HIT slow success rate has been evaluated to be as high as 50 – 70 % and is considered a significant hindrance to adoption of information technology by the health sector industry. Components like staff opposition to change and rebelliousness, deficient administration, approaches and strategies, and technical failures rise as essential purposes behind HIT implementation obstacle (Kaplan and Harris-Salamone, 2009). Procedures like staff training and support, open communication, strong leadership and interdisciplinary collaboration could moderate danger of failure due to above listed components. Mechanical appraisal of work process and decision making procedures, and utilization of cognitive and human factor designing standards are vital for building up a framework that would meet organizational and client needs.
The execution of health information technology essentially modifies economic, political, social, technical, organizational, and cultural dimensions of the workplace. Since human health department is an interactive environment, very complex, and highly dynamic an iterative programming advancement/execution process like System Development Life Cycle (SDLC) is outstanding amongst other suited methodologies for fruitful execution of health information technology. System Development Life Cycle is one of a kind in including continually changing framework necessities through getting input from system users and coordinating intellectual social specialized angles into different stages with the goal that both the authoritative and client needs are met (Conrick, 2006).
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The process of SDLC which include five steps are process of planning and requirements definition,analysis, design of the new system, implementation and post-implementation support (such as maintenance and security).Undertaking improvement of any data framework in human services situations is a dynamic and iterative process that continually should be adjusted to contemporary practices. The changing jobs of staff and relational connections, and regularly advancing innovation, condition, and authoritative needs must be continually obliged into framework plan. Consistent assessment of the framework by an assigned center multidisciplinary group ought to be directed to recognize any issues that could undermine its usefulness and use (Paoletti et al . 2009). When an issue is recognized, the whole procedure of arranging, examination, structure, and usage is repeated.
Consistent upgrade and upkeep of databases to guarantee feasibility of the system is likewise basic for a fruitful supported system. Likewise, the strategies and methodology ought to be refreshed to help the innovation use.
References
Avgerou, C., &Walsham, G. (Eds.). (2017). Information Technology in Context: Studies from the Perspective of Developing Countries: Studies from the Perspective of Developing Countries . Routledge.
Bisantz, A. (2008). Cognitive Engineering Applications in healthcare. National Academy of Engineering,4FrontiersofEngineering/CognitiveEngineeringApplicationsinHealthCare.aspx
Larrison, C. R., Xiang, X., Gustafson, M., Lardiere, M. R., & Jordan, N. (2018). Implementation of Electronic Health Records Among Community Mental Health Agencies. The Journal of Behavioral Health Services & Research , 45(1), 133-142.38(4). Retrieved September 30, 2009, from http://www.nae.edu/Publications/TheBridge/Archives/V-38-
Sligo, J., Gauld, R., Roberts, V., & Villa, L. (2017). A literature review for large-scale health information system project planning, implementation and evaluation. International Journal of Medical Informatics , 97, 86-97.