Healthcare APIs: Categories, Integration Options, and Real Examples

A healthcare API is an interface to a system that already owns medical data and defines what another application can read, write, and under which conditions. The source may belong to a healthcare provider, payer, pharmacy network, device manufacturer, or the patient through a smartphone or wearable. The diagram below shows the main systems a healthcare product usually connects to.

Today, the main API surface for new healthcare integrations is FHIR over REST. In the U.S., certified EHRs must expose a standardized FHIR R4 API with US Core data profiles and SMART App Launch authorization, so most EHRs your product meets already support it. Health Level Seven (HL7) v2 follows a different exchange model: systems send messages through an interface engine that can route, map, and validate them. Payer transactions often follow another path and pass through a clearinghouse. These differences matter when you estimate an integration.

Some data sources support a direct connection through application code, while others require an interface engine, clearinghouse, or another intermediary. Each model brings its own share of architecture, mapping, and testing work. Our guide to HL7 integration explains how message-based exchange and interface layers work in more detail.

Healthcare APIs fall into several categories, each designed for a specific type of data exchange and integration task. EHR access, data aggregation, terminology, e-prescribing, claims, device data, and imaging solve different integration tasks, so the right starting point is the data source your product needs to reach. In healthcare application development, this order defines the integration scope before you commit to a vendor. The sections below explain what each category provides, which APIs belong to it, and what to check before choosing one. The diagram below groups the categories by the data each one carries.

EHR vendor APIs provide access to records, schedules, orders, and other data within one vendor’s installed base. Common examples include Epic, Oracle Health, athenahealth, MEDITECH, and eClinicalWorks. When you compare vendors, check whether the API supports write operations or only read access. Also review the app approval process, since vendor review can affect the integration timeline.

Data aggregators provide normalized clinical records from multiple providers through one interface. Common examples include Redox, Health Gorilla, 1upHealth, Particle Health, and Metriport. When you compare options, check which data sources are connected today rather than only listed as planned coverage. Also review how pricing changes as transaction volume and the number of connected organizations grow.

Terminology APIs provide reference data for drugs, diagnoses, and procedures and help map codes across systems. Free public sources include RxNorm and RxNav from the National Library of Medicine, openFDA, and DailyMed, and they may be enough for reference and lookup use cases. Drug interaction checks usually require a commercial service such as First Databank, Medi-Span, or Lexicomp, often licensed annually.

E-prescribing APIs send prescriptions to pharmacies and support medication checks before submission. Common examples include Surescripts, DoseSpot, DrFirst, and NewCrop. When you compare services, check pharmacy network coverage in the regions where your product will operate. If your product will prescribe controlled substances in the U.S., also confirm support for Electronic Prescribing of Controlled Substances (EPCS), which requires DEA-compliant identity proofing and two-factor authentication.

Claims and eligibility APIs let healthcare products verify coverage, submit claims, and receive payer responses. Common examples include Availity, Waystar, Stedi, and Claim.MD. Most payer transactions still travel as X12 EDI files, such as 270/271 for eligibility and 837 for claims. When you compare services, check the supported payer list and clearinghouse fees. Also check whether the API accepts JSON and converts it to X12 on its side.

Payer connectivity requirements are also changing. Under the Centers for Medicare & Medicaid Services interoperability rule, impacted U.S. payers must support Patient Access, Provider Access, Payer-to-Payer, and Prior Authorization FHIR APIs. Compliance dates for these APIs generally start on January 1, 2027, so if your product works with U.S. payers, check whether your claims vendor already supports them.

Device APIs bring health metrics from wearables and medical hardware into healthcare products. Common options include Apple HealthKit, Dexcom, Withings, and Fitbit Web API. When you compare them, check how reliably the patient’s phone syncs data in the background and whether the source provides consumer-grade or medical-grade measurements.

Some medical devices send data straight to the app over Bluetooth rather than through a vendor API. For a U.S. medical IoT manufacturer, Cleveroad connected iOS and Android apps to electrocardiogram (ECG) and pulse oximetry devices this way. The solution was aligned with U.S. Food and Drug Administration (FDA) 510(k) and Health Insurance Portability and Accountability Act (HIPAA) requirements. The IoT-based monitoring system received 4–5-star ratings in 95% of user reviews.

Imaging APIs provide access to studies and reports through DICOMweb, the web version of the Digital Imaging and Communications in Medicine (DICOM) standard. Its core services cover search (QIDO-RS), retrieval (WADO-RS), and upload (STOW-RS). Common implementations include Google Cloud Healthcare API, Azure Health Data Services, Orthanc, and dcm4che. When you compare options, check whether the product needs its own image viewer and how studies will be delivered to mobile devices.

If you need to connect one or two known EHR systems, direct integration usually makes more economic sense. If your product must work with many EHRs an aggregator can reduce the number of separate integrations you need to build.

The table below compares both approaches by fit, time to the first production call, data coverage, cost, and failure ownership.

Production access often sets the schedule. OAuth 2.0 and SMART on FHIR provide a standard authorization flow, but the application still has to register with the EHR and receive the required production access. Plan the integration timeline from the vendor submission date rather than from the point when developers start the authorization code.

Direct integration also gives your team full responsibility for vendor-specific behavior. You need your own error handling, monitoring, data mapping, and compatibility controls when the EHR changes its interface. These tasks add to the technical scope described in our guide on how to build an EHR system.

Cleveroad dealt with this kind of vendor-specific behavior when we connected a telehealth platform for a U.S. mental healthcare provider directly to Kareo. Kareo had no mechanism to push updates to the external platform. Our 22-person team built two-way synchronization on our side, based on periodic polling and change processing. The synchronization keeps appointments and patient records consistent across both systems.

• See the online therapy services ecosystem case.

An aggregator moves part of that work into a common integration layer, but it does not remove the source system from the chain. When data fails to arrive or arrives in an unexpected format, your team may still need to trace the issue back to the underlying EHR.

In practice, the architecture can combine both approaches: connect the few EHR systems critical to your product directly and use an aggregator for the long tail of additional vendors.

Cleveroad is a healthcare software development company with 15+ years of experience in HealthTech, and most of the API categories above have come up in our projects, from EHR and e-prescribing to insurance data exchange.

Since production access often sets the schedule, we put external integrations into the first sprint whenever possible. Submitting to the vendor early keeps a third-party review from delaying the release.

A U.S. rehabilitation clinic relied on a third-party SaaS Electronic Medical Record (EMR) system where nearly 40% of the functionality was unnecessary. Staff also had to work across several disconnected systems, which increased costs and made clinical workflows harder to manage.

The Cleveroad team built a custom clinic management platform and migrated medical data from the previous system. We deployed the solution on AWS and protected sensitive data with AES-256 encryption and role-based access control.

The integration scope included DoseSpot for e-prescriptions. The module supports pharmacy selection, secure prescription transfer, insurer data, medication alternatives, and safety checks. We also added a telemedicine layer through Vonage for remote consultations.

As a result, the clinic received a single system for appointments, scheduling, billing, payments, prescriptions, and clinical data, rather than several separate services. Real-time scheduling removed appointment conflicts, and replacing the SaaS subscription with a custom platform cut long-term maintenance costs.

Codex Labs is a U.S. healthcare company behind DECODE.ME, a teledermatology platform that connects patients with dermatologists. The product came to Cleveroad after work by previous development teams, with backend bottlenecks and infrastructure issues that affected reliable medical data exchange.

We started by reviewing the existing codebase and data flows. Cleveroad’s backend and DevOps specialists removed backend bottlenecks and prepared HIPAA-compliant infrastructure on Google Cloud Platform (GCP), using FHIR-based medical data storage, so patient and physician data could move predictably under load.

Within five months, the platform was ready for the American Academy of Dermatology (AAD) 2025 Innovation Meeting, where dozens of dermatologists interacted with the product. Cleveroad continues to support further product development.

Barbara Paldus, Founder and CEO of Codex Labs, shares her experience working with the Cleveroad team on DECODE.ME and preparing the platform for its next development stage.

Cleveroad handles healthcare API integration end-to-end, from selecting the connection approach and mapping data flows to production deployment and monitoring. We connect healthcare products to EHR/EMR platforms, e-prescribing services, payer systems, medical devices, video services, and payment providers while accounting for security, data formats, and vendor-specific requirements.

Here is what you get when you work with Cleveroad:

• Healthcare integration expertise. Our teams have implemented two-way EHR synchronization, e-prescribing, insurance data exchange, medical IoT connections, and telemedicine integrations in real healthcare products.
• Direct and aggregator-based connections. We can integrate directly with selected EHR vendors or build an integration layer around aggregators when your product must support a broader system landscape.
• ISO-certified security processes. Cleveroad holds ISO/IEC 27001 certification, so our development, access control, and data-handling processes follow internationally recognized information security practices.
• Proven healthcare integrations. We work with EHR and healthcare platforms such as Kareo, athenahealth, and Health Gorilla, plus e-prescribing and medication services like DoseSpot, Truepill, and DrugBank.
• Telehealth, payment, and insurance APIs. Our integration stack includes Twilio and Vonage for communication, Stripe for payments, and Eligible for insurance workflows.
• Healthcare compliance expertise. We build healthcare software aligned with standards and regulations such as HIPAA, GDPR, PIPEDA, ISO 13485, and IEC 62304.