Alpaca Health · 2 months ago
EHR Platform Architecture Consultant (Contract)
Alpaca Health is a company that empowers autism care providers to deliver high-quality ABA services by managing non-clinical administrative functions. They are seeking an experienced EHR Platform Architecture Consultant to audit their existing EHR architecture and data model, identify bottlenecks, and propose foundational improvements for scalability.
Health CareMental HealthTherapeutics
Responsibilities
Review how ABA clinics operate across scheduling, clinical documentation, data collection, billing, EVV, and claims
Understand how our platform supports these workflows today — and where breakdowns occur
Evaluate our current domain models (appointments, session notes, treatment plans, pay periods, claims, etc.) across Python + MongoDB
Analyze schema design, document relationships, indexing strategy, event flow, and consistency across modules
Assess compliance-related needs (audit logs, versioning, PHI boundaries, RBAC)
Recommend architectural changes to improve reliability, correctness, and long-term extensibility
Flag structural issues that may cause future problems (e.g., ledger consistency, document bloat, inconsistent time-zone handling, overly coupled modules)
Prioritize changes by business impact, engineering risk, and implementation complexity
Provide guidance on whether and how to incorporate FHIR resources or Medplum-style abstractions
Suggest patterns for versioning clinical documents, supporting note signing, and unifying scheduling + billing + clinical domains
Review our LLM-driven workflows and recommend safer patterns for auditability and correctness
Work directly with our CTO and engineering team
Deliver clear written recommendations, diagrams, and migration paths
Optionally advise during implementation as we execute your recommendations
Qualification
Required
Deep experience designing or auditing EHRs (Epic, Athena, SimplePractice, Rethink, Medplum, etc.)
Understand healthcare data models, particularly structured clinical documentation, audit trails, and insurance workflows
Strong opinions on schema design, normalization vs denormalization, event models, and domain boundaries
Comfortably evaluate systems across MongoDB, Python, cloud architectures, and LLM-driven workflows
Can translate messy real-world clinical workflows into clean, extensible domain models
Communicate clearly and produce high-quality architectural documents