The modern cancer journey demands precision, rapid multidisciplinary coordination, and continuous toxicity surveillance. OncoCare is India’s first dedicated AI oncology platform engineered to bridge the clinical gap between hospital consultation rooms and home-based recovery. Powered by specialized oncology models, ambient voice intelligence, and algorithmic toxicity triage, OncoCare empowers oncologists to synthesize complex consultation notes in seconds while providing cancer patients with continuous clinical guardrails. By integrating NCCN and ICMR clinical practice guidelines directly into automated workflows, our platform minimizes diagnostic friction, mitigates dangerous chemotherapy adverse events, and ensures holistic patient monitoring across all phases of systemic therapy. From automated staging stratification and multidisciplinary tumor board collaboration to longitudinal electronic patient-reported outcomes (ePROs), OncoCare transforms fragmented cancer care into an integrated, proactive clinical ecosystem.
Engineered for Oncology Precision
Advanced capabilities tailored for high-volume cancer care delivery
Ambient Consultation Voice Scribe
Transcribes multi-speaker doctor-patient interactions in real time, intelligently synthesizing structured SOAP notes, staging summaries, and biomarker considerations without manual typing.
Guideline-Driven Protocol Matching
Cross-references histology, TNM staging, ECOG performance score, and biomarker profiles (HER2, EGFR, KRAS, PD-L1) against NCCN and ICMR systemic regimens.
Automated Toxic Dose Calculation
Calculates Body Surface Area (BSA via Mosteller/DuBois) and AUC dosing (Calvert formula) with automatic lifetime anthracycline and bleomycin cumulative limit checks.
Predictive CTCAE Toxicity Triage
Algorithms continuously evaluate patient-reported symptoms against CTCAE v5.0 grading, instantly flagging Grade 3+ toxicities to the oncology care team before emergency escalation.
Multimodal Genomic & Imaging Summarizer
Synthesizes molecular sequencing, NGS reports, and PET-CT radiologic findings into concise longitudinal cancer journey timelines for multidisciplinary review.
ABDM-Native Cancer Records
Fully compliant with Ayushman Bharat Digital Mission (ABDM) M1–M3, enabling seamless FHIR-standard health information exchange across premier cancer centers.
Tailored for Every Oncology Stakeholder
Bridging communication, clinical safety, and care coordination
🏥 For Cancer Hospitals
Enterprise cancer institutes reduce documentation backlogs by 68%, standardize protocol adherence across satellite daycare centers, and optimize PM-JAY and private reimbursement documentation.
🩺 For Oncologists
Medical, surgical, and radiation oncologists spend up to 2 hours less per day on electronic data entry, allowing uncompromised focus on patient counseling, clinical trials, and complex case discussions.
🤝 For Patients & Caregivers
Cancer patients receive 24/7 symptom monitoring, validated educational explanations of their regimens in native Indian languages, and direct emergency escalation pathways to their hospital team.
Frequently Asked Questions
Essential guidance for healthcare executives, clinicians, and patients
General hospital EHRs are administrative billing tools designed for broad inpatient encounters. An AI oncology platform is hyper-specialized for cancer workflows—accounting for multi-week chemotherapy cycles, cumulative toxicity thresholds, biomarker-targeted regimens, and continuous out-of-hospital patient monitoring.
OncoCare operates strictly under a clinical decision support (CDS) architecture following ICMR 2023 Ethical Guidelines for Biomedical AI. The AI never acts autonomously; all summaries, dose recommendations, and SOAP notes require explicit verification and sign-off by the licensed oncologist.
Yes. OncoCare supports HL7 FHIR v4.0 and DICOM interoperability, allowing bi-directional synchronization with hospital information systems (HIS), pathology LIS, and radiology PACS.
Yes, our patient-facing interface and voice triage bot support Hindi, Marathi, Bengali, Tamil, Telugu, and Kannada alongside English, ensuring equitable cancer support across tier-2 and tier-3 regions.