Information technology and big data has the capacity to reform medicine. Artificial intelligence is capable of filling the data gaps that humans cannot collect and process. When it comes to big data in healthcare, transferring data’s into useful information’s can reduce cost, improve patient’s health and provide employee satisfaction. On the other hand even a little confusion in big data analytics can lead to pitfalls and that is why big data is considered both a blessing and a curse to the healthcare sector.
Big data enables doctors and healthcare professionals to gain more information about individual patients which will help in diagnosing patients with unique solutions instead of providing general care. This in turn can build a healthy doctor-patient relationship. Medication errors are always a serious issue as consuming wrong medicines could be fatal and healthcare organizations are using big data to address this issue.
Big data analytics can detect medical fraud and identity theft. Transparency in data analysis, storage and collection is of paramount importance. Many hospitals are sharing their data policies on their websites for the customers to easily access. Proper data integration can drastically reduce the healthcare expense. According to a report by McKinsey, Creative use of big data by the U.S healthcare providers to drive quality and productivity can generate more than $300 billion value in the public sector