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뇌졸중 분야의 다양한 소프트웨어 솔루션 개발의 경험

Development of Software Solutions for Stroke: A Personal Experience

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초록

Variety of software solutions are being used for clinical use. This special contribution focuses on the personal experience of developing several software solutions concerning stroke. Stroke119 application was developed to inform the patient of the closest hospital available for thrombolytic therapy and provides a simple three-step self-test for detection of acute stroke. A multi-center web-based registry solution named SMART DB was developed to facilitate multi-center studies. Over 650,000 records were created by 25 centers in SMART DB. An artificial intelligence-based web solution for prediction of coronary artery disease in stroke patients was developed named S2CAD. A clinical decision support platform for thrombi acquired from endovascular thrombectomy named ARIA Cloud was developed. Software for stroke is actively being developed in Korea. Software solutions are expected to increase efficiency by providing clinical decision support in the near future.

Abstract

Variety of software solutions are being used for clinical use. This special contribution focuses on the personal experience of developing several software solutions concerning stroke. Stroke119 application was developed to inform the patient of the closest hospital available for thrombolytic therapy and provides a simple three-step self-test for detection of acute stroke. A multi-center web-based registry solution named SMART DB was developed to facilitate multi-center studies. Over 650,000 records were created by 25 centers in SMART DB. An artificial intelligence-based web solution for prediction of coronary artery disease in stroke patients was developed named S2CAD. A clinical decision support platform for thrombi acquired from endovascular thrombectomy named ARIA Cloud was developed. Software for stroke is actively being developed in Korea. Software solutions are expected to increase efficiency by providing clinical decision support in the near future.

참고문헌 (21)

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관련 논문AI추천

Development of Smartphone Application That Aids Stroke Screening and Identifying Nearby Acute Stroke Care Hospitals김영대, 김진권, 남효석, 박은정, 송태진, 허준녕, 허지회연세대학교의과대학 · Yonsei Medical Journal2014 · 제55권 제1호Facilitating Stroke Management using Modern Information Technology남효석, 박은정, 허지회대한뇌졸중학회 · 대한뇌졸중영문학회지2013 · 제15권 제3호A Novel Computerized Clinical Decision Support System for Treating Thrombolysis in Patients with Acute Ischemic Stroke배희준, 서진욱, 이경복, 이준영, Chi Kyung Kim, Jaehee Ko, Jihoon Kang, Ji Sung Lee, Jong-Moo Park, Soo Joo Lee, Tai Hwan Park, Yong-Jin Cho대한뇌졸중학회 · 대한뇌졸중영문학회지2015 · 제17권 제2호뇌MRI를 대리결론변수로 하는 임상시험을 위한 병변의 뇌표준판 등록 및 정량분석 소프트웨어 개발: 예비보고강동희, 고은아, 권건한, 김동억, 김태윤, 노상미, 박경종, 정상욱, 정지원, 지명구, 최흥국, 탁윤오대한신경과학회 · 대한신경과학회지2009 · 제27권 제4호Smartphone App in Stroke Management: A Narrative Updated ReviewAdriano Bonura, Fabio Pilato, Fioravante Capone, Francesco Motolese, Gianmarco Iaccarino, Mario Ferrante, Michele Alessiani, Rosalinda Calandrelli, Vincenzo Di Lazzaro대한뇌졸중학회 · 대한뇌졸중영문학회지2022 · 제24권 제3호Interactive Direct Interhospital Transfer Network System for Acute Stroke in South Korea강지훈, 김범준, 김준엽, 배희준, 정철규, 한문구, Inyoung Chung, Jinhwi Kim대한신경과학회 · Journal of Clinical Neurology2023 · 제19권 제2호

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