IPractices & Medical Groups
AI built for the
way you actually practice.
Independent medical groups, DPC networks, specialty practices, and concierge physicians operate with different economics and workflows than health systems. Cara's partnerships in this space are tailored accordingly — lighter on bureaucracy, heavier on the workflows that directly affect per-clinician throughput and patient relationships.
Sub-practices
Where our work tends to sit.
DPC & Membership
Direct primary care, membership medicine, and concierge practices. AI inside enrollment, billing, member engagement, and the patient-physician relationship.
Specialty Practices
Derm, ophthalmology, orthopedics, GI, cardiology, and other specialty groups. Specialty-specific documentation, prior auth, and patient intake.
Concierge Medicine
Boutique practices where the patient experience is the product. AI that augments rather than replaces the relationship.
Multi-site Medical Groups
Practice groups with 5–100 clinicians and central administrative operations. AI inside revenue cycle, scheduling, and referral management.
FQHCs & Community Health
Federally qualified health centers balancing broad patient populations with constrained budgets. AI that reduces administrative load without replacing clinical judgment.
Allied Health
PT, chiropractic, behavioral health, and wellness practices. AI inside intake, scheduling, and longitudinal patient engagement.
Patterns
Where Cara sits in the work.
A representative flow — not a template. Every engagement shapes its own pattern around the partner’s actual constraints.
Example engagements
Patterns we keep seeing.
Intelligent patient intake & triage
AI-assisted intake that pre-populates structured history, pre-authorizes against insurance coverage, and routes patients to the right clinician or modality before the appointment — inside Healthie, Canvas, Elation, or whatever EHR the practice runs.
Prior authorization automation
Agents that pull chart context, draft authorization requests, and follow the payer's workflow to adjudication — saving 6–12 hours per clinician per week.
Revenue cycle & claim integrity
AI that reviews charts against billed codes, surfaces missed documentation, and pre-corrects denials before submission.
Ambient documentation tuned to your specialty
Not a generic scribe — specialty-tuned ambient documentation that respects your templates, your preferred structure, and your style.
Common questions
What partners ask before
they get on the call.
- Which EHRs does Cara work inside?
- Independent and specialty practices most often run on Healthie, Canvas Medical, Elation, Athenahealth, eClinicalWorks, AdvancedMD, or DrChrono. Cara integrates against the EHR's official APIs (FHIR, REST, or vendor SDKs) and writes back to the chart — your clinical record stays the source of truth.
- Will my staff need to change tools?
- No. Cara sits inside the workflow your team already runs. Intake, scheduling, prior auth, and documentation AI surface where they already live — inside the EHR or the patient portal. We build the AI to remove a step, not to add a tool.
- How is this different from a generic AI scribe?
- Generic ambient documentation is a point tool. Cara builds the connected workflow: intake to chart to billing, including prior auth handling, eligibility checks, and revenue-cycle review. The ambient documentation we ship is specialty-tuned to your templates and your style.
- Can a small practice afford this?
- Practice (the configured platform) is sized for independent groups and concierge practices and goes live in days. Enterprise engagements are scoped to multi-site groups and DPC networks where a strategic workflow justifies senior engineering. Build sits in between for teams that need a custom surface without hiring engineers.
- Do we keep ownership of patient data?
- Yes. PHI never leaves your compliance envelope. BAA included by default. Cara operates to SOC 2 Type II controls. Your data stays your data — including audit trails of every AI-assisted action.
“A medical group is not a health system at smaller scale. It is a different kind of organization with different economics and different cadence — and AI work here has to respect that.”