Data analytics encompasses the clinical technology and innovation in the healthcare industry. As the healthcare industry is producing a huge amount of data constantly in various forms, it is nearly impossible to handle this data over hard or soft copy formats. The latest trend favors digitization of this huge amount of data. Driven by essential needs, the present generation favors data analytics. This favorable tactic supports a large range of healthcare activities to enhance services and handles issues in the healthcare industry. The big data platform is able to process petabytes and terabytes of data, as an outcome of which, data analysis becomes simpler.
Big data has given a new way to the healthcare concerns to grow actionable insights, systematize their future vision, improve the results, and eliminate time to value. This way is also helpful to give acute information to the healthcare organisations about their planning, management, and the measurements. The estimated results can again help improve the decision-making ability of the top management.
Big data analytics in the healthcare industry can be utilized for improving the standards in following fields:
- EMR (Electronic Medical Record):
An EMR consists of the standard medical data (structured or unstructured) which can be analyzed with the data analytic approach for predicting patients at different levels of risk and give them efficient care. - Public health:
Public health problems can be improved with the analytic way by analyzing disease patterns and recording disease outbreaks. Understanding and analysis of available public health data can decide requirements, give necessary services, and predict as well as prevent the future issues to provide better healthcare services to the people. - Genomic analytics:
The data analytic approach can be efficiently added to genomic analytics for making this approach a part of the daily medical care decision procedure. - Patient profile analytics:
Advanced analytics is applicable to the patients’ profiles for recognizing individuals who could advantage from a proactive approach. This could proactively suggest lifestyle changes based on family history and individual medical history. - Safety monitoring:
Big data analytics can additionally be utilized for analyzing real-time big amounts of data in hospitals. Analyzing and monitoring of data (Patient Records) may be helpful in diagnostics . - Fraud analysis:
This approach of healthcare analytics helps analyse a higher number of claim requests for fraudulent cases. An efficient analytic system can not only help eliminate abuse, waste, and fraud but also develop early warning system to highlight a set of high probable cases leading to fraud.
So, big data in the healthcare industry has the capacity of changing the ways healthcare concerns provide with their advanced clinical facilities. Healthcare Analytics is being used to enhance the care, secure the life of the patient, and reduce the expense of health facility charges.