Use of Predictive Analytics Expands to Improve and Personalize Patient Care
FREMONT, CA: The ever growing data and widespread availability of data analysis tools has catalyzed the growing usage of predictive analytics (PA) in healthcare that enables best decisions to be made, allowing for care to be personalized for each individual. For instance, to make productive use of the Big Data pertaining to healthcare, Doctor Evidence, a clinical health research data provider, partners with IBM to contribute its valuable clinical cancer research content to IBM Watson’s oncology solutions and developer ecosystem.
Data provided by Doctor Evidence will also enhance Watson ecosystem partners’ ability to build oncology related apps. Members of the Watson Ecosystem are bringing a variety of apps to market designed to address issues across the healthcare spectrum, from personal health management, to genomic-based health advice, to dermatology and multiple sclerosis. The organization will contribute 2 million additional data points including thousands of clinical papers, conference proceedings, abstracts on remissions, patient survival cases, epidemiology, and drug label data which will be added to Watson’s existing corpus of health data.
In medicine, predictive analytics uses technology and statistical methods to search through massive amounts of data, analyzing it to predict outcomes for individual patients. The information comprises data from past treatment records to the latest medical research. The accurate diagnosis of diseases through the use PA creates ground for early intervention that can help in preventing many diseases before it becomes serious. The purpose of bringing predictive analytics to medicine is to improving patient care, chronic disease management, hospital administration and supply chain efficiencies.
Information technology is playing a key role in making the implementation of predictive analytics in the healthcare sector a successful one through the introduction of various health apps and programs that helps in anticipating patient problems before they happen, reports John Andrews for Healthcare IT News . The driving force of predictive technology has been the advancements made with smart phones and wearable devices that serve as the most powerful sensor in healthcare. Nowadays, people can manage their own health and wellness, promote healthy living, and gain access to useful information when and where they need it through the use of medical apps.
Technological evolution has resulted in the use artificial intelligence devices for logistics, surveillance and security purposes in healthcare. Looking into the present scenario, the increasing use of robots in various sectors fuels the thought that robots might take over routine jobs such as cleaning, providing companionship and remote monitoring capabilities in the healthcare sector. The creative implementation of AI and predictive technology will not only help patients but be more cost effective for healthcare organizations.
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