Healthcare industry has traditionally lagged behind traditional industries like banking and retail in the use of big data, primarily because of concerns about patient confidentiality. This is about to change. In the past few years, there has been an increase in supply of information in the Healthcare domain. Healthcare providers have digitized their patient records, governments have been opening up their repositories of information on healthcare (including data from insurance customers and clinical trials), and pharmaceutical companies have been aggregating years of research and development data. Coupled with the advancements in data collection and analysis techniques, all of these developments point to major breakthroughs in how Healthcare Industry utilizes its data.
Some examples from the applications of Big Data and Analytics in the Healthcare Industry Include:
According to the Institute for Health Technology Transformation, in 2012, the amount of U.S. healthcare data reached 150 exabytes. That’s 150 billion gigabytes. The sheer size of this data, coupled with the lack of data scientists, is a major challenge for healthcare organizations in today’s world.
Experfy has been collaborating with leaders and practitioners in the healthcare analytics industry to tailor courses specifically designed to address the challenges in healthcare. Whether you’re a passionate student looking for a career in healthcare analytics, or a seasoned executive hoping to drive change in an organization, Experfy's courses on Healthcare Analytics will enable you to accelerate your career by gaining practical skills.
According to Indeed, the average salary for a data scientist operating in the Healthcare domain is $125,000/year.
A step-by-step guide to healthcare researchers
Learn about how data science is utilized in the Healthcare Industry
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