Use Cases of Big Data & Data Analytics in Healthcare
Diagnostics
Real-Time Monitoring of Patient Vitals
Population Health
Preventive Care
Telemedicine
Imaging
Electronic Health Records
Security
Hospital management
Strategic Planning & Smart Decision-Making
Key Challenges of Big Data & Big Data Analytics in Healthcare
Data integration & Storage
Common storage integration is the most frequently used approach to storage within data integration.
Data Standardization
Data standardization is a data processing workflow that converts the structure of different datasets into one common format of data.
Data Quality
Data quality is a measure of the condition of data based on factors such as accuracy, completeness, consistency, reliability and whether it's up to date.
Data Mining
Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis.
Data sharing
Data sharing is the way to optimize higher-relevant data, generating more robust data and analytics to solve business challenges and meet enterprise goals
Data Visualization
Data visualization is the representation of data through use of common graphics, such as charts, plots, infographics, and even animations.
Scalability
Scalability is the measure of a system’s ability to increase or decrease in performance and cost in response to changes in application and system processing demands.
Security & Privacy of Data
Security is about protecting data from malicious threats, whereas privacy is about using data responsibly.
Integrating Legacy Systems With the Big Data Ecosystem
A legacy system is an obsolete computing software and/or hardware that is still being used. The system still fulfills the requirements it was originally intended for, however, it doesn’t allow for expansion.