More and more healthcare organizations have started adopting artificial intelligence solutions in their clinical practice, or are planning to do so in the near future. It is therefore becoming increasingly important for caregivers, healthcare managers, purchasers, and IT professionals to gain an understanding of how to responsibly implement and use these solutions.
The EU AI act (the new EU regulation on artificial intelligence), has provided additional motivation to work on your organisation’s AI literacy. With this new law, ‘deployers’ have to make sure that all people affected are sufficiently informed and trained to use the AI systems responsibly.
Romion Health brings extensive clinical experience in implementing AI solutions in clinical practice. Leveraging our market expertise, we are able to guide the different stakeholders within your department to enhance their AI literacy effectively.
Romion Health offers a dedicated curriculum tailored for diverse stakeholders involved in AI implementation projects. This program includes lectures, workshops, and practical assignments, ensuring all participants achieve a deep understanding of how to adopt AI responsibly. Structured around four core pillars, the curriculum features multiple modules within each pillar, each designed with specific goals and objectives.
The curriculum is tailored to the current AI literacy level of your organisation and is designed for the following target audiences:
Each module specifies its intended audience, ensuring that the content is relevant and impactful. Romion Health's AI Academy equips your team with the knowledge and skills necessary to navigate the complexities of responsible AI implementation in healthcare.
Here, we will focus on developing comprehensive AI strategies and governance frameworks that align with organisational goals and ensure responsible AI use. Participants will gain financial acumen by evaluating various approaches to calculating the return on investment for AI projects. This section will cover strategic technical decisions, providing insights into multiple integration options and their pros and cons. Additionally, participants will learn the importance of change management to foster an AI-ready culture through communication and stakeholder engagement.
This module focuses on the essential knowledge and skills required for effective AI procurement. Managers and healthcare professionals will gain insights into the AI market landscape, identifying trends and evaluating vendor offerings. We will be weighing the benefits and challenges for developing AI solutions in-house or purchasing them from third-parties. The Purchasing AI section provides comprehensive guidance on the procurement process, from evaluating vendors to finding the right solution based on local needs and requirements. Lastly, participants learn how to effectively assess and validate the performance and reliability of AI tehnologies before implementation.
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The AI Implementation module is designed to guide participants through the practical aspects of integrating AI into healthcare settings. Managers, healthcare professionals, and IT specialists explore various deployment options and gain an understanding of the risks and implications of these choices, such as automation bias and liability. Practical guidance will be provided for prerequisites such as the data privacy impact assessment (DPIA), fundamental rights impact assessment (FRIA) and risky analysis for safe implementation.
The AI Evaluation module focuses on equipping clinicians and managers with the skills and tools to evaluate and monitor AI technologies effectively. Participants will learn how to assess the performance and impact of AI systems in clinical practice, ensuring they meet the required standards and deliver the intended benefits.
This module focuses on the fundamental and general knowledge and skills essential for implementing AI technologies. As an overarching module, it provides a robust foundation for professionals navigating the AI landscape.
Core concepts and principles of AI are introduced equipping both managers and healthcare professionals with the foundational understanding necessary to effectively apply AI technologies. A thorough understanding will be gained of the legal and regulatory frameworks governing AI, such as the MDR, IVDR and AI-act. With the quick rise of Large Language Models (LLM), we spend time on the capabilities and transformative applications of LLM’s in healthcare, helping stakeholders recognize their potential across various domains.
The EU AI act (the new EU regulation on artificial intelligence), has provided additional motivation to work on your organisation’s AI literacy. With this new law, ‘deployers’ have to make sure that all people affected are sufficiently informed and trained to use the AI systems responsibly.
Romion Health brings extensive clinical experience in implementing AI solutions in clinical practice. Leveraging our market expertise, we are able to guide the different stakeholders within your department to enhance their AI literacy effectively.
Romion Health offers a dedicated curriculum tailored for diverse stakeholders involved in AI implementation projects. This program includes lectures, workshops, and practical assignments, ensuring all participants achieve a deep understanding of how to adopt AI responsibly. Structured around four core pillars, the curriculum features multiple modules within each pillar, each designed with specific goals and objectives.
The curriculum is tailored to the current AI literacy level of your organisation and is designed for the following target audiences:
Each module specifies its intended audience, ensuring that the content is relevant and impactful. Romion Health's AI Academy equips your team with the knowledge and skills necessary to navigate the complexities of responsible AI implementation in healthcare.
Here, we will focus on developing comprehensive AI strategies and governance frameworks that align with organisational goals and ensure responsible AI use. Participants will gain financial acumen by evaluating various approaches to calculating the return on investment for AI projects. This section will cover strategic technical decisions, providing insights into multiple integration options and their pros and cons. Additionally, participants will learn the importance of change management to foster an AI-ready culture through communication and stakeholder engagement.
This module focuses on the essential knowledge and skills required for effective AI procurement. Managers and healthcare professionals will gain insights into the AI market landscape, identifying trends and evaluating vendor offerings. We will be weighing the benefits and challenges for developing AI solutions in-house or purchasing them from third-parties. The Purchasing AI section provides comprehensive guidance on the procurement process, from evaluating vendors to finding the right solution based on local needs and requirements. Lastly, participants learn how to effectively assess and validate the performance and reliability of AI tehnologies before implementation.
The AI Implementation module is designed to guide participants through the practical aspects of integrating AI into healthcare settings. Managers, healthcare professionals, and IT specialists explore various deployment options and gain an understanding of the risks and implications of these choices, such as automation bias and liability. Practical guidance will be provided for prerequisites such as the data privacy impact assessment (DPIA), fundamental rights impact assessment (FRIA) and risky analysis for safe implementation.
The AI Evaluation module focuses on equipping clinicians and managers with the skills and tools to evaluate and monitor AI technologies effectively. Participants will learn how to assess the performance and impact of AI systems in clinical practice, ensuring they meet the required standards and deliver the intended benefits.
This module focuses on the fundamental and general knowledge and skills essential for implementing AI technologies. As an overarching module, it provides a robust foundation for professionals navigating the AI landscape.
Core concepts and principles of AI are introduced equipping both managers and healthcare professionals with the foundational understanding necessary to effectively apply AI technologies. A thorough understanding will be gained of the legal and regulatory frameworks governing AI, such as the MDR, IVDR and AI-act. With the quick rise of Large Language Models (LLM), we spend time on the capabilities and transformative applications of LLM’s in healthcare, helping stakeholders recognize their potential across various domains.
