Clinical systems · Behavioral health EHR
Valant
Valant makes electronic health record and practice management software for behavioral health practices and IOP/PHP programs, covering notes, treatment plans, outcome measures, e-prescribing, scheduling, billing, and a patient portal.
Strong fit
- Outpatient therapy and psychiatry practices that want records, scheduling, and billing in one system
- Intensive outpatient and partial hospitalization programs that need group notes and utilization review
- Practices that want AI-drafted notes and measurement-based care built into the record
Weak fit
- Residential addiction treatment centers that need bed management and admissions tools
- Multi-specialty medical groups
- Buyers who need a published price list
Bottom line
Valant, based in Seattle, Washington, makes electronic health record and practice management software for behavioral health practices, from solo therapists to intensive outpatient programs. It covers notes, treatment plans, outcome measures, e-prescribing, scheduling, billing, and a patient portal. It fits outpatient mental health practices that want one system built for behavioral health.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
David Lischner, a psychiatrist who ran Evidence Based Treatment Centers of Seattle, founded Valant in 2005 with his brother Ben Lischner, a former software developer at AT&T Wireless, because generic record systems did not fit mental health care. Valant's software handles notes and treatment plans, intake forms and scored assessments, e-prescribing with prescription drug monitoring checks, group therapy, scheduling, billing through a built-in clearinghouse, telehealth, and a patient portal. Its AI Notes Assist drafts session notes for the clinician to edit. Valant also offers tools for intensive outpatient and partial hospitalization programs, the levels of care between weekly therapy and an inpatient stay, including utilization review.
Gemspring Capital invested in Valant in 2019, and Resurgens Technology Partners bought it in December 2023, when it served more than 22,000 behavioral health professionals in all 50 states. Ram Krishnan, who spent nearly 15 years at GE Healthcare, has been chief executive since October 2020.
Compare Kipu Health when a residential or addiction treatment center needs census, admissions, and multi-site billing, and Sunwave when a treatment center wants records, admissions marketing, and billing in one system.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Valant | 7.5 | 7.6 |
| Kipu Health | 7.4 | 7.1 |
| Sunwave | 6.9 | 6.6 |
Pricing
| Item | Detail |
|---|---|
| Model | Quote from Valant based on practice size and modules. |
| What usually drives cost | Number of prescribers and clinicians, program type (outpatient or IOP/PHP), and add-ons such as revenue cycle services, e-prescribing, and AI notes. |
| What to ask in diligence | The price per clinician or prescriber, setup and data migration fees, and what revenue cycle services cost. |
| Published pricing | No public list price. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Valant to function | |
| Practice manager who owns the switch | Someone must run the move. |
| Export from the current system | Records move over. |
| Payer list and billing rules | Claims depend on them. |
| Note and treatment plan templates | Clinicians need familiar forms. |
| Training time for clinicians | Notes change on day one. |
| What will maximize your value | |
| Turn on scored assessments | Shows patient progress. |
| Use the patient portal for intake | Cuts front-desk work. |
| Review claim rejections weekly | Catches setup errors early. |
| Deal-breakers | |
| Residential care needs | |
| Multi-specialty medical group | |
| No time for clinician training | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | Contract and data migration | 4-8 weeks |
| 2 | Go-live for clinicians | 1-3 months |
| 3 | Billing, portal, and AI notes fully used | 3-6 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.