Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations

2024/03/30 by Pouyan Esmaeilzadeh · 1 voice · 3 citations
Health Professions · Medicine · Social Sciences · #Artificial Intelligence in Healthcare #Artificial Intelligence in Healthcare and Education #Ethics and Social Impacts of AI

paper · doi:10.1016/j.artmed.2024.102861

openalex publication_date 2024/03/30 · crossref created 2024/03/30 · crossref deposited 2024/04/22 · crossref issued 2024/05/01 · crossref published 2024/05/01 · crossref published-print 2024/05/01 · openalex created_date 2025/10/10 · crossref indexed 2026/07/31 · openalex updated_date 2026/07/31

Citations

• Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy
• Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects
• Accountable Artificial Intelligence: Holding Algorithms to Account
• Precision Medicine, AI, and the Future of Personalized Health Care
• Is AI Ground Truth Really True? The Dangers of Training and Evaluating AI Tools Based on Experts’ Know-What
• Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms
• Trustworthy AI: From Principles to Practices
• Competencies for the Use of Artificial Intelligence–Based Tools by Health Care Professionals

Cited by

• A protocol for retrospective evaluation of potential patient-level harms of an AI tool for blood culture stewardship
• On the Philosophical Naivety of Engineers in the Age of Machine Learning
• AI with agency: a vision for adaptive, efficient, and ethical healthcare

Discussions

• AI discussions assume a clean slate, but most labs are layered on decades-old systems. Pouyan Esmaeilzadeh’s 2024 paper highlights that AI struggles often come less from the models and more from legac [bsky, 1 points, 0 comments]