Guided plain-language intake
Patients or hospital helpers answer structured pre-consultation questions in Hindi, English, or their comfortable language.
View DetailsNIRAAMAY helps patients share their history in their own language and bring previous reports into one source-linked summary for their doctor to review.
Every extracted symptom, history point, and medication links directly back to patient input or uploaded document.
Unclear, incomplete, or inconsistent items are highlighted in amber for human verification—never assumed as fact.
Clinicians retain 100% authority to accept, edit, or reject each item. No automated diagnosis or clinical advice.
NIRAAMAY is being designed and is not yet validated for clinical use.
Organising patient histories and past documents before the doctor consultation begins.
See how the flow worksPatients or hospital helpers answer structured pre-consultation questions in Hindi, English, or their comfortable language.
View DetailsUpload photographs of previous physical prescriptions and diagnostic lab reports into one place before entering the OPD.
View DetailsSpeech processing and document extraction organize scattered context into a concise, scannable summary for the doctor.
View DetailsClick any extracted detail to view the exact original prescription line, lab snippet, or audio answer it came from.
View DetailsThe system highlights ambiguous, illegible, or conflicting information for clinical check rather than guessing.
View DetailsThe doctor reviews and decides what is clinically relevant with one-click Accept, Edit, or Reject controls.
View DetailsA four-step collaborative intake designed for Indian OPD realities.
The patient—or a hospital helper—answers structured questions about complaints, timeline, and current medications.
Photographs of previous paper slips, prescriptions, and diagnostic lab reports are uploaded before the consult.
Technology extracts and structures context into a 1-page digest, highlighting unclear or incomplete items for review.
The clinician reviews source-linked facts, resolves uncertainty flags, and retains total clinical interpretation authority.
Clinician Responsibility: The clinician remains responsible for clinical interpretation and decisions.
A dual-interface flow built to bridge patient context with doctor precision.
Planned MVP Discovery ScopeAcute productive cough & moderate pyrexia (4 days duration), worsening nocturnally.
Seasonal bronchial hypersensitivity; no prior hospitalisation.
Paracetamol 650mg SOS · Unnamed OTC cough formulation
Patient mentioned allergic throat swelling after "cough syrup" in 2022. Compound unspecified; verify before prescribing.
Note: Illustrative interface; sample content only. Final screens and fields may change through clinical discovery.
NIRAAMAY is being designed to make the origin and uncertainty of information visible—not to make clinical decisions on a doctor's behalf.
Facts should link back to supporting material, such as patient answers, voice notes, or prior documents.
Ambiguous, contradictory, or illegible information is flagged explicitly for human verification rather than guessed.
Clinicians can accept, edit, or reject each item before it informs clinical assessment or care plans.
The product should request only the information needed for the stated intake purpose, with clear notices and consent flows designed into the MVP.
NIRAAMAY is not a diagnostic system, does not suggest treatment, and does not replace professional medical judgement.
We do not claim “DPDP compliant,” “HIPAA compliant,” “fully secure,” “end-to-end encrypted,” or “hospital-grade security.” These represent ongoing design requirements and architectural standards to be validated through formal audit, not marketing claims.
India has notified the Digital Personal Data Protection Rules, 2025, with phased commencement. NIRAAMAY's privacy, notice, consent and data-handling approach must be validated against the applicable requirements before launch. This is an explicit design commitment, not a premature claim of completed compliance.
Aligning administration, clinicians, helpers, and patients into a unified pre-consultation rhythm.
Talk through your OPD workflowSpend consultation minutes on patient examination and care decisions instead of gathering repetitive history and sorting paper slips.
Empower non-tech-savvy patients to complete guided intake comfortably via simple interfaces or helper-assisted check-in.
Share symptoms in their own words and bring past records together before meeting the doctor, without feeling rushed.
Explore an organized pre-consultation workflow layer that works without replacing existing hospital EHR/HIS systems.
Scope boundary: NIRAAMAY does not claim existing EMR/HIS, ABHA, or hospital IT integration. Integration pathways will be evaluated during formal pilot discovery based on individual hospital requirements.
Transparent milestones focused on clinical safety and usability.
Built a web-based prototype demonstrating guided intake, document capture, source links, and doctor review controls.
Engaging OPD doctors, nursing teams, and helpers to evaluate workflow fit, usability, and time impact across specialties.
Conducting structured evaluations under clinical supervision with strict data safeguards and human-in-the-loop verification.
Developing a compliant, sustainable platform solving verified OPD bottlenecks with clinical mentorship and institutional backing.
A measured look at digital OPD evolution, privacy governance, and language realities in India.
OPD consultations often begin with collecting basic history: symptoms, duration, medicines, and previous records. Organizing this beforehand lets doctors focus on clinical care.
Rather than conversational fluff or artificial certainty, NIRAAMAY highlights ambiguous or conflicting information so the clinician knows exactly what needs human verification.
Designed to work alongside existing hospital practices and EHR/HIS systems. Aligned with India’s DPDP Rules 2025 principles of purposeful collection and explicit consent.
Clear boundaries and candid answers about what NIRAAMAY is and is not.
NIRAAMAY is not a chatbot and does not provide automated diagnoses or treatment suggestions. It is a pre-consultation workflow layer that organizes patient-provided information and uploaded prescriptions into a concise, source-linked 1-page summary with visible uncertainty flags for the doctor to review.
No. NIRAAMAY maintains a strict non-diagnostic boundary. It focuses solely on information collection and organization. The consulting clinician retains 100% authority to interpret, accept, edit, or reject every detail.
The platform is designed with simple guided questions in Hindi, English, and local languages. In hospital OPDs, it can be helper-assisted—completed with the help of front-desk staff or hospital volunteers before the consultation.
The system does not assume every detail is correct. Ambiguous handwriting, incomplete symptom timelines, or conflicting medication names are explicitly flagged in amber for human verification, linking directly to the source.
No. NIRAAMAY is designed as an additive pre-consultation intake layer. It does not replace existing hospital IT systems or change how doctors practise.
We have developed a functional web-based prototype demonstrating the pre-consultation concept. We are actively speaking with clinicians and OPD teams to evaluate intake workflows, test usability, and establish the clinical safeguards required for a supervised pilot.
Have an OPD operational question not listed here?
Speak with our discovery teamWe're designing NIRAAMAY and looking to speak with clinicians, OPD leads, and hospital teams about pre-consultation intake, document review, and the safeguards a useful pilot would require.
Share your facility details to arrange an exploratory conversation.