Intelligence built
into every workflow
Rely AI embeds clinical intelligence directly into your HIMS — predicting risks, automating documentation, optimising revenue, and supporting every clinical decision without disrupting how your team works.
Six ways AI transforms your hospital
Each capability is embedded directly into your existing HIMS workflows — no separate app, no extra login, no disruption.
Predictive Patient Risk
ML models trained on clinical data flag high-risk patients 48–72 hours before deterioration — enabling proactive intervention and reducing ICU transfers by up to 30%.
Clinical Decision Support
Context-aware alerts at the point of care — drug interactions, dosage checks, differential diagnosis suggestions, and evidence-based treatment pathways integrated into the EMR workflow.
NLP — Voice to Structured Data
Physicians dictate notes naturally. Our NLP engine converts speech to structured SNOMED/ICD-coded clinical data in real time — eliminating manual documentation and coding errors.
Smart OPD Scheduling
AI predicts no-show probability per appointment and auto-fills slots with waitlisted patients. Reduces idle OPD time by 25% and improves patient throughput without adding staff.
Revenue Cycle Intelligence
AI scans every bill before submission — catching under-coding, missing charges, and denial-prone claims. Hospitals see 12–18% improvement in net collections within 90 days.
Radiology AI Assist
Deep learning models pre-screen X-rays, CT scans, and MRIs for critical findings — flagging abnormalities for radiologist review and reducing report turnaround time by 40%.
AI for every department
From the emergency bay to the billing office — Rely AI delivers relevant intelligence to every team in your hospital.
Emergency & ICU
- Sepsis early warning (6–12 hr ahead)
- Deterioration prediction score
- Ventilator weaning readiness
- Rapid triage prioritisation
Radiology
- Chest X-ray abnormality detection
- CT pulmonary embolism flag
- Bone age estimation
- Fracture detection assist
OPD & Outpatient
- No-show prediction & auto-fill
- Chronic disease risk scoring
- Medication adherence alerts
- Follow-up gap identification
Finance & Billing
- Pre-submission claim scrubbing
- Denial pattern analysis
- Under-coding detection
- Payer-specific rule engine
How Rely AI works
A continuous loop of data ingestion, model inference, and actionable output — all happening in the background while your team focuses on care.
Data Ingestion
Clinical, operational, and financial data flows in real-time from your HIMS, EMR, LIS, and RIS.
Feature Engineering
Raw data is cleaned, normalised, and transformed into model-ready features automatically.
Model Inference
Trained ML models run inference continuously — risk scores, predictions, and anomaly flags generated in milliseconds.
Contextual Alerts
Insights surface at the right moment — in the EMR, billing screen, or nurse station — not in a separate dashboard.
Feedback Loop
Clinician actions feed back into the model. Accuracy improves continuously with your hospital's own data.
AI you can trust in clinical settings
Every Rely AI model is explainable — clinicians see why a risk score was generated, not just the number. Our models are validated on Indian patient populations, regularly audited for bias, and designed to assist — never replace — clinical judgment.
Validated on 50,000+ Indian ICU patient records. Updated quarterly.
See Rely AI in action
Book a live demo and see how AI-powered insights can reduce patient risk, cut documentation time, and improve your hospital's financial performance — starting day one.