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Aria’s AI capabilities transform how doctors create prescriptions and access patient information. Our intelligent features recognize medical entities in real-time, provide instant medication lookups, and enable natural language queries about patient history.

Medical Voice Dictation

Speak naturally to create prescriptions while our AI automatically identifies and highlights medical entities as you dictate.

Real-Time Entity Recognition

As you speak, Aria’s AI engine detects and categorizes:

Medications

Automatically identifies drug names with dosages (e.g., “Paracetamol 500mg”, “Cetirizine 10mg”)

Symptoms

Recognizes patient complaints and symptoms (e.g., “fever”, “headache”, “body aches”)

How It Works

1

Start Dictation

Tap the microphone icon to begin voice input. Speak naturally about the patient’s condition and treatment plan.
2

Real-Time Processing

Our AI processes your speech in real-time, transcribing and highlighting medical entities as you speak.Example dictation:
"Patient complains of fever and headache for 3 days. 
Prescribing Paracetamol 500mg and Cetirizine 10mg for symptom relief."
3

Automatic Classification

Detected entities are automatically categorized and displayed:
  • Symptoms: fever, headache (highlighted in amber)
  • Medications: Paracetamol 500mg, Cetirizine 10mg (highlighted with border)
4

Review and Confirm

Review the transcribed text with highlighted entities. Edit if needed, then add to prescription.
The smart dictation feature supports medical terminology in English and recognizes common Indian medication brands.
Type just a few letters to instantly search our ABHA-compliant database of 100,000+ medications.

Intelligent Autocomplete

Aria’s medication search provides:
  • Instant Results: Search results appear as you type, showing matching medications
  • Dosage Variants: All available dosage options for each medication
  • Composition Details: Full chemical composition for each variant
  • One-Click Addition: Add medications to prescriptions with a single tap

Example Search Flow

1

Start Typing

Begin typing the medication name (e.g., “croc”)
2

View Results

See all matching medications with dosage options:
  • Crocin 500mg (Paracetamol)
  • Crocin 650mg (Paracetamol)
  • Crocin 1g (Paracetamol)
  • Crocin Advance 500mg (Paracetamol + Caffeine)
3

Select Medication

Choose the appropriate dosage variant. The medication is instantly added to your prescription.
All medications in the database are verified against ABHA standards and include composition information for allergy checking.

AI-Aided Diagnosis

Get intelligent diagnosis suggestions based on patient complaints AND complete medical history.

Context-Aware Recommendations

Unlike simple symptom checkers, Aria’s AI cross-references:
  • Current chief complaints
  • Patient’s previous prescriptions
  • Lab report history
  • Existing conditions and allergies
  • Seasonal patterns and trends

Diagnosis Workflow

1

Enter Complaints

Type or dictate the patient’s chief complaints:
Fever (101°F), severe headache, body aches, fatigue for 3 days
2

AI Analysis

Aria analyzes the complaints along with the patient’s complete medical history from ABHA-linked records.
3

Review Suggestions

Receive ranked diagnosis suggestions with confidence scores:Viral Fever (URI) - 87% confidence
  • Symptoms align with recent prescription history (Paracetamol, Dec 15)
  • Seasonal pattern noted in patient records
Influenza Type B - 68% confidence
  • High fever with body aches present
  • No recent flu vaccination in records
  • Consider PCR test for confirmation
4

Make Informed Decision

Use AI suggestions as a clinical decision support tool. Final diagnosis remains with the physician.
AI diagnosis suggestions are meant to assist clinical decision-making, not replace physician judgment. Always verify suggestions with clinical examination and appropriate diagnostic tests.

Patient Health Assistant (RAG-Powered)

Ask questions about any patient in natural language and get instant answers from their complete medical history.

RAG Technology

Aria uses Retrieval-Augmented Generation (RAG) to:
  1. Retrieve relevant information from patient records
  2. Generate accurate, contextual answers
  3. Provide source citations for verification

Example Queries

Health Summary

Query: “Give me a summary of Sarah’s health”Response: “Based on Sarah Johnson’s records: She’s a 34-year-old with recent URI symptoms. Last prescribed Paracetamol 500mg on Dec 15. Lab reports from Dec 10 show normal CBC. Previous history includes seasonal allergies. No chronic conditions. Overall healthy profile with occasional viral infections.”

Allergy Check

Query: “Any drug allergies?”Response: “No documented drug allergies in Sarah Johnson’s medical history. She has tolerated Paracetamol, Cetirizine, and common antibiotics well in past prescriptions.”

Medication History

Query: “What medications has she taken in the past 3 months?”Response: References specific prescriptions with dates, dosages, and treatment durations from the patient’s history.

Use Cases

  • Quick allergy checks before prescribing
  • Review previous treatment responses
  • Identify medication patterns
  • Verify patient-reported medical history
  • Prepare for patient consultations
All RAG responses include timestamps and can be traced back to specific records in the patient timeline for verification.

Privacy and Security

All AI features are designed with patient privacy at the core:
  • ABHA Compliance: Full compliance with ABDM data standards
  • Encrypted Processing: All AI processing uses encrypted patient data
  • Audit Trails: Every AI interaction is logged for accountability
  • Doctor Control: Physicians have final say on all AI-generated suggestions
  • Data Residency: Patient data remains in India, compliant with data localization requirements

Best Practices

1

Verify AI Outputs

Always review AI-generated transcriptions, medications, and diagnosis suggestions before finalizing.
2

Combine with Clinical Judgment

Use AI assistance as a tool to enhance, not replace, clinical decision-making.
3

Keep Records Updated

Ensure patient records are current for more accurate AI insights.
4

Provide Feedback

Report any AI inaccuracies to help improve the system over time.

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