70–80%
Less manual reconciliation
Reconciliation work falls 40% in 30 days and 70–80% in 90 days — about 25–35 hours a week back for a 10-provider clinic.
QuickRCM pulls patients, encounters, coverage, clinical notes, and charges from your EHR every 15 minutes — and writes verified eligibility, finalized codes, claim status, payments, and statements back into the chart. No CSV exports. No re-typing. No second source of truth.
Typical go-live for cloud EHRs: 2–4 weeks · OpenEMR same-week go-live for new tenants.
Your EHR
Patients · Encounters
Coverage · Notes · Charges
QuickRCM
Eligibility · Coding
Claims · Payments · AR
TL;DR
8 named EHRs
QuickRCM connects to 8 named EHRs — OpenEMR, Epic, Cerner, athenahealth, eClinicalWorks, NextGen, Allscripts, and DrChrono — via FHIR R4, REST, or Stagehand browser automation, with 25+ more in the wider integrations catalog.
Bi-directional by default
Eligibility, finalized codes, claim status, and payments write back to the chart automatically every 15 minutes — no CSV exports, no second source of truth.
Under-a-week onboarding
A new client EHR onboards in under 1 week for supported systems (versus 4–6 weeks before), with 98%+ EHR ↔ QuickRCM data parity and a 7–10 day reduction in days in AR within a quarter.
The QuickRCM EHR Integration module is judged on three numbers: how much manual reconciliation work it eliminates, how fast it pulls AR down, and how closely the chart and the billing system agree at the field level.
70–80%
Less manual reconciliation
Reconciliation work falls 40% in 30 days and 70–80% in 90 days — about 25–35 hours a week back for a 10-provider clinic.
7–10 days
Days-in-AR reduction per quarter
Closing the loop between billing and the chart pulls AR down by 7–10 days within a quarter and cuts the eligibility/demographic slice of denials 50–60%.
98%+
EHR ↔ QuickRCM data parity
Sampled-field parity climbs from 80–88% to 98%+. Mean time to detect drift drops from 24–72 hours (manual) to under 60 seconds (automated).
Production-validated integrations across ambulatory, inpatient, behavioral health, FQHC, and rural settings. Each EHR has its own page with exact endpoints, auth scheme, and go-live time.
One adapter per EHR, one mapping + conflict layer in the middle, and event-driven write-back to every downstream RCM module. The same architecture handles modern FHIR EHRs and legacy portal-only systems without changing how your teams work.
Source EHR
OpenEMR · Epic · Cerner · Athena · 20+ more
Adapter
FHIR R4 · REST + webhook · Stagehand RPA
Integration layer
Mapping · conflict workspace · circuit breaker · sync log
QuickRCM modules
Eligibility · Scribe · Coding · Claims · Payments · AR
Write-back
Verified coverage · finalized codes · claim status · payments · statements
Built for daily operations, not quarterly demos. These are the screens your integration engineers, RCM IT operators, and practice administrators actually open.
5-second daily glance: status circle per EHR, uptime this week, syncs in the last 24 hours, recent self-healed alerts, and pending conflicts aging.
Side-by-side resolution UI for fields the EHR and QuickRCM disagree on. Audit trail shows who changed what, when, and from which side.
JSONPath-driven mapping with a transform library, sample-payload testing, draft-then-promote workflow, and full version history.
QuickRCM picks the deepest available interface per integration. You don't have to know which one is in use; the conflict workspace, mapping editor, and Health dashboard look identical regardless of mode.
Preferred when the EHR exposes a USCDI-aligned FHIR R4 endpoint. SMART on FHIR launch context for in-EHR sidebars where available.
Typical EHRs: OpenEMR · Epic · Cerner · MEDITECH Expanse · NextGen · Greenway
Cloud-only EHRs publish event webhooks; QuickRCM consumes them and falls back to REST polling for any uncovered resource type.
Typical EHRs: athenahealth · DrChrono · Elation · ModMed · SimplePractice · TherapyNotes
QuickRCM logs into the EHR's web portal like a human, navigates the same screens, and pulls or writes the same fields — no portal scraping, no brittle macros.
Typical EHRs: Legacy on-prem EHRs · payer portals · niche specialty systems
Most EHR integrations are read-only and leave billing teams to re-type results into the chart. QuickRCM writes back as a first- class flow on every supported resource — so providers, coders, and front-desk staff see results in the system they already use.
Inbound · EHR → QuickRCM
Polled every 15 minutes (or pushed via webhook)
Outbound · QuickRCM → EHR
Event-driven, triggered when each module completes
Need a one-off urgent push? The Push to EHR action on any source record (Eligibility Check, Claim, Payment) bypasses the schedule and writes immediately, with the resulting Sync log row flagged MANUAL_PUSH.
Modules that ride on the write-back loop: Eligibility, AI Scribe, Medical Coding, Claims, Payment Posting, Patient AR, and Prior Authorization. Each one writes its outcome back into the chart through the same conflict workspace and audit trail described above.
An EHR going down is when most integrations break. QuickRCM is engineered for that case: per-EHR circuit breakers protect the tenant, the queue holds outbound work safely, and the Health dashboard shows what self-healed without anyone touching it.
CLOSEDOPENHALF_OPEN99.5%+
Weekly uptime target per EHR
Surfaced on the Health dashboard with a 7-day trend graph and per-day breakdowns.
< 60 sec
Mean time to detect drift
A 1-minute lightweight health check catches reachability changes; reconciliation runs each sync cycle.
Auto
Retry with exponential backoff
Outbound work parks in a queue while the breaker is OPEN, then drains automatically on recovery — no work is lost.
The integration layer is the riskiest part of an RCM stack — PHI flows through it constantly. These are the controls that keep that flow safe.
PHI is handled under the HIPAA Security Rule. BAAs are available for every customer that requires one, regardless of EHR.
TLS 1.2+ on every interface. AWS-managed encryption (AES-256) at rest on PostgreSQL, S3, and the message queue.
OAuth client_id/client_secret and API keys never sit in our application database. They live in AWS Secrets Manager with rotation support.
Every record carries an organizationId scoped at the database layer. Cross-tenant reads are not just prevented — they are not expressible.
Every sync attempt, conflict resolution, mapping change, and manual push records who, what, when, before, and after — preserved in the Sync log.
EHR_INTEGRATION, EHR_CONFLICT, and EHR_SYNC permissions can be granted independently. Read-only views of the Health dashboard for executives are supported.
Learn more
Background reading for engineers, IT directors, and CFOs scoping an integration. Reviewed by Dr. David Rawaf, MBBS (Imperial College London).
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Read guide →QuickRCM ships production-validated integrations for 25+ EHRs across ambulatory, inpatient, behavioral health, FQHC, and rural settings — including Epic, Oracle Health (Cerner), MEDITECH Expanse, athenahealth, eClinicalWorks, NextGen, Allscripts/Veradigm, Greenway, DrChrono, ModMed, Elation, SimplePractice, and OpenEMR. Each EHR has a dedicated /integrations/{ehr} page with exact endpoints, auth scheme, and typical go-live time.
Most cloud EHRs (FHIR R4 + webhooks) reach production in 2–4 weeks; on-premise or interface-engine deployments typically complete within 4–8 weeks. OpenEMR tenants often go live the same week — Test Connection auto-detects the FHIR resources, default field mappings cover ~140 of 144 standard fields, and a 90-day backfill runs out-of-band so it doesn't block daily syncs.
Three ways QuickRCM talks to your EHR. FHIR R4 is the modern healthcare standard — preferred when available (OpenEMR, Epic, Cerner, MEDITECH, NextGen, Greenway). REST is a more general-purpose API used by cloud-native EHRs (Athena, DrChrono, ModMed, Elation). Stagehand is browser automation — QuickRCM logs into the EHR's web portal like a human when no API exists. The conflict workspace, mapping editor, and Health dashboard look identical regardless of mode.
No. Sync is incremental — it pulls records changed since lastSyncedAt, not the whole database. The 1-minute health check is a single lightweight call to a metadata endpoint. Adaptive throttling stays inside per-tenant API quotas. Most practices report no measurable change in EHR responsiveness; for cloud EHRs with rate limits, the polling cadence is configurable.
The 1-minute health check notices fast, the per-EHR circuit breaker opens, and calls short-circuit instead of piling up. Outbound work parks in a queue. The Health dashboard shows yellow or red. When the EHR comes back, the breaker cycles to HALF_OPEN, sends one probe, and resumes on success — no work is lost and nothing leaks into other tenants.
Yes. QuickRCM is HIPAA-aligned with TLS 1.2+ in transit and AWS-managed AES-256 encryption at rest. OAuth credentials live in AWS Secrets Manager, not in the application database. Every record is scoped to your organizationId at the database layer, so cross-tenant reads are not expressible. RBAC permissions (EHR_INTEGRATION, EHR_CONFLICT, EHR_SYNC) can be granted independently. Every sync, conflict resolution, and mapping change is recorded with before/after values in the audit trail.
Yes. QuickRCM connects to Availity, Change Healthcare (Optum), Waystar, Trizetto/Cognizant, and Office Ally for 837 claim submission, 835 ERA retrieval, and 270/271 real-time eligibility. Existing clearinghouse contracts stay in place — QuickRCM sits alongside, not in front of, your EDI partner.
Open the Field Mapping editor, pick the EHR and resource (Patient, Encounter, Coverage, etc.), click Add Mapping, define the JSONPath into the EHR payload, pick the QuickRCM target field from the autocomplete, optionally apply a transform (formatPhoneE164, parseDateUS, mapIcd9ToIcd10, or a custom expression), test against a sample payload, then Save Draft → Promote to Production. It takes about a minute, and version history allows one-click revert if a wave of new conflicts appears.
Bring your EHR's name, base URL, and a sample resource payload. Walk out with a written connection plan — adapter type, field mappings to expect, go-live timeline, and a backfill plan for your historical data.