Cellular Therapy Useful Information 4

Big data in the health care industry is about to get even bigger because of the move toward electronic medical records. Electronic medical records are receiving a boost as a result of the implementation of the Affordable Care Act. As such, medical researchers may anticipate an enormous influx of healthcare data to analyze.

The scientific community is abuzz about the prospect of big data within the medical research arena. In accordance with Science 2.0, a science blog, some 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 possibility to make a big influence on total healthcare spending in the nation. This is the best 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 also be used to enhance the triage process by applying algorithms to send patients to the correct unit for care and ensuring that everybody involved with providing that care is promptly informed throughout the process.

Decompensation - Decompensation refers to a patient's worsening health condition. Patient monitoring tools for example heart-rate and blood pressure level monitors are used to measure a patient's current condition. Using big data, researchers might be better able to determine the risk of decompensation, allowing healthcare providers to intervene prior to click through the up coming document patient's condition worsens.

Adverse events - No one desires to experience an adverse health event such as infection, a drug reaction, or renal failure. These events often end in death, yet are often 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 may be better able to predict the likely progression of a disease which, in return, would help healthcare providers develop a more effective, and even more cost-effective, treatment plan.

While these areas all represent significant opportunities for medical researchers and also the medical sector at large, how can researchers possibly make experience of all that data? As outlined by 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 usage of business intelligence and data archiving software. With the correct tools in hand, medical researchers possess the capability to make sense of the sheer volumes of healthcare data from the past, present, and future.