The use of data mining in most organizations, especially in healthcare, enables one to identify patterns and utilize such designs in future trend predictions. Data mining aims at destroying undesirable information while discovering data and anticipating patterns. One of the healthcare projects that will call for the use of data mining is treatment evaluation. In this case, it is essential to realize that the main aim of health data mining is to attract already obscure and new medical arrangements to aid in anticipation, purpose, and treatment plan (Peng, 2017). Besides, the use of programming helps in storing patients’ information electronically, hence making health data less distressing both in access and utilization.
Using the data mining program will help compare various symptoms alongside causes to establish the most favorable action for a particular condition. The use of information mining techniques will give information on the desirable standards for treatment and care practices (Peng, 2017). Proper analysis of the information available will shed some light on how to provide services at a relatively lower cost. Analysis of the treatment record will help the facility establish its profile and relate these with other peer-reviewed firms and physician’s standards. This helps in determining the effectiveness of the existing treatment plan.
The basic need for data mining is to align information that is better utilized to improve the existing treatment plan. In this regard, several strategies can be employed to data mining and realize desirable experiences from its use. These include first gathering information from nursing and proper utilizing of the information in mining. By doing this, other strategies are likely to have ground, given that significant data is accessible in all clinical designs.
Reference
Peng, Y., Lin, J. R., Zhang, J. P., & Hu, Z. Z. (2017). A hybrid data mining approach on BIM-based building operation and maintenance.Building and Environment, 126, 483-495. Web.