Practice staffing · Virtual medical assistants & RCM support
Staffingly
Staffingly places dedicated virtual medical assistants into clinic workflows for phones, scheduling, prior auth, and RCM tasks. It is remote staffing, not an EHR product.
Strong fit
- Practices that want dedicated overseas VMAs for phones, scheduling, prior auth, and RCM tasks
- Groups comparing published weekly VMA rates with SOC 2 and BAA claims
- Buyers that need fast onboarding of remote medical admin staff
Weak fit
- Organizations that require only U.S.-based staff on every seat
- Buyers that need ambient AI scribes instead of human VAs
- Health systems shopping enterprise SI partners rather than practice VAs
Bottom line
Staffingly earns a Recommend on the practice staffing board for clinics buying dedicated virtual medical assistants. Founded and led by CEO Dan Nandan, the company places overseas credentialed staff on scheduling, intake, prior auth, and RCM work with published weekly rate bands and SOC 2 / HIPAA messaging. Third-party estimates put revenue roughly in a $1-5M band with a large ops headcount, inside the prefer band. Implementation is a two-week-style pilot into your EMR. Pricing is clearer than many opaque VA brokers. Score sits near GMVA on mid-market VA staffing and below MEDVA on pioneer facility-tier branding.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Staffingly is a healthcare outsourcing company founded by CEO Dan Nandan. Practices hire dedicated virtual medical assistants for phones, scheduling, prior authorization, and revenue-cycle tasks instead of adding another in-office FTE.
It is remote staffing, not an EHR and not consumer telehealth care delivery. Compare DocVA when published hourly VA rates are the frame, MEDVA when SOC2 facility tiers matter most, and Cool Blue VA when a boutique U.S.-leaning VA shop is the peer.
Score reflects clear weekly pricing with mid-market VA delivery depth.
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 |
Pricing
| Item | Detail |
|---|---|
| Model | Weekly dedicated VMA pricing (public calculator bands roughly $299-$399/week) plus specialty workflows. |
| What usually drives cost | Number of VMAs, skill mix (admin vs RCM), and hours of coverage. |
| What to ask in diligence | Weekly rate per dedicated VMA at your skill mix, including BAA and EMR access path. |
| Published pricing | Public weekly rate calculator bands; confirm current quote. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Staffingly to function | |
| Practice ops owner named | VAs fail without a local manager. |
| Task list and EMR access scoped | Vague SOWs produce idle seats. |
| BAA and security path clear | Offshore access stalls in IT. |
| Success metrics agreed | You cannot judge coverage blind. |
| Escalation hours documented | Patients still need clinic backup. |
| What will maximize your value | |
| Pilot one VA seat first | Ten seats day one multiplies noise. |
| Measure phone abandon and PA lag at 30 days | Prove staffing lift. |
| Retire overlapping freelance VAs | Duplicate queues confuse teams. |
| Deal-breakers | |
| U.S.-only staff required with no exception | |
| Need ambient AI not humans | |
| No ops owner | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | BAA and access | 1-2 weeks |
| 2 | Pilot VA | 2-4 weeks |
| 3 | Expand seats | 2-4 weeks |
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 actually 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.