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The Effects of Technology on Decision Making

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The Effects of Technology on Decision Making
The Effects of Technology on Decision Making
Denise DelPapa
Christin Kondash
Diane Simpson
Amie Touray
HCS/482
January 16, 2012
Dinah Bampoe

The Effects of Technology on Decision Making
Advances in health care technology are forever changing the way health care providers and health care consumers make decisions. Whether it is making a decision on a patient’s diagnosis or plan of care or the patient assuming responsibility of their own health and well-being via researching the internet, technology continues to improve the efficacy of health care in various ways. Computer systems are one way that health care providers have integrated technology into the medical field. Each computer system is unique, yet all have a purpose, function and structure. Deciding what computer system to choose, what software programs to incorporate and what the computer is needed to do are just a few burdens that have to be weighed when deciding which is best suited for the health care organization. Many health care organizations elect to incorporate decision support systems. Decision support systems have been in increasing patient quality of care, increasing positive patient outcomes and decreasing the potential of medical errors. Bar coding, robotics, interactive websites, electronic medical records, and e-scribing are just a few advances in technology. “Advances in software, hardware, and networking all share common impact attributes in their ability to improve cost-effectiveness of care, quality of care, and access to care” (Nobel & Norman, 2003). With these attributes, the benefits are numerous in assisting with decision making in all aspects of health care.
A discussion on the DIK Mode The key to the complex relationship between data, information, and knowledge lies at the source of data and information. The source of data and information is dual: activities, and situations. Both activities and situations produce information



References: Crunk, J., & North, M. M. (2007). Decision Support Systems and Artificial Intelligence Technologies in Aid of Information Systems Based Marketing. International Management Review, 3(2), 61-67. Englebardt, S. P., & Nelson, R. (2002). Health Care Informatics: An Interdisciplinary Approach. Retrieved from The University of Phoenix eBook Collection. Killeen, M. B., & King, I. M. (2007). Viewpoint: Use of King 's Conceptual System, Nursing Informatics, and Nursing Classification Systems for Global Communication. International Journal Of Nursing Terminologies & Classifications, 18(2), 51-57. doi:10.1111/j.1744-618X.2007.00050.x Lerner, V.S. (2004, June). . Introduction to information systems theory: concepts, formalism and applications, 35(7). Retrieved from http://dl.acm.org/citation.cfm?id=1041156 Liew, A. (2007, June). . Understanding Data, Information, Knowledge And Their Inter-Relationships, 8(2), . Retrieved from http:// http://www.tlainc.com/articl134.htm Nobel, J. & Norman, G (2003). Emerging Information Management technologies and the Future of disease management. Disease Management, 6(4), 219-231 Tuomi, I. (1999). Data Is More Than Knowledge: Implications of the Reversed Knowledge Hierarchy for Knowledge Management and Organizational Memory. Journal Of Management Information Systems, 16(3), 103-11.

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