2026 Healthcare Software Vendor Evaluation Checklist
This checklist provides a structured, objective framework to rigorously evaluate healthcare software vendors.
A category-by-category checklist covering lakehouse architecture, HIPAA compliance, bioinformatics pipelines, FHIR interoperability, real-time streaming, and AI/ML readiness, with the exact tools and standards each item requires.
- 9 scored categories across data architecture, compliance, pipelines, and AI readiness
- Every item includes the "why it matters" and the specific tool or standard to use
9 Categories, 42 Items Total
1
Data Architecture & Lakehouse
Iceberg/Delta Lake, medallion architecture, cloud-native platforms, lineage tracking, petabyte-scale design
2
HIPAA & Compliance
Architecture-level HIPAA controls, KMS keys, ABAC, audit trails, PHI masking, multi-framework readiness
3
ETL & Data Pipelines
Orchestration, quality gates, FHIR R4 ingestion, pipeline alerting, HL7 v2 normalization
4
Bioinformatics & Genomic Pipelines
Workflow engines, variant callers, RNA-Seq standards, VEP/gnomAD/ClinVar annotation, NIST GIAB benchmarking
5
Interoperability & FHIR
HL7-to-FHIR translation, US Core 6.1.0 conformance, ONC Inferno validation, EHR integrations, Bulk Data export
6
Real-Time Streaming
Kafka/Flink/Kinesis, TAT alerting, live dashboards, sample lifecycle tracking
7
Data Quality & Observability
Quality gates, drift monitoring, incident detection, end-to-end lineage, terminology standardization
8
AI/ML Readiness
Production-ready data, feature stores, training warehouses, synthetic data for rare populations
9
Documentation & Governance
Architecture documentation, data dictionaries, version control
Why This Matters
Built for VP Bioinformatics, Head of Data Science, CTO/CIO
If flat-file VCF storage, ad hoc ETL scripts, or undocumented data lineage sound familiar, your platform is already limiting what your team can do.
VP Bioinformatics
Head of Data Science
CTO / CIO
Genomics Labs
5+unchecked items in a single category signals your platform is actively limiting growth or compliance there
1:1every item pairs its "why it matters" with the specific tool or standard to use
2+gaps in HIPAA & Compliance or Bioinformatics Pipelines put you at high audit risk