“Does Big Data Need to be Downsized?” by Healthcare IT News

Through the use of wearables and smartphone apps, consumers today are better able to monitor their heath than ever. In addition, heath care providers, with the use of big data, have the potential to improve patient outcomes and cut costs. So what’s the problem? According to the article, the challenge with Big Data today is that it is “too big” to relate and add value to the patient as an individual. Consumers are becoming disinterested and unmotivated in keeping track of their heath data and physicians lack the tools to disseminate and analyze the information from patient-collected data. Ideally, we need to see innovation and advanced solutions that tailor to individual heath instead of just population heath. Personalizing big data would offer the consumer insights about their heath data and give the provider specific and measurable consumer-based information.

Quoted: 23andMe’s Anne Wojcicki talks big data, health and more by SiliconBeat

Anne Wojcicki, co-founder and CEO of personal genetics company 23andMe, suggests that big data should be used to improve heath care. Wojcick argues that in this age of electronic data, doctors should be better able to define the heath care needs of their patients, just as companies like Target and Wal-Mart are able to define shopping habits of their customers.

IDC says big data spending to hit $48.6 billion in 2019 by CIO

IDC (International Data Corp.) predicts that through 2019, the market for big data technology and services will grow at a compound annual growth rate of 23.1 percent and annual spending will reach $48.6 billion. Furthermore, The Worldwide Big Data Technology and Services Forecast, 2015-2019, predicts that as big data grows, it will continue to increase its share of the larger business analytics market. Ashish Nadkarni, program director, Enterprise Servers and Storage, IDC said, “The ever-increasing appetite of businesses to embrace emerging big data-related software and infrastructure technologies while keeping the implementation costs low has led to the creation of a rich ecosystem of new and incumbent suppliers.”

6 Ways Big Data Is Driving Personalized Medicine Revolution by InformationWeek

The industry has found new ways IT and big data are making a major impact on the way drugs are being researched by helping create more effective trials.

Changing the way we design and administer treatment trials, using big data to bring “personalized” or “precision” medicine to drug trials and research, can potentially reduce costs, allow the right drugs to be prescribed faster, and improve outcomes at lower costs.

One important example of how Big data and IT are contributing to medical advances can be found in the National Cancer Institute-Molecular Analysis For Therapy Choice (NCI-Match) Trial. The goal of this program is to match specific types of tumors with specific medicines based on certain genetic markers. According to the article, without the evolving use of personalized medicine and big data this practice would not have been possible because genome sequencing would have taken too long.

Exponential Medicine Day 2: Big Data Everywhere by MedGadget

This article summarizes the events of the 2015 Exponential Medicine conference (day 2), highlighting technology’s role in reinventing healthcare and biomedicine.

Exponential Medicine brings together leading thinkers, innovators and practitioners to reveal what’s happening in the labs and in clinical trials today, and what game changing technologies are likely coming to market in the next 2 to 10 years

New Diabetes Study Shows How Big Data Might Drive Precision Medicine by Forbes

The article outlines how the use of health data can better define the boundaries of different diseases, helping to create a stronger understanding and more focused treatment approach. Disease descriptions reflect contemporary understanding. As the article points out, in the case of Type 2 diabetes, there are numerous very distinct diseases that all have a common symptom in ‘poor blood sugar control’ but in fact need very different treatment and management. The hope is that richer data sets and new analytics approaches can start to provide more impactful results.

Patient Experience and the Internet of Things by Eye for Pharma

The three I’s of IoT (instrumented, interconnected and intelligent) can dramatically improve patient experience and business value in the pharmaceutical industry, according to the article. By being instrumented, pharma has to potential to provide valuable information about an individual’s health status. While Interconnected medical devises can improve information sharing among healthcare members, and intelligent devices can provide more detailed knowledge about diseases. Ultimately, the use of these devices has made problem solving easier and more effective for pharmaceutical and healthcare industries.