Remote Patient Monitoring (RPM) is a healthcare delivery model that utilizes technology to monitor patients’ health conditions from a distance. This approach enables healthcare providers to track vital signs, symptoms, and medication adherence, often in real-time. RPM systems typically involve wearable devices, sensors, and mobile applications that collect data and transmit it to healthcare professionals for analysis and intervention.
Data cleaning is the process of finding and fixing mistakes or inconsistencies in data to make sure it is correct, consistent and usable. The goal is to improve the quality of the data so it can be used reliably for analysis and decision-making.
It transforms messy data into a valuable asset, enabling businesses to make informed decisions, gain competitive advantages and drive innovation.
Investing in data cleaning helps organizations avoid biased insights, improve productivity and efficiency, meet compliance and reporting needs, leading to overall cost savings.
Data visualization means showing information using pictures, like charts, graphs, and animations. These pictures make it easier to understand complicated data and see important patterns and trends.
A picture is worth a thousand words. It is a better communication method. It is used to see data in context. It immediately attracts attention thus helping to tell a story.
Big data is defined as data that imposes technological challenges such as cloud databases, parallel data processing, and simple scalability of the system. Big data is characterized by descriptive qualities such as the data’s nature and statistical accuracy.
Statista estimates that by the end of 2025, the volume of healthcare data collected would have reached a staggering 2,323 exabytes.