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人工智能(AI)诊断系统的经济评估:来自HosmartAI地平线2020项目的在心脏病学、妇产科学和胃肠病学中测试的临床医生友好型可解释计算机辅助诊断(ICADX)的成本后果分析

Economic Evaluation of Artificially Intelligent (AI) Diagnostic Systems: Cost Consequence Analysis of Clinician-Friendly Interpretable Computer-Aided Diagnosis (ICADX) Tested in Cardiology, Obstetrics, and Gastroenterology, from the HosmartAI Horizon 2020 Project.

作者信息

Chatzikou Magda, Latsou Dimitra, Apostolidis Georgios, Billis Antonios, Charisis Vasileios, Rigas Emmanouil S, Bamidis Panagiotis D, Hadjileontiadis Leontios

机构信息

Pharmecons Easy Access Ltd., York YO31 0AA, UK.

Signal Processing & Biomedical Technology Unit, Department of Electrical & Computer Engineering, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.

出版信息

Healthcare (Basel). 2025 Jul 10;13(14):1661. doi: 10.3390/healthcare13141661.

DOI:10.3390/healthcare13141661
PMID:40724686
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12295978/
Abstract

: This study evaluates the economic impact of digital health interventions (DHIs) developed under the HosmartAI EU-funded program, focusing on obstetrics, cardiology, and gastroenterology. : A Cost Consequence Analysis (CCA) was chosen in order to be able to examine the costs and consequences of AI technologies in early diagnosis of preterm births, echocardiography, coronary computed tomography angiography (CCTA), and capsule endoscopy (CE). : The results show that in obstetrics and CCTA, the AI technologies are cost-saving, with the AI-based preterm birth detection leading to savings of 99,840 EUR due to reduced severity of prematurity. In the echocardiography scenario, the new AI technology slightly increased costs (9409 vs. 2116 EUR), but offered benefits in diagnostic accuracy and shorter interpretation duration, particularly for less experienced physicians. Similarly, the capsule endoscopy AI technology raised annual costs by 6626 EUR but improved productivity, accuracy, and user satisfaction. : The findings emphasize the need for standardized frameworks to guide economic evaluations of DHIs, ensuring informed healthcare investment and reimbursement decisions in the future.

摘要

本研究评估了在欧盟资助的HosmartAI项目下开发的数字健康干预措施(DHI)的经济影响,重点关注产科、心脏病学和胃肠病学。为了能够研究人工智能技术在早产早期诊断、超声心动图、冠状动脉计算机断层扫描血管造影(CCTA)和胶囊内镜检查(CE)中的成本和后果,选择了成本后果分析(CCA)。结果表明,在产科和CCTA中,人工智能技术具有成本节约效果,基于人工智能的早产检测由于早产严重程度降低节省了99,840欧元。在超声心动图场景中,新的人工智能技术略微增加了成本(9409欧元对2116欧元),但在诊断准确性和缩短解读时间方面具有优势,尤其是对经验较少的医生。同样,胶囊内镜人工智能技术使年度成本增加了6626欧元,但提高了生产力、准确性和用户满意度。研究结果强调需要标准化框架来指导数字健康干预措施的经济评估,以确保未来医疗保健投资和报销决策的明智性。

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本文引用的文献

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J Gastroenterol Hepatol. 2025 May;40(5):1105-1118. doi: 10.1111/jgh.16931. Epub 2025 Mar 13.
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Health Care Professionals' Experience of Using AI: Systematic Review With Narrative Synthesis.医疗保健专业人员使用人工智能的体验:系统评价与叙事综合。
J Med Internet Res. 2024 Oct 30;26:e55766. doi: 10.2196/55766.
3
A web-based platform for studying the impact of artificial intelligence in video capsule endoscopy.基于网络的平台,用于研究人工智能在视频胶囊内窥镜检查中的影响。
Health Informatics J. 2024 Oct-Dec;30(4):14604582241296072. doi: 10.1177/14604582241296072.
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Unlocking the Value: Quantifying the Return on Investment of Hospital Artificial Intelligence.释放价值:量化医院人工智能的投资回报率
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