Technological advances in data science and Big Data have led to a revolution, even in the healthcare field. As the amount of data generated every moment in the healthcare field is huge, big data applications as well as data science technologies are very relevant today.
In the past, care records that were previously stored as hard copies whose practices have become increasingly difficult to maintain as the amount of information to be stored is increasing dynamically every moment. Therefore, the need arose for a tool that can serve to collect, sort, store and interpret huge amounts of data.
The different types of data created in a clinic or hospital can be classified into three.
These are prescriptions, medical notes by nurses, pharmacists and doctors and reports from the laboratory, medical imaging, insurance departments and pharmacy.
This includes all patient records that are stored electronically.
This is the machine-generated data that comes from screens, website traffic, social media posts, emergency data, medical journal articles, and news feeds.
The ability to electronically keep these health records has literally revolutionized the health field. All aspects of clinical decision making as well as patient care can be greatly improved by the availability of structured, easily traceable data.
Applications in Health Care
A Comprehensive Electronic Health Protocol (EHR) or Electronic Medical Record (EMR) is a single file that can contain all the up-to-date clinical data, patient data as well as sensor data for each patient, which can also be accessed across any network.
The anti-cancer treatment
Predictable analysis can be performed using data-knowledge technologies so that habits and pre-existing conditions can be used to predict the individual’s vulnerability to cancer.
Patients in intensive care units and emergency rooms are usually connected to devices that have sensors that continuously monitor their blood pressure, respiratory rate and heartbeat. While it is impossible for humans to keep consistent control of this, machines can be programmed to respond to even a slight change in pattern.
Data knowledge technologies and big data applications help to provide seamless flow in administrative processes. Healthcare providers have access to data from various sources, which makes it easier to plan and manage resources in the event of major epidemic outbreaks or even natural accidents.
Promoting business development
In the case of hospitals that are part of medical tourism and business groups, computer science helps to shape business plans to improve business. Smart solutions help improve the profitability of hospitals for management and staff, indirectly improving the quality of patient care as well as customer satisfaction.
Fraud prevention and detection
Computer science helps prevent pretty much a wide range of human error that can happen at various stages of healthcare. Furthermore, fraudulent insurance claims can be prevented.