The pioneers of Big Data Architects

The pioneers of Big Data Architects

Many industries are driving the wave of big data as the new era of data-driven decision making is unveiling. The scope of big data analytics is gaining fast traction in industry, academia and the government; the healthcare field is no different.

Healthcare analytics has the potential to reduce costs of treatment, predict outbreaks of epidemics, avoid preventable diseases and improve the quality of life in general. Average human lifespan is increasing together with the world population which poses new challenges to today’s treatment delivery methods. Healthcare professionals, just like business entrepreneurs, are capable of collecting massive amounts of data and look for best strategies to use these numbers. Even if healthcare services are not your cup of tea, you are a potential patient, and just like everyone of us you should care about new healthcare analytics applications. Besides, it’s good to take a look around sometimes and see how other industries cope with Big Data.

The solution

One of the biggest obstacles that stands in the way to the data-driven healthcare is how medical data is spread across many sources governed by different states, hospitals and administrative departments. Integration of these data would require developing a new infrastructure where all data providers collaborate with each other. Equally important is implementing new data analysis tools and strategies. Healthcare needs to catch up with other industries that have already moved from standard regression-based methods to more future-oriented like predictive analytics, machine learning and graph analytics. However, there are some glorious instances where healthcare doesn’t lag behind.
Browse through, as how our Big Data architects play with your data:

•    Convert to digital data.

Convert all medical info such as history of treatment, Medicine history , Medical test results etc into Digital format to secure and handle the data effectively.

•    Real-time data.

Consistent interaction with doctors and hospital will avoid the possibility of sudden chaotic health situation. It enhances the treatment facility for the patient.

•    Data predictability.

Predict health condition of a patient to improve the treatment. It helps doctors to make intelligent decisions on the serious health situation of patients.

•    Digital Diagnosis.

Digital channels to initiate consultation and initial diagnosis. This can keep the patients away from the hospital and utilize the services effectively.

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