Useful AI must also be
responsible AI.
NivaCare is designed around declared intended use, qualified human oversight, consent, traceability and validation appropriate to each capability and deployment setting.
Six questions every clinical AI deployment should answer.
These principles guide product design, implementation review and the way NivaCare communicates its capabilities.
What is it for?
The user, care setting, task and excluded uses should be explicit before rollout.
Who reviews it?
Drafts, signals and recommendations stay subject to appropriate professional review.
How was it evaluated?
Performance should be assessed using representative data and fit-for-purpose measures.
For whom does it work?
Language, dialect, age, gender, device and location differences require active evaluation.
What information is used?
Consent, purpose, access, retention and traceability must match the workflow.
What happens when uncertain?
Low-confidence, unexpected and high-risk situations need a clear human pathway.
Clear status, without implying certification.
Standards alignment, technical conformance and formal certification are different. NivaCare labels them separately.
FHIR-native
Designed to exchange structured healthcare information using FHIR-oriented architecture. Integration conformance is verified for each implementation.
DPDP, ABDM & NABH-oriented
Product and workflow controls are designed with these Indian requirements and frameworks in view. This does not itself represent accreditation or endorsement.
HIPAA-aware design
Administrative, technical and organisational safeguards are considered for relevant deployments. NivaCare does not claim HIPAA certification.
ISO 13485
Quality-management 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.
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.
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.
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.
WHO guidance ↗ABDM ecosystem
Patient control, consent-aware exchange and interoperable architecture inform connected-care design.
ABDM ↗CDSCO assessment
Regulatory assessment depends on intended claims, functions and risk. It is not inferred from a technology label.
CDSCO ↗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.
