5 Ways How Big Data is Boosting the Efficiency of Healthcare Services

5 Ways How Big Data is Boosting the Efficiency of Healthcare Services

The importance of data is limitless in an industry where millions of valuable patient information keeps circulating from one end of the system to the other. Converting this data into insight that can be later used for delivering better healthcare services to end users was made possible by the introduction of Big Data technologies in the industry. Gradually, the wave of digitalization transformed the way hospitals and other healthcare systems managed and accessed medical records for offering better care facilities to patients.

Although the participation of healthcare companies in adopting new technologies like Big Data has been considerably less unlike the other industries, its impact on the industry has been noticeable within a short span of time. Leveraging Big Data, companies have witnessed improvement in their performance and have been successful in delivering affordable care services to the growing population.

Here are five ways indicating the positive impacts of Big Data in the healthcare sector.

1. Pointing Out High-Risk Patients

Predictive analytics in the field of medicine is all about using current data to make medical predictions that help hospitals avoid reimbursement and financial penalties and better serve the patients. Application of predictive analytics in the healthcare domain can contribute to improving chronic disease ...


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5 Essential Clues to Achieve Data-Driven Marketing

5 Essential Clues to Achieve Data-Driven Marketing

Long gone are the days when businesses followed the blinded-experiment, where tests were masked and in some cases impractical. It’s time to go beyond the old school approach and stop assuming data as output and start considering it as an input. Data is an asset to organise and eventually action the business process from strategy to planning and further product design.

"Data doesn’t give insights; it gives you data that gives you clues into possible insights." - Rob Campbell

In the data-driven world, data means knowledge, and knowledge equals power, which in turn results in revenue. In the long run, data-driven marketer ought to have the ability to recognise what flows through the sales funnel producing the most income.

Many companies these days operate on driving real-time strategies to influence consumer connections. There are a variety of tools available for marketers to understand the best working paths. Today, data has attained its dynamic form; its emergence has influenced new methods, strategies, and concepts that focus on gathering different data for a useful data-driven approach. The clean, verified and updated data is the future of B2B marketing Industry.

As a data-driven marketer here are 5 of the essential approaches that you should opt for:

1. Of course, ...


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How Thick Data Can Unleash the True Power of Big Data

How Thick Data Can Unleash the True Power of Big Data

All that Data which is measurable may not be qualitative. While Big Data helps us find answers to well-defined questions, Thick Data connects the dots and gives us a more realistic picture.   

We have been hearing this for quite a few years that Big Data and Analytics are the next big waves. While these waves are already sweeping us over, we are missing out on the small things going for the big. Big Data has emerged to be remarkably useful when it comes to finding answers to well-defined questions and addressing phenomena that are well understood. What it fails to recognize is the complicacy of peoples’ lives, human connections, underlying emotions, changing cultural ecosystems, interesting stories, and other social ingredients.

For instance, it made big news when Nokia was acquired by Microsoft in 2013. While there could be many reasons behind Nokia’s downfall, one of the prominent reasons that Tricia Wang, a Global Tech Ethnographer describes is the overdependence on numbers. Sharing her story on Ethnography Matters, she mentioned how her recommendations to Nokia to revise their product development strategy did not receive enough attention as the sample size used for her study was considered too small in comparison to millions of ...


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