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White Label Healthcare Patient Data Dashboard

There is no dedicated white-label patient data dashboard product on the market. A 'patient data dashboard' is a back-office analytics view over PHI — buyers typically don't need their brand in front of patients, so this is an internal tool question, not a white-label question. The closest options are HIPAA app platforms like Blaze.tech you configure yourself or reporting modules inside a white-label EHR (DocVilla). For PHI analytics, custom is almost always the honest recommendation.

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What is a white-label healthcare patient data dashboard?

A healthcare patient data dashboard is an analytics and reporting interface over Protected Health Information (PHI) — aggregated patient cohorts, population-health KPIs, no-show rates, outcome tracking, readmission flags, and similar back-office intelligence. Clinicians, practice managers, and health system executives use it to make operational and clinical decisions without touching individual records in the EHR. Because the audience is internal staff rather than patients, the buyer typically does not need their brand in front of end-users — which immediately changes the analysis.

The research on this topic is blunt: there is no dedicated 'white-label patient dashboard' product market. What exists are (1) HIPAA-compliant app platforms you configure into a dashboard — Blaze.tech is the clearest example, with all pricing sales-gated (verify) — and (2) analytics/reporting modules embedded inside larger white-label EHR products like DocVilla, also quote-based (verify). HIPAA Vault provides compliant hosting for custom-built dashboards. Off-the-shelf analytics modules from athenahealth and Tebra are not white-label: you use them under the vendor's interface and license.

A second complication is regulatory. If a patient data dashboard surfaces metrics that directly inform individual clinical decisions — flagging high-risk patients for intervention, driving prescribing recommendations — it may edge into the definition of Software as a Medical Device (SaMD) under FDA guidance. SaMD regulation is a distinct and significant compliance layer that no white-label app platform handles on your behalf. Flag this with your legal or compliance counsel before building.

Who uses this

Practice managers and health system operators who need a unified view of patient population metrics across locations; clinical quality teams tracking HEDIS measures, readmission rates, and care-gap closures; data and analytics teams at digital health companies building internal BI tooling over PHI; health technology companies building a reporting dashboard as a product feature to sell to clinic customers (the one scenario where 'white-label' framing makes sense).

There is no dedicated vendor market for a white-label patient data dashboard. The closest options are: Blaze.tech (blaze.tech), a HIPAA-compliant app platform you configure to build the dashboard yourself — pricing is sales-gated (verify); DocVilla (docvilla.com), which includes analytics reporting inside a white-label EHR engine — also quote-based (verify); and HIPAA Vault (hipaavault.com), which provides HIPAA-compliant hosting infrastructure for a custom build. Off-the-shelf analytics modules from athenahealth and Tebra are non-rebrandable SaaS products. For buyers who genuinely want to resell a branded analytics portal to other clinics, the honest path is custom — you build it once, host it on HIPAA-compliant infrastructure with your own BAA, and own the data model.

Quick verdict

For almost every buyer, the white-label frame is the wrong frame for a patient data dashboard. This is an internal tool — the buyer's patients are not the audience, so there is no brand-in-front-of-customer reason to pay white-label premiums. Choose off-the-shelf SaaS analytics if the reporting inside your existing EHR covers your needs, or commission a custom dashboard if your specific PHI metrics and data model are the value. The only scenario where white-label makes sense is if you are building a branded analytics product to sell to other clinics.

Go white-label if

Rarely — only if you are a health technology company reselling a branded patient analytics portal to clinic customers and configuring an existing HIPAA app platform (Blaze.tech) is faster than building from scratch.

Go custom if

Almost always — it is an internal tool, you need your own metrics and PHI data model, you must control PHI export and comply with minimum-necessary access under HIPAA, and you want to own the analytics logic rather than inherit a vendor's schema.

White-label vs off-the-shelf vs custom

The three real ways to run a Healthcare Patient Data Dashboard. The highlighted cell wins each row.

AspectWhite-labelOff-the-shelf SaaSCustom build
Time to launch4–10 weeks (HIPAA platform config)1–2 weeks (EHR reporting module)6–10 weeks
Upfront cost$0–$5,000 setup (est., HIPAA platform)$0 (bundled in EHR subscription)$13,000–$25,000 fixed
Monthly fees$42–$750/mo ($500–$9,000/yr est.)Included in EHR fee; $50–$300/mo add-on~$100/mo hosting
Branding depthConfigurable branding on HIPAA app platformVendor's UI — no rebrand100% your design, your metrics, your brand
Feature flexibilityLimited to platform's data connectors and chart typesVendor's pre-built metrics onlyAny KPI, any data source, any visualization
Code and data ownershipPHI held by vendor; export terms applyData possession only; vendor's termsYou own code and PHI data model
Scaling economicsPer-seat or per-location fees scale linearlyPer-seat; no margin above SaaS costFlat cost; add users and metrics at no extra charge
Exit optionsPHI export dependent on vendor contract termsVendor controls export format and timelineFull source code; migrate PHI warehouse anywhere

Swipe the table sideways to see all three paths.

Features a Healthcare Patient Data Dashboard actually needs

Must-havedeal-breakersEdgedifferentiators

HIPAA-compliant data warehouse with encryption

Must-have

All aggregated and raw PHI must be encrypted at rest (AES-256 or equivalent) and in transit (TLS 1.2+). The data warehouse storing patient cohorts and metrics must be covered by a BAA and hosted on SOC 2 Type II-attested infrastructure.

Signed BAA covering all data processors

Must-have

Every vendor that processes PHI to produce dashboard metrics — the data warehouse, the analytics engine, the BI tool, and any ETL pipeline — must be covered by a BAA. A HIPAA app platform that does not cover its subprocessors leaves PHI analytics legally unprotected.

Row-level security tying each viewer to permitted PHI

Must-have

HIPAA's minimum-necessary standard requires that each dashboard user sees only the PHI they are authorized to access. A physician should see only their patients; a billing analyst should see billing data only; an executive cohort view should mask individual identifiers. Row-level security enforced at the data layer — not just the UI — is the correct implementation.

Immutable audit logging of every PHI query

Must-have

Every dashboard query, filter, and export that touches PHI must be logged with the user's identity, timestamp, and query parameters. Logs must be tamper-evident (write-once storage) and retained for HIPAA's 6-year minimum. This is the audit trail that proves access was authorized in a breach investigation.

Configurable KPIs over PHI

Must-have

The dashboard should support custom metric definitions — not just a pre-built set of clinical KPIs. Practice managers need no-show rates; quality teams need HEDIS measure compliance; executives need revenue-cycle metrics. A pre-built metric library with limited customization is the most common limitation of configurable HIPAA app platforms.

FHIR and HL7 data ingestion from EHR sources

Must-have

Patient data originates in an EHR (athenahealth, Epic, Tebra, etc.). The dashboard must ingest data via FHIR R4 or HL7 v2 interfaces, not manual CSV uploads. Real-time or near-real-time ingestion (refresh under 1 hour) is required for operational dashboards; batch ingestion (nightly) is acceptable for population-health reporting.

De-identification and masking for non-clinical viewers

Must-have

Analysts, quality staff, and executives who do not need to see individual patient identifiers should work with de-identified or masked cohort data. HIPAA's Safe Harbor and Expert Determination standards define what constitutes de-identified data — neither standard is met by simply hiding names if 18 other identifiers remain visible.

Export controls and format-locked data export policy

Must-have

Exports of PHI from the dashboard — whether individual records or cohort lists — must be controlled, logged, and format-restricted. Allowing unconstrained CSV export of PHI to unmanaged devices is a common breach vector. Export should require approval workflow and produce only minimum-necessary fields.

Aggregated patient cohort and population-health metrics

Must-have

The core value of a patient data dashboard is cohort-level analysis — patients by condition, age group, payer, no-show history, or care-gap status. The platform must support cohort filtering, drill-down, and trend analysis over time without requiring the analyst to write SQL.

SSO and role-based dashboards per clinical role

Edge

Single sign-on (SAML 2.0 or OIDC) with the organization's identity provider ensures that dashboard access is tied to the employee's active employment status. Role-based dashboard views mean different staff see the metrics relevant to their function — not a one-size-fits-all view.

SOC 2 Type II hosting attestation

Edge

Independent audit confirming the dashboard's underlying infrastructure maintained security controls over a 6–12 month period. Request the actual Type II report — not a self-issued compliance badge — and verify the attestation date is within the last 12 months.

SaMD risk classification review

Edge

If any dashboard metric directly drives a clinical decision for an individual patient — not just population-level reporting — the tool may qualify as Software as a Medical Device under FDA guidance. This requires a risk classification assessment and potentially a regulatory pathway that no app platform manages on your behalf.

The real cost of a white-label Healthcare Patient Data Dashboard

Sticker price is never the whole story. Here is what you actually pay.

Setup fee

$0–$5,000

one-time onboarding

Monthly

$42–$750/mo

recurring, forever

Custom (one-time)

$13,000–$25,000 one-time

you own it

Revenue share is uncommon in healthcare analytics tools; most vendors use per-seat or per-location subscription pricing.

Hidden costs to budget for

SaMD regulatory compliance if dashboard drives clinical decisions

If the dashboard surfaces alerts or recommendations that directly inform individual patient care decisions, the FDA may classify it as Software as a Medical Device (SaMD). SaMD regulatory pathways (Pre-Sub, De Novo, 510k) add $50,000–$500,000+ in compliance costs and 6–24 months to time-to-market. No white-label or SaaS platform assumes this liability on your behalf — it is the builder's or operator's burden.

PHI export terms and data migration at termination

Many HIPAA SaaS agreements give you 'access to your account for 30 days after cancellation' — not a structured PHI export. If the contract does not guarantee the format (structured JSON, FHIR, or CSV), timeline (14 days or less), and cost (ideally zero) for a full data export, assume it will be expensive or slow. For a PHI warehouse with years of patient data, this is the most consequential hidden cost.

Per-seat metering for clinical staff access

HIPAA app platforms that host the dashboard typically charge per named user per month. A 30-staff clinical operation accessing a patient dashboard at $30–$50/seat/mo pays $10,800–$18,000/yr in seat fees before any per-feature add-ons — costs that accumulate invisibly on autopay.

EHR data integration and pipeline fees

Connecting the dashboard to an EHR via FHIR or HL7 often requires an integration add-on priced at $100–$500/mo per EHR connection, or a one-time integration fee of $1,000–$5,000. Multi-EHR environments (common in MSOs and health systems) multiply this cost per EHR source.

SLA and audit support upsells

Gartner research estimates ongoing support contracts at 15–25% of initial license revenue. For a HIPAA platform at $6,000/yr, expect $900–$1,500/yr in support/SLA fees for guaranteed response times and assistance with HIPAA audit documentation.

3-year cost reality

There is no true comparable white-label path — the closest option (a HIPAA app platform configured as a dashboard) costs an estimated $500–$9,000/yr plus per-seat and integration fees. Over three years that reaches $5,000–$30,000+, approaching or exceeding a $13K–$25K custom build that you own outright. Custom is almost always the more economical and more flexible path for a patient data dashboard once you account for seat fees, integration costs, and the PHI data-model ownership argument.

White-label launch roadmap

Launching a HIPAA-compliant patient data dashboard is primarily a data architecture and access-control problem, not a product-configuration problem. The technical stall points are EHR data pipeline setup and row-level security configuration, not vendor onboarding.

1

Compliance and data classification scoping

1–2 weeks

Map every data field the dashboard will display to its HIPAA classification (PHI, de-identified, or operational) and document who is authorized to see each field under the minimum-necessary standard. If any metric could drive individual clinical decisions, assess whether the dashboard qualifies as SaMD and engage compliance counsel before proceeding.

Watch out: SaMD classification is the most commonly missed compliance question in healthcare analytics. An 'at-risk patient alert' dashboard that flags specific patients for intervention may require FDA oversight — establish this in week one, not after launch.

2

Infrastructure and BAA setup

1–2 weeks

Provision HIPAA-compliant data warehouse infrastructure (AWS/GCP/Azure healthcare APIs with BAA, or a dedicated HIPAA hosting provider like HIPAA Vault). Execute BAAs with all infrastructure providers and any analytics or BI tool vendors. Configure encryption at rest and in transit, and set up the tamper-evident audit logging layer before any PHI is loaded.

Watch out: Cloud providers sign BAAs at the infrastructure level, but HIPAA compliance of the workload running on that infrastructure is the operator's responsibility. Provisioning an AWS instance with a signed BAA does not make the application HIPAA-compliant — the application's access controls and logging must be separately implemented.

3

EHR data pipeline and ingestion

2–3 weeks

Build or configure FHIR R4 or HL7 v2 ingestion pipelines from the source EHR(s) into the HIPAA data warehouse. Validate data completeness, handle patient-matching across systems (MRN disambiguation), and establish refresh cadence (real-time, hourly, or nightly based on operational need).

Watch out: EHR FHIR APIs vary significantly in which resources they expose and how completely they are populated. Epic's FHIR sandbox often behaves differently from production. Budget 1–2 weeks of integration testing per EHR source — more for legacy HL7 v2 interfaces.

4

Dashboard build, row-level security, and access controls

1–2 weeks

Build or configure the dashboard metric definitions, visualizations, and drill-down paths. Implement row-level security tying each user to their authorized PHI scope. Integrate SSO with the organization's identity provider and assign role-based access profiles. Run access control testing with representative users from each clinical role before loading production PHI.

Watch out: Row-level security bugs — where a misconfigured permission shows one staff member's patient data to another — are the most consequential and least obvious failure mode. Test with multiple user accounts simultaneously, not just one at a time.

5

Audit, training, and go-live

1 week

Confirm that audit logs capture every PHI access event with user identity and timestamp. Train clinical and administrative staff on the access controls, export policy, and escalation path for suspected unauthorized access. Go live with PHI in production and monitor audit logs daily for the first 30 days.

Watch out: The 30-day post-launch audit log review is not optional — it is how you catch misconfigured access controls before they become a reportable breach. Assign a named person to review logs daily for the first month.

Vendor red flags & what to ask

Before you sign, pressure-test every vendor with these. The wrong answer here costs you later.

Vendor markets 'HIPAA analytics' without a signed BAA

Any analytics tool that processes, stores, or visualizes PHI is a business associate under HIPAA. Operating without a signed BAA is a per-violation violation starting at $100/day and reaching criminal penalties for willful neglect. Marketing copy claiming 'HIPAA compliance' without executing a BAA is not sufficient.

Ask the vendor:Will you sign a BAA specifically covering your analytics processing of our patient PHI, including all subprocessors in your data pipeline? Can I see the BAA template before we evaluate your platform?

PHI data is not isolated at the row or patient level

Multi-tenant analytics platforms may share underlying storage or compute across clients. PHI from your patient population must be logically isolated — no cross-tenant query possible — and access must be enforced at the data layer, not just the UI.

Ask the vendor:How is our PHI isolated from other clients' data in your multi-tenant environment — at the storage level, query level, or only at the application UI level? Can a bug in your platform expose our patient data to another client?

De-identification means hiding names only

HIPAA's Safe Harbor standard requires removal or generalization of 18 specific identifiers, not just names. Platforms that claim to 'anonymize' patient data by removing the name field but leaving date of birth, ZIP code, diagnosis codes, and dates of service together have not de-identified the data under HIPAA.

Ask the vendor:What specific HIPAA de-identification standard (Safe Harbor or Expert Determination) does your platform use, and which of the 18 Safe Harbor identifiers does your de-identification process address?

No export guarantee for PHI at termination

Years of patient cohort data and analytics history have significant operational and regulatory value. A vendor who offers only 'dashboard access during your cancellation period' — not a structured PHI export — can effectively hold your data hostage after contract termination.

Ask the vendor:At termination, in what exact format (FHIR, structured JSON, or CSV), on what timeline, and at what cost can I export all patient data and analytics history from your platform? Is that guarantee in the contract?

Audit logs are a UI feature, not a write-once data layer

If audit logs can be edited, deleted, or overwritten by an administrator, they do not satisfy HIPAA's requirement for tamper-evident access records. Platform audit logs must be written to an append-only data store that cannot be modified through the application UI.

Ask the vendor:Are audit logs of PHI access stored in a write-once, append-only data store that cannot be modified through your platform's admin interface? Can you demonstrate this in a technical review?

Platform handles SaMD compliance on your behalf

No analytics platform — white-label or custom — can absorb the FDA SaMD regulatory burden for a dashboard that drives individual clinical decisions. Vendors who claim their platform is 'FDA-cleared' or 'SaMD-compliant' without specifying the clearance scope are creating false safety.

Ask the vendor:If our dashboard metrics directly inform individual patient care decisions, does that create SaMD obligations for us as the operator? What FDA classification, if any, does your platform hold, and what does that clearance actually cover?

How far can you actually customize it?

Typical branding

  • Custom domain for the dashboard portal
  • Logo and brand colors in the analytics interface
  • Branded PDF or CSV report exports
  • Custom metric names and terminology aligned to clinical vocabulary
  • Branded email delivery for scheduled reports
  • Role-labeled access tiers in the UI

Typical limits

  • Underlying PHI data model and schema — platform-defined
  • Available data connectors limited to vendor-supported EHR integrations
  • Dashboard visualization types constrained to platform's chart library
  • Row-level security configuration through the vendor's access-control UI only
  • Audit log format and storage infrastructure — vendor-managed
  • Product roadmap and metric library additions — vendor-scheduled

Custom unlocks

  • Your own PHI data warehouse with your schema — query any metric, any cohort, any time period
  • Custom row-level security logic matching your exact clinical role hierarchy
  • FHIR ingestion from any EHR source, including legacy HL7 v2 interfaces
  • SaMD-aware architecture if the dashboard informs individual clinical decisions
  • De-identification engine aligned to HIPAA Safe Harbor or Expert Determination standard
  • Direct BAA with your chosen cloud host — not inherited from a platform vendor

Which path fits you?

Practice manager needing operational KPIs over an existing EHR

White-label fits

A single-location practice manager who needs no-show rates, appointment utilization, and payer mix from data already inside Tebra or athenahealth. The EHR's built-in reporting module covers the need — no white-label or custom build required.

Health system analytics team building population-health BI

Custom fits

A quality team tracking HEDIS measures across 8 clinic locations, ingesting data from two different EHRs, needing cohort-level drill-down and care-gap alerting. Off-the-shelf analytics doesn't fit; a custom HIPAA data warehouse with role-based dashboards is the only viable path.

Digital health company building analytics as a product feature

Custom fits

A digital health startup building a patient analytics portal to sell to independent practices as a SaaS product. They need to own the data model, execute their own BAAs, and differentiate on metric depth. Custom is the only defensible path for a product you intend to commercialize.

MSO or healthcare agency managing PHI across multiple practices

Custom fits

A management services organization overseeing 10 practices needs cross-practice cohort comparison, de-identified benchmarking, and role-based access isolating each practice's PHI from others. A configured HIPAA app platform may be viable; custom gives full control over the multi-tenant PHI isolation logic.

Solo clinician or small practice exploring analytics for the first time

White-label fits

A solo practitioner wanting basic patient volume and appointment metrics for internal reporting. The EHR's existing analytics module is almost certainly sufficient — no investment in a separate dashboard platform is justified at this scale.

A white-label you actually own

Renting someone else's Healthcare Patient Data Dashboardworks until it doesn't. RapidDev builds you a custom, fully-branded platform using AI-accelerated development — delivered in weeks, and yours to keep with zero recurring platform fees.

1

Discovery call (free)

30 min

We map exactly what your Healthcare Patient Data Dashboard needs — the features white-label vendors gate behind upgrades, your branding, integrations, and users. You get a scoped, fixed-price quote within 48 hours.

2

AI-accelerated build

6–10 weeks

Our engineers use Claude Code, Lovable, and custom AI tooling to build 3–5x faster than traditional agencies. You review progress in a live staging environment every week — never a black box.

3

Launch + handoff

1 week

We deploy to your infrastructure, hand over the GitHub repo, wire up CI/CD, and walk your team through the codebase. You own 100% of it — no per-seat fees, no vendor lock-in.

What you get

HIPAA-compliant data warehouse (AWS/GCP/Azure healthcare APIs) with BAA and encrypted PHI storage
FHIR R4 or HL7 v2 ingestion pipeline from one primary EHR source
Tamper-evident audit logging of all PHI access events
Row-level security enforced at the data layer for each clinical role
Configurable KPI dashboard with cohort filtering, trend charts, and drill-down
SSO integration (SAML 2.0 or OIDC) with the organization's identity provider
De-identification layer for non-clinical viewer roles
Structured PHI export API for full data portability

Timeline

6–10 weeks

Investment

$13K–$25K fixed

Breakeven

no true white-label comparable exists; vs configuring a HIPAA app platform at an estimated $500–$9,000/yr plus per-seat and integration fees, a custom build removes vendor lock on the PHI data model within roughly 1.5–4 years — and the ownership and data-portability argument is decisive regardless of the cost math

Get your free estimate

30-min call. Fixed-price quote within 48 hours. No commitment.

Frequently asked questions

Does a dedicated white-label patient data dashboard market exist?

No — this is the honest answer, and it matters for your budget. There is no product you can license and rebrand as a 'patient data dashboard.' The closest options are HIPAA app platforms (Blaze.tech) you configure to build a dashboard, or analytics modules inside larger white-label EHR products (DocVilla). Both are sales-gated with pricing you will need to negotiate. For most buyers, the real choice is off-the-shelf EHR analytics or a custom build.

How much does building a healthcare patient data dashboard cost?

There is no published white-label rate card for this category. Configuring a HIPAA app platform as a dashboard costs an estimated $500–$9,000+/yr (plus per-seat and integration fees), based on the same range cited for HIPAA white-label products generally. A custom HIPAA dashboard built by RapidDev runs $13K–$25K one-time with roughly $100/mo hosting — and you own the PHI data model and analytics logic outright.

Does a patient data dashboard qualify as Software as a Medical Device (SaMD)?

Potentially yes — and this is the standout compliance question competitors won't mention. If your dashboard surfaces alerts or recommendations that directly inform individual clinical decisions (flagging a specific patient as high-risk for intervention, driving a prescribing recommendation), the FDA may classify it as SaMD. SaMD regulatory pathways add significant time and cost. If your dashboard is population-level reporting only — cohort metrics with no individual-patient alerts — SaMD risk is low. Get clarity from your compliance counsel before building.

Do I own my patient data with a white-label analytics platform?

You have possession but not necessarily ownership or portability. Many HIPAA SaaS agreements give you dashboard access for 30 days after cancellation — not a structured PHI export. Get the export format (FHIR, structured JSON, or CSV), timeline (14 days or less), and cost (ideally zero) in writing before signing. Without a written export guarantee, years of patient cohort and analytics data may be effectively stranded at termination.

What does HIPAA's minimum-necessary standard mean for a patient dashboard?

Minimum-necessary means each dashboard user should see only the PHI required to do their specific job. A billing analyst doesn't need clinical notes; a clinician doesn't need another provider's patient list; an executive should work with de-identified cohort data where possible. Row-level security enforced at the data layer — not just the UI — is the technically correct implementation. Minimum-necessary violations are among the most common HIPAA audit findings.

White-label platform vs custom build — what's the real cost difference?

Configuring a HIPAA app platform as a patient dashboard costs an estimated $500–$9,000+/yr plus per-seat fees of $30–$50/user/mo and integration costs of $100–$500/mo per EHR. Over three years that reaches $10,000–$40,000+ for a mid-size team. A custom build at $13K–$25K one-time plus ~$100/mo hosting costs $16,600–$28,600 over three years — with no seat fees, no integration add-ons, and full PHI data model ownership. Custom is almost always more economical and more flexible for this use case.

Can RapidDev build a custom HIPAA-compliant patient data dashboard?

Yes. RapidDev builds HIPAA-compliant patient analytics dashboards in 6–10 weeks for a fixed $13K–$25K — including HIPAA data warehouse with BAA, FHIR EHR ingestion, row-level security, audit logging, SSO integration, and full source code handover. Book a free scoping call at rapidevelopers.com to discuss your PHI data sources and metric requirements.

How is a patient data dashboard different from a clinical dashboard inside an EHR?

An EHR's built-in clinical dashboard shows real-time patient records and workflow status — it is designed for point-of-care use by a single provider. A patient data dashboard aggregates population-level PHI across many patients, locations, or time periods for operational and strategic analysis. EHR dashboards are included in your EHR subscription; population analytics dashboards are a separate tool that ingests data from the EHR via FHIR or HL7 and presents it in a different context — often to non-clinical administrators.

RapidDev

Own your Healthcare Patient Data Dashboard, don't rent it

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  • You own 100% of the code
  • No monthly platform fees
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