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阿德萊德代寫economics IT Management assignment essay 論

    Watson may be able to overcome some of the shortcomings of traditional diagnosis or other support systems, and help healthcare professionals give out correct diagnosis, even treatment and other related details. Compared with above mentioned systems, Watson is able to process knowledge which is presented in human language. Coupled with superior process velocity, consultation time will be highly saved. Watson can directly analyze medical history of patients, so new questions which will help physicians clarify conditions, symptoms and outcomes can be raised and a diagnosis will not be confirmed without considering all probability (Harvie & McGoff, 2012). Besides the application in diagnosis, Watson can also generate treatment options.
    However, Watson which won the champion in Jeopardy! is far from enough to fulfill the above goal. The first challenge is whether Watson can really understand the medical history. Medical history is consisted of description of patient complaints, history of present illness, review of body systems and family history (Department of Health and Human Services, 2010), which are much more complex than the contents in Jeopardy!. Secondly, the outputs of Watson presented to physicians need to be improved (Ferrucci et al., 2012). As Watson is used to help healthcare professionals avoid cognitive errors, it needs to explain why and how a certain diagnosis or treatment option is generated; if not so, Watson makes the conclusions but physicians do not, which might lead to more errors. Thirdly, as mentioned above, Watson has the potential to ask additional questions which have not included in the medical history. While giving out hypotheses, the feedback could mention additional data needed to confirm or reject hypotheses. Watson has a good prospect for overcoming the three challenges in theory, but further development is essential. On the other hand, one prerequisite for the application of Watson is the establishment of electronic medical record systems, which are rudimentary in many countries. Also, the medical history should be best expressed in human language. Named entity and relation annotators are essential for Watson to extract key information.

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