Big Data is an integral part of the health care industry. Nowadays computers and mobile devices are all part of the big data system, and the increasing usage of these devices only means more data to use. Big data is the storehouse of a large amount of data, and it’s often misused in business sense. Big data can improve the overall well-being of patients in many ways, such as help health providers in their research and discover to find new approaches for the treatment of diseases in patient populations.
The use of data also empowers health care providers to deal with patients in a better way. It helps provide research and clinical data to save time, money and improve patient care and disease outcomes. Data is collected from various sources and can be made available on mobile devices. Healthcare professionals can access the data from their mobile devices at the point of care with patients. Increasingly big data is playing a major role in improving patient health.
Large amounts of data are captured and stored by health care organizations for many decades. These old data are mostly stored in old data systems which are difficult to operate. The solution to this problem is a systemized approach to reloading this data. Old databases can be transferred into a new data warehouse that can integrate, analyze and retrieve the data for faster reporting.
Predictive analytics is the big data appeal to health care organizations. Predictive analytics is a technology through which healthcare providers can learn from the big data to improve the behavior and health of patient populations. Healthcare big data is totally patient-centric and can collect huge amounts of information about patients sorted in ways that provide new insights. Big data, with the help of predictive analytics can geographically identify where flu outbreaks have been identified or track trends and patterns for chronic diseases. This data is valuable to researchers because it is very patient-centric.
The health care industry wants to improve patient care, reduce costs and manage its resources in an efficient manner. Health care is always under pressure due to an aging patient population, the rise in the number of chronic diseases and pressure to expand the utilization of primary care providers. The health care industry is focusing more and more on big data so that they can proactively analyze patient and population disease cohorts in a systemic manner.
More effective use of data helps health care institutions address many new challenges.. EHRs (Electronic Healthcare Records) are collecting and managing digital data in a systemic manner that is best suited for data capture and analytics. Structured electronic healthcare records (EHR), fragmented clinical notes and public data are all sources of big data including genetic data, epidemiological data and medical imaging. It is important to deal with this data in a proper way. This includes privacy and regulatory issues.
There are no scarcity of big data in today’s world. The health care industry and the health care providers have access to huge amounts of data. The challenge is to analyze data effectively so that actionable improvements can be made in patient care and reduce cost. . Numerous healthcare sectors are mining data every year to recognize and improve clinical effectiveness and patient outcomes.
Data progress is being made although the healthcare industry is lagging behind other sectors. Clearly big data has an enormous potential.