Top EHR integration companies (August 2026 Update)

Every EHR integration project starts with a clean diagram and fails somewhere in the pipe. The plan looks simple: connect your app to the hospital's EHR, pull the patient record, push your data back. Then the first real feed arrives. It is HL7 v2, not the tidy FHIR JSON the demo used. A field the spec called optional is missing in half the messages. Getting production access to Epic turns out to be a program with agreements and review cycles, not an API key you request on a Friday. The lab-result feed works for one health system and breaks for the next because they configured the same standard differently. EHR integration lives and dies on the parts a diagram cannot show: which standards actually flow, how you get credentialed into each EHR, how you handle a message that arrives malformed, and how you move protected health data without ever losing control of it. The companies on this list have shipped integrations where those decisions were made up front, not discovered in production.

The reason this category is hard to buy well is that two very different kinds of company answer the same search. Some are data-network platforms and FHIR servers you subscribe to for pre-built connectivity. Others are engineering firms you hire to build a custom integration. They solve different problems, price in completely different ways, and choosing the wrong shape is the most common and most expensive mistake here. This guide is organized around that distinction, and around the questions that separate a firm that will ship a working integration from one that will hand you a rework bill: how deep their standards knowledge really goes, how they get EHR access, who owns the credentials and data, and what they do when a feed does not match the spec.

The eight EHR integration companies and platforms on this list are Redox, RaftLabs, Health Gorilla, 1upHealth, Particle Health, NextGen Connect (Mirth Connect), Aidbox by Health Samurai, and OSP Labs. RaftLabs is on this list. We wrote our own entry with the same directness we applied to everyone else.

How we evaluated this list

A buyer's guide is only as honest as its criteria, so here are ours before the companies. We did not rank on brand or size. We weighted real evidence of shipped healthcare integration, genuine depth across the standards EHR data actually uses, how each option gets and manages EHR access, transparency on how work is priced, and the compliance and data-governance discipline that health data demands. Because this list mixes platforms you subscribe to with firms you hire, we judged each on the terms that fit its shape and say plainly which shape it is. Where a pricing figure came from a third party rather than the vendor, we flag it and hedge rather than repeat a number we could not confirm.

We evaluated companies and platforms on five criteria:

No company paid for placement on this list.

1. Redox

Redox is a cloud-based healthcare data integration platform that acts as a standardized layer between healthcare applications and EHR systems. Instead of building a separate connection to each hospital, you connect once to Redox, and it handles the translation and routing to the EHRs on the other side. The platform ingests legacy formats such as HL7 v2, C-CDA, X12, and DICOM and exposes them through a modern FHIR-based API, with data enrichment and orchestration so you can control how records move with conditional rules.

Redox is a platform you subscribe to, not a firm you hire to write a bespoke integration. That distinction is the whole point of the entry. For a digital-health company that needs to connect to many health systems and wants one connection to maintain instead of dozens, a network like Redox turns a multi-year integration backlog into a subscription. The trade-off is that you work within its data model and its economics, and for a single, deep, unusual integration a network can be more than you need.

The reason a network earns its place is scale that a custom build cannot match quickly. Redox reports thousands of integrations refined across dozens of EHRs and other source systems, processing tens of millions of data transactions each day. That accumulated connectivity is the value: someone has already met the way one health system misconfigures an HL7 feed and handled it, so you do not have to. The honest caveat is that this reach is standardized. If your product needs a connection nobody else has built, or a data model the network does not express, you are back to custom work, and a network subscription on top of that can become a cost you did not plan for.

Notable work -- Redox is a widely used interoperability network across digital health, with published reach spanning thousands of integrations and dozens of EHR systems. Specific client engagements vary by product; ask for references in your exact use case and confirm which of the EHRs you need are already live on the network.

Pricing signal -- Redox does not publish pricing. Third-party analyses cite monthly minimums in the tens of thousands plus per-transaction fees, so treat any figure you see as directional only and confirm the model directly against your expected volume.

What to watch -- Redox is a connectivity network, not a custom-build shop. It fits products that need broad, repeatable EHR connections. A team that needs one deep, unusual integration, or that wants to own every layer of the pipe, should weigh a custom build or a self-run engine instead.

• Best for: Digital-health products that need broad, repeatable connectivity to many EHRs through one maintained connection.

• Specialization: EHR connectivity network, HL7-to-FHIR translation, data orchestration

• Pricing: Not published; subscription plus per-transaction (third-party figures only)

• Clutch: Not a Clutch-rated dev shop -- judge on customer references and uptime

2. RaftLabs

RaftLabs is an AI-first tech studio that has built custom software for established businesses since 2015, with real healthcare work spanning remote patient monitoring and telehealth. Its custom EHR integration software builds center on the parts of health-data integration that decide whether a project survives contact with a real hospital feed: HL7 v2 and FHIR translation, connected-device data, HIPAA-grade access control, audit logging, and clean connections into the clinical and third-party systems a provider already runs. Engagements start with a scoped discovery sprint that fixes the integration list, the standards in play, and the access path before a line of production code gets written.

The reason that order matters is specific to EHR work. The two things that quietly blow up integration timelines are getting production access to each EHR and handling data that does not match the spec, so RaftLabs treats both as first-class decisions rather than late surprises. Compliance, audit trails, and data minimization are designed into the pipeline from the start, not layered on after the first protected record moves.

In practice the discovery sprint produces two artifacts before design begins: an interface map that lists every system the integration must exchange data with, the standard each one speaks, and the direction data flows; and an access plan that names each EHR vendor program or network the project depends on and the credentialing steps to get in. Those two documents are where most of the real cost and risk live, and pinning them down early is what lets a fixed price hold. RaftLabs has shipped healthcare products in this territory -- remote patient monitoring that pulls from connected devices such as glucose and blood-pressure monitors, and telehealth built on HIPAA-eligible cloud infrastructure with video and e-signature integrations. That is the experience that turns a malformed feed or a missing field into a handled case rather than a production incident.

Notable work -- RaftLabs has shipped 100+ products since 2015, including remote patient monitoring and telehealth platforms for US healthcare clients, built on HIPAA-eligible AWS with connected-device and third-party integrations. It has not published a standalone Epic or Cerner interface case study on this list, so ask to see relevant HL7, FHIR, and device-integration work directly during scoping.

Pricing signal -- $29-$49/hr with fixed-price engagements and milestone payments, scoped after the discovery sprint that defines the interface map and access plan. Fixed-price suits buyers who want a known number before standards and access complexity gets priced in.

What to watch -- RaftLabs owns the full delivery stack -- discovery, architecture, engineering, and delivery -- which fits providers and digital-health companies building a custom integration end to end. A team that only needs broad, pre-built connectivity to many health systems fast is better served by a data-network platform; a team with strong internal engineers who just need a running interface engine may prefer to self-host one.

• Best for: Providers and digital-health companies building a custom EHR or device integration end to end without hiring an internal integration team.

• Specialization: HL7 v2 and FHIR integration, connected-device data, HIPAA-grade access and audit, discovery-led delivery

• Pricing: $29-$49/hr, fixed-price engagements

• Clutch: 4.9/5

3. Health Gorilla

Health Gorilla is a health-data network and API platform, and a designated Qualified Health Information Network under TEFCA. Where a point-to-point integration connects you to one system at a time, Health Gorilla gives programmatic access to a national data layer: record retrieval, data contribution, notifications, and diagnostic ordering, delivered through FHIR APIs and embedded viewers. For a product that needs to find and pull a patient's records from across the country rather than from a single named EHR, that national reach is the differentiator.

Health Gorilla is a network you subscribe to and build against, not a firm that writes your custom integration. It fits teams that need TEFCA-grade nationwide data access and lab connectivity as a service. It is a different tool from an engineering partner, and a team whose real need is one deep, bespoke interface into a specific hospital system may find a network is broader than the problem.

The value of a QHIN-designated network is the connectivity and the governance that come with it. Health Gorilla connects to major diagnostic labs and to the national exchange framework, so a developer can order labs or retrieve a longitudinal record through one API rather than negotiating each connection separately. The honest caveat is the same one that applies to every network: you inherit its data model, its coverage, and its per-use economics. Confirm that the specific labs, health systems, and record types your product depends on are actually reachable through the network before you build on it, and model the transaction costs against your expected volume.

Notable work -- Health Gorilla is a dual-designated QHIN and health-data network with documented lab connectivity to major diagnostics providers including LabCorp and Quest. Specific customer results vary; ask for references in your use case and confirm coverage for the systems and record types you need.

Pricing signal -- Pricing scales with use case and volume. Third-party comparisons have cited an annual subscription near the low tens of thousands for smaller organizations plus a one-time implementation fee; treat that as directional and confirm current pricing directly.

What to watch -- Health Gorilla is a network platform, not a custom-integration builder. It fits teams needing nationwide record access and lab ordering as a service. A team needing one bespoke, deep interface into a specific EHR should look at a custom build or a self-run engine instead.

• Best for: Products needing nationwide, TEFCA-grade record retrieval and lab ordering through a single API.

• Specialization: QHIN health-data network, FHIR APIs, diagnostic lab connectivity

• Pricing: Subscription plus usage; confirm directly (third-party figures only)

• Clutch: Not a Clutch-rated dev shop -- judge on network coverage and references

4. 1upHealth

1upHealth is a FHIR-native data platform built around claims and clinical data acquisition, exchange, and analysis, with a strong focus on payers and CMS interoperability requirements. It ingests HL7 v2, C-CDA, X12, batch files, and APIs into a unified health-data layer and exports normalized FHIR R4 for downstream apps and analytics. For a health plan that has to meet Patient Access, Provider Access, and Payer-to-Payer mandates, a platform built for exactly those rules is a shorter path than assembling the compliance stack yourself.

1upHealth is a platform you license, not a firm you hire for a one-off build. Its center of gravity is the payer and regulated-interoperability world, which makes it a natural fit for health plans and a less obvious one for, say, a small provider that just needs a single clinical feed. Knowing which side of that line you are on is the first filter.

The reason a compliance-focused platform earns its place is that CMS interoperability rules are detailed, dated, and unforgiving, and a platform that has already implemented Patient Access APIs, provider directories, and payer-to-payer exchange saves a team from rebuilding that logic under a regulatory deadline. 1upHealth combines clinical and claims data into one FHIR model, which is genuinely useful for the analytics and member-facing apps payers are now required to support. The caveat is scope: if your need is a narrow clinical integration rather than payer-scale interoperability, you may be paying for a specialization you will not fully use. Confirm the specific mandates and data types you must support map to what the platform delivers.

Notable work -- 1upHealth is positioned around payer and CMS interoperability compliance, with a FHIR-first platform spanning Patient Access, Provider Access, Payer-to-Payer, prior authorization, and formulary use cases. Ask for references from organizations under the same mandates you face, and confirm the platform covers your required data types.

Pricing signal -- Pricing is not publicly disclosed; the platform is licensed at the enterprise level, often as a full-platform license across its product set. Request a quote scoped to the specific mandates and data volumes you need.

What to watch -- 1upHealth is strongest for payer-scale, regulation-driven interoperability. A provider or startup needing a single clinical interface, with no payer-compliance requirement, is likely over-buying. Match the platform's payer focus to your actual obligations before committing.

• Best for: Health plans and payers meeting CMS interoperability mandates with combined clinical and claims data.

• Specialization: FHIR-native platform, payer interoperability, claims plus clinical data

• Pricing: Not publicly disclosed; enterprise license

• Clutch: Not a Clutch-rated dev shop -- judge on compliance references

5. Particle Health

Particle Health is a healthcare-data API that aggregates a patient's medical records from the national exchange networks -- Carequality, CommonWell, and eHealth Exchange -- along with TEFCA partners and other sources, through a single connection. Its pitch is breadth: retrieve a longitudinal record for a patient from across a large share of US EHRs without building a connection to each one. The API surfaces patient registration, asynchronous query orchestration, batch processing, document handling, and real-time alerting, and returns clinical data in FHIR, flat, and C-CDA formats.

Particle is a data-retrieval network you build against, not a custom-integration firm. It fits products whose core need is pulling existing records at scale -- care coordination, risk assessment, patient onboarding -- rather than pushing structured data back into a specific hospital's workflow. A team that needs deep, bidirectional integration with one named EHR is solving a different problem than the one Particle is built for.

The reason a query network earns its place is that record retrieval across the national networks is genuinely hard to assemble yourself, and Particle has done the connective work through one API. For a product that needs to know a new patient's history quickly, that breadth changes what is possible. The honest caveats are coverage and direction. Network reach is broad but not total, and the data you get back is whatever the source systems hold, in whatever quality they hold it, so plan for deduplication and normalization on your side. Confirm the specific networks and record types you depend on are reachable, and be clear that a retrieval network is not the same as a two-way write integration.

Notable work -- Particle Health connects to the national exchange networks and TEFCA partners to retrieve records across a large share of US EHRs through one API. Specific customer outcomes vary; ask for references in your use case and confirm the coverage and data quality you can expect for your patient population.

Pricing signal -- Pricing is not publicly disclosed. Expect a usage-based model tied to queries or records retrieved; request a quote scoped to your expected volume and confirm what a typical query returns before you commit.

What to watch -- Particle is built for record retrieval at scale, not two-way integration with a single EHR. A team needing to write structured data back into a specific hospital system, or a deep bespoke interface, should look at a custom build or an engine instead.

• Best for: Products that need broad, single-API retrieval of longitudinal patient records across national networks.

• Specialization: National-network record retrieval, query orchestration, FHIR and C-CDA output

• Pricing: Not publicly disclosed; usage-based

• Clutch: Not a Clutch-rated dev shop -- judge on network coverage and references

6. NextGen Connect (Mirth Connect)

NextGen Connect, still widely known as Mirth Connect, is a cross-platform healthcare interface engine: software you run to filter, transform, and route messages between systems. It is the workhorse of HL7 integration for a large share of the industry, handling bidirectional message flow across standards including HL7 v2 and FHIR, plus web-service calls, JSON, and cloud data streams. NextGen reports that Mirth Connect powers a substantial portion of public Health Information Exchanges and moves hundreds of millions of clinical messages annually across many countries.

Mirth is not a company you hire or a subscription that connects you to hospitals. It is a tool your team, or a partner, deploys and operates. That is the entry's key distinction: it gives you full control over every channel and transformation, in exchange for owning the engineering, hosting, and maintenance. For a team with the depth to run it, that control is the appeal. For a team without it, an engine is a foundation, not a finished integration.

The reason an interface engine earns its place is that it is the most flexible way to route and reshape health-data messages, and Mirth has a long production track record doing exactly that. One important change to weigh: as of early 2025, NextGen moved Mirth Connect to a commercial license. The existing open-source version can still be used but is no longer receiving updates, so a team choosing Mirth today must decide between running an unmaintained free build and paying for the supported commercial product. Factor that into any total-cost estimate, and remember that the engine handles routing and transformation -- it does not, by itself, get you credentialed into Epic or Cerner.

Notable work -- Mirth Connect is one of the most widely deployed interface engines in healthcare, underpinning many Health Information Exchanges and large-scale message flows internationally. It is infrastructure rather than a client-services firm, so evaluate it on fit, reliability, and the support path you choose.

Pricing signal -- The legacy open-source build is free but no longer updated as of 2025; the supported product is now commercially licensed. Your real cost is the license plus the engineering time to deploy, secure, and maintain the engine and its channels. Budget for operations, not just setup.

What to watch -- Mirth is an engine you run, not a done-for-you integration or a hospital connection. It rewards teams with real integration engineering depth. A team without that depth, or one that wants pre-built connectivity, should pair it with a build partner or choose a network instead.

• Best for: Teams with integration-engineering depth that want full control over message routing and transformation.

• Specialization: HL7 and FHIR interface engine, message routing and transformation, self-hosted

• Pricing: Legacy free build (unmaintained); commercial license for the supported product, plus operations cost

• Clutch: Not applicable -- open-source and commercial software, not a services firm

7. Aidbox by Health Samurai

Aidbox, from Health Samurai, is a FHIR server and platform built on PostgreSQL for teams building FHIR-native health applications. It is a certified FHIR R4 and R5 server with SMART on FHIR support and bulk export, designed for high-load medical products and integrations. Where a network gives you connectivity and an engine gives you routing, Aidbox gives you the data backbone: a compliant, queryable FHIR store you build your product on top of. Health Samurai reports the platform is used by hundreds of healthcare vendors.

Aidbox is a platform and infrastructure you license and build on, not a firm that delivers a finished integration. It fits engineering teams that have decided FHIR is their native data model and want a production-grade server rather than building one from scratch. A team that needs someone to design and deliver the whole integration, rather than a backbone to build on, is buying a different thing.

The reason a purpose-built FHIR server earns its place is that standing up a compliant, performant FHIR store is real work, and getting it wrong at the data layer is expensive to unwind later. Aidbox runs on PostgreSQL, which teams can operate and reason about, and its multi-version FHIR support and SMART on FHIR make it a fit for both new apps and integration layers. The caveat is that it is a building block. You still need the engineering to model your data, connect your sources, and handle the messy legacy formats that arrive before anything becomes clean FHIR. Aidbox handles the FHIR half well; the HL7 v2 and normalization half is still yours or your partner's to build.

Notable work -- Aidbox is a certified FHIR platform used by hundreds of healthcare vendors for FHIR-native apps and integration layers, with support spanning FHIR R4 through R6 and SMART on FHIR. Ask for references from teams with a similar architecture and confirm the platform fits your data model and load profile.

Pricing signal -- Aidbox is free for development, with a paid production tier; specific add-on modules are separately priced, such as its billing module cited around $8,000 per year. Core production pricing is not fully published, so request a quote scoped to your environment and load.

What to watch -- Aidbox is a FHIR backbone, not a full integration service. It fits teams that will do the modeling and source-connection engineering themselves or with a partner. A team wanting a finished, delivered integration should pair it with a build firm or choose a done-for-you option.

• Best for: Engineering teams building FHIR-native products that want a certified, production-grade FHIR server.

• Specialization: FHIR R4/R5/R6 server on PostgreSQL, SMART on FHIR, bulk export

• Pricing: Free for development; paid production tier plus priced modules; confirm directly

• Clutch: Not a Clutch-rated dev shop -- judge on architecture fit and references

8. OSP Labs

OSP Labs is a custom healthcare software firm with a dedicated interoperability and EHR-integration practice. Where the platforms above give you connectivity or infrastructure, OSP is a firm you hire to build and deliver integrations against specific systems: Epic, Oracle Health (Cerner), eClinicalWorks, Centricity, and others, using HL7, FHIR, DICOM, and Mirth-based middleware. For a provider or health-tech company that needs a bespoke interface delivered and does not want to run the engineering itself, a specialist services firm is the right shape.

OSP positions itself as a healthcare-only custom developer, which is worth paying attention to rather than dismissing as marketing. Health-data integration carries patterns a team either has internalized or has not: the difference between HL7 v2 and FHIR in production, the credentialing path into each EHR vendor program, and the validation and error handling that a real feed demands. A firm that works only in healthcare raises these on the first call rather than after they become defects.

The reason a specialist services firm earns its place next to the platforms is that someone still has to do the bespoke connective work the networks do not cover, and OSP is built for exactly that. It describes deep interface work across the major EHRs, routed through dedicated integration delivery, which is the kind of hands-on engineering a point solution cannot replace. The honest caveats are the ones that apply to any services firm: verify the specifics. OSP publishes large project and client counts on its own site, so ask for references in your exact EHR and use case, confirm current pricing directly, and check its independent review profile before you sign rather than relying on self-reported totals.

Notable work -- OSP Labs runs a healthcare-focused custom-development and interoperability practice with integration services across Epic, Oracle Health (Cerner), eClinicalWorks, and Centricity, using HL7, FHIR, DICOM, and Mirth-based middleware. Client and project totals are company-stated, so ask for references in your specific EHR and use case.

Pricing signal -- Pricing is not publicly listed; work is project-based. Request a quote with a per-interface breakdown, and confirm what each EHR connection and the access process actually cost before committing.

What to watch -- OSP is a custom services firm, so it fits buyers who want an integration designed and delivered for them. A team that only needs pre-built network connectivity, or that has the depth to run its own engine, may not need a full services engagement. Verify references, current pricing, and its review profile directly.

• Best for: Providers and health-tech companies wanting a bespoke EHR integration designed and delivered by a healthcare specialist.

• Specialization: Custom EHR integration, HL7/FHIR/DICOM, Mirth-based middleware, Epic and Cerner interfaces

• Pricing: Not publicly listed; project-based

• Clutch: Profile listed; confirm rating and references before engaging

Side-by-side comparison

The question that separates data networks from custom-build teams

Most buyers compare EHR integration options on price or brand and get the model wrong before they get the vendor wrong. The real fork on this list is not which company, it is which shape of solution fits your problem: buy pre-built connectivity from a data network, run an interface engine yourself, or hire a team to build a custom integration. Picking a company before you have answered that question is how organizations pay for a national network when they needed one deep interface, or spend months hand-building connectivity that a subscription would have delivered in weeks.

Data networks and platforms -- Redox, Health Gorilla, 1upHealth, and Particle Health -- serve the team whose need is breadth and speed: connect to many systems, retrieve records across the country, or meet a regulatory mandate without building the plumbing yourself. Their value is accumulated connectivity and governance you could never assemble as fast alone. Their limit is that you work within their data model, their coverage, and their per-use economics, and they do not write the bespoke connection nobody else has built. Interface engines and FHIR servers -- Mirth Connect and Aidbox -- sit one layer down: they are the infrastructure a capable team runs to route, transform, and store health data on its own terms, powerful in the right hands and a burden in the wrong ones.

Custom-build teams -- RaftLabs and OSP Labs -- serve the organization whose workflows, data model, or specific systems are the reason off-the-shelf connectivity keeps falling short. That is when a bespoke integration earns its cost: when the thing that makes your integration hard is also the thing no network handles, or when you need a two-way, deeply embedded connection rather than broad retrieval. The best of these firms will tell you honestly, before quoting a build, when a network or an engine would serve you first, and many real programs end up combining all three: a network for national reach, an engine for internal routing, and custom work for the connections that are uniquely yours.

There is a practical test for which shape you are on. Write down the systems you must connect and what has to flow between them. If you need to reach many health systems and pull existing records, a network fits. If you have strong engineers and want control over routing, an engine fits. If you need a specific, two-way, workflow-deep connection that no product covers, a custom build fits. Getting the model wrong is more expensive than getting the vendor wrong.

An expert view, and a data point worth pricing in

Grahame Grieve, the creator of the FHIR standard, has long argued that interoperability succeeds or fails less on the technical standard itself than on the shared community agreements -- the people, processes, and conventions -- built around it at every level.

That reframing is the one most integration budgets miss. The hard part of connecting to an EHR is rarely writing the FHIR call. It is the accumulated, system-by-system knowledge of how each source really behaves, how to get credentialed into each vendor program, and how to handle the data that does not match the spec. The teams and platforms that ship reliably are the ones that have already earned that knowledge, and the quotes that look expensive up front are frequently the ones that have priced the messy parts honestly.

The cost of getting it wrong is not abstract. Widely cited industry estimates put the cost of poor interoperability to the US healthcare system in the tens of billions of dollars a year in redundant tests, administrative waste, and delayed care. Progress is real -- the Office of the National Coordinator reported that 70% of US non-federal acute care hospitals were finding, sending, receiving, and integrating patient data by 2023, up from 23% in 2014 -- but integration remains the domain's most persistent gap. That gap is exactly where a well-chosen integration partner or platform earns its keep, and where a poorly scoped one becomes part of that cost.

The verdict

Redox for digital-health products that need broad, repeatable connectivity to many EHRs through one maintained connection. RaftLabs for providers and digital-health companies building a custom EHR or device integration end to end, with compliance and data ownership designed in from the first sprint. Health Gorilla for products needing nationwide, QHIN-grade record retrieval and lab ordering as a service. 1upHealth for health plans meeting CMS interoperability mandates with combined clinical and claims data. Particle Health for products that need broad, single-API retrieval of longitudinal records across national networks. NextGen Connect (Mirth Connect) for teams with integration-engineering depth that want to run their own interface engine. Aidbox for engineering teams building FHIR-native products that need a certified, production-grade FHIR server. OSP Labs for buyers who want a bespoke EHR integration designed and delivered by a healthcare specialist.

The first filter is the model: buy connectivity, run an engine, or build custom. The second is the specific depth your integration needs -- national reach, payer compliance, self-run control, or a deep bespoke connection. Match those two questions to the right option on this list, and confirm the standards depth, the EHR access path, and the compliance story with a live walkthrough before you sign.

RaftLabs builds custom EHR and HL7 FHIR integrations -- standards depth, HIPAA-grade access control, and clean connections into the systems you already run -- with one team accountable from discovery to delivery. No handoff gap. 4.9/5 on Clutch. Talk to a founder about your EHR integration project.