Stratistics MRC¿¡ µû¸£¸é, ¼¼°è ÀÓ»óÀÇ»ç°áÁ¤Áö¿ø½Ã½ºÅÛ ½ÃÀåÀº 2023³â 17¾ï ´Þ·¯ ±Ô¸ðÀ̸ç, ¿¹Ãø ±â°£ µ¿¾È 9.5%ÀÇ CAGR·Î ¼ºÀåÇÏ¿© 2030³â¿¡´Â 32¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.
ÀÓ»óÀÇ»ç°áÁ¤Áö¿ø½Ã½ºÅÛ(CDSS)Àº ÀÇ·á ½ÃÁ¡¿¡ °ü·Ã Á¤º¸¿Í Áö½ÄÀ» Á¦°øÇÏ¿© ÀÇ·áÁøÀÇ ÀÓ»óÀû ÆÇ´ÜÀ» Áö¿øÇϱâ À§ÇØ ¼³°èµÈ ÄÄÇ»ÅÍ ±â¹Ý µµ±¸ ¶Ç´Â ¼ÒÇÁÆ®¿þ¾îÀÔ´Ï´Ù. ÀÌ·¯ÇÑ ½Ã½ºÅÛÀº ȯÀÚ µ¥ÀÌÅÍ, ÀÇ·á Áö½Ä ¹× ¸ð¹ü »ç·Ê¸¦ ÅëÇÕÇÏ¿© ȯÀÚÀÇ Áø´Ü, Ä¡·á ¹× °ü¸®¸¦ Áö¿øÇϱâ À§ÇØ ±ÇÀå »çÇ×, ¾Ë¸² ¹× °æ°í¸¦ Á¦°øÇÕ´Ï´Ù. ±× ¸ñÀûÀº ÀÇ·á °á°ú¸¦ °³¼±Çϰí, ȯÀÚÀÇ ¾ÈÀüÀ» Çâ»ó½Ã۰í, ÀÓ»óÀǰ¡ ´õ ¸¹Àº Á¤º¸¿¡ ÀÔ°¢ÇÑ È¿À²ÀûÀÎ Ä¡·á¸¦ Á¦°øÇÒ ¼ö ÀÖµµ·Ï Áö¿øÇÏ´Â °ÍÀÔ´Ï´Ù.
The Office of the National Coordinator for Health Information Technology(ONC)¿¡ µû¸£¸é, 2021³â ÇöÀç ¹Ì±¹ ³» ºñ¿¬¹æ ±Þ¼º±â º´¿øÀÇ ¾à 96%, ±Ù¹« ÀÇ»ç 5¸í Áß 4¸í(78%)ÀÌ ÀÎÁõµÈ ÀüÀڰǰ±â·Ï(EHR) ½Ã½ºÅÛÀ» µµÀÔÇÑ °ÍÀ¸·Î ³ªÅ¸³µ½À´Ï´Ù. EHR ½Ã½ºÅÛÀ» µµÀÔÇϰí ÀÖ½À´Ï´Ù.
°íǰÁú ÀǷἺñ½º¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡
¿ì¼öÇÑ ÀÇ·á ¼ºñ½º Á¦°ø¿¡ ´ëÇÑ Á߿伺ÀÌ °Á¶µÇ¸é¼ ½ÃÀå ¼ö¿ä°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ÀÇ·áÀÇ º¹À⼺ÀÌ Áõ°¡ÇÔ¿¡ µû¶ó CDSS´Â ÀÓ»óÀǰ¡ Á¤º¸¿¡ ÀÔ°¢ÇÑ ÀÇ»ç°áÁ¤À» ³»¸®°í, ȯÀÚ °á°ú¸¦ °³¼±Çϰí, ½Ç¼ö¸¦ ÁÙÀÌ´Â µ¥ Áß¿äÇÑ ¼Ö·ç¼ÇÀ¸·Î ºÎ»óÇϰí ÀÖ½À´Ï´Ù. ½ÃÀå È®´ë´Â ÀÇ·á ½Ã½ºÅÛ ³» ÷´Ü ±â¼ú ÅëÇÕ¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡¸¦ ¹Ý¿µÇϸç, È¿À²ÀûÀÎ µ¥ÀÌÅÍ ºÐ¼®, °³ÀÎÈµÈ È¯ÀÚ °ü¸®, °£¼ÒÈµÈ ÀÇ»ç°áÁ¤ °úÁ¤À» ÅëÇØ ´õ ³ôÀº ¼öÁØÀÇ ÀÇ·á ¼ºñ½º¸¦ Á¦°øÇÒ ¼ö ÀÖµµ·Ï Áö¿øÇÕ´Ï´Ù.
µ¥ÀÌÅÍÀÇ Ç°Áú°ú Á¢±Ù¼º
ÀÌ ½ÃÀå¿¡¼´Â ÃÖÀûÀÇ ½Ã½ºÅÛ ±â´ÉÀ» º¸ÀåÇϱâ À§ÇØ µ¥ÀÌÅÍÀÇ Á¤È®¼º, ¹«°á¼º, Á¢±Ù¼ºÀ» Çâ»ó½ÃŰ´Â °ÍÀÌ Ç×»ó °Á¶µÇ°í ÀÖ½À´Ï´Ù. ¿©±â¿¡´Â ´Ù¾çÇÑ µ¥ÀÌÅÍ ¼Ò½ºÀÇ ÅëÇÕ, °ß°íÇÑ °ËÁõ ÇÁ·Î¼¼½º µµÀÔ, ¿øÈ°ÇÑ Á¤º¸ ±³È¯À» À§ÇÑ »óÈ£¿î¿ë¼º ¿ì¼±¼øÀ§ µîÀÌ Æ÷ÇԵ˴ϴÙ. µ¥ÀÌÅÍ Ç°Áú°ú Á¢±Ù¼ºÀ» Áß½ÃÇÏ´Â °ÍÀº ÀÇ·á Àü¹®°¡°¡ ½Å·ÚÇÒ ¼ö ÀÖ°í, Á¤º¸¿¡ ÀÔ°¢ÇÑ Á¤È®ÇÑ ÀÓ»óÀû ÆÇ´ÜÀ» ³»¸± ¼ö ÀÖµµ·Ï ÇÏ´Â µ¥ ÀÖ¾î ¸Å¿ì Áß¿äÇÑ ¿ªÇÒÀ» ÇÕ´Ï´Ù. ÀÌ·¯ÇÑ ¿ä¼ÒµéÀÌ ½ÃÀå ¼ºÀåÀ» ¾ïÁ¦ÇÏ´Â ¿äÀÎÀ¸·Î ÀÛ¿ëÇϰí ÀÖ½À´Ï´Ù.
µ¥ÀÌÅÍ °¡¿ë¼º Áõ´ë
ÀÇ·á ±â¼ú, »óÈ£¿î¿ë¼º Ç¥ÁØ, µðÁöÅÐ ÀÇ·á ±â·ÏÀÇ ¹ßÀüÀ¸·Î µ¥ÀÌÅÍ °¡¿ë¼ºÀÌ ±ÞÁõÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ À¯ÀÔÀº °Ô³ð Á¤º¸, ½Ç½Ã°£ ¸ð´ÏÅ͸µ, Á¾ÇÕÀûÀÎ º´·Â µî ´Ù¾çÇÑ È¯ÀÚ µ¥ÀÌÅ͸¦ Æ÷ÇÔÇϰí ÀÖ½À´Ï´Ù. µ¥ÀÌÅÍ¿¡ ´ëÇÑ Á¢±Ù¼ºÀÌ ³ô¾ÆÁü¿¡ µû¶ó ÀÌ·¯ÇÑ ½Ã½ºÅÛÀº º¸´Ù Á¤È®ÇÏ°í °³ÀÎÈµÈ ÃßõÀ» Á¦°øÇÒ ¼ö ÀÖ°Ô µÇ¾úÀ¸¸ç, ÀÓ»ó ÀÇ»ç°áÁ¤ °úÁ¤ÀÇ È¿À²¼º°ú Á¤È®¼ºÀ» ³ôÀ̰í ÀÇ·á °á°ú¿Í Ä¡·á Àü·«À» °³¼±ÇÒ ¼ö ÀÖ°Ô µÇ¾ú½À´Ï´Ù.
ºñ¿ë ¹× ¸®¼Ò½º Á¦¾à
°³¹ß¿¡´Â ÷´Ü ±â¼ú, ¼÷·ÃµÈ ÀηÂ, ¹æ´ëÇÑ ÀÓ»ó µ¥ÀÌÅÍ¿¡ ´ëÇÑ ¸·´ëÇÑ ÅõÀÚ°¡ ÇÊ¿äÇÕ´Ï´Ù. µµÀÔ¿¡´Â Ä¿½ºÅ͸¶ÀÌ¡, ±âÁ¸ ÀÇ·á ½Ã½ºÅÛ°úÀÇ ÅëÇÕ, Áö¼ÓÀûÀÎ À¯Áöº¸¼ö µîÀÇ ºñ¿ëÀÌ ¹ß»ýÇÕ´Ï´Ù. ¾çÁúÀÇ µ¥ÀÌÅÍ¿¡ ´ëÇÑ Á¢±Ù°ú ¾Ë°í¸®Áò °³¹ß Àü¹®¼ºÀ» Æ÷ÇÔÇÑ ¸®¼Ò½º Á¦¾àÀº CDSSÀÇ È®À强°ú Çõ½ÅÀ» ÀúÇØÇÏ´Â ¿äÀÎÀÔ´Ï´Ù. ºñ¿ë È¿À²¼º°ú ÃÖÀûÀÇ ±â´ÉÀÇ ±ÕÇüÀ» ¸ÂÃß´Â °ÍÀº ÀÌ ½ÃÀå¿¡¼ Å« Àå¾Ö¹°ÀÌ µÇ°í ÀÖ½À´Ï´Ù.
COVID-19ÀÇ ÆÒµ¥¹ÍÀº Àü ¼¼°èÀûÀ¸·Î ÀÓ»óÆÇ´ÜÁö¿ø½Ã½ºÅÛ(CDSS)ÀÇ µµÀÔ°ú °³¹ßÀ» Å©°Ô °¡¼ÓÈÇß½À´Ï´Ù. ¿ø°ÝÀÇ·á ¹× ¿ø°ÝÀÇ·á ¼ºñ½º¿¡ ´ëÇÑ ÀÇÁ¸µµ°¡ ³ô¾ÆÁü¿¡ µû¶ó ÷´Ü CDSS¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡ÇÏ¿© ½ÃÀå ¼ºÀåÀ» ÃËÁøÇß½À´Ï´Ù. ÀÌ·¯ÇÑ ½Ã½ºÅÛÀº ÀÇ·á Àü¹®°¡°¡ ȯÀÚ µ¥ÀÌÅ͸¦ °ü¸®Çϰí, Áø´Ü Á¤È®µµ¸¦ ³ôÀ̸ç, Ä¡·á °èȹÀ» ÃÖÀûÈÇÏ´Â µ¥ µµ¿òÀ» ÁÝ´Ï´Ù. COVID-19´Â È¿À²ÀûÀÎ µ¥ÀÌÅÍ ±â¹Ý ÇコÄÉ¾î ¼Ö·ç¼ÇÀÇ Á߿伺À» ºÎ°¢½ÃÄ×°í, ÀÌ ºÐ¾ßÀÇ ½ÃÀå È®´ë¿Í ±â¼ú Çõ½ÅÀ» À̲ø¾ú½À´Ï´Ù.
¿¹Ãø ±â°£ µ¿¾È »óÈ£ ¿î¿ë °¡´ÉÇÑ ½Ã½ºÅÛ ºÐ¾ß°¡ °¡Àå Ŭ °ÍÀ¸·Î ¿¹»ó
»óÈ£¿î¿ë °¡´ÉÇÑ ½Ã½ºÅÛ ºÐ¾ß´Â ¿¹Ãø ±â°£ µ¿¾È °¡Àå Å« ½ÃÀåÀÌ µÉ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ÀÌ·¯ÇÑ ½Ã½ºÅÛÀº ȣȯ¼ºÀ» ¿ì¼±½ÃÇÏ¿© ´Ù¾çÇÑ ÀÇ·á ¼ÒÇÁÆ®¿þ¾î°¡ È¿°úÀûÀ¸·Î Åë½ÅÇÒ ¼ö ÀÖµµ·Ï ÇÕ´Ï´Ù. »óÈ£ ¿î¿ë¼ºÀº ȯÀÚ Á¤º¸ÀÇ ¿øÈ°ÇÑ ±³È¯À» º¸ÀåÇϰí ÀÓ»ó ÀÇ»ç °áÁ¤ÀÇ Á¤È®¼º°ú È¿À²¼ºÀ» ³ôÀÔ´Ï´Ù. ½ÃÀå µ¿ÇâÀº ´Ù¾çÇÑ ÀÇ·á ±â¼ú°ú »óÈ£ ¿¬°áµÉ ¼ö ÀÖ´Â CDSS ¼Ö·ç¼Ç¿¡ ÃÊÁ¡À» ¸ÂÃß°í ÀÖÀ¸¸ç, Á¤º¸¿¡ ÀÔ°¢ÇÑ ÀÇ·á °³ÀÔÀ» À§ÇÑ µ¥ÀÌÅÍ È°¿ëÀ» ÃÖÀûÈÇϰí ÀÖ½À´Ï´Ù.
¿¹Ãø ±â°£ µ¿¾È °¡Àå ³ôÀº CAGRÀ» ±â·ÏÇÒ °ÍÀ¸·Î ¿¹»óµÇ´Â ¾à¹° ¾Ë·¹¸£±â °æ°í ºÎ¹®
¾à¹° ¾Ë·¹¸£±â °æº¸ ºÐ¾ß´Â ¿¹Ãø ±â°£ µ¿¾È °¡Àå ³ôÀº CAGRÀ» º¸ÀÏ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ÀÌ·¯ÇÑ ½Ã½ºÅÛÀÇ ÁÖ¿ä ÀåÁ¡ Áß Çϳª´Â ¸¹Àº »ç¶÷µéÀÌ Æ¯Á¤ ¾à¹°¿¡ ¾Ë·¹¸£±â°¡ Àֱ⠶§¹®¿¡ ¾Ë·¹¸£±â °æ°í¸¦ Àü´ÞÇÏ´Â ±â´ÉÀÌ Á¡Á¡ ´õ Áß¿äÇØÁö°í ÀÖ´Ù´Â °ÍÀÔ´Ï´Ù. ¾à¹° ¾Ë·¹¸£±â¸¦ °æÇèÇϴ ȯÀÚÀÇ ¼ö°¡ Áõ°¡ÇÏ´Â Ãß¼¼ÀÔ´Ï´Ù. ±× °á°ú ¾à¹°À» Åõ¿©¹ÞÀº ȯÀÚ¿¡°Ô ºÎÁ¤ÀûÀÎ ¿µÇâÀ» ¹ÌÄ¡°í ȯÀÚÀÇ »ç·Ê¸¦ ´õ¿í ¾ÇȽÃų ¼ö ÀÖ½À´Ï´Ù.
ºÏ¹Ì Áö¿ªÀº ÀÇ·á »ê¾÷¿¡¼ Á¤º¸ ±â¼ú ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡ÇÔ¿¡ µû¶ó ¿¹Ãø ±â°£ µ¿¾È °¡Àå Å« ½ÃÀå Á¡À¯À²À» Â÷ÁöÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ¾çÁúÀÇ ÀÇ·á ¼ºñ½º Á¦°øÀÇ Á߿伺ÀÌ ³ô¾ÆÁö°í ÀÖÀ¸¸ç, ±Þ¼ÓÇÑ ±â¼ú ¹ßÀüµµ ÀÌ Áö¿ªÀÇ ½ÃÀå ¼ºÀå¿¡ ±â¿©Çϰí ÀÖ½À´Ï´Ù. ÀÌ Áö¿ªÀÇ ½ÃÀå È®´ë´Â ±â¼úÀÇ ±Þ¼ÓÇÑ ¹ßÀü°ú °íǰÁú ÀÇ·á ¼ºñ½º Á¦°øÀÇ Á߿伺 Áõ°¡·Î ÀÎÇØ ÃËÁøµÇ°í ÀÖ½À´Ï´Ù.
¾Æ½Ã¾ÆÅÂÆò¾çÀº ÁÖ¿ä±¹ Á¤ºÎÀÇ R&D ÁöÃâ Áõ°¡·Î ÀÎÇØ ¿¹Ãø ±â°£ µ¿¾È °¡Àå ³ôÀº CAGRÀ» À¯ÁöÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. Àεµ, Áß±¹, ÀϺ», È£ÁÖ µî ¿©·¯ ±¹°¡¿¡¼ ÇコÄÉ¾î ºÐ¾ß¿¡ ´ëÇÑ ÅõÀÚ°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. R&D ±â¼ú Çâ»ó°ú ÀÌ ºÐ¾ß¿¡ ´ëÇÑ Á¤ºÎÀÇ ÁöÃâ ¹× ÅõÀÚ·Î ÀÎÇØ ÀÇ·á »ê¾÷¿¡¼ Á¤º¸ ±â¼úÀÇ º¸±ÞÀÌ Áõ°¡Çϰí ÀÖ½À´Ï´Ù.
According to Stratistics MRC, the Global Clinical Decision Support Systems Market is accounted for $1.7 billion in 2023 and is expected to reach $3.2 billion by 2030 growing at a CAGR of 9.5% during the forecast period. Clinical Decision Support Systems (CDSS) are computer-based tools or software designed to assist healthcare professionals in making clinical decisions by providing relevant information and knowledge at the point of care. These systems integrate patient data, medical knowledge, and best practices to offer recommendations, reminders, or alerts to aid in diagnosis, treatment, and management of patients. The goal is to improve healthcare outcomes, enhance patient safety, and support clinicians in delivering more informed and efficient care.
According to The Office of the National Coordinator for Health Information Technology (ONC), as of 2021, in the US approximately 96 percent of non-federal acute care hospitals and nearly 4 in 5 office-based physicians (78%) have implemented a certified Electronic Health Record (EHR) system.
Rising demand for quality healthcare
The market experiences escalating demand owing to a growing emphasis on superior healthcare provision. As healthcare complexities rise, CDSS emerges as a critical solution, aiding clinicians in making informed decisions, improving patient outcomes, and reducing errors. The market's expansion reflects the increasing need for advanced technology integration within healthcare systems, enabling efficient data analysis, personalized patient care, and streamlined decision-making processes, fostering a higher standard of healthcare delivery.
Data quality and accessibility
The market continually emphasizes enhancing data accuracy, completeness, and accessibility to ensure optimal system functionality. This involves integrating diverse data sources, implementing robust validation processes, and prioritizing interoperability for seamless information exchange. As it evolves, emphasis on data quality and accessibility remains pivotal, fostering trust among healthcare professionals and enabling informed, precise clinical decisions. These are the factors restraining the growth of the market.
Increasing data availability
The market is witnessing a surge in data availability, catalyzed by advancements in health tech, interoperability standards, and digital health records. This influx encompasses diverse patient data, including genomic information, real-time monitoring, and comprehensive medical histories. Enhanced data accessibility empowers these systems to offer more precise, personalized recommendations, fostering improved healthcare outcomes and treatment strategies while promoting efficiency and accuracy in clinical decision-making processes.
Costs and resource constraints
Development demands substantial investment in advanced technology, skilled personnel, and extensive clinical data. Implementation incurs expenses related to customization, integration with existing healthcare systems, and ongoing maintenance. Resource limitations, including access to high-quality data and expertise in algorithm development, hinder CDSS scalability and innovation. Balancing cost-effectiveness with optimal functionality poses a significant hurdle in this market.
The COVID-19 pandemic significantly accelerated the adoption and development of Clinical Decision Support Systems (CDSS) globally. The increased reliance on telemedicine and remote healthcare services amplified the need for advanced CDSS, driving market growth. These systems aided healthcare professionals in managing patient data, improving diagnostic accuracy, and optimizing treatment plans. The pandemic highlighted the importance of efficient and data-driven healthcare solutions, leading to an expansion in the market and innovation in this sector.
The interoperable systems segment is expected to be the largest during the forecast period
The interoperable systems segment is expected to be the largest during the forecast period. These systems prioritize compatibility, enabling diverse healthcare software to communicate effectively. Interoperability ensures fluid exchange of patient information, enhancing accuracy and efficiency in clinical decision-making. The market trend emphasizes CDSS solutions that can interconnect with various healthcare technologies, optimizing data utilization for informed medical interventions.
The drug allergy alerts segment is expected to have the highest CAGR during the forecast period
The drug allergy alerts segment is expected to have the highest CAGR during the forecast period. One major benefit of these systems is that their ability to deliver allergy alerts is becoming more and more significant, as many people have allergies to particular medications. The number of patients experiencing medication allergies is on the rise. As a result, giving medication to a patient who has been given it may have negative effects and further damage the patient's case.
North America is projected to hold the largest market share during the forecast period due to the increasing demand for information technology solutions in the health care industry. There's an increased importance for providing quality healthcare and rapid technological advancements these factors help in providing for the growth of the market in this region. The market expansion in this area is also fueled by the quick development of technology and the growing significance of offering high-quality healthcare services.
Asia Pacific is projected to hold the highest CAGR over the forecast period due to increased R&D spending by governments of key nations. There are increasing investments in the healthcare sector in various countries like India China Japan and Australia. Improved research and development techniques and the expenditure and investments by the government in this field are the reasons which are helping increasing the penetration of information technology in the medical industry.
Key players in the market
Some of the key players in Clinical Decision Support Systems market include McKesson Corporation, Koninklijke Philips N.V., Cerner Corporation, Allscripts Healthcare, LLC, Siemens Healthineers GmbH, NextGen Healthcare Inc., Wolters Kluwer N.V., Agfa-Gevaert Group, Athenahealth, Inc., IBM Corporation, Change Healthcare, Meditech, Epic Systems Corporation, and Carestream.
In April 2023, Elsevier B.V. (UK) announced the launch of an upgraded version of its clinical decision support solution, ClinicalKey. This enhanced platform incorporates a comprehensive drug compendium, a cutting-edge mobile application, and seamless integration into Electronic Health Records (EHR).
In December 2022, Athenahealth (US) announced that it had released enhancements to its athenaOne EHR to facilitate immediate administration of COVID-19 vaccines. The rollout includes communications, scheduling, workflow, documentation, and reporting capabilities.
In April 2022, Change Healthcare (US) launched a new edition of InterQual 2022, the firm's flagship clinical decision support solution for delivering the latest evidence-based appropriate care.