Medical Decision Making is a peer-reviewed academic medical journal which publishes manuscripts in the areas of medical informatics and decision-making. Its current editor-in-chief is Brian Zikmund. It was launched in 1981 and is presently published by SAGE Publications along with its sister journals. The Journal of Medical Decision Making has almost forty-five years of experience in publishing high quality, practical, research-based medical information.
This article will focus on four types of models used in medical decision making. These are the primary model, rational level, deliberative model and the mixed models. Each has their own merits, shortcomings and advantages when compared to the others. Let’s have a look at them here.
First and foremost, let us look at the high complexity ones – the rational level and the rational extreme. These are also known as super intelligence and super wisdom models and they basically describe a high level of complex decision making. Models like these are highly demanding and need extensive and flexible specifications in order to satisfy the demands of scientific rigor and application. In short, it cannot be done quickly and easily.
Second is the rational moderate complexity or SLIC. It is also known as the super intelligence level. This particular model is relatively simple and was developed as a means to evaluate the various scientific paradigms and make a distinction between those that are reasonable and those that are not. Hence, it cannot be done quickly and easily. On the contrary, the rational moderate complexity has been found to yield accurate results more often than the high complexity ones.
Medical Decision Making
The last one is the most popular and often referred to as the holistic model or the diamond fourth level. It is, in fact, a compromise between the other three models. It can be seen as a compromise in between the rational extremes and is the model considered to be the most appropriate for medical decision making. Here, all four types are present but, unlike the other models, it is possible to get as close as possible to optimal outcomes in terms of cost and complexity.
As we mentioned before, there are four types of complexity when it comes to medical decision making. They are rational, complex, moderate and low. In simple terms, the higher the level of sophistication of the coding model used in a medical setting, the lower the cost and/or complexity of the coding. In other words, the lower the levels of complexity, the higher the accuracy rates for the coding model and vice versa.
So, as you can see, the first three categories are represented by very different coding models and, as we have already mentioned, the fourth one is represented by a moderate level of complexity. For this reason, when it comes to the third category, the diamond model, the cost and complexity is balanced out by high accuracy and reliability of the coding model. This is, of course, represented by the diamond emblem. This is something that makes the mDM concept very attractive and, as we will see in the next post, it has certain key advantages over other similar approaches.
In The End
At this point, we would like to mention some aspects related to the data reviewed when using the diamond coding approach for medical decision making. For instance, the use of sophisticated algorithms, the use of meta-analyses, and the use of robust statistical methods. These methods and algorithms allow for the use of complicated regression techniques, which are not necessary if data is reviewed in the first level-3 of the diamond coding. In addition, it is possible for complex relationships to be determined between patients and their physicians even in cases where the physicians themselves may lack the necessary expertise for such analysis.