Bridging the Gap in Primary Care and Specialized Hospitals

HAAZIQ is designed to transform primary healthcare by enabling fast and accurate clinical decisions at the point of care. It empowers doctors in basic health units with intelligent tools to identify critical conditions early and connect patients to the right specialists without delay.

About HAAZIQ

HAAZIQ is an intelligent clinical decision support and referral system designed to assist primary healthcare providers in delivering accurate, timely, and standardized patient care. In many healthcare settings, especially in resource-constrained environments, general practitioners face challenges in diagnosis, documentation, and referral decisions.

HAAZIQ uses artificial intelligence to streamline clinical workflows by guiding practitioners through structured patient assessments, generating standardized clinical notes, and recommending appropriate referrals. The system aims to strengthen the connection between primary care and specialized medical services, improving patient outcomes and overall healthcare efficiency.

The Challenge

Basic Health Units often lack access to specialized expertise required to detect life-threatening conditions such as cardiac or neurological emergencies. This leads to unclear referrals, delayed treatment, and poor patient outcomes.


The HAAZIQ Approach

HAAZIQ introduces an AI-powered triage engine that evaluates patient symptoms, vitals, and history in real time. The system identifies high-risk cases, assigns priority levels, and enables structured referrals with complete clinical context, ensuring timely and accurate care.

Core Features

⚡ Smart Triage Engine

Automatically prioritizes patients using clinical indicators and detects emergency cases instantly

🧠 AI Clinical Assistance

Provides real-time decision support based on patient symptoms and history

📝 SOAP Notes Automation

Generates structured clinical documentation, including subjective, objective, assessment, and plan

🔄 Referral System

Recommends appropriate hospitals and specialists with seamless handoff

🎙️Speech to Text Input

Enables voice-based consultation with automatic transcription

📊 Patient History Management

Maintains patient records and clinical snapshots for continuity of care

Open Source Foundation

HAAZIQ is built upon the open source Medical Assistant and Decision Support platform known as the Medal Project. This foundation provides essential healthcare workflow management, patient record handling, and structured clinical data processing.

The system has been extended with artificial intelligence based modules including smart triage, automated SOAP notes generation, red flag detection, and intelligent referral management. These enhancements transform the base system into a comprehensive AI enabled clinical decision support platform for primary healthcare environments.

The original Medal Project repository can be accessed by https://medal-suite.com/

How It Works

Step 1: Patient consultation begins

Step 2: The doctor enters symptoms using text or voice

Step 3: AI analyzes clinical data and identifies risk

Step 4: The system generates structured SOAP notes

Step 5: Patient is assigned a priority level

Step 6: Referral is generated and shared with the appropriate facility

Who Benefits

Primary Healthcare Providers: Doctors and staff in basic health units and clinics

Specialists and Hospitals: Tertiary care providers receiving structured referrals

Healthcare Administration: Policy makers and regional healthcare authorities

Patients: Individuals benefiting from faster diagnosis and improved care pathways

Impact

HAAZIQ improves the overall quality and efficiency of primary healthcare delivery by enabling faster and more accurate clinical decisions. It reduces referral delays, enhances coordination between healthcare levels, and ensures that patients receive timely care.

  • Significant reduction in referral delays and processing time
  • Improved accuracy and consistency in clinical decision making
  • Enhanced coordination between primary and tertiary care
  • Reduced burden on hospitals through better patient routing
  • Improved access to quality healthcare in underserved regions

Collaboration & Contact

We welcome partnerships with healthcare providers, research institutions, and industry collaborators to expand and deploy HAAZIQ in real-world settings.

Categories: Projects

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