Purpose-Built for
Centers of Excellence
Empower clinical genetics teams with AI-assisted workflows, clinical decision support, longitudinal patient management, and research-ready data, all within a single intelligent platform.
- HP:0001250 · Seizures
- HP:0000924 · Skeletal anomaly
- HP:0004322 · Short stature
THE CHALLENGE
The Challenges Facing Rare Disease Centers
Centers of Excellence manage some of the most complex patient journeys in healthcare, yet clinicians still rely on fragmented workflows, manual documentation, and disconnected systems.
Unstructured Clinical Records
Clinical histories, laboratory reports, and genetic findings arrive in multiple formats, making structured analysis difficult.
THE SOLUTION
How IndiGeneUs.AI Transforms Rare Disease Care
From intelligent data capture to AI-assisted clinical reasoning, IndiGeneUs.AI supports clinicians throughout the entire rare disease journey.
CLINICAL WORKFLOWS
AI-Assisted Clinical Workflows
Standardize complex clinical pathways with configurable workflows purpose-built for genetic and rare disease programs.
Consistent documentation across every consultation
HPO TERMS
SYMPTOM ONSET
FAMILY HISTORY
INTELLIGENT DATA CAPTURE
AI-Powered Data Capture
Automatically digitize reports, extract HPO terms, and structure clinical information through AI-assisted OCR and phenotype extraction.
Eliminate manual data entry from clinical reports
lab_report_aiims_2024.pdf
2.4 MB · Uploaded just now
IDENTIFIED DATA
- Gene VariantBRCA2 pathogenic c.5946delT
- PhenotypeHP:0001250 Seizures
- PhenotypeHP:0000924 Skeletal anomalies
- Lab ValueCK: 1,240 U/L ↑ elevated
CLINICAL DECISION SUPPORT
Evidence-Driven Diagnosis
Generate evidence-backed differential diagnoses by combining phenotypic, genomic, and clinical evidence through RAPID Score™.
Faster, more confident diagnostic decisions
Ranked candidates
- 74%
Dravet Syndrome
G40.82
- 48%
GEFS+
G40.30
- 23%
Lennox-Gastaut
G40.812
- 15%
Angelman Syndrome
Q93.51
Evidence summary
- Phenotypic Features12 matched
- Genomic VariantsSCN1A detected
- Literature Evidence47 publications
LONGITUDINAL INTELLIGENCE
Longitudinal Patient Intelligence
Track patient journeys, monitor outcomes, and continuously enrich structured datasets for care, analytics, and research.
Every follow-up strengthens clinical intelligence
Ananya Sharma
ID: GEN-2024-041 · Rare skeletal dysplasia
Jan 2023
Initial Visit
Jun 2023
Follow-up Consult
Dec 2023
Diagnosis Confirmed
Aug 2024
Follow-up Due
PENDING
LAST NOTE — DEC 2023
Skeletal dysplasia confirmed. NPRD report filed. Next review in 8 months.
MEASURABLE OUTCOMES
Transforming Clinical Care into Measurable Impact
Deliver meaningful improvements in clinical efficiency, diagnostic confidence, and institutional intelligence.
TIME SAVED
2-3 hrs→Minutes
- Manual re-entry & HPO searches
- AI-driven automated extraction
DIAGNOSIS QUALITY
Memory→RAPID Score
- Inconsistent, recall-based
- Evidence-ranked, reproducible
DATA AVAILABILITY
Siloed→Registry-Ready
- Zero research output
- Structured cohort dataset
Enable Smarter Rare Disease Care at Your Center
See how IndiGeneUs.AI helps Centers of Excellence streamline clinical workflows, support faster diagnosis, improve longitudinal care, and generate research-ready data through AI-assisted clinical intelligence.