Clinical decision support systems are used primarily in the healthcare sector to aid physicians, nurses, and other allied healthcare professionals in decision making in terms of diagnosis, prognosis, and therapeutics. They store past medical data that help health professionals in analyzing future data and make clinical decisions. Such an evaluation of data assists in the prediction of potential adverse medical events and errors, ranging from medication interaction to disease symptoms. These systems comprise of hardware and software services, which help health professionals to reduce the rate of medical errors. This helps in the significant reduction of healthcare costs and improved clinical outcomes. The US has been increasingly experiencing an increasing incidence of chronic diseases and a growing geriatric population, which is expected to drive the demand for the global CDSS market. ( Source: Global Clinical Decision Support System Procurement Market Intelligence). Here is a comprehensive market overview of the global clinical decision support systems market:

Key markets 

The clinical decision support systems market will soon experience a spike in demand especially from end-user sectors such as hospitals, CROs, and biopharma. The market will experience the highest demand from the APAC region because of the rapid growth of the healthcare sector. Currently, the North American market is the largest market due to the presence of advanced infrastructure, economy, and growth of the geriatric population.

Procurement best practices

There are several factors that buyers must consider before purchasing clinical decision support systems. For instance, buyers must ensure that clinical decision support systems consist of analytical processes for monitoring various medical orders, which helps in avoiding duplicate or unnecessary orders, helping buyers to avoid excessive operational costs. Also, buyers must ensure that they buy clinical decision support systems that use the Bayesian prediction model. It helps them to predict the chances of survival or the treatment outcome for a patient. In addition, it provides buyers with a favorable treatment plan and allows them to change the choice of treatment efficiently. For more insights request a sample report.