As businesses and industries grow at almost record pace, it is not hard to see how anyone of everyone isn’t utilizing any technology to understand what makes their business tick. The inner workings of any good organization must be realized at all levels to enable improvements, uncover waste and make better decisions for forward progress. These aspects are only discovered by utilizing tools that expose patterns and trends not visibly recognized with human efforts alone. One of the tools that provides revelation within the gathered information is data mining.
Data mining is somewhat self-defining, but to bring us onto the same page, it is described in most IT realms as the process of finding useful relationships in the midst of large volumes of data. These relations are found by digging down into complex data, with the help of analytics, in order to show correlations between data sets. The reason that this isn’t considered humanly possible is because of the vast amounts of data that would have to be sifted through, understanding diverse associations and to do this in a timely fashion.
Many business types rely upon revealed trends as a means of providing better services and products, while controlling costs. This is no different within the healthcare industry; providing better care and managing expenses for all involved is not only advantageous, but is also part of the regulations passed down from the federal government. This doesn’t simply happen because it is willed into place or by finding less expensive materials and machinery to work with. Understanding where inefficiencies are occurring will benefit patient and professional.
If you are wondering where all the data is coming from that enables the experts to offer improved care, you don’t have to look very far due to the fact that we are all contributing to the greater picture. Each time that we visit a healthcare provider, whether it be for illness, accident or preventative care, information is recorded in our electronic health records (EHR), which allows our information to be shared across different providers to facilitate more accurate, personal care, but also to provide information within our specific communities or populations.
A trend that already being pushed upon those within healthcare is the change from a fee-for-service based pay to a value-based pay. This means that doctors are moving away from billing for every service they provide to proving that performance for reimbursement. This puts more risk for treatment in the professional’s court, but also demands more efficient treatment with less waste, such as duplicate testing, unnecessary testing, and unproductive appointments.
In lockstep with the movement away from fee-for-service based payments, comes better decision-making requirements. Data-driven decisions are much more effectual and long-term compared to other less reliable methods of rendering decisions. Crystal Run Healthcare of New York has implemented better practice determinations with how their organization moves forward. With data mining tools and the ability to evaluate patient trends, understand where future needs might be, explore internal and external risks, and other general processes, they are able to identify the current and future needs for patients and their organization as a whole.
Data mining truly is a self-definable term that holds a wealth of conclusions that not only benefit those working inside a healthcare organization, but also those that seek out and rely upon assistance that healthcare professional offer. Although the immediate effects may not blatantly obvious every time we are in a doctor’s office or hospital, the truth is the products received as a result of data mining are fundamental and foundational, thus are not always apparent. Sometimes, it is these sorts of developments that make it easier to put our faith and health into a doctor’s hands.