Patient engagement · Patient access voice AI
Hello Patient
Hello Patient runs AI phone, text, and chat agents for outpatient practices as a managed service, connected to each practice's EHR.
Strong fit
- Urgent care, ENT and allergy, and primary care groups
- Outpatient groups that want AI phone and text agents run for them as a managed service
- Practices that want to cover more calls and texts without hiring
Weak fit
- Health systems that need nurse triage protocols
- Teams that want to configure and run their own phone agents
- Buyers who need a published price list
Bottom line
Hello Patient runs AI agents that answer calls, texts, and chats for outpatient practices, with an agent named Mia. It works as a managed service: Hello Patient connects to each practice's EHR and takes over phone and text work. It fits urgent care and specialty groups that want patient communication handled for them.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Alex Cohen and Nick DeRobertis started Hello Patient in 2024 with a team from Carbon Health, where Cohen spent more than three years running consumer and growth product. At Carbon he rebuilt its call-center systems and managed patient communications, and he found most of them still happened by phone and text. Hello Patient sells a managed service priced like software: it connects to a medical group's EHR and other systems and takes over work such as calling referred patients, so the practice does not need to hire people for it.
Hello Patient raised a $6.3 million seed round from 8VC, Bling Capital, and Max Ventures, then a $22.5 million Series A in September 2025 led by Scale Venture Partners. The Series A valued Hello Patient at $100 million, and by then its agents handled 10,000 to 20,000 conversations a day, up from hundreds a day the previous October. It focuses on urgent care, ENT and allergy, and primary care, and also works with dermatology and orthopedic practices.
Compare Assort Health when a specialty group with complex scheduling rules wants agents built for that specialty, Hyro when a health system wants agents across many channels, Keona Health when nurse triage is required, PatientPrism when the goal is coaching staff from call analytics, and Parakeet Health when a dermatology group wants pay-for-performance pricing.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Assort Health | 8.2 | 7.6 |
| Hyro | 7.9 | 6.4 |
| PatientPrism | 7.7 | 7.1 |
| Keona Health | 7.4 | 7.7 |
| Hello Patient | 7.2 | 8.4 |
| Parakeet Health | 6.9 | 7.0 |
Pricing
| Item | Detail |
|---|---|
| Model | Custom contract quoted by Hello Patient. |
| What usually drives cost | Call and text volume, number of locations, and which workflows the agents take over, such as referrals, scheduling, and reactivation. |
| What to ask in diligence | The price per conversation or per location, what the managed service includes, and EHR integration costs. |
| Published pricing | No public list price. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Hello Patient to function | |
| Practice lead for patient communication | Someone signs off on scripts and handoffs. |
| EHR and scheduling access | The agents book and update records. |
| List of calls and texts to hand over | Referrals, scheduling, and reminders differ. |
| Escalation path to staff | Clinical questions still go to people. |
| Baseline call and text volume | Shows what the service takes over. |
| What will maximize your value | |
| Start with referral and new-patient calls | These turn into visits. |
| Review conversations each week early on | Catches wrong answers fast. |
| Add reactivation texts once inbound works | Brings back lapsed patients. |
| Deal-breakers | |
| No EHR access | |
| Needs nurse triage | |
| Wants to run its own phone agents | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | Contract and EHR connection | 2-4 weeks |
| 2 | First agent live | 1-2 months |
| 3 | More workflows and locations | 2-4 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.