An EHR integration checklist is a step-by-step list of the decisions, approvals, technical tasks and tests a healthcare app team must complete to connect its product to an electronic health record system safely, so patient data flows correctly and the integration passes hospital security and clinical review.
This checklist is written for product and engineering teams adding EHR integration to a healthcare app for the first time, or rolling an existing integration out to new customers. It works alongside our healthcare app development services and follows the order in which tasks usually happen on real projects. Work through each section before you commit to a launch date with a customer.
Before You Start: Scope and Use Case
Most EHR integration problems begin before any code is written, when teams commit to an integration without defining exactly what data they need and why. A clear scope keeps the work small enough to approve quickly and test thoroughly. It also gives hospital IT teams a simple, specific request they can evaluate, rather than a vague ask for access to everything in the chart. Complete every item in this section with your product owner and a clinical advisor before you contact the EHR vendor or your first hospital customer, and record each decision in writing.
Define the Clinical Use Case
Write one or two sentences describing the clinical problem your integration solves and who benefits. For example, showing medication lists to a pharmacist reviewing discharges. A specific use case guides every later decision about data, workflow and the level of access you request.
List Every Data Element
List each field you need, such as demographics, problems, medications, allergies, results or documents, and mark whether you read it, write it or both. Remove anything you cannot tie directly to the use case, because every extra element adds mapping, review and risk.
Choose Read, Write or Both
Read-only integrations are faster to approve and safer to launch. Writing data back into the chart requires clinical validation, stricter testing and more hospital approvals. Many teams launch read-only first, then add write-back in a later phase once trust is established.
Decide Real-Time or Batch
Decide how fresh each data element must be. Real-time needs, such as admissions or new results, suit event feeds. Lookups at the moment a user opens a record suit APIs. Reporting needs can often use scheduled batch extracts instead. Freshness drives architecture.
Identify Target EHRs
List the EHR platforms your first customers use, such as Epic, Oracle Health, MEDITECH or athenahealth, and the versions they run. Integration methods, approval programs and timelines differ widely, so prioritize the platform that unlocks your most important customers first.
Estimate Effort Early
Rough estimates help you set realistic expectations with customers and investors. Our EHR integration cost guide and EHR integration cost calculator help you size the work before you commit to dates or budgets with anyone outside your team. Revisit estimates after discovery.
EHR Access, Programs and Agreements
Technical access to an EHR is controlled by the EHR vendor, the hospital or both, and getting it often takes longer than building the integration itself. Each vendor has its own developer program, sandbox, review process and agreements, and each hospital has its own security review and approval committee. Starting these steps early, in parallel with development, is one of the most effective ways to protect your launch date. Use the items below to make sure nothing about access, permissions or contracts surprises you during the final weeks before going live with a customer.
Register With Developer Programs
Most major EHR vendors run developer programs that provide documentation, sandboxes and app registration. Requirements and program names change over time, so review the current program for each target EHR. Our Epic EHR integration guide explains the current Epic process.
Request Sandbox Access
Use vendor sandboxes to build and test against realistic but synthetic data before touching a customer system. Remember that sandboxes rarely match production configurations exactly, so plan time for testing in each customer’s own test environment before launch. Keep sandbox credentials separate.
Confirm Customer Sponsorship
Many EHR integrations require a hospital or clinic customer to sponsor or approve your connection. Identify a named contact at each customer who owns the request internally, since integrations without an internal champion often stall in approval queues for months.
Sign Business Associate Agreements
If your app will receive or store protected health information, sign a business associate agreement with each customer before production access. Confirm that your own vendors, such as cloud hosting, monitoring and support tools, are also covered by agreements with you.
Complete Security Questionnaires
Hospitals usually send detailed security questionnaires covering encryption, access control, incident response and hosting. Prepare a standard response package in advance, including architecture diagrams and policies, so each new customer review takes days rather than weeks to complete successfully. Update the package each year.
Agree on Scopes and Permissions
For API integrations, request only the scopes your use case needs. Narrow permissions are easier to approve and reduce risk if credentials are compromised. Document the scopes requested for each customer so audits and renewals are straightforward later. Request new scopes only when needed.
Data Standards and Mapping
Once access is planned, the core technical work is moving data in the right format and mapping it correctly between the EHR and your app. Most integrations use FHIR APIs, HL7 version 2 messages or both, and each EHR and hospital configures them differently. Careful mapping prevents clinical errors such as wrong units, missing allergies or results attached to the wrong patient. The items below cover the standards decisions and mapping tasks that matter most. Our EHR integration services team can review your mapping approach if you want a second opinion.
Choose FHIR, HL7 or Both
Use FHIR for on-demand reads and modern app experiences, and HL7 version 2 for real-time events such as admissions, orders and results. Our FHIR R4 implementation guide covers FHIR basics, and our HL7 integration services cover message feeds. Decide per data flow.
Align With USCDI Data Classes
Map your data needs to the United States Core Data for Interoperability where possible, since certified EHRs must support these data classes through APIs. Our USCDI glossary entry summarizes what the standard covers and why it matters for developers. Coverage varies by EHR version.
Map Codes and Terminologies
Map local codes to standard terminologies such as SNOMED CT, LOINC, RxNorm and ICD-10 where your app needs consistent meaning. Hospitals often use local codes for labs and orders, so plan for site-specific mapping tables rather than assuming every customer sends standard codes.
Handle Patient Identity
Decide how you match patients between the EHR and your app, and how you handle duplicates and merges. Our article on HL7 ADT patient merge handling explains how to process merges safely so data never attaches to the wrong patient.
Map Between HL7 and FHIR
If you combine HL7 feeds with FHIR reads, keep mappings consistent across both channels. Our HL7 v2 to FHIR mapping reference shows how common segments relate to FHIR resources, which keeps your internal data model coherent and testable. Test both channels together.
Plan for Bulk Data Needs
Population health, analytics and onboarding of existing patients may require large data exports rather than single record lookups. Our guide to FHIR bulk data export implementation explains how bulk exports work and when they are the right approach. Schedule exports outside peak hours.
Security and Compliance Checks
Every EHR integration moves protected health information, so security and compliance controls must be in place before production data flows. Hospital security reviewers will check these controls closely, and gaps found late can delay launch or end a deal entirely. Building them into the integration from the start is faster than retrofitting them after a failed review. The checklist items below reflect what reviewers ask about most often. Our healthcare API security services help teams design and document these controls so they hold up under scrutiny from demanding enterprise customers.
Encrypt Data in Transit and at Rest
Use modern TLS for every connection, including interface engine links and APIs, and encrypt stored data, backups and logs that contain PHI. Document your encryption approach clearly, because nearly every hospital security questionnaire asks about it in detail before approving production access.
Protect Credentials and Tokens
Store API keys, client secrets and tokens in a secrets manager, never in code or configuration files. Rotate them on a schedule and immediately after staff changes. Limit who on your team can view production credentials, and log every access.
Apply Least Privilege
Give each service, user and integration account only the access it needs. Separate development, testing and production environments, and keep production PHI out of development systems. Review access regularly and remove accounts that are no longer used by anyone. Automate reviews where possible.
Log Access and Changes
Log data access, API calls, message processing and configuration changes with enough detail to trace any event. Our article on HIPAA Security Rule technical safeguards explains which logging and audit controls the rule expects from your platform. Protect PHI inside logs as well.
Secure Network Connections
HL7 interfaces often require site-to-site VPN connections, while APIs run over the internet with strong authentication. Agree on network details, IP allow lists and certificate management with each customer early, since network setup is frequently the slowest task on the plan.
Prepare an Incident Plan
Document how you detect, investigate and report security incidents involving EHR data, including who contacts each customer and within what time frame. Hospitals expect this plan to exist and will ask for it during security review and contract negotiation. Test the plan once a year.
Testing and Clinical Validation
Integration testing in healthcare goes beyond checking that messages arrive. You must prove that the right data reaches the right patient record, displays correctly to clinicians and behaves safely in unusual situations. Hospitals often require evidence of testing before approving go-live, and clinical users will judge your product on the first errors they see. Plan testing as a formal phase with written scenarios, sign-off and clear exit criteria. Our article on common EHR integration challenges and solutions describes the issues testing most often uncovers late in projects. Budget time for retesting after fixes.
Write Test Scenarios
Create written scenarios covering normal workflows and edge cases, with expected results for each. Share them with the customer’s interface team so both sides agree on what passing means. Signed-off scenarios prevent disputes about readiness at the end of the project.
Test Edge Cases
Include merged patients, cancelled and corrected orders, amended results, unusual characters in names, very large messages and missing optional fields. Edge cases cause most production incidents, and hospital interface analysts will test them even if your team does not. Document every result.
Test in Customer Environments
After sandbox testing, repeat key scenarios in each customer’s test environment. Local configurations, custom fields and code sets often differ from the vendor sandbox, and these differences only appear when testing against the real system you will connect to. Budget time for each site.
Validate With Clinicians
Ask clinicians to confirm that data appears correctly and makes sense in your app and, for write-back, in the EHR. Clinical validation catches problems such as confusing units or missing context that automated tests cannot detect on their own. Record their sign-off.
Test Failure and Recovery
Simulate network outages, expired tokens, malformed messages and EHR downtime. Confirm that your system queues, retries and alerts correctly without losing or duplicating data. Our guide to Mirth Connect error handling and reprocessing shows proven patterns for recovery. Recovery should never need manual data fixes.
Load and Performance Testing
Test with realistic message volumes and concurrent users, including peak periods such as morning clinic starts. Measure response times and throughput, and confirm that your integration stays within the EHR’s rate limits so it does not affect other hospital systems.
Go-Live and Ongoing Maintenance
Go-live is the start of the integration’s working life, not the end of the project. The first weeks in production usually reveal data patterns and workflows that testing missed, and EHR upgrades, configuration changes and new customer sites will continue to affect the integration over time. A clear go-live plan and a support model agreed in advance protect your relationship with each customer. The items below cover cutover, monitoring and long-term maintenance. Using an interface engine such as Mirth Connect makes monitoring and troubleshooting considerably easier in production. Agree on support hours early.
Plan the Cutover
Agree on go-live timing, steps, rollback criteria and contacts with each customer. Avoid launching just before weekends or holidays when support staff are limited. Confirm that production credentials, network connections and monitoring are in place and tested before the planned cutover window begins.
Monitor Closely at Launch
Watch message volumes, error rates and response times daily for the first weeks, and review a sample of records with the customer. Most production issues appear early, so close monitoring lets you fix them before they affect many patients or clinicians.
Set Alerts and Dashboards
Configure alerts for failed messages, unusual volumes, delays and authentication errors, routed to people who can act on them. Dashboards give both your team and the customer a shared view of integration health and reduce support calls. Review alert thresholds after launch.
Track EHR Upgrades
EHR vendors and hospitals upgrade systems regularly, which can change APIs, fields or behavior. Ask customers to notify you of planned upgrades, test against upgraded environments where possible, and keep a change log for every connected site. Regression tests make upgrade checks faster.
Document Each Site
Record each customer’s configuration, mappings, contacts, credentials location and known differences. Good documentation makes support faster, protects you when team members change and shortens onboarding when you connect additional sites using the same EHR platform. Store documentation where support staff can find it quickly.
Plan Multi-Site Rollout
Turn your first integration into a repeatable profile, with site differences captured in configuration rather than code. Each new customer then needs mainly local mapping and testing, which lowers cost and makes rollout timelines far more predictable for your sales team.
Why App Teams Choose Taction for EHR Integration
EHR integration is often the part of a healthcare app project with the most unknowns, because it depends on vendors, hospitals and configurations outside your control. Taction Software has delivered more than 200 healthcare projects since 2013, including integrations with major EHR platforms using FHIR, HL7 and vendor-specific APIs. We help app teams plan integrations correctly from the first conversation, build them with proven tools and support them after launch. You can work with us on a defined integration project or add our specialists to your own engineering team for ongoing work.
Experience Across Major EHRs
We integrate with Epic, Oracle Health, MEDITECH, athenahealth and other platforms. Our Epic integration services, Cerner integration services and MEDITECH integration services explain our approach to each platform. Each integration is planned around the customer’s version, configuration and approval process rather than a generic template, which reduces surprises later.
FHIR and HL7 Together
We build FHIR APIs and HL7 feeds in the same project, choosing the right method for each data flow. That means one accountable team for the whole integration instead of separate vendors for API and messaging work. Mappings stay consistent across both channels.
Hospital Approval Support
We prepare security questionnaires, architecture documents and test scripts in formats hospital teams expect, and we join calls with interface analysts directly. This shortens approval cycles and keeps your project moving between technical and administrative steps. Approval documents are reusable across customers.
athenahealth and Ambulatory EHRs
Ambulatory practices often use different EHRs than hospitals, with their own APIs and marketplaces. Our athenahealth API integration guide shows how we approach ambulatory integrations alongside hospital platforms for app teams serving both markets. We plan both integrations on one shared data model, so your app behaves consistently.
Dedicated Integration Engineers
If you need ongoing capacity, you can hire EHR integration developers from our team who already know the standards, tools and hospital processes, so they contribute productively from the first week of the engagement. Team size can change as your rollout plan grows.
Support After Launch
We monitor integrations, handle EHR upgrades and onboard new customer sites using reusable profiles. Your integration stays reliable as your customer base grows, without pulling your core product engineers away from roadmap work. Support levels and response times are agreed in writing before go-live.
Frequently Asked Questions
These are the questions healthcare app developers ask most often when planning their first EHR integration or expanding to new EHR platforms. The answers reflect common patterns across projects, but every EHR vendor and hospital has its own programs, configurations and approval steps, so confirm details for your specific targets before committing to timelines. If you are deciding between integration approaches or need help with a stalled approval, the final answer explains how to book time with our integration team to review your plan, your target EHRs and your launch schedule together.
What Is the First Step in EHR Integration?
Define the clinical use case and the exact data elements you need, including whether you read, write or both. A narrow, documented scope makes every later step faster, from vendor registration and hospital approval to mapping, testing and launch. Write it down.
Should Our App Use FHIR or HL7?
Use FHIR for on-demand reads and app experiences, and HL7 version 2 for real-time events such as admissions, orders and results. Many production integrations use both, because hospitals still rely heavily on HL7 feeds for event-driven data. Confirm what each customer supports.
How Long Does an EHR Integration Take?
A focused read-only integration can take weeks, while bidirectional integrations with several data types often take months. Vendor programs, hospital security reviews and network setup frequently take longer than development, so start those steps as early as possible. Plan buffers for approvals.
Do We Need a Business Associate Agreement?
Yes, if your app creates, receives, stores or transmits protected health information on behalf of a covered entity. Sign agreements with each customer before production access, and make sure your own vendors handling PHI are covered as well. Review agreements with counsel.
Do We Need an Interface Engine?
Not always, but most teams handling HL7 feeds or several customer sites benefit from one. An interface engine provides routing, transformation, queuing and logging, which makes errors visible and multi-site support much easier to manage over time. Mirth Connect is a common choice.
How Do We Test Without Real Patient Data?
Use vendor sandboxes and synthetic patients for most development and testing. Then repeat key scenarios in each customer’s test environment, which uses test patients but reflects real configurations. Production data should only flow after testing is signed off. Keep test and production separate.
Tell Us About Your EHR Integration
Share your app, target EHRs, data needs and timeline, and we will review your integration plan and highlight the risks to address first. Book a session with our integration team through the free consultation page. You keep the plan whether or not you work with us.