
Datarwe NLP
Read how KJR built and validated a custom NLP pipeline using its Validation Driven Machine Learning (VDML) approach to achieve >99% accuracy in de-identifying patient data, enabling secure, scalable, and compliant AI-driven data sharing.
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KJR is a trusted Australian technology consultancy with over 27 years’ experience delivering critical software assurance, testing, and AI capabilities across the healthcare sector. We help governments and hospitals deliver secure, interoperable, and patient-centred digital transformation while reducing ICT risk and improving clinical outcomes. Download our capability statement to discover how KJR can support your digital health initiatives with confidence.
Emerging technologies are revolutionising the future of healthcare and are increasingly being employed to help fight illness, develop new vaccines, medicines, and translate medical research into the healthcare sector for improving patient outcomes and operational efficiency.
The COVID-19 pandemic has helped to accelerate the digitisation of the healthcare industry and has seen a rise in interest amongst healthcare providers, leaders, practitioners and governments to invest in digital solutions for diagnosis and prognosis prediction. Areas such as telemedicine personalised medicine, genomics, and wearables will continue to grow in this space with the utilisation of:
Technologies such as :
Furthermore, these tools and technologies are helping to make more efficient healthcare process, including:
Health digitisation will rapidly result in significant savings in both time and economic costs for healthcare organisations and product development lifecycles but is dependent on secure access to cleansed, labelled and validated real world clinical data.
At KJR we understand the sensitive nature of health information and the importance of guaranteeing this data is secure and protected. Our consultants provide several layers of data protection across the whole data lifecycle with services in:
To ensure you unlock the most from your data, securely and ethically.
Read through the case study examples below to understand how we’re assuring digital success for the healthcare sector.

Read how KJR built and validated a custom NLP pipeline using its Validation Driven Machine Learning (VDML) approach to achieve >99% accuracy in de-identifying patient data, enabling secure, scalable, and compliant AI-driven data sharing.

KJR enabled a seamless, secure ALM cloud migration for the Department, delivering zero downtime, 100% data retention, and improved system performance through independent assurance, real-time oversight, and AI-driven risk assessment.

KJR was engaged to provide testing expertise in the implementation of a new pathology system, transitioning to CIRDAN’s Ultra product for future-proofing and competitiveness. The project achieved NATA and PGA accreditation with the new system providing improved services to clients.

KJR upgraded a government health department’s LoadRunner testing platform, resolving performance issues and improving system stability. KJR’s efforts ensured the department could deliver resilient, high-performance healthcare services without disruption.

Over the years the nature of KJR’s technological and consultative engagement with the health sector has evolved and presents a diverse body of work across several lines; software quality engineering, data quality and governance.

Due to the rapid adoption of Telehealth as a result of Covid-19 the client required an extensive review of their security management. With heightened security concerns, particularly in
safeguarding their patients’ personal information, the client engaged
KJR.

Datarwe is a data platform start-up that focuses on the ways in which AI and machine learning (ai-ml) can be applied to data and used to solve real-world problems. Currently, Datarwe’s focus is on long-term data collection from individuals in Intensive Care Units (ICU).