인공지능 왓슨과 다학제 진료의 치료방법 일치율 평가 및 의료진 만족도 조사

이경아; 김찬희; 백정흠; 심선진; 안희경; 이언; 이선희

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자료유형: 학술저널

저자정보: 이경아 김찬희 백정흠 심선진 안희경 이언 이선희

저널정보: 한국보건의료기술평가학회 보건의료기술평가 보건의료기술평가 제7권 제2호

발행연도: 2019.1

수록면: 112 - 118 (7page)

이용수

📌

연구주제

📖

연구배경

🔬

연구방법

🏆

연구결과

초록· 키워드

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The purpose of this prospective study was to examine the concordance rate of diagnosis and treatment between Watson for Oncology(WFO) and multidisciplinary tumor board, and to evaluate the satisfaction of medical professionals about WFO. Methods: The subject of this study was 126 patients with cancer and 54 medical professionals who participate in WFO multidisciplinary care at Gachon University Gil Medical Center in Korea. Concordance rate between the WFO and the multidisciplinary tumor board was measured by the concurrence between the WFO presentation and the final decision of the medical staffs. Satisfaction of medical professionals was measured with a questionnaire that identifies satisfaction, intention of use, and the strengths and weaknesses of WFO. Results: In 121 cases (96.0%), the recommendation and consideration presented by WFO were consistent with the final treatment method. The overall satisfaction for WFO was 6.74±2.08 out of 10. The strength of WFO that medical staffs thought was found to be hospital publicity (4.11±0.78) and patient compliance increase (3.98±0.64). The weakness of WFO was that it did not consider ethnic and cultural differences (3.63±0.98) and that it did not reflect the health insurance cost in Korea (3.61± 0.96). Conclusion: WFO has a high concordance rate when deciding on treatment options, while there are some limitations in the reflection of national racial, regional, cultural and environmental differences and the application of patients in specific situations. It is expected to be used as a basic data for developing Korean artificial intelligence Watson model by grasping the needs and improvement of localized WFO.

참고문헌 (12)

참고문헌 신청

Choi YS / 2017 / Concepts, characteristics, and clinical validation of IBM Watson for Oncology / Hanyang Med Rev 37:49~60

biz.chosun.com

의료기기심사부 첨단의료기기과 / 2017 / 빅데이터 및 인공지능(AI) 기술이 적용된 의료기기의 허가·심사 가이드라인(민원인 안내서) / 식품의약품안전평가원 :8~9

박지연 / 2016 / 다학제 암진료의 발전방향 / 대한의사협회지 59(2):103~107

Pillay B / 2016 / The impact of multidisciplinary team meetings on patient assessment, management and outcomes in oncology settings : a systematic review of the literature / Cancer Treat Rev 42:56~72

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