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Marquette health care data analytics blog

More than half of U.S.-based companies offer educational support programs to employees, so there’s a decent chance your organization already has a system in place to help pay for your academic endeavors. Whether the practice exists already or not, it can be a bit nerve wracking to speak to your management team about helping you finance your degree. Follow our guidelines below to make sure you’re ready for the big conversation.
Experts working in the field of health care data analytics tend to be familiar with a specific set of digital programs that they use to collect and analyze data. Learn about the most common software health care data analysts use.
The field of bioinformatics is a combination of biology and information systems. It is often centered around the study of DNA, RNA, and amino acid proteins, and how our bodies acquire, store, and disseminate biological data. As research, science, and health care become increasingly complex and rely more on computational science to improve care and outcomes, it is a rapidly growing field.
Health care and technology are two of the fastest growing industries for the U.S. economy, with the employment rate for health care data analytics set to grow by 30 percent over the next ten years. As hospitals increasingly look to use big data to optimize their organizations and patient outcomes, health care data analysts are finding themselves in high demand.
In the hands of experienced health care data analysts, big data can be leveraged as a powerful tool for positive change and to improve health care outcomes for large groups like employees.
More data was created in the last two years than in the entire human history before that, so it’s little wonder that health care data collection is a high priority for the medical field. Read on to explore the different types of health care data that can be collected, as well as the advantages and challenges for each type.
A key aspect of practicing medicine is anticipating and mitigating risks based on knowledge gleaned from past and current patient data. That’s precisely the intersection at which predictive analytics is changing the health care industry.
Explore what highly trained data analysts will need to know, and do, to succeed in the health care industry.
Associate professor Michael Zimmer, Ph.D., is an esteemed data ethics and privacy scholar whose interdisciplinary work touches many fields. Learn more about Dr. Zimmer’s work and some of the critical lessons he teaches to his health care data analytics students as a part of the data science curriculum.
Opportunity is booming at the intersection of data and health care. Find out the optimal skills to be a successful data analyst and fuel the transformation of the field through health data science.
What exactly is big data? Learn more about the terms behind health care’s powerful data science capabilities and the incredible ways data analysts are helping to improve care, reduce costs and save lives.
In this age of big data, there’s good news on the career front. The American Health Information Management Association (AHIMA) notes, “The vast volumes of electronic data ... creates promising career opportunities for health data analytics and informatics professionals.”
Health care data analysts are the professionals at the center of improvement efforts. Read more to learn about the role of health care data analysts, how they’re working to make the industry better and job outlook for the career as a whole.
As the amount of data generated by individuals and collected by hospitals and health systems increases, effective and secure health information management (HIM) becomes a bigger concern. Both health care data analysts and health informaticists work with patient health information. However, professionals in these two disciplines interact with data in different ways and the skills and degrees needed to excel within them vary.