NHMRC Definitive Patent Dataset Project

About NHMRC

Australia’s leading body in health and medical research, the National Health & Medical Research Council (NHMRC) create pathways to a healthier future through their research funding, their health guidelines and the ethical standards hey set and uphold.

As the nation’s leading expert body in health and medical research, they set themselves high standards of integrity and scientific rigour, eeing themselves as championing the pursuit of better health outcomes for all Australians.

 

Semantic Sciences and Sintelix

Sintelix was originally created by Semantic Sciences. Sintelix Pty Ltd was formed in 2017 as the company vehicle for Sintelix software. Semantic Sciences utilised Sintelix technology in solving NHMRCs data challenges.

 

The NHMRC Dataset Challenge

NHMRC has funded 20,000 health and medical research grants with a total value of over $11 billion. While this has delivered massive benefits to the Australian health system, the full value was unknown so the NHMRC initiated a series of projects to establish the commercial impact of research it has funded.

As research commercialisation in the health and medical domain is strongly dependent on the use of patents, the focus of one of these projects was patent identification.

 

The Semantic Sciences Solution

There were three stages used to source and verify patents that are linked to NHMRC funded research. The image below shows the approach taken and flow of data across the three stages.

Stage 1: Automated patent identification
In stage 1 of the project Semantic Sciences used computer automation to compare NHMRC grants with over 10 million patent records gathered from three large repositories: IP Australia, the World Intellectual Property Organisation and the United States Patent and Trademark Office. 65,000 candidate patents were identified.

Stage 2: Scoring and refinement
In stage 2 a sophisticated scoring algorithm was used to further refine the results, reducing the count to 11,497.

Stage 3: Computer-assisted human review
Stage 3 involved a computer-assisted human review process. Semantic Sciences created a web-based patent review system to accelerate this process, resulting in the confirmed discovery of 1,105 new patents with connections to NHMRC grants and a further 1,132 requiring expert confirmation.

To demonstrate the viability of assessing the commercial impact of NHMRC-funded research, 10 patents were chosen at random and reviewed for reported sales, product authorisations, commercialisation and follow-on research. The combined commercial impact of these patents was $862 million.

 

Outcomes and Benefits for NHMRC

  • NHMRC now has a dataset that enables it to continue assessing the commercial value of its research program.
  • By combining advanced data analytics, the rapid development of a software application for accelerated human review, and swift review processes, Semantic Sciences was able to link research projects to derived patents, which is practically impossible for humans to do unaided. We are now working together to refine the algorithms and the data to further improve outcomes.

“NHMRC has benefited greatly from its engagement with Semantic Sciences on multiple projects. Semantic Sciences have delivered high quality solutions on time and within budget” Tony Krizan, CFO, CIO National Health & Medical Research Council

 

PDF Download

Click here to download this case study in PDF format.

 

More Information on Semantic Sciences

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