Future of Big Data Analytics in healthcare
- Genomic Analytics: By examining enormous volumes of genetic data, hospitals will be able to provide even more individualized care by customizing medications to each patient’s specific genetic composition.
- AI Integration: Strong AI algorithms with big data analytics could lead to advances in natural language processing, picture recognition and predictive modeling among other fields. This will further customize treatment , and change diagnostics.
- Blockchain Technology: This technology provides a decentralized, safe method of exchanging and storing medical data. By facilitating safe data interchange and producing tamper-proof records, it can enhance data security, integrity , and interoperability.
- Real-time Data Analytics: Real-time data analytics will gain prominence as Internet of Things (IoT) devices and edge computing grow in popularity. In the event that speedier intervention is required this enables healthcare personnel to monitor patient health parameters in realtime.
- Monitoring of Public Health: Better public health monitoring can be enabled by real-time analysis of healthcare data. Rapid detection, and containment of disease epidemics are facilitated by this.
Role of Big Data Analytics in Healthcare
Big data analytics in healthcare involves analyzing large data to uncover some hidden patterns and unknown correlations, market trends, customer preferences, and other useful information. In healthcare, Big data analytics is the process of looking through the vast and diverse quantities of data, or big data that find patterns that may be hidden, connections that may not be recognized, patient preferences, and other relevant information that may assist businesses in making better business decisions.
Big Data Anaytics in Healthcare
In this article, we will look into How Big Data analytics is being used in healthcare, Big data examples in Healthcare, Importance and Challenges in Healthcare.
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