Abstract
As medical and computer technology has developed rapidly, interest and investment in the medical field has grown tremendously. However, the majority of healthcare systems do not take into consideration patients’ emergencies or could not offer individualized resource assistance. The following discussion explores a smart-healthcare system using Cognitive Computing approach in order to solve this issue. Based on this cognitive computing view, (Electronic Medical Record) EMR systems can be more proactively used not just for bookkeeping but as data dictionary which can be used for analyzing and providing cures to not only patients with critical medical conditions but can also be used as a precautionary analyst which can track patients medical history and provide early diagnostic results. Cognitive computing is also an active entity which if combined with EMR can provide healthcare providers with access to vast amounts of information related to medical sciences, drug information, and medical ontologies. This discussion focuses on understanding various different methods in which cognitive approaches can be put together in healthcare. The later section of the discussion throws light on how different modern technologies can be merged with cognitive approaches to enhance the healthcare sector. An exploration of past and current research advances in the field of creating cognitive systems in medical practice is presented. The comparison analysis section gives an overview of different types of cognitive approaches in a generalized manner whereas the last section (i.e.) results and analysis examines some experimental samples to show the extent of cognitive agents.
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Sharma, R., Ghosh, U.B. (2022). Cognitive Computing Driven Healthcare: A Precise Study. In: Mishra, S., Tripathy, H.K., Mallick, P., Shaalan, K. (eds) Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis. Studies in Computational Intelligence, vol 1024. Springer, Singapore. https://doi.org/10.1007/978-981-19-1076-0_14
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