The Centre for Pattern Recognition and Data Analytics (PRaDA) of Deakin University, Australia has been using data insights to address real-world problems through efficient usage of Electronic Medical Records (EMR), which would transform the healthcare system. In a freewheeling conversation with the BioVoice News, Professor Svetha Venkatesh, Director, PRaDA shared her insights on the potential of EMR systems in tackling various health related issues besides the details of her partnership with Max Healthcare. Read the excerpts:
How old is the Electronic Medical Records (EMR) system and how do we maintain the standards?
Electronic Medical Records are not new but fairly recent. These are the wealth of information and essentially the journey of people through hospitals. The patients come to the hospitals, and then what happens to them there, their experiences and what kind of treatment they undergo. It is basically the journey of patients i.e. arrival, diagnosis and treatment which gets recorded electronically.
There is a world agency that regulates the standard of these medical records and currently is called International Classification of Disease-10, which is the tenth revised version. Therefore, the EHR software have to ensure compliance to ICG-10.
How do predictive algorithms work and how can they improve the quality and efficiency in clinical procedures?
Predictive algorithms have huge potential to drastically improve hospital efficiency. The interesting part is that medical data is not recorded in the text but a code which adds huge value for the machines. The codified data that is ready with information is then put to use by the machines for predictive analysis.
The predicative potential of EMR is therefore huge for clinical procedures. You are going to have the patient’s journey across years and they can start asking questions as well as find the answers. For these questions, one earlier had to do experiments and clinical trials to understand what is happening in the population of your interest.
Recently Prof Venkatesh has been awarded an ARC Laureate Fellowship by the Australian Research Council (ARC). The Fellowship will provide over $3 M in funding to support a project that aims to determine how pattern recognition can be harnessed to accelerate and expand the capability of experimental optimisation that underpins scientific innovation.