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Big data within the medical industry will be close to to get even bigger as a result of the move toward electronic medical reports. Electronic medical records are getting a boost as a result of the implementation of the Affordable Care Act. So, medical researchers can expect a huge influx of healthcare data to analyze.

The scientific community is abuzz about the possibility of big data within the medical research arena. Based on Science 2.0, a science blog, several of the clearest opportunities recently identified inside this area revolve around reducing costs in several key areas:

High-cost patients - Did you know that just five percent of patients account for roughly half of all US healthcare costs? By targeting these high-cost patients, big data has the potential to make a big effect on total healthcare spending in the country. This is an excellent example of the Pareto principle on the job.

Readmissions - With nearly one third of readmissions deemed to be preventable, using big data to predict which patients are at a high risk of readmission could lead to better interventions and reduced re-admissions.

Triage - Big data could be used to enhance the triage process by applying algorithms to send patients to the correct unit for care and ensuring that everybody involved in providing that care is promptly informed through the process.

Decompensation - Decompensation refers to a patient's worsening health condition. Patient monitoring tools for example pulse rate and blood pressure level monitors are used to measure a patient's current condition. Using big data, researchers could possibly be better able to determine the risk of decompensation, great scientist allowing healthcare providers to intervene prior to the patient's condition worsens.

Adverse events - No one wants to have problems with an adverse health event for example infection, a drug reaction, or renal failure. These events often end in death, yet tend to be preventable. Big data could make huge gains in both preventing adverse events and slashing their associated costs.

Diseases affecting multiple organ systems - Systemic diseases that affect multiple organ systems are among-the costliest to treat and manage. Using big data, medical researchers could possibly be better able to predict the likely progression of a disease which, sequentially, would help healthcare providers develop a more effective, as well as more cost-effective, treatment plan.

While these areas all represent significant opportunities for medical researchers and also the health care industry at large, how can researchers possibly make experience of all that data? In accordance with Dolphin, "Big Data relates to the very fact that today's business intelligence systems are experiencing record levels of data growth from terabytes to petabytes and beyond. The challenge is in maximizing the opportunity for real-time business intelligence while minimizing the impact of exploding data volume on productivity and total cost of ownership (TCO)."

This is done over the utilization of business intelligence and data archiving software. With the proper tools in hand, medical researchers possess the capability to make sense of the sheer volumes of healthcare data from the past, present, and future.