train staff to handle unusual plans | Unusual cases are most of the work. |
| Stop duplicate fax and portal steps after launch | Running two processes wipes out the return. |
| Review denial reasons weekly at first | Missed patterns turn into the same denials again and again. |
| Deal-breakers | |
| You need a health plan's utilization review policy engine. | |
| Almost all your authorizations are for procedures under the medical benefit. | |
| Clinicians will not review the AI's drafts. | |
| No one owns the EHR connection. | |
| Leaders expect no denials at all. | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | From signing to kickoff | 2-6 weeks for security review, EHR planning, and listing payers and drugs |
| 2 | From kickoff to first use | 4-12 weeks for the first specialty or site |
| 3 | From first use to steady results | 2-5 months before problem cases settle down |
Leadership
Methodology
| Weight | Factor | What it measures |
|---|---|---|
| 35% | Customer outcomes | Whether buyers get measurable operational or clinical-workflow results after go-live |
| 30% | Product | Capability depth, reliability, and fit for the job the category buys |
| 20% | Implementation | How hard it is to stand up, integrate, train, and stabilize |
| 15% | Pricing clarity | Whether a buyer can model total cost without a mystery quote |
| Label | Meaning |
|---|---|
| Highly recommend | Strong outcomes and product with manageable caveats |
| Recommend | Solid fit for the right buyer; know the tradeoffs |
| Conditional | Only with a specific use case or heavy caveats |
| Not recommended | Avoid for most buyers in this category |
Read our full methodology for how we weight scores and assign recommend labels.