Resources

Technical depth when your evaluation needs it

The resource center is structured for executive, clinical, technical, security and implementation audiences.
Only approved and verified materials should be published.

Customer evidence

Delta Medical Laboratories × Blazma

Customer-reported operational, cost and growth outcomes, including 40% less manual laboratory work and 25% direct-cost optimization.

Read the case study →
Strategy

White papers

Evidence-based perspectives on diagnostic transformation, interoperability, quality and intelligence.

Commercial

Product brochures

Concise product, module, benefit, user and integration overviews.

Technical

Architecture & integration guides

Supported standards, interface patterns, prerequisites, responsibilities, testing and support processes.

Clinical governance

AI governance documents

Use-case approval, validation, oversight, explainability, audit, bias, drift and safe fallback requirements.

Insights

News & perspectives

Product updates, partnerships, healthcare trends, implementation perspectives and educational content.

Published customer outcomes are presented as customer-reported results from the referenced impact report and are not represented as guaranteed outcomes for every implementation.
Frequently asked questions

Answers for common evaluation questions

Does Blazma replace our existing HIS, EHR or LIS?+
Not necessarily. Blazma can operate above and between existing systems, provide selected operational modules, or combine both approaches. The approved project architecture defines ownership and scope.
Does Blazma's AI make the final diagnosis?+
Blazma's default position is physician-reviewed decision support. AI can organize evidence, surface patterns and priorities, and support follow-up; final diagnostic and treatment decisions remain under appropriate clinical responsibility.
Which integration standards are supported?+
The source content identifies HL7 v2, FHIR APIs, ASTM, REST APIs, Webhooks, secure file exchange and DICOM for approved use cases. Compatibility must be confirmed for each specific system, version and workflow.
Can Blazma be deployed on-premises?+
The proposed deployment models include cloud, hybrid and on-premises, subject to the agreed security, infrastructure, sovereignty and operational requirements.
How is implementation approached?+
The proposed methodology covers discovery, solution design, configuration, integration, validation, training, change management, go-live, stabilization, continuous improvement and AI performance monitoring where applicable.