Sample Assist uses AI to streamline interactions between employers, employees, health professionals, and patients.
By unlocking paper-based data and enhancing digital intelligence, our AI solutions support safer, smarter decisions in workplace health.
We apply AI across four key areas to improve accuracy, security, and clinical insight:
AI in Workplace Drug Testing
At Sample Assist, we are proud to lead the way in applying artificial intelligence (AI) to the workplace drug testing and occupational health.
Harnessing AI to Drive Efficiency and Integrity
As Australia’s foremost provider of secure digital infrastructure for workplace drug testing, we believe AI is a positive, transformative force — one that improves operational efficiency, enhances quality, and strengthens both compliance and the overall integrity of workplace testing processes.
What AI is Not
We are clear about what AI is not. AI at Sample Assist does not make clinical decisions. It does not replace human oversight or diagnostic judgment. Rather, we use AI responsibly — to automate routine tasks, bolster system security, generate meaningful insights, and improve the overall experience and outcomes for our employers and their employees.
AI with Purpose
We believe AI should always serve human needs, not displace them. At Sample Assist, our use of AI is grounded in transparency, explainability, and responsibility. Our systems are designed to enhance clinician workflows, reduce administrative fatigue, improve accuracy, and provide organisations with actionable intelligence that supports safer, healthier workplaces.
Setting the Standard
As AI reshapes the future of occupational health, Sample Assist is proud to set the benchmark for secure, ethical, and evidence-based adoption of these technologies. As pioneers in digital health, our investment in AI reflects our broader mission: to build digital healthcare infrastructure that is smart, secure, and always people-first.
How We Use AI
At Sample Assist, artificial intelligence is not just a feature, it is a core design principle. We view AI as a foundational capability that evolves in step with advances in science and technology. From natural language analytics to intelligent paper-to-digital conversion, the Sample Assist Platform is built for adaptability and scale.
Our unwavering commitment to innovation ensures we continually adopt the most effective and responsible technologies available.
Here’s how we are already putting AI to work to deliver real-world value for our clients, their teams, customers and the communities they serve.
Patient Notes
We use AI-powered machine learning models to convert spoken observations, instructions, and procedural notes into structured, searchable text — reducing manual data entry and improving record accuracy.
Patient ID
Our platform uses intelligent OCR to extract and validate information from paper forms, IDs, and clinical documentation. This reduces administrative burden and supports compliance by streamlining information flows.
AI Powered Security
Sample Assist integrates advanced AI to monitor user behaviour and detect anomalies that may indicate unauthorised access, data misuse, or potential security threats. This proactive approach helps us safeguard sensitive medical and workplace data to the highest standard.
AI Powered Reporting
AI allows us to product advanced reporting identifying trends and patterns, while producing reports and dashboards that enable smarter decision-making from workforce risk profiling to operational performance benchmarking.
Unlocking Trapped Data
We use advanced AI to review, scan, and archive paper-based records. This liberates critical data that would otherwise remain trapped in hardcopy formats. By automatically converting legacy files into structured digital records, we unlock long-term value from historical documentation and enable powerful data analysis across time.
Human-Led Analytics
At Sample Assist, we are pioneering the next generation of data interaction through what we call Natural Language Intelligence (NLI). Powered by advanced Large Language Models (LLMs), this capability enables employers, clinicians, policymakers, or researchers to access and explore their real-time and historical data simply by asking questions in natural, everyday language.
Quantum Safe Encryption
As part of our ongoing research and development program with Innomente, Sample Assist works in collaboration with leading Australian universities and the Australian Research Council (ARC) to develop quantum-safe encryption technologies to protect sensitive workplace health data.
This initiative is focused on safeguarding the privacy of both employees and employers by preparing our digital infrastructure for a post-quantum security environment.
Our goal is to ensure that all data managed within the Sample Assist platform remains secure, resilient, and future-ready — even in the face of emerging quantum computing threats.
