What is Data Linkage

What is Data Linkage

What is data linkage?

Data linkage, in simple terms, is a method of bringing together information, from different sources, but relating to the same individual or event. PHRN data linkage units link existing information from different health and health related data collections to provide data to researchers approved research. This is done using methods which minimise the risks to individual privacy.

What are the benefits of data linkage?

Many of our life experiences from the moment we are born until our death generate data that is collected and used for a range of purposes. For example, information is routinely collected when you go to school, visit a hospital, when you get married or divorced and when you have a baby. This data is collected by different organisations all over Australia.

Linking this data together is essential for a wide range of research including:

  • Investigating common and rare diseases
  • Comparing different modalities to treat diseases
  • Real world evaluation of policies, services, drugs and devices
  • Studying the origin, associated conditions and outcomes of disease
  • Monitoring the health and wellbeing of Australians across the life course

For examples of research conducted using linked data click here.

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UPDATES

PHRN COVID-19 Offering

Our network remains open. The network is interoperable and can source expertise, technology and data from around the country. Our expert staff are highly qualified and experienced in linkage of patient data, including population-based administrative data (such as hospital admissions, notifiable diseases and death data) as well as linkage of research cohort data. In addition, we provide secure file transfer and secure remote access services. We are able to work with other NCRIS capabilities to deliver coordinated access to national research infrastructure.

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NEWS & EVENTS

LATEST NEWS

SAVE THE DATE! 2020 IPDLN Conference : Data Linkage: Information to Impact | Virtual Conference I 2 - 13 November 2020

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