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[9:00 pm, 28/05/2024] Omar Hirbawi Uop: The use of big data analytics in healthcare research could revolutionize the field by improving diagnosis, developing treatments, and improving overall healthcare.Public health surveillance and epidemic forecasting: Big data analytics can help monitor public health trends and predict the spread of epidemics.Some of the ways in which big data analytics are being used in this field are summarized below:

Improving diagnosis and prediction of diseases: Big data analytics relies on analyzing huge amounts of medical data such as patient records, medical imaging, and laboratory test results.In short, big data analytics offers powerful tools to improve healthcare by providing accurate and comprehensive insights that help in making data-driven decisions, ultimately improving the health and quality of life of individuals.Example of a practical application: In the COVID-19 pandemic, big data analytics have played a vital role in tracking the spread of the virus, identifying hotspots, and evaluating the effectiveness of health interventions.These analyzes can help detect patterns invisible to the human eye, helping to improve diagnostic accuracy and predict diseases before symptoms appear.This helps improve the effectiveness of treatment and reduce side effects.

[9:00 pm, 28/05/2024] Omar Hirbawi Uop: The use of big data analytics in healthcare research could revolutionize the field by improving diagnosis, developing treatments, and improving overall healthcare. Some of the ways in which big data analytics are being used in this field are summarized below:

Improving diagnosis and prediction of diseases:
Big data analytics relies on analyzing huge amounts of medical data such as patient records, medical imaging, and laboratory test results. These analyzes can help detect patterns invisible to the human eye, helping to improve diagnostic accuracy and predict diseases before symptoms appear.

Customize treatments:
Big data enables doctors to develop personalized treatment plans for each patient based on analysis of genetic data, medical history, and lifestyle. This helps improve the effectiveness of treatment and reduce side effects.

Clinical research and drug development:
Big data analytics is used to analyze clinical trial results faster and more accurately. This helps speed up the development process of new drugs and ensure their safety and effectiveness.

Improving hospital management:
Big data can be used to analyze patient flows, resource utilization, and financial performance of hospitals. This helps in improving operations management, reducing costs and improving the quality of healthcare provided.

Public health surveillance and epidemic forecasting:
Big data analytics can help monitor public health trends and predict the spread of epidemics. Data can be used from multiple sources such as social media sites, hospital data,
Public health reports for early detection of disease outbreaks and taking preventive measures.

Analyzing data from wearable devices:
Big data is used to analyze information collected from wearable devices such as smart watches and physical activity meters. These analyzes help in continuously monitoring the health status of users and providing personalized health recommendations.

Example of a practical application:
In the COVID-19 pandemic, big data analytics have played a vital role in tracking the spread of the virus, identifying hotspots, and evaluating the effectiveness of health interventions. Health authorities used data from various sources such as hospital reports, test resul, and mobile phone data to understand the patterns of spread of the virus and make timely decisions.

In short, big data analytics offers powerful tools to improve healthcare by providing accurate and comprehensive insights that help in making data-driven decisions, ultimately improving the health and quality of life of individuals.