Practice staffing · Office-based medical virtual assistants
MedGather
MedGather supplies medical virtual assistants who work from supervised offices on company devices, handling scheduling, eligibility, prior authorization, billing follow-up, and front desk work for US practices.
Strong fit
- Small and mid-size practices that want remote front-office and billing help
- Practices worried about home-based VAs working on personal devices
- Clinics that need after-hours administrative coverage
Weak fit
- Practices that need clinical staff or scribes
- Buyers who want a long track record and published client results
- Buyers who need a published hourly rate
Bottom line
MedGather supplies office-based virtual assistants for US practices, run from supervised offices on company devices. It fits small and mid-size practices that want front-office and billing help with tighter security than home-based VAs. It is young and publishes no client results, so start with a short pilot.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Dr. Ruel Garcia, a gastroenterologist in San Jose, California, founded MedGather after staffing problems in his own clinic. He still practices full time while serving as CEO. The company lists Cebu City, Philippines, as its headquarters and keeps a US office in Los Gatos, California.
MedGather staffs medical virtual assistants who work from supervised offices, not from home. Staff use company devices, VPN access, and logged workflows, and personal devices are not allowed on the floor. MedGather signs a business associate agreement with every client practice.
The assistants handle scheduling and reminders, eligibility checks, prior authorizations, billing follow-up, inbox work, and front desk overflow. MedGather also sells after-hours support. It does not provide clinical staff.
MedGather is small and young next to the larger VA firms in this category. It publishes no client counts or outcome figures, which keeps its outcomes score down.
MEDVA, DocVA, or GMVA fit when a practice wants a larger VA firm with more client history. HelloRache or Physicians Angels fit when the main need is remote scribing, not front-office work.
My Mountain Mover, Cool Blue VA, or Portiva fit smaller practices comparing other dedicated-assistant models.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| MEDVA | 7.8 | 7.4 |
| DocVA | 7.6 | 7.8 |
| HelloRache | 7.5 | 7.6 |
| Physicians Angels | 7.5 | 7.4 |
| ScribeEMR | 7.4 | 7.2 |
| My Mountain Mover | 7.3 | 7.2 |
| GMVA | 7.1 | 7.0 |
| Staffing For Doctors | 7.1 | 7.3 |
| Staffingly | 7.1 | 7.2 |
| Portiva | 6.9 | 7.0 |
| Cool Blue VA | 6.8 | 7.0 |
| CareVMA | 6.6 | 7.0 |
| MedGather | 6.6 | 7.1 |
Pricing
| Item | Detail |
|---|---|
| Model | MedGather quotes a monthly rate for each assistant after a strategy call. |
| What usually drives cost | For MedGather, cost depends on the number of assistants, hours and after-hours coverage, and the tasks in scope such as billing or prior authorization. |
| What to ask before you buy | Ask MedGather for the monthly cost per full-time assistant, what after-hours coverage adds, and how it replaces an assistant who leaves. |
| Published pricing | MedGather does not publish a price list. |
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.