Skip to content
The Algorithm logoThe Algorithm
The Algorithm/Knowledge Base/Electronic Health Records
Industry Term

Electronic Health Records

Electronic Health Records systems are the operational backbone of clinical care — and the most complex compliance-regulated software category in healthcare, where Epic's dominance has created a generation of integration debt.

What You Need to Know

Electronic Health Records (EHR) systems are the clinical systems of record for healthcare providers — managing patient demographics, clinical encounters, diagnoses, medications, lab results, imaging orders, and clinical documentation. The US EHR market is dominated by Epic Systems, which serves approximately 38% of US patients, with Cerner (now Oracle Health) and Meditech serving most of the remainder. Epic's dominance is not accidental — its comprehensive integration capabilities and 40 years of clinical workflow optimization create switching costs that make displacement nearly impossible for large health systems.

EHR integration is the most common technical challenge in healthcare technology. Every healthcare application that needs patient data must integrate with the EHR — and every major EHR has a distinct integration architecture. Epic uses HL7 v2 for traditional integrations and FHIR R4 for modern integrations, but the FHIR implementation is constrained by Epic's interpretation of the standard. Cerner has its own FHIR implementation with different constraints. Meditech's integration capabilities lag significantly. Building an application that integrates with all three requires three distinct integration implementations that are tested independently and maintained as each EHR vendor releases updates.

The 21st Century Cures Act and the ONC's interoperability rules have mandated FHIR-based data exchange, creating a wave of EHR integration requirements. Health systems must provide patients with access to their data through SMART on FHIR applications. They must participate in national networks for data exchange — CommonWell, Carequality, and the emerging TEFCA network. These mandates create engineering obligations for EHR-adjacent systems and for any application that needs to exchange patient data with health system infrastructure.

How We Handle It

We build EHR integrations and EHR-adjacent clinical systems for healthcare technology companies and health systems — implementing HL7 FHIR interfaces that pass ONC certification, navigating the specific integration architectures of Epic, Cerner, and Meditech, designing SMART on FHIR applications, and building the data governance and HIPAA compliance that every system touching patient data requires. Our teams have shipped clinical integrations that passed Epic's certification process.

Services
Service
Healthcare Technology
Service
Data Engineering & Analytics
Service
Compliance Infrastructure
Related Frameworks
HIPAA
HITRUST
FDA 21 CFR Part 11SOC 2
Decision context

EHR integration succeeds when clinical workflow and patient identity remain coherent.

This page owns the technical context of electronic health record ecosystems. Buyers need more than interface connectivity: they need semantic fidelity, workflow fit, PHI boundaries, downtime behavior, reconciliation, and accountable clinical validation.

Interfaces move data but break meaning

Codes, units, statuses, timestamps, encounter context, or provenance shift between Epic, Oracle Health, ancillary systems, and downstream consumers.

Patient identity fragments

Duplicates, overlays, demographic changes, and cross-facility identifiers produce unsafe joins or incomplete longitudinal records.

The new workflow adds clinical burden

An integration technically succeeds while clinicians duplicate work, lose context, or create undocumented workarounds.

Engineering decisions

What a production-ready approach must resolve.

Inventory interfaces and workflows

Trace HL7 v2, FHIR, APIs, files, events, terminology, identity, orders, results, documents, user roles, and downtime procedures.

Define conformance and semantics

Select profiles, required elements, extensions, code systems, provenance, validation rules, and ownership of mapping exceptions.

Protect the PHI boundary

Enforce minimum access, purpose, tenant and patient context, audit events, vendor scope, retention, non-production controls, and safe support access.

Validate clinically in parallel

Compare representative patients and workflows, route discrepancies, test downtime and reconciliation, and require accountable clinical acceptance before cutover.

Relevant company experience

Engagements connected to this problem.

Buyer questions

Questions to settle before committing.

Can you integrate with Epic without replacing the EHR?

Yes. The appropriate pattern may use Interconnect, FHIR, HL7 v2, event feeds, or an integration layer, depending on workflow, licensing, data, latency, and governance.

Is FHIR enough for interoperability?

FHIR provides a useful exchange model, not automatic semantic or workflow agreement. Profiles, terminology, identity, provenance, validation, and operating ownership still matter.

How do you test an EHR migration safely?

Use representative clinical scenarios, parallel interfaces, patient-level and aggregate reconciliation, clinician validation, downtime rehearsal, and a rollback path tied to explicit acceptance criteria.

Next useful step

Review Your EHR Integration

Bring the systems, workflows, interfaces, patient identity model, and failure history. We will identify the highest-risk seams.

Review Your EHR Integration
DECISION GUIDE

Compliance-Native Architecture Guide

Design principles and a structured checklist for building software that is compliant by default — not compliant by retrofit. Covers data architecture, access controls, audit trails, and vendor due diligence.

Apply Electronic Health Records in regulated industries
Explore Hospitals & Health SystemsExplore Healthcare PayersExplore Pharmaceuticals & Life SciencesExplore Digital HealthExplore BankingExplore InsuranceExplore FintechExplore Government & Public SectorExplore Energy & UtilitiesExplore TelecommunicationsExplore Retail & E-Commerce
§

Compliance built at the architecture level.

Deploy a team that knows your regulatory landscape before they write their first line of code.

Start the conversation
Related
Service
Healthcare Technology
Service
Data Engineering & Analytics
Service
Compliance Infrastructure
Related Framework
HIPAA
Related Framework
HITRUST
Related Framework
FDA 21 CFR Part 11
Platform
ALICE Compliance Engine
Service
Compliance Infrastructure
Engagement
Surgical Strike (Tier I)
Why Switch
vs. Accenture
Get Started
Start a Conversation
Engage Us