How to Big Data improve HealthCare Industry in 2017
Big Data will transform access in health care which have long defined the industry. We will no longer pool data from individuals to predict what occurs at the population level. Instead, population data will be so comprehensive that it will exactly predict what occurs to an individual patient.
Health care has long concentrated on the individual. Only in the last 200 years have researchers started to pool patients into groups in order to look into the health of populations. Big Data provides health care with the chance for a paradigm shift. There will now be enough good data to look at whole populations to extrapolate what will happen to a patient.
1. Genomics: From the laboratory to the Clinic
In the coming future, almost every patient will have their genomes analyzed. Via the expanding use of prenatal genetic screening, many patients are already partially sequenced before birth. Harnessing genetic data is a chance which healthcare vendors ought not to miss due to its potential for future research. Whereas some enterprises outsource, hospital system named Providence Health and Services recently cooperated with the health information company named NantHealth to provide sequencing to each of its 22000 patients who were diagnosed with cancer per year. Analysis of genetic data is getting more and more complicated that scientists can have most instantaneous results to indicate which markers are increasing and decreasing in expression, providing a real time profile of a patient's physiological changes depended on such external factors as infection or stress.
2. How to turn promising data into something helpful
Healthcare may be one of the most data-intensive industries nowadays. Basically, there are four major sources that generate all this health care data. They are medical care providers, public and private payers, ancillary service vendors from pharmacies to laboratories and healthcare consumers. The challenge is not just in storage and approach, yet in making this data useful.
One physician or healthcare team would not be equipped to look at the results of a thousand markers and make insightful inferences. That level of analysis can only be conducted by using a computer program. Implementation of these systems does not have a reasonable price. Hadoop, which many healthcare companies base on to support their Big Data efforts, is an open-source software platform that is created to deal with large datasets. Critical for information security as well as access, the software is housed across a global computing framework and is designated to work with many collaborative usersSource: tipshealthylifes