Researchers in the life sciences are generating and storing more data than ever, but they still face obstacles in realizing its true potential. Making sense of the massive amounts of data is important not only for furthering research efforts, but also for developing diagnostic and therapeutic products – and for expeditiously moving these products along the precision medicine pathway, according to the article.
How Big Data, EHRs, IoT Combine for Chronic Disease Management by Health IT Analytics
The combination of Big Data analytics, Electronic health records, and the Internet of Things may mean a meaningful, engaging, and supportive chronic disease management environment. According to the article, embracing disease management programs is imperative for the delivery of high quality, proactive, and effective patient care.
The Big Data Difference: Smart Medical Devices by Healthcare IT News
With the implementation of smart medical devices like automated insulin pumps and diagnostic instruments that can interpret their own results, the future of healthcare is here. The question is, What if we could build medical devices that can not only interpret test results but also recommend or deliver courses of treatment? Big data analytics continues to drive innovation within healthcare industry.
How Big Data Is Transforming Medicine by Forbes
There’s no doubt that we’re on the verge of exciting new ways to understand, treat and prevent diseases. Big data is at the forefront in its efforts to help clinical trials. By mining the world of practice-based clinical data, big data could tell us who has what condition and what treatments are working. Ultimately, we could learn how to better care for individuals and understand more about the health of the population as a whole.
Infographic: Rise of Mobility in Healthcare by HIT Consultant
Mobility in healthcare spending is projected to reach $5.4 billion this year, according to an IDC Health Insights report. In fact, the U.S. coming in as the largest market in the world for mobile devices. Smart phones and other communication tools coupled with a larger than average aging population with a greater prevalence of chronic diseases are the biggest drivers of this growth.