The business of saving lives is the only biggest business than any other businesses. There hasn’t been a more relevant time for businesses in healthcare to think out of the box to find answers to pressing problems. In 2012, Centers for Disease Control and Prevention reported, around half of all adults (nearly 117 million people) globally, had chronic diseases and conditions like heart disease, cancer, stroke, type 2 diabetes, arthritis and obesity. The need is to prioritize prevention as much as finding cures for diseases as this is the only method to verify their rampant spread.
In a short span of 10 years, there has been an extreme generation of data and the use of technology to analyze the same has given birth to a new industry, Big Data. Through effective use of Big Data; healthcare industry analysis have found newer methods of decreasing many preventable deaths, curing disease and improving quality of life, while cutting their business overheads and rising productivity. Treatment modalities have changed and that has a lot to do with the way healthcare experts are using Big Data to make knowledgeable decisions about patient care. At present, the impetus is on understanding patient information quicker and better to estimate the onset of sickness and to stall them in the early stages.
Begin at the very starting:
One of the most physical methods data has changed healthcare is in the method used to collect it. Electronic Health Records (EHR) is now a reality across most hospitals in the U.S. By 2020, centralized EHRs is likely to come into being. European Health Record System have eradicated the need for paperwork, diminished data duplicity, and also allowed for better treatment tracking. At present, the novelty of EHRs has worn off as technology has gotten way more avant-grade, as per a market research.
Telemedicine has been around for no less than 4 decades however mobile technology market has changed the face of it with wireless devices and video conference tools. Distant yet personalized treatment has been made very likely and this has considerably cut costs in healthcare. Money of the patient’s is saved on repeat visits to hospitals, and saves on valuable time of physicians as distant treatment has made some facets of medical treatment location skeptic. Some smart wearables have also made their way into everyday life and it isn’t uncommon for friends and peers to switch over personal data, which is collected via these devices. Industry professionals estimate that there will soon come a time when physicians rely on Big Data as step one in charting treatment plans.
The very fact that few companies are searching to collect and study an insubstantial variable like stress is a testament to difference Big Data can make. The adoption of preventive study as opposed to conventional statistical study is a clear sign of things to come. Prediction modeling, the basis of preventive analysis, makes an estimation algorithm or profile of a person utilizing techniques like artificial intelligence to analyze data. This can be better individual outcomes, enhance the accuracy of predictive study, and guide to pharmaceuticals creating more effective medicines.
The common thread, which runs through the applications of Big Data, is the ability to offer real-time analysis of data. When it comes to making a decision on health, time is absolutely of essence and further use of Big Data will help professionals and patients take quick calls without compromising on correctness.
No comments:
Post a Comment