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BRAAS - Bio Registry And Analytic Software

Healthcare industry is on the cusp of a digital revolution. From your local medical clinic to large pharmaceutical companies, organizations across the industry are investing substantially on digital technologies to improve processes, cut costs, speed up research and enhance productivity. It is then imperative you have a cutting-edge IT solution provider that can understand your exact needs and come up with solutions to take on the competition.

Database and Big Data 

The digitization of the healthcare industry is happening fast. A major result of this transformation from paper to electronic records is the proliferation of health care data and with that, of course, comes the healthcare database.

Big data is an emerging field with the potential to revolutionize the healthcare industry. Using it for medicinal purpose will help in making specialized and personalized drugs to cure the disease from root. Personalized drugs are specially designed for a patient. Thousands of researchers are working day and night in this field to get most out of the data we generate, related to our health.

Most importantly, by gathering and processing the gigantic volumes of health-related data that is generated every minute, doctors and health officials could help save lives. They could prevent disease outbreaks, make better diagnoses and predict the onset of infections much before it becomes clinically apparent.

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Health analytics is an umbrella term which includes offering insights about patient records, cost, diagnosis, pharmaceutics and medical research data, among others. These insights are often given in real-time and help organisations take appropriate actions in healthcare, research and market. It will help reduce operational costs, making healthcare more affordable for the masses.

Healthcare data analytics using data-driven findings to predict and solve a problem before it is too late, but also assess methods and treatments faster, keep better track of inventory, involve patients more in their own health and empower them with the tools to do so.

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Machine Learning & AI

Machine Learning is developing rapidly in the healthcare sector, because of the approach of wearable gadgets that can utilize data to evaluate a patient's wellbeing progressively. The technology can likewise enable the medical practitioner to dissect data to recognize pattern or warning that may prompt enhanced diagnosis and medication. As a matter of fact, in a pure Machine Learning process, the more data we indulge into the system, the more it can learn from it, returning all of the evidence we were looking for, and hence it works so well with big data.

Artificial intelligence (AI) in healthcare is the use of complex algorithms and software to emulate human cognition in the analysis of complicated medical data. The primary aim of health-related AI applications is to analyze relationships between prevention or treatment techniques and patient outcomes.

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