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AI Clinical Decision Support System

Clinical AIDecision SupportGP NetworkMachine Learning

Comprehensive AI clinical decision support platform built for a network of 45 GP clinics across Victoria and NSW. The system integrates with existing practice management software to analyse patient records, pathology results, and clinical notes in real-time, providing doctors with evidence-based diagnostic suggestions, drug interaction alerts, and treatment pathway recommendations. The AI engine is trained on Australian clinical guidelines and Medicare requirements.

Timeline
14 months
Team Size
12 specialists
Investment
Upon request
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Challenges

⚠️

Integrating AI recommendations with existing clinical workflows without disruption

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Training models on Australian-specific clinical guidelines and Medicare protocols

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Ensuring patient data privacy and compliance with Australian health data regulations

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Handling diverse patient demographics and medical conditions across 45 clinics

Solutions

Developed non-intrusive AI overlay that integrates with Best Practice and Medical Director

Trained models on Australian Therapeutic Guidelines and PBS data

Implemented end-to-end encryption with on-premise data processing option

Created adaptive AI that learns from each clinic's patient population

Key Features

Real-time clinical decision suggestions during consultations
Drug interaction and contraindication alerts
Evidence-based treatment pathway recommendations
Pathology result analysis with flagged abnormalities
Medicare billing code suggestions
Clinical documentation assistance
Referral letter generation with AI assistance
Integration with Best Practice and Medical Director

Results & Impact

Deployed across 45 GP clinics with 180+ doctors using daily
30% reduction in average diagnostic time
98.5% accuracy in drug interaction detection
25% improvement in Medicare billing accuracy
40% reduction in unnecessary referrals
92% doctor satisfaction rating

Project Metrics

45 GP clinics deployed
30% faster diagnosis
98.5% accuracy rate

Technologies Used

frontend

Next.js 14React 18TypeScriptTailwind CSSProgressive Web App

backend

Python FastAPINode.jsClinical NLP PipelineHL7 FHIR

database

PostgreSQLRedisVector DatabaseClinical Data Warehouse

ai

Clinical NLPDiagnostic ML ModelsDrug Interaction EngineEvidence-Based AI

deployment

AWSDockerKubernetesHIPAA-Compliant Infrastructure

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