AI-powered medical coding uses machine learning and natural language processing to read clinical documentation and automatically assign ICD-10, HCC, CPT, and E/M codes. Jivica's product Anica processes each chart in 5–15 seconds with 92.6% accuracy — compared to 10–20 minutes for manual coding.

Anica achieves 92.6% accuracy across ICD-10, HCC risk adjustment, and E/M coding categories. This is validated consistently across both small batches and high-volume processing of 100,000+ charts. All results can be routed through human review for quality assurance.

Anica supports ICD-10-CM/PCS, HCC risk adjustment (V24 and V28), CPT coding, E/M coding (2021+ guidelines with MDM analysis), HCPCS Level II, and HEDIS quality measures — all from a single API.

DelPHI is Jivica's AI-powered de-identification system. It detects and removes all 18 HIPAA Safe Harbor identifiers from clinical documents — including names, dates, SSNs, medical record numbers, and biometric data. It supports text, PDF, and scanned images via OCR.

Jivica offers REST API integration with OAuth 2.0 authentication, RPA-based solutions for legacy systems, and SMART on FHIR integration (in pipeline). Current EHR integrations include Allscripts and eClinicalWorks, with Epic, Cerner, and others in pipeline.

Jivica's RCM Agentic AI uses autonomous AI workflows to automate end-to-end revenue cycle processes — from patient registration to coding, claims submission, denial management, and payment posting. It achieves 60% faster claim processing and 35% cost reduction.

Jivica AI Private Limited was founded by Anand Pavan Mandala (IIT Delhi, IIM Ahmedabad, 25+ years in healthcare IT) and Suphala Mandala. The company is based in Hyderabad at T-Hub, was selected for Google for Startups AI Academy India 2024, and is DPIIT Startup India recognized.

MEAT stands for Monitored, Evaluated, Assessed, and Treated — CMS requires HCC diagnoses to meet at least one MEAT criterion for valid risk adjustment. ANICA's AI agents automatically detect MEAT evidence using clinical NLP (not just keyword matching), provide section-aware analysis, and score compliance as Full, Partial, or Non-compliant — catching documentation gaps before RADV auditors do.

ANICA includes a built-in RADV Readiness Scorer that evaluates every code across five dimensions: MEAT compliance (30%), evidence strength (25%), provider signature (20%), date of service consistency (15%), and guideline compliance (10%). Codes are risk-stratified as Low, Medium, High, or Critical — so your team can focus manual review only on at-risk codes.

ANICA provides full transparency through a complete audit trail for every AI decision. Unlike black-box AI solutions, you can see exactly how and why each code was suggested — every validation, every evidence link, every compliance check is inspectable and defensible. ANICA uses purpose-built AI agents specialized for each stage of the coding workflow, orchestrated to deliver consistent, explainable results at scale.

API integration typically takes 1–2 weeks. Full workflow integration with EHR systems takes 2–4 weeks depending on your organization's setup. Jivica provides dedicated onboarding support, comprehensive documentation, and sandbox environments for testing.