A new movement in healthcare emphasizes the critical importance of data quality before implementing artificial intelligence (AI) solutions. This approach prioritizes data collection and management, ensuring a strong foundation for future AI development.
This focus on data offers several advantages. First, it allows for a clearer understanding of where AI can be most beneficial in addressing healthcare challenges. Second, by prioritizing data integrity, the movement promotes responsible AI integration that fosters trust and accountability. Ultimately, this approach aims to shape a future of healthcare advancements built on a foundation of data integrity, fairness, and a focus on human well-being.
Our movement was born in Geneva. During Europe-India Digital Health Week,a side Event to the 75th World Health Assembly and a pre-event at Geneva Digital Health Day 2024, we launched “Data First, AI Later”—a global initiative calling for ethical, inclusive, and trustworthy AI in healthcare rooted in data integrity.
💬 From WHO leaders to parliamentarians and patient advocates, this founding session brought together voices from across continents with a shared message: no AI without good data.
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In an era of unprecedented digital innovation and global health challenges, the convergence of AI and healthcare presents immense opportunities and complexities. However, the rush to adopt AI solutions often overlooks the critical role of data, leading to potential risks and ethical concerns. By prioritizing data integrity and quality, we aim to address these challenges head-on and ensure that AI in healthcare is developed and deployed responsibly, ethically, and sustainably.
Read the White Paper "Building Trustworthy AI in Healthcare: Data First, AI Later" : here
The Data First, AI Later Global Movement is a collaborative initiative started at Geneva Digital Health Day, a side event of Geneva's World Health Assembly in May 2025.
Led by the Health Parliament India, Health Data Forum, and the European Institute for Innovation through Health Data (i~HD). It advocates for a global shift in digital health innovation, placing data integrity, governance, and inclusivity at the forefront of AI deployment in healthcare.
By building bridges between policy, research, and practice, this movement empowers stakeholders to co-create ethical, sustainable, and trustworthy AI solutions rooted in high-quality health data.
By championing the responsible collection and utilization of data, the movement seeks to establish a solid foundation for the ethical integration of AI technologies. With a commitment to fostering trust, accountability, and inclusivity, the movement envisions a future where healthcare advancements are rooted in integrity, equity, and human-centric values.
Health Parliament India is a non-profit organization dedicated to improving healthcare access and innovation in India. This NGO advocates for a patient-centred healthcare system through policy analysis and public initiatives and supports healthcare startups through the SCALE initiative, fostering domestic solutions.
The Health Data Forum is a pivotal platform for fostering dialogue and progress in health data management and analysis. This forum provides a space for professionals, researchers, policymakers, and stakeholders to converge and explore cutting-edge innovations in the field. By facilitating discussions on emerging trends, best practices, and challenges in health data, the forum aims to propel the development and implementation of advanced solutions.
The European Institute for Innovation through Health Data (i~HD) is a European, not-for-profit, neutral organization dedicated to maximizing the value of health data to improve healthcare and accelerate research. It connects diverse stakeholders and promotes trustworthy, high-quality, and interoperable health data use through education, standards development, certification, and collaborative projects. i~HD focuses on six core areas: data quality, information governance, trustworthy ICT systems, interoperability standards, quality labels, and scaling up the health ecosystem to foster innovation and better patient outcomes across Europe
Data First, AI Later, is a multiparty collaborative started by col.lab !collaboration laboratory managed by Health Data Forum Ltd (UK Charity)
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