Data Science Applications inside HealthcareJournal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.9, No. 12)
Publication Date: 2020-12-30
Authors : K V N R Sai Krishna; A. Srinivas Rao;
Page : 30-40
Keywords : electronic health record; communications; data mining; text mining; Healthcare;
The massive amounts of data that are generated in the healthcare process and stored in electronic health record (EHR) systems are an underutilized resource that, with the use of data science applications, can be exploited to improve healthcare. To foster the development and use of data science applications in healthcare, there is a fundamental need for access to EHR data, which is typically not keenly available to researchers and developers. A relatively rare exception is the large EHR database, comprising information commencing further than two million patients that has been prepared available to an inadequate group of researchers. We will explain a number of data science applications that have been developed using this database, signifying the prospective recycle of EHR data to bear healthcare and public health actions, as well as make easy medical research. However, in categorize to understand the full feasible of this source; it requirements to be completed available to a larger population of researchers, as well as to industry actors. Aggregate data will be feed keen on a pipeline for open e-access, while non-aggregated data will be provided to researchers within an ethical permission framework. We believe that prospective to encourage on the rise diligence in the region of the development of data science applications that will in due course increase the effectiveness and helpfulness of healthcare Sector.
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Last modified: 2020-12-23 15:37:33