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ÀÌÇѺû ( Lee Han-Bit ) -
¹®¿ìÁ¾ ( Moon Woo-Jong ) - ±è½½¾Æ ( Kim Sla ) - ÀÌÁøÈñ ( Lee Jin-Hee ) - Àå¿ÁÁÖ ( Zhang Yuzhu ) -
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Abstract
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¿¬±¸¸ñÀû: º» ¿¬±¸´Â °£È£¾÷¹«¿¡ ´ëÇÑ ÀΰøÁö´É È°¿ë ¼±Ç࿬±¸¸¦ ¹ÙÅÁÀ¸·Î ±¹³» °£È£½Ç¹« °³¼±À» À§ÇÑ ÀΰøÁö´É Àû¿ë °¡´É¼ºÀ» Ž»öÇÑ´Ù.
¿¬±¸¹æ¹ý: ¡°°£È£¡±¿Í ¡°ÀΰøÁö´É¡±À» Å°¿öµå·Î ÁÖ¿ä Çмú µ¥ÀÌÅͺ£À̽º¸¦ °Ë»öÇÏ¿© 940ÆíÀÇ ³í¹®À» ÃßÃâÇÏ°í, Á¦¸ñ, ÃÊ·Ï, Å°¿öµå¸¦ °ËÅäÇÏ¿© 96ÆíÀ» ÃßÃâÇÏ¿´´Ù. 96Æí¿¡ ´ëÇÑ »ó¼¼ °ËÅä ÈÄ ±¹³» °£È£Çö½Ç¿¡ Àû¿ë °¡´ÉÇÒ °ÍÀ¸·Î ÆǴܵǴ ³í¹® 35ÆíÀ» ÃÖÁ¾ÀûÀ¸·Î ¼±Á¤ÇÏ¿© ºÐ¼®À» ÁøÇàÇÏ¿´´Ù.
¿¬±¸°á°ú: °£È£°úÁ¤ÀÇ Ã¹ ´Ü°èÀÎ °£È£»çÁ¤¿¡¼´Â ȯÀÚÀÇ ÅëÁõ Áø´Ü, ³«»ó ¿¹Ãø ¹× °¨Áö, ±×¸®°í ³ëÀÎÀÇ ¿òÁ÷ÀÓÀ» ÀÚµ¿À¸·Î °¨ÁöÇØ ±â·ÏÇÔÀ¸·Î½á °£È£»çÁ¤ÀÇ È¿À²¼º°ú Á¤È®¼ºÀ» ³ô¿©ÁÖ¾úÀ¸¸ç, °£È£Áø´Ü ´Ü°è¿¡¼´Â Áúº´ ¹× À§Çè ¿¹Ãø, ÀÀ±ÞȯÀÚ Æ®¸®¾ÆÁö µî º¸´Ù °´°üÀûÀÌ°í ½Å¼ÓÇÑ °£È£ ÀÇ»ç°áÁ¤¿¡ Å« ±â¿©¸¦ ÇÒ °ÍÀ¸·Î ±â´ëµÇ¾ú´Ù. Áø´ÜÀ» ¹ÙÅÁÀ¸·Î ¼¼¿öÁö´Â °£È£°èȹÀÇ °æ¿ì¿¡µµ ȯÀÚ À§Çè¿¡ ´ëÇÑ ¿¹Ãø ¸ðµ¨À» ÅëÇØ ½Å¼ÓÇÑ °£È£°èȹÀÌ °¡´ÉÇϵµ·Ï Áö¿øÇÏ¿´´Ù. °£È£»çÀÇ ¾÷¹« Áß Æ¯È÷ Åõ¾à ¿À·ù ¿¹Ãø°ú °£È£±â·Ï ºÎ´ãÀÇ °¨¼Ò¿¡ Àû¿ëµÇ´Â ¿¬±¸, ȯÀÚÀÇ À§Çè°ú ¿¹ÈÄ Æò°¡¸¦ ÅëÇØ Àüµ¿À̳ª ÀçÀÔ¿øÀ» ¿¹ÃøÇÒ ¼ö ÀÖµµ·Ï µ½´Â ÀΰøÁö´ÉÀº °£È£¼öÇà°ú °£È£Æò°¡ ´Ü°è¿¡¼ ±àÁ¤ÀûÀ¸·Î Àû¿ëµÉ ¼ö ÀÖ´Â ¸ðµ¨·Î ÆľǵȴÙ.
°á·Ð: ±¹³» °£È£¿µ¿ª¿¡ ÀΰøÁö´ÉÀ» Àû¿ëÇÔÀ¸·Î½á °£È£Æò°¡ ¹× Áø´ÜÀÇ Á¤È®¼ºÀ» ³ôÀÌ°í, ȯÀÚÀÇ °Ç° ¹× À§ÇèÀÇ ¿¹ÃøÀ» ÅëÇØ ¿¹¹æÁß½ÉÀÇ °£È£ Æз¯´ÙÀÓÀ» ÃËÁøÇϸç, ÀηºÎÁ· µîÀ¸·Î ÀÎÇÑ °£È£¾÷¹«ÀÇ ºÎ´ãÀ» ¿ÏÈÇÒ ¼ö ÀÖÀ» °ÍÀ¸·Î ÆǴܵȴÙ.
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Purpose: Based on a literature review of artificial intelligence (AI) applications within nursing tasks, this study delves into the feasibility of employing AI to improve nursing practice in Korea.
Methods: We used "nursing" and "artificial intelligence" as keywords to search academic databases, resulting in 96 relevant studies from an initial pool of 940. After a detailed review, 35 studies were selected for analysis based on nursing process stages.
Results: AI improves nursing assessment by enhancing pain diagnosis, fall detection, and movement monitoring in older adults. It aids nursing diagnosis through clinical decision support, risk prediction, and emergency patient triage. Further, it expedites the creation of precise plans utilizing predictive models in nursing planning. AI also forecasts medication errors and reduces the nursing documentation burden for nursing implementation. Additionally, it manages (re)hospitalization risks by assessing patient risk and prognoses in nursing evaluation.
Conclusion: AI in Korean nursing can enhance assessment and diagnosis accuracy, promote a prevention-focused paradigm through risk prediction, and ease the burden of nursing practice amidst human resource shortages.
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KeyWords
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ÀΰøÁö´É, µðÁöÅÐ Çコ, °£È£ °£È£°úÁ¤, Çѱ¹
Artificial intelligence, eHealth, Nursing, Nursing process, Korea
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¿ø¹® ¹× ¸µÅ©¾Æ¿ô Á¤º¸
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µîÀçÀú³Î Á¤º¸
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