°í·Á´ëÇб³ ¾È¾Ïº´¿ø ±Ç¿ªÀÀ±ÞÀÇ·á¼¾ÅÍ È®ÀåÀÌÀü °³¼Ò ¹× ÀÀ±ÞÀÇÇаú 30Áֳ⠱â³ä ±¹Á¦½ÉÆ÷Áö¾ö ¼º·á
2023³â 11¿ù 22ÀÏ 19½Ã 18ºÐ ÀÔ·Â
[¿Óóµ¥Àϸ®]°í·Á´ëÇб³ ¾È¾Ïº´¿ø ±Ç¿ªÀÀ±ÞÀÇ·á¼¾ÅÍ(¼¾ÅÍÀå ±è¼öÁø)°¡ 11¿ù 20ÀÏ ¸ÞµðÈúȦ¿¡¼­ °³ÃÖµÈ ±¹Á¦½ÉÆ÷Áö¾ö ¡®Advances in Critical care & Emergency medicine¡¯À» ¼º·áÇß´Ù.

 À̹ø ½ÉÆ÷Áö¾öÀº ±Ç¿ªÀÀ±ÞÀÇ·á¼¾ÅÍ È®ÀåÀÌÀü °³¼Ò ¹× ÀÀ±ÞÀÇÇаú 30ÁÖ³âÀ» ±â³äÇØ °³ÃֵǾúÀ¸¸ç Çѽ¹ü °í·Á´ëÇб³ ¾È¾Ïº´¿øÀå, ±è¼ºÁß Áß¾ÓÀÀ±ÞÀÇ·á¼¾ÅÍÀå µî 150¿© ¸íÀÌ Âü¼®ÇÑ °¡¿îµ¥ ¼ºÈ²¸®¿¡ °³ÃֵƴÙ.

 Ã¹ ¹øÂ° ¼¼¼Ç¿¡¼­´Â ÀÀ±ÞÀÇÇÐÀÇ ¹ßÀü °úÁ¤¿¡ °üÇØ ¼Ò°³µÇ¾úÀ¸¸ç °í·Á´ëÇб³ ¾È»êº´¿ø ÀÀ±ÞÀÇÇаú ¹®¼º¿ì ±³¼ö¿Í °í·Á´ëÇб³ ¾È¾Ïº´¿ø ±è¼öÁø ±Ç¿ªÀÀ±ÞÀÇ·á¼¾ÅÍÀåÀÌ ÁÂÀåÀ» ¸Ã¾Ò´Ù. ¡ãMilestones & Memories : 30 Years of Department of Emergency Medicine at Korea University(°í·Á´ëÇб³ ¾È¾Ïº´¿ø À̼º¿ì Áø·áºÎ¿øÀå) ¡ãQuality Improvement Strategies & Outcomes in Emergency Department : Resuscitation(°í·Á´ëÇб³ ¾È¾Ïº´¿ø ÀÀ±ÞÀÇÇаú ÇѰ©¼ö ±³¼ö) ¡ãQuality Improvement Strategies & Outcomes in Emergency Department : Trauma(°í·Á´ëÇб³ ¾È¾Ïº´¿ø ÀÀ±ÞÀÇÇаú ¼ÛÁÖÇö ±³¼ö) µî ÃֽŠÁö°ßÀ» ³ª´©´Â ÀÚ¸®°¡ µÆ´Ù.

 µÎ ¹øÂ° ¼¼¼Ç¿¡¼­´Â °¡Å縯´ëÇб³ Àǰú´ëÇÐ ÀÀ±ÞÀÇÇаú ¹Ú±Ô³² ±³¼ö¿Í °í·Á´ëÇб³ ¾È¾Ïº´¿ø À̼º¿ì Áø·áºÎ¿øÀåÀ» ÁÂÀåÀ¸·Î ÃÖ±Ù ÀÀ±ÞÀÇÇÐ ÇöÀåÀÇ À̽´µéÀ» °øÀ¯ÇÏ´Â ÀÚ¸®¸¦ °¡Á³´Ù. ¡ãUpToDate Insights into PCAC Research : Strategies for Enhancing Neurological Outcomes in Arrest Patients(University of Pittsburgh, Clifton W. Callaway ±³¼ö) ¡ãUpToDate Insights into Extracorporeal CPR (°í·Á´ëÇб³ ¾È¾Ïº´¿ø ±è¼öÁø ±Ç¿ªÀÀ±ÞÀÇ·á¼¾ÅÍÀå) ¡ãAnimal research in resuscitation(¼­¿ï´ëÇб³ Àǰú´ëÇÐ ÀÀ±ÞÀÇÇаú ±è°æ¼ö ±³¼ö) µî ½Ç¹«ÀûÀÎ ³»¿ëÀ» ´ã¾Æ Âü¼®ÀÚµéÀÇ Å« È£ÀÀÀ» ¾ò¾ú´Ù.

 ¼¼ ¹øÂ° ¼¼¼ÇÀº ¹Ì·¡ ÀÇÇÐÀ» Á¶¸ÁÇÏ´Â ÀÚ¸®·Î ¼øÃµÇâ´ëÇб³ Àǰú´ëÇÐ ÀÀ±ÞÀÇÇаú Á¶¿µ¼ø ±³¼ö, °í·Á´ëÇб³ ¾È¾Ïº´¿ø °ûÁ¤¸é µðÁöÅÐÇコÄɾÅÍÀåÀÌ ÁÂÀåÀ» ¸Ã¾Ò´Ù. ¡ãUpToDate Insights : Ultrasound data platform-using emergency Ultrasound research(Universiity of California Irvine, John Christian Fox ±³¼ö) ¡ãDigital Health Application in Future Hospital(¼º±Õ°ü´ëÇб³ Àǰú´ëÇÐ ÀÀ±ÞÀÇÇаú Â÷¿øÃ¶ ±³¼ö) ¡ãArtifical Intelligence in Emergency Department : A Cost-Benefit Analysis of Machine Learning Applications to Optimizing Patient Flow(°í·Á´ëÇб³ ±â¼ú°æ¿µÀü¹®´ëÇпø ÀºÁØ¿± ±³¼ö) µî µðÁöÅÐ ±â¼ú Ȱ¿ë¹æ¾Èµé¿¡ ´ëÇØ ³íÀÇÇÏ´Â ÀÚ¸®°¡ µÆ´Ù.

 Çѽ¹ü º´¿øÀåÀº Àλ縻¿¡¼­ ¡°ÀÀ±ÞÀÇ·á¼¾ÅÍÀÇ »çȸÀû ¿ªÇÒÀÌ ´õ ¾øÀÌ °­Á¶µÇ´Â ½Ã±âÀÌ´Ù¡±¶ó°í ¼³¸íÇÏ¸ç ¡°Áö³­ 30³â°£ ÃàÀûÇØ¿Â ÀÀ±ÞÀÇÇаúÀÇ ³ëÇϿ츦 ¹ÙÅÁÀ¸·Î ±¹³»¿Ü ÀÀ±ÞÀÇ·á¼­ºñ½ºÀÇ ÇöȲÀ» ¤¾îº¸°í, »õ·Ó°Ô È®Àå ÀÌÀüÇÑ ±Ç¿ªÀÀ±ÞÀÇ·á¼¾ÅͰ¡ ³ª¾Æ°¡¾ß ÇÒ ¹æÇâ¿¡ ´ëÇØ ³íÀÇÇÒ ¼ö ÀÖ´Â ½Ã°£ÀÌ µÇ±æ ¹Ù¶õ´Ù¡±°í ¸»Çß´Ù.

 ±è¼öÁø ±Ç¿ªÀÀ±ÞÀÇ·á¼¾ÅÍÀåÀº ¡°¿ÃÇØ·Î 30ÁÖ³âÀ» ¸ÂÀÌÇÑ °í·Á´ëÇб³ ÀÀ±ÞÀÇÇаú ±³½ÇÀº ¹Ì·¡ÁöÇâÀû ÀÀ±ÞÀÇÇÐ ¿¬±¸, ÁßÁõÀÀ±ÞÁø·á, Â÷º°È­µÈ ¼±µµÀû Áø·á½Ã½ºÅÛÀ» ÁöÇâÇÏ¸ç ¼ºÀåÇØ¿Ô´Ù¡±¸ç ¡°»õ·Ó°Ô ¿ÀÇÂÇÑ ±Ç¿ªÀÀ±ÞÀÇ·á¼¾ÅÍ´Â Áö³­ ³ë·ÂÀÇ °á½ÇÀ» ´ã¾Æ ¼±ÁøÈ­µÈ ÀÀ±ÞÀÇ·áü°è¸¦ °®Ãß°í ÀÖ´Ù¡±°í ¼³¸íÇß´Ù. ÀÌ¾î ¡°¿À´Ã ½ÉÆ÷Áö¾ö¿¡¼­ ÀÀ±ÞÀÇÇÐ ÃֽŠÁö°ß°ú ¹Ì·¡ ºñÀüÀ» °øÀ¯¸¦ ÅëÇØ ÀÀ±ÞÀÇÇÐÀÇ ¹ßÀüÀ¸·Î ±¹¹ÎµéÀÌ ´õ¿í °Ç°­ÇÑ »îÀ» ¿µÀ§ÇÒ ¼ö ÀÖ±æ ¹Ù¶õ´Ù¡±°í ¸»Çß´Ù.

 ÇÑÆí, °í·Á´ëÇб³ ¾È¾Ïº´¿ø ±Ç¿ªÀÀ±ÞÀÇ·á¼¾ÅÍ´Â ¸ÞµðÄÄÇ÷º½º ½Å°ü ¿ÀÇ¿¡ ¹ß¸ÂÃç »õ·Ó°Ô Á¶¼ºµÈ 1Ãþ °ø°£À¸·Î È®´ë ÀÌÀüÇØ ÀÀ±ÞȯÀÚÀÇ Á¢±Ù¼ºÀ» ³ô¿´´Ù. ±¹³»¿¡¼­ °¡Àå ÃÖ½ÅÀÇ Àåºñ¸¦ ±¸ºñÇϰí ü°èÀûÀÎ °ø°£ ºÐ¸® ½Ã½ºÅÛ µµÀÔÀ¸·Î ÁßÁõµµ¿¡ µû¶ó ÀÀ±ÞȯÀÚ¸¦ ºÐ¸®ÇÏ´Â µî ȯÀÚ¿Í ¼ÒÅëÇÏ´Â Æí¾ÈÇÑ ±Ç¿ªÀÀ±ÞÀÇ·á¼¾ÅÍ·Î ±¸Á¶, µðÀÚÀÎ, ÇÁ·Î¼¼½º µîÀ» »õ·Ó°Ô °³¼±ÇÏ¸ç ¼±µµÀûÀÎ ÀÀ±ÞÀÇ·áü°è¸¦ ±¸ÃàÇØ ÀÇ·á±â°üÀÇ »ç¸íÀ» °­È­Çϰí ÀÖ´Ù.