Workflow Processes
In many organizations, the efforts to develop a workflow process motivated by the desire to accomplish specific goals become futile in the absence of a suitable structure electronic system. One business that has not been able to come up with a well-structured workflow process in the healthcare industry. Within such institutions, workflow processes are challenging to endeavour, given the complexity. Healthcare institutions happen to be service organizations with considerable flexibility and a high level of independence when it comes to the response of dynamic patient needs (Georgakopoulos, Hornick, & Sheth, 2015). The many work processes where a workflow has been established in the past, the processes have evolved to favour and respond to the prevailing task using the resources available. In this manner, such an approach is challenging to design explicitly. Changes that take place in such workflows depend on the care being administered under a variety of circumstances.
Having a workflow can be very useful because of the numerous operational challenges. Most of the time, health workers become frustrated with the prevailing situations and the dangers of having multiple complex operations running at the same time. In support of workflow within such organizations, computer simulation tools have been modelled to help decision-makers map the different organizational roles. The systems have also helped the management gain an understanding of the impact of having other workflow choices (Kushniruk, Borycki, Kuwata, & Kannry, 2006). Generally, a healthcare model of workflow outlines the trajectories to be used by the different care providers, the patients, and the organization workflow. Therefore, having models is useful as it defines and delineates how other care teams understand their jobs as well as the work processes.
References
Georgakopoulos, D., Hornick, M., & Sheth, A. (2015). An overview of workflow management: From process modeling to workflow automation infrastructure. Distributed and Parallel Databases, 3(2), 119–153. https://doi.org/10.1007/bf01277643
Kushniruk, A., Borycki, E., Kuwata, S., & Kannry, J. (2006). Predicting changes in workflow resulting from healthcare information systems: Ensuring the safety of healthcare. Healthcare Quarterly, 9(sp), 114–118. https://doi.org/10.12927/hcq..18469