Sunday, 4 December 2011

Reduce errors with Clinical Decision Support Systems

The success of implementing such a comprehensive system that covers a whole gamut of services depends on how cleverly it is customized to suit the unique needs of an institution. Depending on the scale of operations, it can be modified to provide assistance in taking clinical decisions and other miscellaneous operations necessary for the proper functioning of a healthcare facility. It avoids duplication of tasks and makes communication flow within a facility more streamlined. It essentially creates a database of patients' medical record, tests conducted, managing hospital inventory, track orders like medicines, lab equipments etc. An authorized person can have access to all such information as may be necessary at a particular point of time and can make the same available to other departments in no time. CDSS are of two types-knowledge and non-knowledge based. The former one gives out inferences after a user inputs information while the latter depends on machine learning.



Another extension of such a system is medical billing system which is used to electronically fill and claim money from the insurance agencies. Claiming is a tricky affair and a single mistake in filling up of forms can result in outright rejections that cause unnecessary wastage of time. However, with an electronic system the probability of committing silly errors is drastically reduced and thus the chances of acceptances get improve.



Yasasii is comprehensive clinical decision support system software designed for all types of healthcare facilities in different settings providing user-friendly interface designed by highly experienced and leading software architects. The simplicity of usage in turn helps in unraveling the complexities of daily operations and eliminating the usage of paper using advance healthcare information management systems The ease of usage of a medical billing system coupled with Decision Support System and Knowledge Management System simplify and reduce the work of healthcare providers, improve work flow, minimizing clinical errors, plugging leakages and increasing overall staff productivity.

No comments:

Post a Comment