In our previous post, we covered the history of search and Deep Web Harvesting learning how search started and where we are today. In this post we hope to continue that conversation and discuss:
- The current form of search
- How is it evolving to Search 2.0
- What’s in store for Search 3.0
Health IT adoption is a hot topic in healthcare. Many healthcare providers are fighting the uphill battle to select and implement new technology.
BrightPlanet partnered with The Rockville Institute for the Advancement of Social Science and Westat to provide the data collection behind the HealthITxChange, a free, online collaborative community designed to accelerate the successful adoption of health information technology by medical practices throughout the United States.
A recent Business Week article titled “Inside Pfizer’s Fight Against Counterfeit Drugs” talks about how big the pharmaceutical fraud and counterfeiting problem is. “According to company data, in 2010 authorities from53 countries seized 8.4 million tablets, capsules, and vials of counterfeit Pfizer drugs” (Business Week, Pg. 2). The problem is huge and not only costs the industry billions of dollars yearly, but also puts the lives of purchasers of the fraudulent drugs at risk.
According to U.S. Customs, pharmaceuticals are the third most counterfeited product behind electronics and shoes. Big Data from the Deep Web can help find and stop these counterfeiters. Read more to discover how Big Data from the Deep Web helped a Fortune 100 company find counterfeiters.
As you follow the coverage of Big Data, you can often find articles about Big Data and health. The articles are about everything from data being a potential cure for cancer to whether Big Data can make us happy.
We collected a few of the articles talking about Big Data and health we have tweeted and found interesting the last couple of weeks:
Currently, most research institutions rely on free monitoring services (Google Alerts) or subscription database services (LexisNexis) for online research.
According to an article in Modern Healthcare, physician medical researchers on average earn anywhere between $160,000 to $300,000. With this much money being invested in research, it is detrimental to have these professionals using methods of online research that don’t return complete results.
Researching should be about creating intelligence from new information, not wasting time sorting through irrelevant and inaccurate search results.
In our latest whitepaper we dive into how healthcare research can harness Big Data available on the Deep Web to create efficiency and improve collaboration. The whitepaper includes:
- What information is available on the Deep Web for healthcare research
- How the information is currently collected
- The solutions available for improving Big Data collection and analysis
- How Sanford Research leveraged Big Data from the Deep Web to create efficiency
October is Breast Cancer Awareness Month and a recent CNN article published these stats from the American Cancer Society. “According to the latest data from the American Cancer Society, death rates from breast cancer among U.S. women have gone down 2.2% each year between 1990 and 2007, with larger declines among women younger than 50. Advances in treatment and early detection are thought to be the underlying reasons.”
In order to continue the development of these treatment advances, breast cancer research will need to continue to receive funding. However, it’s clear the 5 percent annual growth rate of health care expenditures of the last decade is unsustainable.* Research institutions need to increase efficiency and cut costs in order to stay within shrinking budgets.
A new theme in the healthcare industry is “translational research.” Translational research is defined as work intended to move quickly from laboratory to patient, directly affecting patient care.
Through translational research, laboratory and clinical scientists collaborate and draw conclusions from the same pool of data; this collaboration strengthens the connection between the two distinct areas of research and reduces time lags due to procedural inefficiencies.
Two major barriers to translational research, identified by Oracle Health Sciences, include:
- Lack of seamlessly integrated, productized, and scalable infrastructure to support data management, analysis, and reporting
- Difficulty in jointly analyzing public domain data and data generated in-house
The flood of Big Data that is added to the Deep Web each and every day can be harnessed and leveraged for any industry with the proper tools. You can track what is being said, when it is being said, where it is being said and who is saying it in a searchable database.
In our latest free whitepaper we examine what Big Data is and showcase case studies of five industry leaders effectively using Big Data. These industry leaders, whether they be a Fortune 100 company or a political candidate, have used BrightPlanet’s solutions to harness Big Data. Learn how you can harness Big Data in these industries:
- Business – Brand Protection and Anti-Couterfeiting
- Finance – Monitoring News with a Potential Impact on Trading
- Healthcare – Force Multiplier for Translational Research
- Politics – Brand Management and Competitive Intelligence
- Law Enforcement – Monitoring Social Media During Large Public Events
Posted in Case Studies, Deep Web and Big Data, Financial Industry, Healthcare, Intelligence Community, Law Enforcement, White Papers and Publications
Tagged big data, Big Data case studies, big data mining, deep web, Deep Web case studies, Deep Web Healthcare, deep web intelligence
BrightPlanet’s Deep Web Silos are individual repositories for topic-specific content, and are updated with new and relevant information from the Deep Web Harvester in real-time. Each one is filled with high-quality Deep Web resources – databases, RSS feeds, and more – that lie beyond the reach of traditional search engines. They also include standard analytical tools like raw data views, topic clustering, and link analysis. Additional custom analytical modules can easily be added to meet your reporting needs. Continue reading