Regulatory scope
HIPAA – medication history is protected health information, exchanged for treatment purposes
Medication History Aggregation and EHR Integration for Medication Reconciliation
A patient's real medication list is a composite - prescribed, dispensed and actually taken rarely match. MedHx aggregates incremental prescribing data from multiple sources into one accurate and complete picture, improving medication reconciliation, reducing treatment errors and supporting patient safety. Seasia served as the assurance partner across the aggregation logic, the UI and the API layer.
Overview
INDUSTRY
Healthcare IT / Medication Management
PROJECT DURATION
Part of a 15+ year ongoing partnership
Medication reconciliation is one of the few points in care where a documentation error becomes a clinical one. The difficulty is that a patient's medication list is not a record but a composite prescribing data from EHRs, dispensing data from pharmacy networks and patient self-report each describe a different version of the same list, arriving incrementally and often corrected or superseded.
MedHx resolves those sources into a single accurate profile and delivers it into the EHR, where reconciliation actually happens. Correctness is the entire product: a dropped or duplicated medication is a treatment error, and every EHR integration is a separate correctness surface. Seasia works as the assurance partner across the aggregation logic, the UI and the API layer, with automation embedded in the release pipeline and reused across the client's wider prescribing suite.
Overview
Medication reconciliation is one of the few points in care where a documentation error becomes a clinical one. The difficulty is that a patient's medication list is not a record but a composite prescribing data from EHRs, dispensing data from pharmacy networks and patient self-report each describe a different version of the same list, arriving incrementally and often corrected or superseded.
MedHx resolves those sources into a single accurate profile and delivers it into the EHR, where reconciliation actually happens. Correctness is the entire product: a dropped or duplicated medication is a treatment error, and every EHR integration is a separate correctness surface. Seasia works as the assurance partner across the aggregation logic, the UI and the API layer, with automation embedded in the release pipeline and reused across the client's wider prescribing suite.
INDUSTRY
Healthcare IT / Medication Management
PROJECT DURATION
Part of a 15+ year ongoing partnership
Project Scope & Business Challenges
The platform had to reconcile medication data from multiple clinical and pharmacy sources into a single reliable patient profile. The core challenge was preserving data accuracy, completeness, and drug identity while supporting incremental updates.
Key challenges included:
Medication Data Arrives From Sources That Disagree With Each Other.
- Prescribing data from EHRs, dispensing data from pharmacy networks and patient self-report each describe a different version of the same list. Aggregation has to reconcile them without dropping or duplicating a drug.
Incremental Aggregation, Not Snapshot Retrieval.
- The platform ingests prescribing data incrementally as it arrives. Testing had to validate that each increment merged correctly into the existing profile, including late arriving, corrected, and superseded records.
Integration Correctness Across Heterogeneous EHRs.
- A medication history is clinically useful only when it renders inside the clinician's existing workflow. Every EHR integration is a separate correctness surface with its own version and message behavior.
Solution Offered by Seasia
Seasia implemented a layered validation approach across aggregation logic, EHR integrations, APIs, UI workflows, and medication identity resolution.
Aggregation logic validation
Verification that incremental prescribing data from various sources merged into a single accurate medication profile, with deduplication and supersession handled correctly.
EHR integration testing
Validation of medication history delivery into connected EHR systems, confirming the clinician sees a complete and correctly ordered list inside the native workflow.
UI automation framework
Automated UI regression coverage across the medication history presentation layer, built on Selenium and Serenity and run on every release.
API layer automation
Contract and behavioral test automation with Rest Assured against the platform APIs, catching integration regressions below the interface.
Data completeness assertions
Assertions on record counts, date coverage and source attribution to confirm no data loss across the aggregation pipeline.
Drug identity verification
Validation that medications resolve consistently to a normalized drug identity across sources using different naming conventions.
Negative and edge path coverage
Testing against missing, malformed, duplicate and out-of-sequence records – the conditions under which medication lists silently go wrong.
Performance validation
Load and performance testing with JMeter against aggregation and retrieval under realistic volume.
CI/CD integration
Automation embedded into the Jenkins release pipeline, so regressions surface before deployment rather than in production.
Cross-product framework reuse
Test frameworks built for reuse across the client's prescribing and medication management product line, including Rcopia, RcopiaUpdate and EPCS.
Our Tech Stack
Automation and testing
Selenium
Serenity
Rest Assured
JMeterCI/CD and frameworks
Jenkins
Maven
Ant
JUnitLanguages
JavaStandards & Integrations
NCPDP SCRIPT
RxNorm
NDC
EHR and EMR integration
Pharmacy network medication history services
Automation and testing
SeleniumSerenityRest AssuredJMeterCI/CD and frameworks
JenkinsMavenAntJUnitLanguages
JavaStandards & Integrations
NCPDP SCRIPT
RxNorm
NDC
EHR and EMR integration
Pharmacy network medication history services
Compliance & Security
Assurance activities
Functional, integration, UI, API and performance verification; regression automation embedded in CI/CD
Data handling
De-identified or synthetic medication data in all test environments
Delivery standards
ISO 27001
CMMI Level 5
Features & Outcomes Delivered
The engagement established a reusable quality engineering framework for validating medication aggregation, EHR connectivity, and downstream data presentation. Automation was embedded across UI, API, performance, and regression layers to improve coverage while protecting data completeness and integration accuracy.
Medication Data & Aggregation Validation
- Multi-source medication data aggregation validation
- Incremental prescribing data merge verification
- Drug identity normalization verification
- Data completeness and source attribution assertions
- Negative and edge-case coverage on malformed and out-of-sequence records
EHR & Integration Testing
- EHR integration correctness testing
- API layer test automation
UI, Performance & Functional Automation
- UI automation framework across the medication history interface
- Load and performance validation
Regression & Continuous Quality Engineering
- CI/CD-embedded regression suite
- Reusable framework across the client product line
Business Impact
Incremental prescribing data from multiple sources verified as merging into one accurate medication profile
EHR integration validated so the clinician sees a complete, correctly ordered list in the native workflow
UI and API regression running automatically on every release rather than manually before it
Silent-failure conditions – malformed, duplicate and out-of-sequence records – covered explicitly
Manual testing cost reduced while improving speed to market
Test frameworks reused across multiple products in the client's prescribing suite
Building medication reconciliation or EHR integration?
Seasia helps healthcare organizations validate complex medication data flows, EHR integrations, and clinical interfaces with automation-led quality engineering built around accuracy, traceability, and interoperability.
From the Seasia Engineering Lab
The intelligence layer behind how Seasia teams plan, engineer, test, release, and govern enterprise software.