Big Data Analytics has enormous potential to influence healthcare industry positively by meliorating the quality of care, reducing costs and avoiding preventable deaths.
Big Data is still in its early stage and is already changing the course of business sector all across the globe.
Big Data Analytics has enormous potential to influence healthcare industry positively by meliorating the quality of care, reducing costs and avoiding preventable deaths. On a fundamental level, implementing Big Data in an organization makes it more productive, efficient and cost-friendly.
Understanding Big Data
Big Data can be described as a set of electronic data so complex and large in volume that it is very difficult to manage it using traditional software or hardware. It can neither be easily managed with basic data management tools.
The Indian healthcare industry has already started using Hospital Information Systems (HIS) and Electronic Health Records (EHR) to make their organization more profitable and productive. The industry is engaged in producing zettabytes of data every day by capturing exuberant amount of patient care records, diagnostic tests, prescriptions, insurance claims, monitoring vital signs, and most importantly the medical research information. The growth of these records will be explosive in the coming couple of years, which makes Big Data intervention in the healthcare industry utterly crucial.
Big Data Analytics in healthcare segment amalgamates clinical innovation and technology. This promising technology supports an array of healthcare functions to improve services and handle problems of the healthcare sector. It has introduced new ways for organizations to formulate actionable insights, boost up outcomes, reduce time to value and organize their future vision. The evaluated results can be very fruitful to enhance decision making capacity of the management.
Big Data Analytics in healthcare can significantly lift the bar of the following healthcare segments:
Data analytics allows you to record disease outbreaks and analyse disease patterns thereby improving public health issues. Researching large amount of data helps to determine needs, predict and prevent future crisis and offer required services.
EMR or Electronic Medical Record
An EMR contains standard medical data either structured or unstructured that can be evaluated using data analytics approach to predict risks posing patients and provide them effective care.
Big Data Analytics is a very strong tool that helps to monitor records and analyse claim requests to curtail down fraud cases. An effective analysis can effectively curb a large number of fraud cases, wastes and abuses.
Big Data Analytics can be used to analyse large amount of data produced by the hospitals in real-time. This can help healthcare organizations in safety monitoring and help predict negative events that may occur.
Role of Big Data in Pharmacy
Pharmacy sector is always overwhelmed with data complexity. Data analytics can help pharmacy sector align manufacturer’s data requirements with its business needs, pharmacy capabilities,and therapy category.
Making use of Big Data in this sector help you get efficient data quality management and better business utilization. With increasing supply of information, data analytics should take the key role in any speciality pharmacy and other healthcare wings. Tying analytics with this sector allows reporting on demand. Manufacturers, providers, and payers can use this data to improve their understanding of obstacles and gaze opportunities to improve healthcare.
Big Data Analytics helps you get a complete insight of an industry by the help of the information collected. This information can guide the whole industry to response better to the consumers and make meaningful future predictions. This encourages the industry to deduce a systematic approach towards any current or future crisis or need.