Scholarlink

Background <p>Artificial intelligence (AI) is increasingly applied in emergency, critical, and perioperative medicine, yet its implementation remains limited and fragmented. Variability in digital maturity, governance, and clinical readiness continues to challenge large-scale adoption.</p> Methods <p>A multidisciplinary expert consensus was conducted to identify key priorities for the safe and effective integration of AI in high-acuity settings. The consensus process included an independent literature review, group discussion, and blinded online voting. Priorities that reached at least 70% agreement on a 9-point Likert scale were considered consensual.</p> Results <p>Three priorities reached the predefined consensus threshold:<OrderedList> <ListItem> <ItemNumber>1.</ItemNumber> <ItemContent> <p>Digitalization and sharing of healthcare data (92.3% agreement): Digitalize the Emergency, Critical, and Perioperative Department patient journey by adopting a shared standard structure for electronic medical records that is optimized for data sharing and interoperability.</p> </ItemContent> </ListItem> <ListItem> <ItemNumber>2.</ItemNumber> <ItemContent> <p>Efficacy and validation of AI models (93.4% agreement): Use only AI models that have demonstrated impact on patient outcomes, decision-making processes, or risk stratification validated through prospective studies or randomized clinical trials.</p> </ItemContent> </ListItem> <ListItem> <ItemNumber>3.</ItemNumber> <ItemContent> <p>AI education of healthcare professionals (100% agreement): Healthcare professionals must acquire a digital health literacy level appropriate for their specific role, with individuals with leadership and management roles having more in-depth knowledge.</p> </ItemContent> </ListItem> </OrderedList></p> Conclusions <p>The consensus identifies three strategic priorities to guide the integration of AI in high-acuity settings. Together, they outline a pragmatic roadmap for translating AI potential into safe and clinically meaningful practice.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Top three priorities for artificial intelligence integration into emergency, critical, and perioperative medicine: an interdisciplinary clinical expert consensus

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年11月12日

查看全文
  • Beatrice Loriga,
  • Francesco Baglivo,
  • Valentina Bellini,
  • Chiara Adembri,
  • Jonathan Montomoli,
  • Marco Cascella,
  • Giacomo Diedenhofen,
  • Luigi De Angelis,
  • Nicola Gentili,
  • Mattia Altini,
  • Antonio Pastori,
  • Raffaella Gaggeri,
  • Elena Giovanna Bignami

摘要

Background

Artificial intelligence (AI) is increasingly applied in emergency, critical, and perioperative medicine, yet its implementation remains limited and fragmented. Variability in digital maturity, governance, and clinical readiness continues to challenge large-scale adoption.

Methods

A multidisciplinary expert consensus was conducted to identify key priorities for the safe and effective integration of AI in high-acuity settings. The consensus process included an independent literature review, group discussion, and blinded online voting. Priorities that reached at least 70% agreement on a 9-point Likert scale were considered consensual.

Results

Three priorities reached the predefined consensus threshold: 1.

Digitalization and sharing of healthcare data (92.3% agreement): Digitalize the Emergency, Critical, and Perioperative Department patient journey by adopting a shared standard structure for electronic medical records that is optimized for data sharing and interoperability.

2.

Efficacy and validation of AI models (93.4% agreement): Use only AI models that have demonstrated impact on patient outcomes, decision-making processes, or risk stratification validated through prospective studies or randomized clinical trials.

 3.

AI education of healthcare professionals (100% agreement): Healthcare professionals must acquire a digital health literacy level appropriate for their specific role, with individuals with leadership and management roles having more in-depth knowledge.

Conclusions

The consensus identifies three strategic priorities to guide the integration of AI in high-acuity settings. Together, they outline a pragmatic roadmap for translating AI potential into safe and clinically meaningful practice.