The developments in data storage and analytics, combined with advancement in technology and medical research will completely change the future of healthcare and medicines. With the evolution of modern genomics along with analytics, healthcare sector will undergo a complete metamorphosis. According to a famous doctor, this change is being driven by three factors. Digital revolution- the use of mobile devices and apps through which information about actual human behavior can be obtained. Genetic revolution- which has identified large number of genetic variations which contribute to a large number of human traits and risks of various diseases. And finally Data revolution- which allows to get insights not only into individual patients but also the entire population. To know more read: http://blogs.wsj.com/cio/2015/03/20/the-promise-and-challenge-of-health-analytics/?KEYWORDS=analytics

A chunk of healthcare information is being generated through electronic medical records, wearable devices and centralized databases leading to improvement in care, lowering of costs and driving efficiency. Healthcare, in recent times, is characterized by data-driven technologies thus leading to betterment of treatment, quality, safety and efficiency. These modern data-driven techniques also raise serious privacy and security questions as pointed out by Chris Boone, executive director of the Health Data Consortium. Concern over security arises when organizations pile sensitive consumer data. To mitigate the problem of data privacy, researchers recommend encrypting health data both in transition and at rest as healthcare companies are the popular targets of cyber criminals. Read more at: http://www.cio.com/article/2914170/healthcare/how-to-balance-data-privacy-and-healthcare-improvements.html

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

The Internet of Things has the ability to benefit the healthcare sector vastly in the future. With EHR clinical analytics and sophisticated machine learning combining with big data from wearable, home monitors, medical devices, the Internet of Things has a huge potential for creating a productive environment of predictive analytics and prescriptive insights. Yet the concept is met not without challenges. In order to successfully reap the benefits, Jennifer Bresnick suggests development of certain core competencies, like "Developing the Mindset", "Building the health IT infrastructure" and others. Read More at: http://healthitanalytics.com/news/five-core-competencies-for-the-healthcare-internet-of-things

Big Data and analytics have a huge role to play in the future of healthcare. Data will play a major role in deciding how healthcare companies, practitioners and technologies interact with their patients. Big Data ensures efficiency and accuracy in predicting treatments. Using data, doctors can make more accurate predictions based on the specifics of the patient rather than using a general rule for treatment. Major companies are venturing into healthcare by formulating pre-defined algorithms; making it easier to cure complex medical conditions. With the advent of Big Data in healthcare, people will have the opportunity to keep a track of their health; doctors will have a better idea of somebody’s health thus allowing them to provide health advices on the go. Read more at: http://channels.theinnovationenterprise.com/articles/big-data-has-a-huge-part-to-play-in-the-future-of-healthcare

Big data is set to change the healthcare landscape offering better patient care, minimized hospital re-admission, and reduced costs but every new tool has a learning curve and so does this one in the healthcare industry. Big data in healthcare is referred to as Electronic Health records (EHRs), though relatively easy to collect but volume does not mean insight, it is necessary to extract data relevant to the heart of the specific problem. Apart from the 3Vs in big data – Volume, Variety, velocity, healthcare analytics also has another V, Veracity i.e. truthfulness or credibility, since it involves life and death decisions. But it is still a goal and not reality since the quality of healthcare data is highly variable. Another challenge is that the methodology requires technology and professional expertise for predictive analysis to fully utilise the data mining results to improve patient care. Read more at: https://www.healthcatalyst.com/3-reasons-why-comparative-analytics-predictive-analytics-and-nlp-wont-solve-healthcares-problems/

The big data has penetrated into healthcare. But merely collecting the patient records and keeping them in the form of electronic health records (EHR) is not enough. It starts with using programming software languages like R to sort through the huge database. R is an open source programing software used for statistical computation and data mining. In this case, R can be used to interpret the EHR for different purposes like side effects associate with a particular drug among a typical set of patients with similar records and could also help identify what causes the side effect. R can be customized according to the needs of the patient and the physician and thus can be helpful in providing personalized healthcare .Also, since R is open source software, it involves no cost and a large amount of documentation is available to learn the language. Read more at:http://www.healthcareitnews.com/blog/radical-potential-open-source-programming-healthcare 

Each human is unique in his own ways. For treatments to be effective, it can't be based on what the averages are. "Biotech has progressed to the point where we're actually able to edit or code DNA …," said Andi Karaboutis, Executive VP of Biogen, who was detected with Greaves disease a decade ago and undergoing iodine ablation treatment. The doctors then did some stratification to the normal range to suit her body needs and within three weeks she was back to normal. "Internet of me", the combination of computing power and health research, can lead to treatments being personalized improving the healthcare benefits. Read more at: : http://www.informationweek.com/strategic-cio/executive-insights-and-innovation/the-internet-of-me-is-getting-real-in-healthcare/d/d-id/1320348?

In healthcare, conclusions drawn from predictive analytics can directly influence patient's health but unfortunately it's not used widely because of the vendor hype and sales exaggeration of sales. Nowadays, doctors are using predictive analytics in treating breast cancer also. They ask questions like: Of the last 10,000 Asian females, with a tumor like this, how were they treated, what was the outcome, what were the side-effects to ensure she gets the right kind of medicine. That is what we call a learning health care system. Using data and predictive analysis is the need of the hour to improve our health care delivery.?Read more at:  http://www.zdnet.com/article/harvard-medical-professor-big-data-and-analytics-help-cure-cancer/

Big data analytics is the joining of two or more sources of information, so that it can be comprehended from the comparison of the new, expanded data set. Success with healthcare big data analytics relies on vendors, team of experts, and people who understands health management. Collecting and leveraging patient-generated health data from IoT devices will be the key in health care analytics. To know more how IoT helps in healthcare big data analytics, read this interesting article by Jennifer Bresnick (author) at: http://healthitanalytics.com/news/why-healthcare-big-data-analytics-needs-the-internet-of-things 

Lots of experiments are going on in using predictive analytics in health care. But, only few succeed. The need is to learn from what has been done and work further.

Jennifer Bresnick, in her article on HealthITAnalytics.com, has summarized some of the ways healthcare organizations have already found success by turning big data into a strategic asset that can help providers react quickly and effectively to the ongoing challenges of quality care delivery. They are:

• Hospital quality and patient safety in the ICU
• Precision medicine, personalized care, and genomics
• Population health management, risk stratification and prevention
• Reducing preventable hospital readmissions

To know more, please visit the following link:

http://healthitanalytics.com/news/four-use-cases-for-healthcare-predictive-analytics-big-data

According to Stefan Groschupf (CEO of Datameer), big data analytics can prevent healthcare industry from fraud as technology is providing powerful means to catch and prevent perpetrators.  Data-analytics will help in securing patient privacy and mitigating prescription fraud.  According to 2014 analysis of Standard & Poor's 500-stock index companies, it was found that healthcare and pharmaceutical companies have worse security performances. Big data analytics can be used to combine, integrate, and analyze data at once regardless of source, type, size, or format and identify   patterns needed to address fraud and compliance-related challenges. Big data can help to combine multiple data sources, analyze data and quickly deliver insights, pharmacies, doctor offices, and hospitals can track abnormal activity to mitigate prescription drug abuse. Read more at: http://venturebeat.com/2015/03/31/big-data-analytics-can-prevent-health-care-fraud-heres-how/

Digital marketing has become a necessity in every industry. Healthcare marketing professionals hesitate to use digital channels is due to its fragmentation. Jonathan Catley (Sales & Marketing Manager), writes in his article link about the top digital platforms for healthcare marketing and different channels one can utilize. Read more at: http://www.socialmediatoday.com/marketing/2015-03-04/top-digital-platforms-your-healthcare-marketing

vRad (Virtual Radiologic) released its latest Radiology Patient Care Indices, which will be available for free and unrestricted use.  It is the U.S.A.'s largest telemedicine company and radiology practice. It enables hospitals, health systems and radiology departments to use normalized data for comparing their own usage of CT imaging in the Emergency Department with similar organizations across the U.S. However, using analytics to improve measuring, benchmarking and proving overall healthcare value is not simple. One must know what to measure, how to measure it, and what benchmark goals to opt and a sound knowledge of radiology analytics. Read more at: http://www.vision-systems.com/marketwired/2014/10/14/vrad-continues-empowering-radiology-with-access-to-big-data-analytics-and-insights.html

IMS Health, a leading international information and technology services company, provides clients in the healthcare industry with comprehensive solutions to measure and improve their performance by using anonymous healthcare data to deliver critical, real-world disease and treatment insights. Recently, it announced the immediate availability in the U.S. of IDN Impact - a solution to measure, compare and prioritize the influence of Integrated Delivery Networks (IDNs) on life sciences brands. Combining a unique data set of IDN influence metrics with business intelligence software and local market analysis, IDN Impact enables life sciences organizations to effectively shape and execute their commercial engagement actions. Read more at: http://www.imshealth.com/portal/site/imshealth/menuitem.c76283e8bf81e98f53c753c71ad8c22a/?vgnextoid=3edfb0cfe6228410VgnVCM10000076192ca2RCRD&vgnextchannel=5ec1e590cb4dc310VgnVCM100000a48d2ca2RCRD&vgnextfmt=default

Many healthcare executives consider that, due to the insightful nature of remedial care, patients don’t desire to apply digital services apart from  a few exact circumstances; conclusion makers frequently quote data that indicate to reasonably small use of digital healthcare services. The consequences of their survey disclose something quite unlike. The cause patients are reluctant to accept digital healthcare is primarily since accessible services don’t meet their wants or because they are of deprived quality. All the countries in the survey, more than 75 percent of like to use digital healthcare services, till those services meet their requirements and supply the level of superiority they anticipate . Of course, no digital channels will keep on to be significant and essential, so digital channels will have to be fixed through multichannel idea. Read more at: 

http://www.mckinsey.com/insights/health_systems_and_services/healthcares_digital_future

Healthcare is altering rapidly and so is the industry's need for analytics and business intelligence. Sometimes business intelligence refers to a large group of analytics, data warehousing and revelation tools. Sometimes, business intelligence tools are associated to the visualization coating only - tools that take the data and gives a visual illustration of it. The core of data warehousing is a dimension to assist the understanding, approaching and exploiting data in terms of BI. In general, a data warehouse is a centrally managed and easily available copy of data gathered from the transactional information systems of a health system. Such research and analysis enable measurement, which helps in accepting and the most informed business and clinical decisions. Sources can be internal , such as electronics health records (EHR) systems, patient happiness systems, prices or financial systems; or exterior, such as systems linked with a state or central administration . Read more at:

http://www.healthcatalyst.com/healthcare-business-intelligence-data-warehouse

Healthcare industry has changed a lot from what it was five years ago. Thanks to influx of technology, policy reforms and care model innovations. Patients, today, are better informed by instant access to health information sources. According to a recent study by Intel, patients today are ready to see technology play a greater role in their care. Technologies like ingestible monitors can collect valuable health data and also the providers are eagerly using mobile devices and telemedicine tools to better care for their patients which in turn helps to increase operational and administrative efficiencies. Health systems are also dependent on big data to improve and better manage population health. Physician and hospital use of health IT has already more than doubled in 2013, and 2014 is going to see another exponential innovation. Cutting costs and broadening access to quality of care and also emphasizing on patient's experience, providers are refining ways to better serve their patients. Apart from such innovations, use of sensor technology, relying more on big data will increase. Health systems will become more transparent. Read more at:http://www.informationweek.com/healthcare/leadership/healthcare-in-2014-innovate-or-be-left-behind/d/d-id/1204285

It is found that big data and healthcare analytics help patients to stick to their treatment plans following doctor's orders. According to a New England Journal of medicine report, despite having treatable ailments, about 125,000 people die in United States every year just because they don't take their medication properly advised by the doctors. According to a doctor, to overcome the problems, they needed to identify the gaps in scores and ratings which includes Healthcare Effectiveness Data and Information set (HEDIS), Consumer Assessment of Health Providers and Systems (CAHPS) etc. As non-compliance hurts healthcare provider's goal of improving care and reducing costs, many organizations are handling the matter by growing their insights built from big data and analytics to deploy human resources like managers and social workers in better ways. Medicare, Medicaid, dual-eligible, and commercial plan members on care management strategies incorporate technologies such as big data, analytics and integration to improve health outcomes, enhance satisfaction and compliance, also increases income and lower cost. For populations who often have chronic conditions and don't want to comply with doctor's orders because of homelessness, financial instability, joblessness and emotional issues, one can use big data to solve the problem in a logistic-driven way to help those patients comply on their care plan. Read more at: http://www.informationweek.com/healthcare/analytics/analytics-help-patients-follow-doctors-orders/d/d-id/1278717

The healthcare industry historically has generated large amounts of data, driven by record keeping, compliance & regulatory requirements, and patient care. While most data is stored in hard copy form, the current trend is toward rapid digitization of these large amounts of data. Driven by mandatory requirements and the potential to improve the quality of healthcare delivery meanwhile reducing the costs, these big data hold the promise of supporting a wide range of medical and healthcare functions, including among others clinical decision support, disease surveillance, and population health management. Big data in healthcare refers to electronic health data sets so large and complex that they are difficult to manage with traditional software or hardware; nor can they be easily managed with traditional or common data management tools and methods. Big data in healthcare is overwhelming not only because of its volume but also because of the diversity of data types and the speed at which it must be managed. The totality of data related to patient healthcare and well-being make up “big data” in the healthcare industry. To read more about the advancement of big data in Healthcare visit: http://www.mckinsey.com/insights/health_systems_and_services/the_big-data_revolution_in_us_health_care.