Preventive health
01
Responsible by design
Clear intended use, human review and evidence shape deployment.
Evidence & safety
Useful AI must also be responsible AI.
Clear intended use, human review, evidence, data governance and uncertainty handling shape every responsible deployment.
Evidence-led Human review Visible boundaries
NivaCare is designed around declared intended use, qualified human oversight, consent, traceability and validation appropriate to each capability and deployment setting.
Human-reviewed AIClear intended use
EvidenceFit for purpose
Clinical controlQualified decisions
TraceabilityVisible context
02
Bounded intelligence
Support is scoped to the workflow, specialty and setting.
03
Trust made visible
Consent, traceability and uncertainty remain part of the interface.
01
Six questions for responsible clinical AI.
A practical review framework for product design, implementation and clear capability claims.
What is it for?
Define the user, care setting, task and excluded uses before rollout.
Who reviews it?
Keep drafts, signals and recommendations under qualified professional review.
How was it evaluated?
Use representative data and measures suited to the intended purpose.
For whom does it work?
Test across relevant languages, ages, devices, locations and care settings.
What information is used?
Make consent, purpose, access, retention and traceability explicit.
What happens when uncertain?
Route low-confidence or high-risk situations to a clear human pathway.
02
Clear status, without implying certification.
Standards alignment, technical conformance and formal certification are different. NivaCare labels them separately.
FHIR-oriented
Designed to exchange structured healthcare information using FHIR-oriented architecture. Integration conformance is verified for each implementation.
DPDP compliance programme — in progress
Work to assess deployment responsibilities under India's Digital Personal Data Protection Act is in progress. This is not a certification claim.
Designed to support HIPAA-compliant deployments
Administrative, technical and organisational safeguards are designed to support HIPAA-compliant use. Compliance depends on the configured deployment, contracts and operating controls.
ABDM integration readiness — in progress
Integration-readiness work for the Ayushman Bharat Digital Mission ecosystem is in progress. This does not imply government certification or endorsement.
ISO 13485 QMS certification — in progress
Quality-management-system certification work is in progress. Certification is not yet complete.
Deployment specific
Clinical and operational validation depends on intended use, specialty, language, population, device and implementation scope.
Use-case specific
Regulatory status is assessed against the intended claims and functions before clinical deployment. No blanket regulatory approval is implied.
NivaCare product pages describe a design direction and illustrative workflows. They do not replace local clinical governance, validation, contracting or regulatory assessment.
03
What the platform does not claim.
Clear exclusions are essential when software may influence health decisions.
Screening support, not diagnosis
Voice and questionnaire analysis can only surface a possible signal for consented, qualified review. It cannot diagnose a mental health condition or manage emergencies.
Scenario support, not prediction
Illustrative treatment-response scenarios do not prescribe, guarantee an outcome or replace current evidence and clinical judgement.
Coordination, not autonomous care
Agents can organise, draft and route information within configured rules. They do not independently diagnose, prescribe or override a clinician.
04
From useful prototype to trusted workflow.
We favour a staged approach: define, test, pilot, monitor and expand only when the evidence supports it.
Intended use, users, exclusions and success measures.
Technical, usability, bias and safety performance.
Prospective use with oversight and documented escalation.
Version, drift, incidents, feedback and real-world performance.
05
Guided by recognised frameworks.
Relevant references are applied according to each capability, claim, geography and deployment scope.
WHO ethics & governance
Human autonomy, transparency, accountability, equity and sustainable use inform the governance approach.
ABDM ecosystem
Patient control, consent-aware exchange and interoperable architecture inform connected-care design.
CDSCO assessment
Regulatory assessment depends on intended claims, functions and risk. It is not inferred from a technology label.
What should every deployment define?
The intended user, task, care setting, excluded uses and human review responsibilities.
Does standards alignment mean certification?
No. Design orientation, tested conformance and formal certification are distinct claims.
How is readiness assessed?
Evidence, usability, bias, safety controls and monitoring are evaluated for each defined deployment.
A tip from Nivi · Dedicated workflow support
Book a walkthrough Assess NivaCare against your governance process.
Tell us the intended clinical setting, users and workflow. We will discuss scope, controls, evidence and deployment requirements transparently.