Health Text Processing Case Study

23Nov 2017
a range of line and bar graphs against a blurred purple background

The Challenge Search technologies are critical to enable clinical staff to rapidly and effectively access patient information contained in free-text medical records. Medical search is challenging as it suffers from the semantic gap problem: the mismatch between the raw data and the way a human being interprets it. Valuable domain knowledge explicitly represented in structured […]

23Nov 2017
droplets of moisture along the strands of a spiderweb

The Challenge Death certificates provide an invaluable source for mortality statistics, which can be used for surveillance and early warnings of increases in disease activity and to support the development and monitoring of prevention or response strategies. However, this value can be realised only if timely, accurate and quantitative data is extracted from death certificates, […]

23Nov 2017
Ones and zeros repeat in a circle.

Pathology notification for a Cancer Registry is regarded as the most valid information for the confirmation of a diagnosis of cancer. The development of a clinical decision support system to unlock information from medical free-text can significantly reduce costs arising from manual processes and enable improved decision support, enhancing efficiency and timeliness of cancer information […]

17Nov 2017
A smiling woman in front of a computer screen

The challenge: Adopting the international standard for healthcare data Electronic management of health information promises safer, more efficient and better quality healthcare. However, different health records often use various terms to describe the same medical concept. This creates a major stumbling block when it comes to integrating this data electronically. Australia has joined many other […]

16Nov 2017
bird's eye view of the land meeting the ocecan

The challenge: Incompatible health data Australia’s health care system faces many challenges. One is the increasing demand for clinical information to be shared between individual health practitioners, health care provider organisations and state/territory health departments. Patient data is often captured in disparate electronic systems, different formats, and described using different clinical terminologies or “languages”. This […]