Without considering the human element, the implementation of health information technology in the healthcare system will fail. Health information technology (HIT), a tool to achieve the best use of information. Computer science, as a whole, helps people who use information to better accomplish their cognitive tasks through technology. (Hersh, 2009) Currently, implementation projects will typically focus primarily on technology. This review will examine two articles, one from the United States and one from the United Kingdom, describing different approaches to considering the human element. The sensemaking process used in the American article and the Normalization Process Theory (NPT) used in the British article will provide a better understanding of how people can influence the success or failure of a development project. artwork. Currently, global efforts exist to integrate HIT into healthcare. systems. Efforts in the UK are hampered by varying levels of success, delayed projects and budget overruns and patient care has sometimes suffered adverse effects (Murray, et al., 2011). The United States is experiencing similar consequences, which Kitzmiller attributes to the lack of available research on how to manage HIT implementation projects. The lack of available studies has contributed to the slow and inconsistent adoption of HIT by hospitals. This has created a knowledge gap on how to create and manage HIT implementation project teams (Kitzmiller, Anderson, & McDaniel, Jr., 2010). In the UK, they have a large amount of data on successful implementations, but have little interest in early studies due to the lack of evidence supporting overall improvement. In the context of implementing a HIT in a hospital, the implementers should consist of... .. middle of article ......the United States, and the role that health IT plays in their success, require effective implementation methods that are flexible enough to deal with the inevitable unforeseen problems. Works Cited Hersh, W. (2009). A stimulus to define health informatics and information technologies. Medical Informatics and Decision Making BMC, 24(9). doi:10.1186/1472-6947-9-24 Kitzmiller, RR, Anderson, RA, & McDaniel, RR, Jr. (2010). Making sense of the implementation of health information technologies: a qualitative study protocol. Implementation Science, 95(5). Retrieved from http://www.implementationscience.com/content/5/1/95Murray, E., Burns, J., May, C., Finch, T., O'Donnell, C., Wallace, P., & Mair, F. (2011). Why is it difficult to implement e-health initiatives? : A qualitative study. Implementation Science, 6(6). Retrieved from http://www.implementationscience.com/content/6/1/6