Solutions ArchitectSkills & Competency Framework
What skills does a mid-level Solutions Architect in Healthcare need?
A mid-level Solutions Architect in Healthcare designs systems that handle sensitive patient data, integrate with clinical workflows, and comply with healthcare-specific regulations like HIPAA and HITECH. This role requires understanding of healthcare interoperability standards, clinical data models, and the unique reliability requirements of systems that support patient care. Mid-level architects are expected to own solution designs for clinical applications and health data integration projects.
Primary Skills
Healthcare Interoperability Architecture
technicalDesigning integration architectures using HL7 FHIR, HL7 v2, DICOM, and other healthcare data exchange standards. Understanding how clinical systems communicate, including EHR integrations, lab interfaces, and clinical decision support connectors.
HIPAA-Compliant System Design
technicalArchitecting systems that meet HIPAA Privacy Rule, Security Rule, and HITECH requirements. Designing protected health information flows, access controls, audit logging, and breach detection mechanisms that satisfy regulatory compliance and patient trust.
Clinical Data Architecture
technicalDesigning data models and storage architectures for clinical data including patient records, lab results, imaging data, and clinical notes. Understanding healthcare terminologies (SNOMED CT, ICD-10, LOINC) and how they shape data architecture decisions.
Additional Skills
EHR Integration Design
technicalArchitecting integrations with major EHR platforms including Epic, Cerner, and Meditech. Understanding SMART on FHIR app launch frameworks, EHR marketplace requirements, and the deployment models available for clinical software.
Healthcare Cloud Architecture
operationalDesigning cloud architectures that meet healthcare compliance requirements including HIPAA-eligible services, BAA management, and healthcare-specific security controls. Understanding the shared responsibility model in healthcare cloud deployments.
Clinical Workflow Understanding
interpersonalTranslating clinical workflows, care pathways, and provider requirements into technical solution designs. Collaborating with clinical informaticists and healthcare providers to ensure technology solutions support rather than disrupt patient care.
Medical Device Integration
technicalDesigning architectures for integrating medical devices, IoT health sensors, and remote monitoring systems with clinical platforms. Understanding device communication protocols, data validation requirements, and the regulatory considerations of medical device software.
High-Availability for Clinical Systems
operationalDesigning always-on architectures for clinical systems where downtime directly impacts patient care. Implementing redundancy patterns, failover mechanisms, and degraded-mode operations that maintain critical clinical functions during infrastructure failures.
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Generated by Kaairo's Competency Framework Generator on March 24, 2026