Acta Labs
Helping health technologies move from promise to practice.
Acta Labs builds practical tools for early health technology questions: what has been proven, what stage the technology is in, what evidence is appropriate for that stage, and what would be needed before the next step.
Tools
Two practical tools for health technology development, evidence planning, and real-world translation.
Use them when a diagnostic, AI health tool, digital health product, workflow, or data-driven technology looks promising, but the next step is unclear.
Health Tech Readiness Lab
Assess whether a health technology is ready to move forward.
Work through the technology's claim, evidence, development stage, intended users, use case, risks, and next decision.
It helps clarify
- What has been proven?
- What has not been proven yet?
- Is the evidence appropriate for this stage?
- What decision could the evidence support?
- What would be needed before moving forward?
Real-World Translation Canvas
Map what would need to be true for a technology to work in practice.
Think through the path from early promise to pilot, adoption, implementation, or scale.
It helps clarify
- Who would use the technology?
- Where would it fit into existing workflows?
- What evidence would matter to adopters?
- What operational barriers could block use?
- What would need to happen next?
Why Acta Labs exists
Technology Readiness Levels helped teams ask whether a technology was mature enough to move forward, and that question still matters. In health technology, though, a single technical scale is rarely enough. Diagnostics, software, AI health tools, digital workflows, and data products each require different kinds of evidence at different stages of development.
A lab result, prototype, pilot, model output, workflow test, or real-world dataset may each be useful, but they do not answer the same question.
Acta Labs tools help work through what the evidence shows, what it does not yet show, and what would be needed before the technology is ready for a pilot, partnership, funding decision, adoption pathway, or scale.
Traditional readiness
Can the technology work?
Health tech readiness
What has been proven, for whom, in what setting, and what next step does that evidence support?
