In healthcare, information comes from multiple sources and it does exist in multiple forms like images, video, text, numerical data, multimedia, paper, electronic records or what not. These all are very important in the healthcare industry. Data mean the world to them.  So it is really necessary to have the right analytical tools to analyze such huge volumes of data. Moreover, jargons used in healthcare are often alien to patients or a layman. Inconsistent definitions, unstructured data is very hard to aggregate and maintain. Hence, if big data analytics used wisely can help save hundreds of billions every year. Read the complete article here: http://www.forbes.com/sites/sap/2016/02/22/can-big-data-analytics-save-billions-in-healthcare-costs/#4fdcfd7f6253

With plenty of big data on its hands, the healthcare industry will be able to improve quality and patient outcomes only if it is able to extract meaningful, actionable insights from this bounty of raw information. To reap the benefits of healthcare big data analytics, organizations should bring about cultural and leadership changes to promote analytical approach to the practice of medicine. Research puts it that to achieve improvement, multiple types of data are required which can identify opportunities, measure progress, and help users understand what works. Using predictive analytics to identify high-risk patients, reducing infections and adverse cases through implementing evidence based protocols and realizing the importance of patient-centred care are some of the measures that have been reported to have made an impact. Read more at: http://healthitanalytics.com/news/healthcare-big-data-analytics-plays-critical-role-in-quality