Population health & analytics · Post-acute admissions AI
Basalt Health
Basalt Health is AI software that reads referrals for post-acute care as they arrive by fax, portal, or EHR, checks each one against a facility's clinical and payer rules, and supports admissions, benefits checks, and prior authorizations.
Strong fit
- Hospital networks with post-acute units that receive many faxed referral packets
- Admissions teams that want faster, consistent accept or decline decisions
- Organizations that want the reason for each placement decision on record
Weak fit
- Small facilities with few referrals a day
- Teams that want a full EHR or care management system
- Buyers who want a published price
Bottom line
Basalt Health reads post-acute referral packets with AI and checks them against clinical and payer rules, and it cut median processing time at Lifepoint Health from 8.5 minutes to 1.2 minutes. It suits networks with high referral volume. It is young, and two large health system customers account for most of its public results.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Basalt Health is used by admissions and case management teams that decide whether a patient leaving the hospital can be placed in a post-acute bed, such as rehab or skilled nursing. Case managers often fax clinical packets of 70 pages or more to several facilities and wait for an answer, according to Basalt's Series A announcement. Basalt reads each referral when it arrives, by fax, portal, or direct EHR connection, checks it against the facility's clinical criteria, and supports the admissions, benefits checks, and prior authorizations that follow.
At Lifepoint Health, Basalt cut median chart processing time from 8.5 minutes to 1.2 minutes, an 86% reduction. It is being rolled out to 49 more Lifepoint markets and 62 ScionHealth hospitals by the end of 2026, 111 markets in all.
The closest competitors are Tennr, which reads referrals for specialty practices, and hospital operations and post-acute analytics vendors Qventus, LeanTaaS, and Trella Health.
Ben Hackett, who spent nearly a decade at Accolade, founded Basalt in 2024. On September 24, 2026 Basalt announced a $20 million Series A led by NEA, with Frist Cressey Ventures and 25m Health, bringing total funding to about $24.5 million. NEA partner Blake Wu sits on its board.
The money will take Basalt from admissions into discharge and payer work. Basalt publishes no price.
What customers say
"Basalt represents the kind of innovation healthcare needs right now: technology that creates measurable value while fitting naturally into existing clinical and operational workflows." Al Smith, Chief Information Officer, Lifepoint Health, in Basalt's announcement.
"Basalt helps our teams work faster, make more informed decisions, and deliver a better experience for our patients and our partners." Sarah Stuart, SVP Growth and Transformation, ScionHealth, in Basalt's announcement.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Tennr | 8.0 | 7.9 |
| LeanTaaS | 7.8 | 7.2 |
| Basalt Health | 7.6 | 7.4 |
| Trella Health | 7.3 | 7.0 |
| Qventus | 7.2 | 6.8 |
Pricing
| Item | Detail |
|---|---|
| Model | Custom quote from Basalt. |
| What usually drives cost | Referral volume, the number of facilities and markets, and which workflows are switched on. |
| What to ask before you buy | Ask Basalt for the price per facility or per referral, setup costs, and which EHR connections are included. |
| Published pricing | Basalt does not publish a price list. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Basalt Health to function | |
| Admissions lead who owns referral decisions | Basalt changes how decisions get made. |
| Written clinical acceptance criteria | Basalt checks referrals against them. |
| Fax, portal, or EHR referral feeds | Basalt reads what arrives. |
| Baseline time to decision | Shows the change later. |
| What will maximize your value | |
| Start with the highest-volume facility | Biggest time savings. |
| Add benefits checks and prior authorization | Fewer stalled admissions. |
| Deal-breakers | |
| Few referrals a day | |
| No agreed acceptance criteria | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | Contract and referral feeds connected | 2-6 weeks |
| 2 | First facility live | 1-2 months |
| 3 | Network rollout | 3-9 months |
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.