Scholarlink

<p>This Special Issue focuses on mobile health and artificial intelligence (AI) to help providers, organizations and countries prioritize and implement evidence-based, safe and effective interventions. This Issue called for submissions to: (1) Describe what mobile health and AI options are available; (2) Promote evidence-based tools with evidence-based methods including assessment health, technology, and cultural literacy of users; and (3) Suggest guidelines, best practices, competencies and organizational approaches. Papers came from 12 countries and three section themes emerged: (1) Patient-centered Research; (2) Provider- and Setting-level Research; and (3) Guidelines, Global and Policy Approaches. <i>Section 1</i> focuses on application of existing and new mobile health and AI tools (e.g., digital phenotyping) and evidence-based, private and safe care for special populations (e.g.,, trauma-informed care). <i>Section 2</i> looks at provider attitudes, factors affecting adoption, and ethical and legal challenges. <i>Section 3</i> offers broad, perspective via guidelines, global and policy approaches and these emphasize diversity, equity and inclusion. Articles describe approaches for mobile health and AI tools to assist and augment provider care, including 10 summary recommendations and 54 specific recommendations for providers and organizations. Medical education for training and ongoing continuous professional development are essential for skill development. The issue highlights the importance of human-centered design for access to effective and safe patient care, and practical tips for implementation by providers, organizations and policymakers worldwide.</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

Introduction to the World Psychiatric Special Issue on Mobile Health, Artificial Intelligence and Digital Technologies: Improving Access, Quality and Effectiveness Worldwide

  • 期刊论文

  • 发表日期：

    2026年4月9日

查看全文
  • Donald M. Hilty,
  • Davor Mucić,
  • Nikos Gkouvas

摘要

This Special Issue focuses on mobile health and artificial intelligence (AI) to help providers, organizations and countries prioritize and implement evidence-based, safe and effective interventions. This Issue called for submissions to: (1) Describe what mobile health and AI options are available; (2) Promote evidence-based tools with evidence-based methods including assessment health, technology, and cultural literacy of users; and (3) Suggest guidelines, best practices, competencies and organizational approaches. Papers came from 12 countries and three section themes emerged: (1) Patient-centered Research; (2) Provider- and Setting-level Research; and (3) Guidelines, Global and Policy Approaches. Section 1 focuses on application of existing and new mobile health and AI tools (e.g., digital phenotyping) and evidence-based, private and safe care for special populations (e.g.,, trauma-informed care). Section 2 looks at provider attitudes, factors affecting adoption, and ethical and legal challenges. Section 3 offers broad, perspective via guidelines, global and policy approaches and these emphasize diversity, equity and inclusion. Articles describe approaches for mobile health and AI tools to assist and augment provider care, including 10 summary recommendations and 54 specific recommendations for providers and organizations. Medical education for training and ongoing continuous professional development are essential for skill development. The issue highlights the importance of human-centered design for access to effective and safe patient care, and practical tips for implementation by providers, organizations and policymakers worldwide.