Is the data refined? Do hospitals really leverage the raw data enough to get generate insights. What should be done?
What is the deeper aim behind partnership on healthcare data mining between Deakin University and Max Healthcare?
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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
improving hospitals’ efficiency. This is just an example.
Is the data refined? Do hospitals really leverage the raw data enough to get generate insights. What should be done?
Currently the data is just wild and there is no categorization. The hospitals don’ t pool data. The moment they pool in the data, it will become more precise and allow the algorithms to do a better job.
Depending on the patient profile, sometimes the patients come and leave. The data utilization could help the hospitals to take decisions regarding the patient health and treatment. The predictive analytic models are very good with sometimes 60-70 percent accuracy and even 80 to 90 percent. More data you have, more accurate the predictions you make.
What is the deeper aim behind partnership on healthcare data mining between Deakin University and Max Healthcare?
Deakin University, Centre for Pattern
Recognition and Data Analytics in Australia signed an agreement with Max Healthcare to develop a project that will focus on data analytics for healthcare management in India in 2015. Max Healthcare runs 10 hospital branches in India, of which eight are in the National Capital Region( NCR). This is the first of its kind venture, where both partners have put big data to work across a large array of medical records including admissions, diagnosis and computerised registries with the aim of identifying critical safety issues and assisting clinical
28 BioVoiceNews | October 2017