Technical progress in data science and mass data has also revolutionized healthcare. Since the amount of data generated in medical care every minute is very high, large-scale data applications and data science technology are of great importance nowadays.
Previously, medical records were stored as paper copies and practicing this exercise became more difficult because the amount of dynamically stored information was increased every second. Therefore, the need for a device has been created that can be used to collect, classify, store and interpret large amounts of data.
Different types of data made in a clinic or hospital can be divided into three.
These are medical notes made by recipes, nurses, pharmacists, doctors, as well as laboratory reports, medical photos, insurance departments and pharmacies.
This includes all patient files that are stored electronically.
These are data generated by the device and are derived from monitors, website traffic, publications on social networks, emergency care data and articles from medical journals and news sources.
The ability to electronically keep track of these medical data has revolutionized medical care. All aspects of clinical decision making, as well as patient care, availability of structured data can be significantly improved and can be easily monitored.
Application in health
EPD or EMR is a single file that can contain all updated clinical data, patient data and sensor data for each individual patient accessible from any network.
Treatment of cancer
Using data science techniques, predictive analysis can be done so that existing patterns and conditions can be used to estimate a person’s ability to come into contact with cancer.
Patients are usually admitted with intensive care units and equipment in the first aid departments, which have sensors to monitor blood pressure, respiratory rate and heart rate. Although it is impossible for people to observe it continuously, but for small changes in style, machines can also be programmed to respond.