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Electronic Patient-Reported Outcomes
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2024³â¿¡ 9¾ï 5,370¸¸ ´Þ·¯·Î ÃßÁ¤µÇ´Â ¼¼°èÀÇ ÀüÀÚ È¯ÀÚ º¸°í °á°ú ½ÃÀåÀº 2024-2030³â¿¡ CAGR 14.7%·Î ¼ºÀåÇϸç, 2030³â¿¡´Â 22¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ ¸®Æ÷Æ®¿¡¼­ ºÐ¼®ÇÑ ºÎ¹®ÀÇ ÇϳªÀΠŬ¶ó¿ìµå ±â¹ÝÀº CAGR 13.4%¸¦ ±â·ÏÇϸç, ºÐ¼® ±â°£ Á¾·á½Ã¿¡´Â 14¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ¿ÂÇÁ·¹¹Ì½ºÇü ºÎ¹®ÀÇ ¼ºÀå·üÀº ºÐ¼® ±â°£ÀÇ CAGR·Î 17.5%·Î ÃßÁ¤µË´Ï´Ù.

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¼¼°èÀÇ ÀüÀÚ È¯ÀÚ º¸°í °á°ú(ePRO) ½ÃÀå - ÁÖ¿ä µ¿Çâ°ú ÃËÁø¿äÀÎ Á¤¸®

ÀüÀÚ È¯ÀÚ º¸°í °á°ú°¡ ÀÓ»ó ¿¬±¸ ¹× Ä¡·á ¸ðµ¨¿¡ Çõ¸íÀ» ÀÏÀ¸Å³ ¼ö ÀÖ´Â ÀÌÀ¯´Â ¹«¾ùÀΰ¡?

ePRO ¼Ö·ç¼ÇÀº ȯÀÚ°¡ »ý¼ºÇÑ °Ç°­ µ¥ÀÌÅ͸¦ µðÁöÅÐÈ­ÇÏ¿© Áõ»ó, Ä¡·á ¹ÝÀÀ, »îÀÇ Áú ÁöÇ¥ µîÀ» ½Ç½Ã°£À¸·Î ¿ø°ÝÀ¸·Î ¼öÁýÇÒ ¼ö ÀÖ°Ô ÇÕ´Ï´Ù. ½Ç½Ã°£À¸·Î ¿ø°Ý¿¡¼­ ÃëµæÇÒ ¼ö ÀÖµµ·Ï ÇÕ´Ï´Ù. Á¾ÀÌ ±â¹Ý ¹æ½Ä¿¡¼­ Å»ÇÇÇÏ´Â °ÍÀº Àü»êÈ­ ¿À·ù, ºÒ¿ÏÀüÇÑ µ¥ÀÌÅÍ, ÀԷ¿¡¼­ ºÐ¼®±îÁöÀÇ ½Ã°£ Áö¿¬ µî ¼ö³â°£ÀÇ ºñÈ¿À²¼ºÀ» ÇØ¼ÒÇÏ´Â °ÍÀÔ´Ï´Ù.

ÀÓ»ó½ÃÇèÀº Àϰü¼º ÀÖ´Â µ¥ÀÌÅÍ¿Í È¯ÀÚ Á᫐ ¿£µåÆ÷ÀÎÆ®¿¡ ´ëÇÑ ±ÔÁ¦ ¿ä°ÇÀ» ÃæÁ·Çϱâ À§ÇØ ePRO ½Ã½ºÅÛÀ» µµÀÔÇÏ´Â »ç·Ê°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ±âÁ¸ ¹æ½Ä°ú ´Þ¸® ePRO´Â ŸÀÓ½ºÅÆÇÁ, Áö¿ªÀû À§Ä¡ Á¤º¸, °¨»ç ÃßÀûÀÇ ÀÔ·ÂÀ» ¿ëÀÌÇÏ°Ô Çϰí, ȸ»ó ÆíÇâÀ» ÁÙÀ̰í, µ¥ÀÌÅÍ ¼¼ºÐ¼ºÀ» ³ôÀÔ´Ï´Ù. FDA¿Í EMA°¡ ±ÔÁ¦ ´ç±¹¿¡ Á¦ÃâÇÒ ¶§ Çö½Ç ¼¼°è Áõ°Å¿Í ȯÀÚ Á᫐ Á¢±Ù¹ýÀ» °è¼Ó ¿ËÈ£ÇÏ´Â °¡¿îµ¥, ePRO Ç÷§ÆûÀÇ Ã¤ÅÃÀº Çö´ëÀÇ Á¦¾à °³¹ß ÆÄÀÌÇÁ¶óÀο¡¼­ ¾çµµÇÒ ¼ö ¾ø´Â ÀÚ»êÀÌ µÇ°í ÀÖ½À´Ï´Ù. Á¦¾à»ç ¹× CRO´Â ƯÈ÷ ºÐ»êÇü ¹× ÇÏÀ̺긮µå ÀÓ»ó½ÃÇè¿¡¼­ ´Ù±â°ü µ¥ÀÌÅÍ ¼öÁýÀ» °£¼ÒÈ­Çϱâ À§ÇØ ÀÓ»ó½ÃÇèÀÇ °¢ ´Ü°è¿¡¼­ ePRO ¸ðµâÀ» Ç¥ÁØÈ­Çϰí ÀÖ½À´Ï´Ù.

ePRO´Â ¸¸¼ºÁúȯ °ü¸® ¹× ½ÃÆÇ ÈÄ Á¶»ç¿¡¼­ Áõ»ó ÃßÀû, º¹¾à ¼øÀÀµµ, »îÀÇ Áú ¸ð´ÏÅ͸µ °³¼±¿¡ Ȱ¿ëµÇ°í ÀÖ½À´Ï´Ù. ȯÀÚ°¡ º¸°íÇÏ´Â ÇÇ·Î, ÅëÁõ, ±âºÐ¿¡ ´ëÇÑ ½Ç½Ã°£ ÀλçÀÌÆ®¸¦ ÅëÇØ ÀÇ»ç´Â ´õ »¡¸® °³ÀÔÇϰí Ä¡·á Àü·«À» °³º°È­ÇÒ ¼ö ÀÖ½À´Ï´Ù. ÆÒµ¥¹ÍÀº ÀÌ·¯ÇÑ º¯È­¸¦ Å©°Ô °¡¼ÓÈ­ÇÏ¿© µðÁöÅÐ °Ç°­ Âü¿©¿Í ¿ø°Ý ¸ð´ÏÅ͸µ ÅøÀÌ Ç¥ÁØ Ä¡·áÀÇ Ç¥ÁØÀ¸·Î ÀÚ¸® Àâ°Ô µÇ¾ú½À´Ï´Ù. ÀÇ·á ½Ã½ºÅÛÀº ÀÌÁ¦ ePRO¸¦ ÀüÀڰǰ­±â·Ï(EHR)¿¡ ÅëÇÕÇÏ¿© Á¾´ÜÀû µ¥ÀÌÅͼ¼Æ®¸¦ º¸°­ÇÏ°í º¸´Ù ¿¹Ãø °¡´ÉÇÑ Áý´Ü ¼öÁØÀÇ ÀλçÀÌÆ®¸¦ È®º¸ÇÏ´Â °ÍÀÇ °¡Ä¡¸¦ ÀνÄÇϰí ÀÖ½À´Ï´Ù.

±â¼ú°ú ÅëÇÕ Ç¥ÁØÀº ¾î¶»°Ô ½ÃÀåÀÇ °íµµÈ­¸¦ ÃËÁøÇϰí Àִ°¡?

ePROÀÇ »óȲÀº ¸ð¹ÙÀÏ ÄÄÇ»ÆÃ, Ŭ¶ó¿ìµå ÀÎÇÁ¶ó, »óÈ£¿î¿ë¼º ÇÁ·¹ÀÓ¿öÅ©ÀÇ ±Þ¼ÓÇÑ ±â¼ú ¹ßÀü¿¡ ÀÇÇØ Çü¼ºµÇ°í ÀÖ½À´Ï´Ù. Çö´ëÀÇ ePRO ¼Ö·ç¼ÇÀº ±â±â¿¡ ±¸¾Ö¹ÞÁö ¾Ê°í ½º¸¶Æ®Æù, ÅÂºí¸´, ¿þ¾î·¯ºíÀ» ÅëÇØ Á¢±ÙÇÒ ¼ö ÀÖÀ¸¸ç, ¿ÀÇÁ¶óÀÎ µ¥ÀÌÅÍ ¼öÁý ¹× ´Ù±¹¾î ÇöÁöÈ­µµ Áö¿øÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Ç÷§ÆûÀº ȯÀÚ Æ÷ÅÐ, EHR ½Ã½ºÅÛ, eCOA(Electronic Clinical Outcome Assessment) ½ºÀ§Æ®¿Í ¿øÈ°ÇÏ°Ô ÅëÇÕµÇ¾î µ¿ÀǺÎÅÍ ÄÄÇöóÀ̾𽺠ÃßÀû±îÁö ¿£µåÅõ¿£µå µðÁöÅÐ ¿öÅ©Ç÷ο츦 °¡´ÉÇÏ°Ô ÇÕ´Ï´Ù.

HL7 FHIR(Fast Healthcare Interoperability Resources) Ç¥ÁØÀº ePRO µ¥ÀÌÅ͸¦ ÀÓ»ó Áø·á °æ·Î ¹× ¿¬±¸ µ¥ÀÌÅͺ£À̽º¿¡ ÅëÇÕÇϱâ À§ÇØ È°¿ëµÇ°í ÀÖÀ¸¸ç, »óÈ£¿î¿ë¼ºÀº ¿©ÀüÈ÷ ePRO äÅÃÀÇ ÇÙ½ÉÀÔ´Ï´Ù. ÁÖ¿ä °ø±ÞÀÚµéÀº EDC(ÀüÀÚ µ¥ÀÌÅÍ ¼öÁý) ½Ã½ºÅÛ, ºÐ¼® ´ë½Ãº¸µå, AI ¿£Áø°úÀÇ ¿øÈ°ÇÑ µ¥ÀÌÅÍ ±³È¯À» À§ÇÑ API¸¦ Á¦°øÇÕ´Ï´Ù. ÀÌ·¯ÇÑ ÅëÇÕÀº ¼öÀÛ¾÷À¸·Î ÀÎÇÑ µ¥ÀÌÅÍ ¸¶À̱׷¹À̼ÇÀ» ÁÙÀÏ »Ó¸¸ ¾Æ´Ï¶ó, Áø·áÆÀ°ú ¿¬±¸ ¸ð´ÏÅÍ °£ÀÇ ½Ç½Ã°£ ÀÇ»ç°áÁ¤À» Áö¿øÇÕ´Ï´Ù.

HIPAA, GDPR(EU °³ÀÎÁ¤º¸º¸È£±ÔÁ¤), 21 CFR Part 11ÀÇ ÄÄÇöóÀ̾𽺴 ePRO º¥´õµé¿¡°Ô Áß¿äÇÑ °úÁ¦ÀÔ´Ï´Ù. ¼¼°è ±ÔÁ¦ ¿ä°ÇÀ» ÃæÁ·Çϱâ À§ÇØ ¿£µåÅõ¿£µå ¾Ïȣȭ, »ýüÀνÄ, ÀÚµ¿ °¨»ç ·Î±ëÀ» °®Ãá ¼Ö·ç¼ÇÀÌ µîÀåÇϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ AI¸¦ Ȱ¿ëÇÑ µ¥ÀÌÅÍ °ËÁõ, °¨Á¤ ºÐ¼®, ÀÚ¿¬ ¾ð¾î ó¸®ÀÇ µîÀåÀ¸·Î ePROÀÇ ±â´ÉÀº ±¸Á¶È­µÈ ¼³¹® Á¶»ç»Ó¸¸ ¾Æ´Ï¶ó ºñ±¸Á¶È­µÈ Áõ»ó ³»·¯Æ¼ºê¿Í ÀÚÀ¯ ±â¼ú Àϱ⸦ Æ÷ÇÔÇÒ ¼ö ÀÖ°Ô µÇ¾î Àüü ȯ°æ¿¡¼­ ȯÀÚÀÇ ¸ñ¼Ò¸®¿¡ ´ëÇÑ Ãæ½Çµµ¸¦ ³ôÀÏ ¼ö ÀÖ°Ô µÇ¾ú½À´Ï´Ù.

¾î¶² ÃÖÁ¾»ç¿ëÀÚ ºÎ¹®°ú Ä¡·á ºÐ¾ß°¡ ePRO »ç¿ëÀ» ÁÖµµÇϰí Àִ°¡?

Á¦¾àȸ»ç¿Í »ý¸í°øÇРȸ»ç´Â ƯÈ÷ Èıâ ÀÓ»ó½ÃÇè°ú ½ÂÀÎ ÈÄ ÀÓ»ó½ÃÇè¿¡¼­ ePRO ¼Ö·ç¼ÇÀ» °¡Àå ¸¹ÀÌ µµÀÔÇÑ ±â¾÷ÀÔ´Ï´Ù. Á¾¾çÇÐ, ¸é¿ªÇÐ, ½Å°æÇÐÀÌ ÃÖÀü¼±¿¡ ÀÖÀ¸¸ç, ÀÌµé ºÐ¾ß¿¡¼­´Â ±âÁ¸ ÀÓ»óÀÇÀÇ Æò°¡·Î´Â ÆÄ¾ÇÇÒ ¼ö ¾ø´Â ȯÀÚÀÇ °æÇè¿¡ ÀÇÇÑ ¹Ì¹¦ÇÑ Áõ»ó ÃßÀûÀÌ ÇÊ¿äÇϱ⠶§¹®ÀÔ´Ï´Ù. ´Ù¹ß¼º °æÈ­Áõ, ¿ì¿ïÁõ, ·ù¸¶Æ¼½º °üÀý¿°ÀÇ ½ÃÇè¿¡¼­´Â ÇÇ·Î, ÅëÁõ °­µµ, Á¤¼­Àû À£ºùÀ» Áö¼ÓÀûÀ¸·Î ¸ð´ÏÅ͸µÇϱâ À§ÇØ ePRO¿¡ ´ëÇÑ ÀÇÁ¸µµ°¡ ³ô¾ÆÁö°í ÀÖ½À´Ï´Ù.

º´¿ø, Àü¹® Ŭ¸®´Ð, Çмú¿¬±¸ ±â°üÀº ƯÈ÷ °¡Ä¡ ±â¹Ý Áø·á°¡ Àǹ«È­µÊ¿¡ µû¶ó À̸¦ µû¸£°í ÀÖ½À´Ï´Ù. ¿¹¸¦ µé¾î Á¾¾ç¼¾ÅÍ¿¡¼­´Â ÇöÀç ȯÀÚµéÀÌ ¸Þ½º²¨¿ò, ¼ö¸éÀÇ Áú, ±â´É Á¦ÇÑ¿¡ ´ëÇÑ ½Ç½Ã°£ Çǵå¹éÀ» ¾ò±â À§ÇØ Ä¡·á Áֱ⠵¿¾È ePRO ¸ðµâÀ» ¿Ï·áÇÏ´Â °ÍÀÌ ÀÏ»óÈ­µÇ¾î ÀÖ½À´Ï´Ù. ÀÌ µ¥ÀÌÅÍ´Â ÀÚµ¿À¸·Î EHR¿¡ ÀԷµǸç, Á¾¾ç Àü¹®ÀÇ´Â Áõ»óÀÌ ÅëÁ¦ÇÒ ¼ö ¾øÀ» Á¤µµ·Î ¾ÇÈ­µÇ±â Àü¿¡ Ä¡·á ¿ä¹ý°ú ÁöÁö¿ä¹ý Àü·«À» Á¶Á¤ÇÒ ¼ö ÀÖ½À´Ï´Ù. ¸¶Âù°¡Áö·Î ÇൿÀÇÇРŬ¸®´Ð¿¡¼­´Â ¿Ü·¡ ȯÀÚÀÇ ±âºÐ ÃßÀû, ºÒ¾È °Ë»ç, Ä¡·á ¹ÝÀÀ Æò°¡¸¦ À§ÇØ ePRO¸¦ »ç¿ëÇϰí ÀÖ½À´Ï´Ù.

ÁöºÒÀÚ¿Í ÀÇ·á º¸Çè»çµéÀº µðÁöÅÐ Çコ »ýÅÂ°è ³»¿¡¼­ ePRO¸¦ ÅëÇÕÇÏ¿© À§Çè °èÃþÈ­ ¹× ¸¸¼ºÁúȯ °ü¸®¸¦ Áö¿øÇϱâ À§ÇØ µðÁöÅÐ Çコ »ýŰ賻 ePRO ÅëÇÕÀ» °í·ÁÇϱ⠽ÃÀÛÇß½À´Ï´Ù. ¿¹¸¦ µé¾î ¸ÞµðÄÉ¾î ¾îµå¹êƼÁö Ç÷£(Medicare Advantage Plan)Àº COPD ¹× ´ç´¢º´°ú °°Àº Áúȯ¿¡ ´ëÇØ PRO Á¡¼ö¸¦ Æò°¡ÇÏ¿© Áø·á Á¶Á¤ Áöħ ¹× ¿¹¹æ Çൿ¿¡ ´ëÇÑ Àμ¾Æ¼ºê¸¦ Á¦°øÇϰíÀÚ ÇÕ´Ï´Ù. ÇÑÆí, ȯÀÚ ¿ËÈ£ ´Üü¿Í ºñ¿µ¸® ¿¬±¸ ±â°üµéÀº ¿ÀǼҽº ePRO ÅøÀ» äÅÃÇÏ¿© ȯÀÚ Áß½ÉÀÇ Áõ°Å¿¡ ´ëÇÑ Á¢±ÙÀ» ¹ÎÁÖÈ­Çϰí ÀÖ½À´Ï´Ù.

¼¼°è ePRO ½ÃÀå È®´ëÀÇ ¿øµ¿·ÂÀº?

ÀüÀÚ È¯ÀÚ º¸°í °á°ú(ePRO) ½ÃÀåÀÇ ¼ºÀåÀº ºÐ»êÇü ÀÓ»ó½ÃÇèÀ¸·ÎÀÇ Àüȯ, ȯÀÚ Á᫐ ÀÇ·á ¼­ºñ½º Á¦°ø¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡, µðÁöÅÐ ¿£µåÆ÷ÀÎÆ®¸¦ Áö¿øÇÏ´Â ±ÔÁ¦ Àǹ«È­, ½ÅÈï °æÁ¦±Ç¿¡¼­ µðÁöÅÐ ÀÇ·á ÀÎÇÁ¶ó¿¡ ´ëÇÑ ÅõÀÚ Áõ°¡ µî ¿©·¯ ¿äÀο¡ ÀÇÇØ ÁÖµµµÇ°í ÀÖ½À´Ï´Ù.

COVID-19 ÆÒµ¥¹Í ±â°£ Áß ±ÞÁõÇÑ ºÐ»êÇü ÀÓ»ó½ÃÇè ¸ðµ¨Àº ¿ø°ÝÁö ȯÀÚ Âü¿©¿Í µ¥ÀÌÅÍ ¼öÁý¿¡ ÀÖÀ¸¸ç, ePROÀÇ ¿ªÇÒÀ» È®°íÈ÷ Çß½À´Ï´Ù. Á¦¾à»çµéÀº ÀÌÁ¦ »çÀÌÆ® ÀÇÁ¸¼ºÀ» ÃÖ¼ÒÈ­Çϸ鼭 ´ÙÁö¿ª, ´Ù±¹¾î µ¥ÀÌÅÍ ¼öÁýÀ» Áö¿øÇÏ´Â ÅøÀ» ã°í ÀÖ½À´Ï´Ù. ÀÌ·Î ÀÎÇØ Ç÷§ÆûÀÇ ºü¸¥ Çõ½Å°ú ¼¼°è º¥´õÀÇ È®ÀåÀÌ ÀϾ°í ÀÖ½À´Ï´Ù. ¶ÇÇÑ º´¿ø ½Ã½ºÅÛÀÇ ÇÏÀ̺긮µå Áø·á ¸ðµ¨Àº µðÁöÅÐ ÅøÀÌ ´ë¸é Áø·á¸¦ º¸¿ÏÇÒ ¼ö ÀÖµµ·Ï ¿ä±¸Çϰí ÀÖÀ¸¸ç, ºñµ¿±â½Ä ȯÀÚ Á᫐ Áõ»ó º¸°í¿¡ ´ëÇÑ Áö¼ÓÀûÀÎ ¼ö¿ä¸¦ âÃâÇϰí ÀÖ½À´Ï´Ù.

±ÔÁ¦ ´ç±¹Àº ½ÂÀÎ °úÁ¤¿¡¼­ ȯÀÚ º¸°í °á°úÀÇ »ç¿ëÀ» Àå·ÁÇÔÀ¸·Î½á Ã˸ÅÁ¦ ¿ªÇÒÀ» Çϰí ÀÖÀ¸¸ç, FDA´Â ePRO¸¦ Æ÷ÇÔÇÑ ÀÓ»ó °á°ú Æò°¡¸¦ ¿£µåÆ÷ÀÎÆ® °èÃþ ±¸Á¶¿¡ ÅëÇÕÇÏ´Â ÁöħÀ» Á¦½ÃÇϰí, R&D ÆÀÀÌ ½ÃÇè ¼³°è Ãʱ⿡ µðÁöÅÐ PRO µ¥ÀÌÅ͸¦ Æ÷ÇÔÇϵµ·Ï ±ÇÀåÇϰí ÀÖ½À´Ï´Ù. Æ÷ÇÔÇϵµ·Ï ±Ç°íÇϰí ÀÖ½À´Ï´Ù. ƯÈ÷ °¡Ä¡ ±â¹Ý Áø·á ¹× ¿ø°Ý ȯÀÚ ¸ð´ÏÅ͸µ Äڵ忡 µû¶ó µðÁöÅÐ Âü¿©¸¦ Áö¿øÇϱâ À§ÇÑ º¸»ó ü°èµµ ÁøÈ­Çϰí ÀÖ½À´Ï´Ù.

½ÅÈï ½ÃÀå¿¡¼­´Â µðÁöÅÐ ¸®ÅÍ·¯½Ã, ¸ð¹ÙÀÏ º¸±Þ, Ŭ¶ó¿ìµå Á¢±Ù¼ºÀÌ »õ·Î¿î ½ÃÀåÀ» °³¹ßÇϰí ÀÖ½À´Ï´Ù. ¾Æ½Ã¾ÆÅÂÆò¾ç, ¶óƾ¾Æ¸Þ¸®Ä«, ¾ÆÇÁ¸®Ä«ÀÇ °¢±¹ Á¤ºÎ´Â ÀÓ»êºÎ °ü¸®, °áÇÙ, HIV¿¡ ÃÊÁ¡À» ¸ÂÃá ePRO ±â¹Ý Áö¿ª ÀÇ·á ÇÁ·Î±×·¥À» ½Ã¹üÀûÀ¸·Î ½ÃÇàÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ±¸»óÀº ¸ð¹ÙÀÏ ÅøÀ» ÅëÇØ Áö¿ª Áֹε鿡°Ô ±ÇÇÑÀ» ºÎ¿©Çϸ鼭 ÀÓ»ó µ¥ÀÌÅÍÀÇ °ÝÂ÷¸¦ ÇØ¼ÒÇÏ´Â °ÍÀ» ¸ñÇ¥·Î Çϰí ÀÖ½À´Ï´Ù. Çϵå¿þ¾î ºñ¿ëÀÇ Ç϶ô°ú ¿ÀǼҽº ¼ÒÇÁÆ®¿þ¾î »ýŰè¿Í ÇÔ²² ÀÌ·¯ÇÑ ¹ÎÁÖÈ­ Ãß¼¼´Â ePRO ½ÃÀåÀ» ±âÁ¸ Á¦¾à»ç ¹× º´¿ø ±â¹Ý ÀÌ»óÀ¸·Î È®´ëÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

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Global Electronic Patient-Reported Outcomes Market to Reach US$2.2 Billion by 2030

The global market for Electronic Patient-Reported Outcomes estimated at US$953.7 Million in the year 2024, is expected to reach US$2.2 Billion by 2030, growing at a CAGR of 14.7% over the analysis period 2024-2030. Cloud Based, one of the segments analyzed in the report, is expected to record a 13.4% CAGR and reach US$1.4 Billion by the end of the analysis period. Growth in the On-Premise segment is estimated at 17.5% CAGR over the analysis period.

The U.S. Market is Estimated at US$259.8 Million While China is Forecast to Grow at 19.3% CAGR

The Electronic Patient-Reported Outcomes market in the U.S. is estimated at US$259.8 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$462.4 Million by the year 2030 trailing a CAGR of 19.3% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 10.9% and 13.1% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 11.6% CAGR.

Global Electronic Patient-Reported Outcomes (ePRO) Market - Key Trends & Drivers Summarized

Why Are Electronic Patient-Reported Outcomes Revolutionizing Clinical Research and Care Models?

The shift toward electronic patient-reported outcomes (ePRO) represents a transformative pivot in how healthcare data is captured, validated, and integrated across the clinical research and care continuum. ePRO solutions digitize the collection of patient-generated health data, enabling real-time, remote capture of symptoms, treatment responses, quality of life indicators, and more-all directly from the patient without clinician interpretation. This move away from paper-based methods addresses long-standing inefficiencies including transcription errors, incomplete data, and lag times between entry and analysis.

Clinical trials are increasingly incorporating ePRO systems to meet regulatory demands for high-integrity data and patient-centric endpoints. Unlike traditional methods, ePROs facilitate timestamped, geolocated, and audit-trailed entries, reducing recall bias and enhancing data granularity. As the FDA and EMA continue advocating for real-world evidence and patient-centric approaches in regulatory submissions, the adoption of ePRO platforms is becoming a non-negotiable asset in modern drug development pipelines. Pharmaceutical sponsors and CROs are standardizing ePRO modules across trial phases to streamline multi-site data collection, especially in decentralized and hybrid clinical trials.

In chronic care and post-marketing surveillance, ePROs are being adopted to improve symptom tracking, medication adherence, and quality of life monitoring. Real-time insights into patient-reported fatigue, pain, or mood enable physicians to intervene sooner and personalize care strategies. The pandemic significantly accelerated this shift, normalizing digital health engagement and remote monitoring tools as acceptable standards of care. Health systems now recognize the value of integrating ePROs into electronic health records (EHRs) to enrich longitudinal datasets and enable more predictive, population-level insights.

How Are Technology and Integration Standards Driving Market Sophistication?

The ePRO landscape is being shaped by rapidly advancing technologies in mobile computing, cloud infrastructure, and interoperability frameworks. Contemporary ePRO solutions are increasingly device-agnostic and accessible via smartphones, tablets, and wearables, with support for offline data capture and multi-language localization. These platforms integrate seamlessly with patient portals, EHR systems, and electronic clinical outcome assessments (eCOA) suites, enabling end-to-end digital workflows from consent to compliance tracking.

Interoperability remains central to ePRO adoption. HL7 FHIR (Fast Healthcare Interoperability Resources) standards are being leveraged to integrate ePRO data into clinical care pathways and research databases. Leading providers are offering APIs for seamless data exchange with EDC (electronic data capture) systems, analytics dashboards, and AI engines. These integrations not only reduce manual data migration but also support real-time decision-making across care teams and study monitors.

Security and compliance are evolving in parallel. HIPAA, GDPR, and 21 CFR Part 11 compliance are table stakes for ePRO vendors. Solutions are now built with end-to-end encryption, biometric authentication, and automated audit logging to meet global regulatory requirements. Furthermore, the emergence of AI-enabled data validation, sentiment analysis, and natural language processing is expanding the capabilities of ePROs beyond structured surveys, allowing for the capture of unstructured symptom narratives and free-text diary entries-enhancing patient voice fidelity across settings.

Which End-User Segments and Therapeutic Areas Are Leading ePRO Utilization?

Pharmaceutical and biotechnology companies constitute the largest adopters of ePRO solutions, particularly in late-phase and post-approval clinical trials. Oncology, immunology, and neurology are at the forefront, as these domains require nuanced, patient-experienced symptom tracking that traditional clinician assessments often fail to capture. Trials for multiple sclerosis, depression, and rheumatoid arthritis increasingly rely on ePROs to monitor fatigue, pain intensity, and emotional wellbeing on a continuous basis.

Hospitals, specialty clinics, and academic research institutions are following suit, especially as value-based care mandates grow. In oncology centers, for instance, patients are now routinely completing ePRO modules between treatment cycles to capture real-time feedback on nausea, sleep quality, and functional limitations. This data is automatically ingested into EHRs, enabling oncologists to adjust regimens or supportive care strategies before symptoms become unmanageable. Similarly, behavioral health clinics use ePROs for mood tracking, anxiety screening, and therapy response evaluation in outpatient settings.

Payors and health plans are beginning to explore ePRO integration within digital health ecosystems to stratify risk and support chronic disease management. For example, Medicare Advantage plans are evaluating PRO scores for conditions like COPD and diabetes to guide care coordination and incentivize preventive actions. Meanwhile, patient advocacy groups and nonprofit research organizations are adopting open-source ePRO tools to democratize access to patient-centric evidence, particularly in underrepresented or rare disease communities.

What Forces Are Fueling the Expansion of the ePRO Market Worldwide?

The growth in the electronic patient-reported outcomes (ePRO) market is driven by several factors including the global shift to decentralized clinical trials, rising demand for patient-centric care delivery, regulatory mandates favoring digital endpoints, and increasing investments in digital health infrastructure across emerging economies.

Decentralized clinical trial models, which surged during the COVID-19 pandemic, have cemented the role of ePROs in remote patient engagement and data collection. Pharmaceutical companies now demand tools that support multi-geography, multi-language data capture with minimal site dependency. This has triggered rapid platform innovation and global vendor expansion. Furthermore, hybrid care models in hospital systems are requiring that digital tools complement in-person visits, creating permanent demand for asynchronous, patient-initiated symptom reporting.

Regulatory agencies are playing a catalytic role by incentivizing the use of patient-reported outcomes in approval processes. The FDA’s guidance on incorporating clinical outcome assessments, including ePROs, in endpoint hierarchies has spurred R&D teams to include digital PRO data early in trial design. Reimbursement frameworks are also evolving to support digital engagement, especially under value-based care and remote patient monitoring codes.

Digital literacy, mobile penetration, and cloud access in developing regions are unlocking new markets. Governments in Asia-Pacific, Latin America, and Africa are piloting ePRO-based community health programs focused on maternal care, tuberculosis, and HIV. These initiatives aim to fill clinical data gaps while empowering local populations with mobile tools. Combined with decreasing hardware costs and open-source software ecosystems, this democratization trend is expected to expand the ePRO market well beyond its traditional pharmaceutical and hospital base.

SCOPE OF STUDY:

The report analyzes the Electronic Patient-Reported Outcomes market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Delivery Mode (Cloud Based, On-Premise); Application (Oncology Application, Respiratory Application); End-Use (Contract Research Organizations End-Use, Pharmaceutical Companies End-Use)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.

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TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

III. MARKET ANALYSIS

IV. COMPETITION

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