The AI-native electronic health record built by billers — charting, scheduling, claims, and patient outreach in one system that closes its own billing gaps.
Most EHRs treat billing as an afterthought — the note gets written, and the revenue problems start later. Cannect™ was designed in reverse. As the clinician documents, native AI completes the note, suggests ICD-10 and CPT codes with the right modifiers, scores denial risk, and flags missing demographics before the patient ever leaves the office. By the time the visit ends, the claim is ready for one human review — not a week of rework.
Speech-to-text dictation and automated note completion turn clinical shorthand into finished documentation in seconds.
The claims agent assembles codes, modifiers, and charges automatically — requiring only human review and submission.
A built-in denial-risk classifier evaluates every claim before it goes out, so problems are fixed pre-submission, not appealed after.
Appointment reminders and automated outreach for missing insurance and registration data, delivered through an integrated VoIP telephony stack.
Real-time 270/271 eligibility checks and demographic completeness validation keep every chart billing-ready.
Role-based access, consent management, break-glass controls, PHI redaction, and complete audit trails — engineered in, not bolted on.
The AI Assist panel rides alongside the chart: suggested note completions, a live claim preview with estimated charges, and next actions for the front desk. Every AI suggestion is accepted or rejected by a person — and every decision is recorded for audit.
See it in a demo
The Cannect Desktop shell keeps everything in view: a patient rail with allergies, problems, medications, care gaps, and pending work; an encounter workflow with one-keystroke actions; and a context drawer tracking clinical, revenue, and operational status side by side.
Our systems approach
The claim preview builds itself during the visit — suggested ICD-10 and CPT codes with modifiers, an estimated charge, and a demographics check flagging anything that would stall payment. Approve the codes, validate the record, and send to billing review in three clicks.
How this feeds the revenue cycle
The Review Surface gives clinicians a single, segmented place to scan the chart — timeline, notes, documents, labs, imaging, and medications — with saved user views and a compare mode for reviewing changes between visits. No more hunting across modules for the same patient's story.
Request a walkthroughCannect™ speaks the healthcare industry's standard languages. Clinical data moves over FHIR and SMART on FHIR interfaces; the revenue cycle runs on the transactions payers require — 270/271 eligibility inquiries, 837 claim submission, and 835 remittance posting with automated reconciliation. Visit summaries flow automatically to the referring or primary care physician on file, keeping the care team informed without another task on your staff's list.
Security is treated as architecture, not paperwork. Standards-based identity with OIDC, role-based access control per user, patient consent tracking, break-glass emergency access, PHI redaction, retention controls, and mutual-TLS connections to partners are all built into the platform — with automated backup, failover, and alerting drills validating operational readiness.
Most importantly, Cannect keeps humans in the loop by design. AI drafts; people decide. Every note completion, coding suggestion, and claim recommendation requires review before it takes effect, and every review is captured in the audit trail. It is automation your compliance officer can live with — built by the same Columbia-trained informatics team behind CCL Billing's revenue cycle services.
Use Cannect with CCL Billing's medical billing services and revenue cycle management, and the loop closes completely: the same platform that documents care prepares the claims our billing team tracks to payment. Practices keeping their current EHR can still benefit — our systems development team integrates Cannect's communication and outreach capabilities alongside what you already run. Go deeper on Cannect's native AI acceleration and offline downtime resilience.
Cannect is an AI-native electronic health record and practice management platform built by Canis Computer Laboratories & CCL Billing, Inc. It combines charting, scheduling, billing, and patient communications in one system, with AI assistance for note completion, coding, and claims preparation built in from the start.
No. Cannect's agent mode prepares claims end to end — coding suggestions, denial risk scoring, and demographic completeness checks — but every claim requires human review before submission. Clinicians and billers stay in control; the AI removes the busywork, not the accountability.
Yes. Cannect is engineered for HIPAA-grade operation with role-based access control, consent management, break-glass access, PHI redaction, and full audit trails, and it speaks the industry's standard languages: FHIR and SMART on FHIR for clinical interoperability, plus 270/271 eligibility, 837 claims, and 835 remittance transactions.
Contact CCL Billing at (845) 579-2737 or management@cclbilling.com to schedule a demonstration. Cannect works hand in hand with our billing and revenue cycle services, and our team will walk through how it fits your practice's workflows.
Tell us about your practice, your current EHR, and what isn't working. We'll schedule a walkthrough of Cannect and show you how it fits your clinical and billing workflows.
99 Washington Avenue, Suite 1008, Albany, New York, 12210
