Stop re-keying at accepted admission
Carry the approved patient, episode, contacts, and eligible documents into the EHR at the milestone your operation already uses.
Behavioral Health
Run admissions on Salesforce, without the manual rework.
For treatment-center COOs and operations leaders: we set up and maintain the operations side of your program. Referrals, screening, and admissions carried by one system, accepted patients opening their own EHR charts, census and follow-up you can trust, and failures your team sees before they touch care.
30 minutes, free. Bring your EHR and your Salesforce edition.
HIPAA compliant
Certified experts
- Patients are entered once, not typed into two systems.
- Accepted admissions become complete EHR charts automatically.
- Our integrations run in production for years, not pilots.
Where admissions leaks
Six ways the handoff costs you, and what each looks like fixed
Read the card titles first. If more than two describe your operation, the admission seam is already costing staff hours every week.
Referrals with no next step
Calls and referrals arrive without a structured owner or action.
Double data entry
Staff re-enter the same demographics and insurance in two systems.
A person is the integration
Accepted admissions are typed into the EHR by hand.
Duplicates follow the patient
Every manual handoff is a chance to create a second record.
Failures are silent
A missed webhook or callout goes unnoticed until it touches care.
Census lives in spreadsheets
Leaders rebuild census and follow-up by hand to trust the numbers.
The same six, carried by the system ↓
Owned from first contact
Every inquiry lands with a source, an owner, and a next action.
Entered once
Patients are entered once and carried from screening to admission.
Charts open themselves
Accepted admissions become complete EHR charts automatically.
One patient identity
EHR identifiers write back, so repeat admissions attach to the right patient.
Failures are visible
Exceptions surface with an owner and a recovery path.
Census you can trust
Census and follow-up reflect operational truth without reconciliation.
Comparing how the two systems actually connect? Start with the three integration shapes below, then what each one costs.
The operating thesis
Keep clinical truth clinical. Make the admission journey one connected operation.
Your EHR can remain the home for treatment, documentation, prescribing, and billing. Salesforce can own inquiry, referral, verification, screening, admission coordination, and follow-up. The value appears when those roles are explicit and the handoff stops depending on a person.
We start with the operating seam, not a connector catalog. Then we choose the smallest reliable integration shape the vendor APIs, Salesforce limits, data sensitivity, and human recovery process can support.
Patient handoff rail
Five stages. Three ownership zones. One seam worth fixing first.
The rail makes system roles and operational failure points visible before anyone discusses endpoints or middleware.
Inquiry → VOB / screening → Admission → EHR → Census / follow-up
Ownership above the node. Failure mode below it.
Architecture view · no patient data
Salesforce
01Inquiry
Referral source, contact attempt, owner, and next action
Failure point
Calls and referrals arrive without a structured next step.
Salesforce
02VOB / screening
Eligibility work, screening status, documents, and follow-up
Failure point
Staff chase files, re-enter answers, or lose eligibility context.
Salesforce → EHR
03Admission
The accepted-admission milestone and controlled handoff
Failure point
A person becomes the integration, and duplicates start here.
EHR
04EHR
Clinical chart, episode of care, treatment, and billing truth
Failure point
The clinical record is late, incomplete, or disconnected.
Shared operations
05Census / follow-up
Operational visibility, discharge changes, and outreach
Failure point
Leaders reconcile spreadsheets while patients fall out of view.
First useful target: replace the admission re-entry seam, preserve the EHR as clinical truth, and give operations a monitored recovery path.
Check my integration fitOperational outcomes
The integration is valuable only when the work changes
These are the operating conditions the architecture should create, not a list of connector features.
Keep one patient identity
Write EHR identifiers back to Salesforce and make every create safe to retry, so repeat admissions attach to the right patient.
Make failures operational
Give staff a visible exception, owner, and recovery path instead of letting a missed webhook or callout become silent drift.
Trust census and follow-up
Reflect the dates and statuses that matter to operations without asking leaders to rebuild the answer in a spreadsheet.
Behavioral Health Integration Fit Check
Thirty minutes with your EHR and your handoff. You leave knowing the probable shape, the risks, and the honest next step.
Bring your EHR, Salesforce edition, and the handoff your staff repeats.
From fit to ownership
A clear path from uncertainty to an operable integration
The Fit Check qualifies the opportunity. The Blueprint contains the paid architecture work. Delivery and stabilization turn that definition into a system someone can actually own.
Integration Fit Check
Qualify the likely shape, surface vendor-access risk, and decide whether deeper scoping is warranted.
Integration Blueprint
Define record ownership, events, API capacity, identity, recovery, control questions, delivery phases, fixed scope, and price.
Fixed-scope build
Implement against workflow acceptance tests, with monitored failures, documentation, and explicit responsibility on both sides.
Stabilization + runbook
Prove replay and retry procedures, train the owner, and document vendor changes, mappings, alerts, and escalation paths.
Managed reliability
Monitor capacity, errors, retry age, vendor changes, and mapping health when the team wants us to keep the bridge operable.
Start with the current handoff and vendor access, not a shopping list of integrations. The first call determines whether there is a sensible path forward.
Check my integration fitThree integration shapes
Choose topology from the workflow, not from the most expensive diagram
Most operators need one direction done well before they need two directions done continuously.
Admission push
Admissions lives in Salesforce; the EHR needs a complete record only after acceptance.
Salesforce → patient, episode, contacts, documents → EHR
Use one guarded milestone. Do not pay for a continuous two-way sync when one dependable handoff closes the operational gap.
This is the production pattern behind the Opus admission build.
Inspect the architecture →Operational mirror
Clinical and scheduling teams work in the EHR while admissions and operations need current patient or appointment state in Salesforce.
EHR events → Salesforce; controlled writes → EHR
Decouple inbound events from record writes, preserve the EHR identifier, and monitor both directions.
This is the event-driven pattern behind the AdvancedMD integration.
Inspect the architecture →Connected operating layer
The EHR remains clinical truth, but census, intake documents, attribution, or follow-up need a stronger operating home.
EHR clinical truth ↔ selected operational facts ↔ Salesforce
Move the minimum useful data. Keep clinical narrative and clinical decisions in the system and teams designed to own them.
This is the shape behind the self-maintaining census and the intake document engine below.
See it in production →Systems this work connects
The bridge is built from platforms you already run
Salesforce
AWS
Claude
OpenAI
MCP
GoogleOpus EHRAdvancedMDn8nPlatform EventsREST + webhook APIsIntegrate or consolidate?
Fix the operating problem without forcing a platform answer
Integration is not always permanent and consolidation is not automatically simpler. Use the current clinical fit, ownership burden, access constraints, and migration risk to decide.
| Current reality | Better first move | Why |
|---|---|---|
| The EHR works for documentation, prescribing, treatment, and billing, but admissions lives elsewhere. | Integrate | Protect the clinical investment and fix the handoff creating duplicate work. |
| Teams re-key the same demographics, insurance, or intake packet in both systems. | Integrate | A defined system of record and one guarded handoff remove the immediate waste. |
| The vendor exposes partial APIs, limited webhooks, or restrictive batch windows. | Stage the bridge | Prove access and throughput first; use the narrowest reliable direction or cadence. |
| Both platforms are a poor operating fit and leadership has already justified migration risk and change. | Evaluate consolidation | Consolidation may reduce long-term complexity, but it is a clinical, financial, and adoption decision. |
| You need a near-term reduction in manual handoffs while the future platform decision is still open. | Integrate first | Close the expensive seam, measure the result, and preserve the option to consolidate later. |
The matrix is a scoping tool, not a clinical, compliance, legal, or procurement determination. The Fit Check replaces assumptions with your actual systems and workflow.
In production
Two real integrations, running today
Both run in production for behavioral-health operators.
AdvancedMD · operational mirror
Enter a patient once: both systems stay in step
A patient entered or updated in either system appears in the other within seconds, appointments included. Both systems agree on who the patient is, duplicate charts are stopped before they're created, and when something upstream breaks we see the error. The client doesn't discover it weeks later.
Real-time, both directionsDuplicate-proofHardened long past launch
Read the AdvancedMD architecture →Opus · admission push
An accepted admission builds its own chart
When admissions accepts a patient, the patient, their episode of care, their contacts, and their documents are created in the EHR automatically. Nobody re-keys the packet. A retry after a dropped connection never creates a second chart, and operations can re-send documents without calling engineering.
Patient + episode + documentsZero re-keyingSafe to retry
Read the Opus architecture →Verified client review
Behavioral health implementations
“Gray was a pleasure to work with. Easy to communicate with and knowledgeable about Salesforce and development in general. He completed the project within the timeframe we gave him, and I would definitely work with him again.”
The architecture links show what was actually delivered. The service behind them is Salesforce EHR integration, and it sits inside patient and case operations.
See selected work →Four more behavioral health systems, and what each one fixed
A psychiatric practice, an addiction-treatment network, a multi-facility center, and a virtual mental-health provider. Every one of these runs on core Salesforce.
One patient, one source of truth
A multi-state psychiatric practice ran intake twice, once in Salesforce and once in the practice-management EHR, and the two records drifted within weeks.
A buffered two-way connection means a patient is entered once and appears correctly in both systems. When the EHR adds a field, an admin maps it without a deployment, and every failed sync lands somewhere a human will see it.
From closed admission to a ready patient record
A national addiction-treatment network closed an admission in Salesforce and then started over, with clinical staff re-keying the patient into the EHR by hand.
The moment an admission is won, the patient, their episode of care, and their documents are created in the EHR, safe to re-run without ever producing a duplicate. The clinical screening files itself as a PDF and emailed benefits documents attach to the right admission.
The census that maintains itself
A multi-facility behavioral-health center watched the daily census break every time an admit or discharge date moved, and someone rebuilt it by hand each morning.
Change a date and the affected stays recalculate across earlier admissions, later admissions, discharges, exclusions, and transfers between facilities. It is built with declarative automation on purpose, so the client's own team maintains and extends it.
Clinician-grade intake without an add-on license
A virtual mental-health provider needed full pre-assessment documentation without buying a document-generation package.
Staff complete intake, the right template renders for each intake type, and the finished PDF files itself against the patient record. No recurring license fee, and a data model the next feature builds on.
The same playbook holds across all four. Bursts of webhooks, calls, and AI activity are absorbed by a buffer instead of hitting the database, so busy days do not become outages. Field mappings live where an admin can change them. Every create is safe to retry, so a patient is never duplicated. Every failure lands somewhere a human will look. The psychiatric practice also wired its voice-AI phone agent into the same spine, so a call becomes a structured Salesforce lead with demographics and insurance captured mid-conversation.
The engineering write-ups are public: the AdvancedMD real-time architecture, the Opus admission pipeline, and AI phone intake that lands as structured leads.
EHR CRM, core Salesforce, or Health Cloud?
Keep clinical work in the system clinicians trust, and add Salesforce only when it solves an operating problem the EHR should not own. The answer can be the EHR alone, core Salesforce plus the EHR, or Health Cloud plus the EHR. We start from the admissions journey, not a predetermined license.
| Option | Best when | What to test |
|---|---|---|
| EHR with built-in CRM | One platform covers inquiry through clinical and billing work well enough for the whole organization. | Referral depth, campaign attribution, multi-brand workflows, alumni, extensibility, and data portability. |
| Core Salesforce + EHR | Salesforce owns admissions, referrals, outreach, communication, or operational reporting while the EHR owns clinical truth. | System ownership, integration reliability, license mix, duplicate prevention, and support accountability. |
| Health Cloud + EHR | The healthcare data model, care workflows, patient context, and enterprise coordination capabilities earn their additional cost and ownership. | Implementation burden, overlap with the EHR, adoption, data-model fit, and total license cost. |
Health Cloud is not automatically required. Salesforce currently lists Health Cloud Enterprise at $350 per user per month and Unlimited at $525 per user per month, billed annually (current Health Cloud pricing). Those are platform license prices, not an integration estimate. Every system on this page runs on core Salesforce, and the integration approach works on either foundation.
If the EHR's own CRM already covers the workflow and the real issue is adoption or governance, integration is the wrong answer. If nobody can name the authoritative system for the records being synchronized, another license will not solve the operating ambiguity. When both systems have real daily users and one patient, the connection pays: two teams, two systems, and nobody re-keying.
What a behavioral health EHR integration costs
A search for the cost produces numbers that look precise and describe completely different projects. Anyone quoting off a requirements sheet is guessing. We price from discovery: four questions move the number, and you get a fixed price before a build starts, never an hourly meter.
Will your EHR vendor allow it?
Some vendors only let outside systems read records, not create them, and some charge separately for the access. We confirm what your vendor allows and what they charge before anything is priced.
How much needs to move, and which way?
A patient handed to the EHR once at admission is a smaller project than two systems staying in step all day. We find the smallest version that removes the manual work.
What happens when something goes wrong?
Duplicate patients and silently missing records are why staff stop trusting integrations. Preventing both is real work, and we price it in rather than pretend it will not happen.
Who runs it after launch?
Someone has to notice when the EHR vendor changes something. We either run it with you or hand it to your team with documentation. Skipping this is how integrations die in year two.
The Fit Check, free, 30 minutes. You bring the EHR, the Salesforce edition, and the step your staff repeats. You leave with the probable shape, the access risks to verify, and an honest recommendation, even when it is no custom build.
The Blueprint, paid, when the workflow warrants it. Which system owns each kind of record, exactly what moves and when, the duplicate and failure rules that keep staff trusting it, what your vendor agreement and compliance review require, and who owns it after launch. It ends in a fixed proposal.
The build. Fixed scope, fixed price, delivered in weeks, stabilized with documentation and an accountable owner. No change-order ambush, because discovery already answered the questions that cause them.
"The vendor supports FHIR" does not prove an admissions workflow can write records. AdvancedMD, for one, states that its regulatory FHIR implementation is read-only and that transactional writeback uses its Connect APIs under a developer agreement with licensing and support fees (AdvancedMD FHIR guidance). That access work belongs in the estimate, and so does the vendor's recurring fee. We also budget Salesforce API headroom for normal volume, bursts, retries, and replay rather than counting endpoints.
Book the Behavioral Health Integration Fit Check
30 minutes, free. Bring your EHR, Salesforce edition, and the handoff your staff repeats. You leave knowing the probable integration shape, the access risks to verify, and the honest next step.
Request the Fit Check
Or pick a time
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Probable integration shape
Whether the workflow points to an admission push, real-time mirror, or connected operating layer.
Access questions to verify
The vendor endpoints, webhooks, authentication, sandbox, licensing, and volume facts that can change the scope.
Highest-risk operating decision
The ownership, identity, duplicate, or failure-recovery decision most likely to determine whether the handoff works.
A qualified next step
Whether the seam is ready for a paid Blueprint, needs vendor discovery first, or does not justify a custom build.
No-PHI working rule. Use field names, sample schemas, redacted screenshots, and process notes. Do not send patient records, clinical narrative, or other PHI for the initial Fit Check.
Research before the call
Go deeper on the architecture
Use the write-ups below to brief IT, compliance, or finance before you map the workflow with us.
Reliability playbook
Budget Salesforce and EHR API capacity
Separate incoming Salesforce requests from outbound EHR callouts, then model polling, events, retries, and operating reserve.
Open resource →
AdvancedMD architecture
A real-time patient and appointment mirror
See the webhook, Platform Event, Flow, identity-writeback, and exception pattern from the audited production build.
Open resource →
Opus architecture
Closed Won to a complete EHR admission
Follow the guarded sequence that creates a patient, episode, contact, and eligible documents without re-keying.
Open resource →
Healthcare advisory
The broader patient-journey operating model
See how we approach Salesforce, EHRs, patient access, communication, operations, and responsible AI.
Open resource →
Care navigation
Patient engagement operations that scale
Messaging, presence-aware routing, nurse consoles, and engagement analytics for care-navigation and surgical episode programs.
Open resource →
Selected work
Delivery proof across our engagements
Review the systems, integrations, and operating changes behind the consultancy.
Open resource →
Behavioral health integration questions
What operators and IT leaders ask before they connect the systems
- Can Salesforce integrate with our behavioral-health EHR?
- Usually, if the EHR provides a usable API, webhook, file exchange, or supported batch path. The right design depends on what the vendor exposes, which system should own each record, how quickly the data must move, and how failures can be recovered. The Fit Check validates those constraints before a build is scoped.
- Are you proposing that Salesforce replace our clinical EHR?
- No. The usual model is Salesforce as the patient-access and operational layer around the EHR, while the EHR remains the clinical system of record. Consolidation is worth evaluating only when clinical fit, economics, migration risk, and team adoption support it.
- Do we need a full bidirectional integration?
- Not always. If admissions happens in Salesforce and the EHR only needs the patient after acceptance, one idempotent admission push may be the better design. A real-time mirror makes sense when teams in both systems need current state. We choose the smallest shape that closes the operational failure.
- Do we need Salesforce Health Cloud?
- Not by default. The integration patterns work with Health Cloud or a well-designed core Salesforce data model. Health Cloud should earn its place through clinical-model fit, capabilities, licensing, implementation burden, and the team that will own it.
- Is the integration HIPAA compliant?
- We are a HIPAA-compliant organization, and we build integrations to HIPAA-compliant standards under a BAA: minimum-necessary scope, controlled credentials, auditability, error handling, and test coverage on every path that touches patient data. Your overall compliance program (your agreements, policies, training, and vendors) stays yours to maintain and certify, and we make sure the integration is never the weak link in it.
- How do you account for 42 CFR Part 2?
- Part 2 obligations can depend on the program, the data, consent, the recipient or lawful holder, and current legal and regulatory interpretation. We do not make that legal determination. We map data flows, consent and redisclosure questions, access, and retention choices so your privacy, compliance, and legal owners can review the design before sensitive data moves.
- How much does a Salesforce-EHR integration cost?
- It depends on the integration shape, writable API access, identity matching, documents, data volume, security controls, testing, and post-launch ownership. A one-way admission push has fewer moving parts than a continuous bidirectional sync. We confirm those facts on the Fit Check, then a paid Blueprint ends in a fixed scope and price. These are fixed-scope builds delivered in weeks, not open-ended integration programs.
- Is the EHR vendor's API included in the implementation price?
- Not always. Some vendors charge separately for API licensing, sandbox access, certification, or ongoing support. Those are vendor costs, not consulting fees, and we separate them from the implementation fee so you can see who owns each cost. Salesforce licenses are separated from the build price the same way.
- We already tried a connector and it made duplicates. Why would this be different?
- Because identity and retry behavior are engineered rather than assumed. Our builds decide explicitly who owns each record, reuse the existing EHR patient for repeat admissions, and add re-entry guards around expected retries. One build exists specifically because a naive sync had produced hundreds of thousands of duplicate rows, so identity and reconciliation are part of the design from the start.
- Can AI handle patient intake?
- It already does at one of our clients: a voice-AI agent answers the phone and Salesforce receives a clean, structured lead with demographics and insurance. The AI vendor matters less than the integration discipline behind it, and the same buffer that protects the EHR sync keeps a rush of calls from becoming a rush of errors.
- What should we bring to the Behavioral Health Integration Fit Check?
- Bring the EHR product and version, your Salesforce edition, the handoff staff repeat, and any vendor API or interface documentation you already have. Field names, sample schemas, and redacted process artifacts are enough.
Behavioral Health Integration Fit Check
Map the handoff before you buy the bridge.
Free, 30 minutes, no obligation.
- Fit Check readout
- A probable integration shape for the workflow
- API, access, and system-of-record risks to verify
- A recommendation: vendor discovery, paid Blueprint, or no custom build
AutomaticAn accepted admission becomes a complete patient chart