In an industry as complex and far reaching as healthcare, making sure that you know or at least have access to as much knowledge as possible is essential. This knowledge is gained in more conventional ways so as to be more accurate and overall more efficient. The knowledge is stored in digital form, which is nothing new to any of us, but what happens to all that stored data is being used in fashions not many of us could ever imagine.
However, the end result doesn’t come by some magical data fairy that organizes everything and spits out a report or graph that explains current or future patterns; there is a lot of work that went into planning for and producing a healthcare data model that combines information, searches out and almost seamlessly provides answers you were looking for.
A data model is the bare bones structure of how data is saved, related, extracted and so much more. Many other business industries were able to more easily create data models that made best practices and more efficient work of their incoming information.
Yet, healthcare information systems weren’t ever all that easy to structure, due to factors including: how many people needed access to information, the protection of that information, unstructured and outside data being saved, etc. This was a major factor into why healthcare is not as advanced in data collection, storage and analysis.
Once programs were being developed to specifically take on the challenges of the diverse fields within medical practices, the utilization of analytics to provide better treatment, cut costs for both patient and professional, and ultimately be able to forecast when and where needs might be required became a motivating factor in fine-tuning software programs.
This is where a new type of data model was presented; one that went beyond the bare bones and created guidelines with milestones that could and should be met in order to progress onto the next level. Each level had specific objectives that cannot be skipped because one level builds on to and improves standards and structure of the previous.
Where will these data models lead? What will become possible as we get better and better and collecting, analyzing and redistributing information? Only time will tell.