WHO's new DDOH framework expands the scope to 𝟭𝟮𝟳 𝗱𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗮𝗻𝘁𝘀, of which 37 are explicitly digital, such as 𝘢𝘭𝘨𝘰𝘳𝘪𝘵𝘩𝘮𝘪𝘤 𝘩𝘢𝘳𝘮, 𝘮𝘪𝘴𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯, and 𝘥𝘪𝘨𝘪𝘵𝘢𝘭 𝘭𝘪𝘵𝘦𝘳𝘢𝘤𝘺. Such a comprehensive list may make the model too complex for practical implementation, especially in resource-constrained settings. Finding the right balance is crucial for a framework to remain both actionable and monitorable in addressing digital era challenges
On November 28, the Committee of the Council of Europe on AI (#CAI) adopted the #HUDERIA Methodology for the #risk and #impact #assessment of #AI artificial intelligence systems.
📍What is the HUDERIA?
The risk and impact assessment of artificial intelligence (AI) systems from the point of view of human rights, democracy and the rule of law (“the HUDERIA”) is a guidance which provides a structured approach to risk and impact assessment for AI systems specifically tailored to the protection and promotion of human rights, democracy and the rule of law. It is intended to play a unique and critical role at the intersection of international human rights standards and existing technical frameworks on risk management in the AI context.
The HUDERIA can be used by both public and private actors to aid in identifying and addressing risks and impacts to human rights, democracy and the rule of law throughout the lifecycle of AI systems.
A new Yale School of Medicine study reveals how biased AI can negatively impact clinical outcomes.
The study provides real-world and hypothetical examples of how these biases impact patients' care.
Researchers emphasize that developers and publishers of AI models influence the future direction of medical AI advancements.
We are delighted to share with you that the position paper "Addressing Health and Environmental Resilience in the Mediterranean - Towards Sustainable and Healthy Future: The Mediterranean as a Beacon for Global Climate Action and Public Health" has been presented at the COP29 in Baku
Following the resolution EUR/RC72/R2, Leveraging digital transformation for better health in Europe: Regional digital health action plan for the WHO European Region 2023–2030, and the commitment to report to the Regional Committee every two years on progress made in implementing the Action Plan, and to review and update the list of illustrative actions as necessary, a new list of illustrative actions has been appended to this progress report. This progress report is submitted to the Regional Committee for consideration at its 74th session in October 2024.
A Transdisciplinary Framework for a continuum of care can provide a structured approach that integrates the healthcare ecosystem, networks, technologies, enablers, and governance functions for current and future considerations. It may be customized based on local priorities, capabilities, and constraints to provide effective and reliable services across the continuum of care.
At last we have an approved OSI definition of Open Source AI with several important points : Data (Sufficiently detailed information about the data used to train the system so that a skilled person can build a substantially equivalent system and not necessarily all such data to be made available) - Code (traditional) - Parameters or weights. Please note that data and Parameters can be made available through OSI approved terms (and not license) as the lack of copyrightability / copyright protection may limit the use of license mechanism
Data + algorithm does not equal operational knowledge in medicine.
Key quote: "They also trained the algorithm on all the data from one trial — or a group of trials — and then measured its performance on a separate trial. The model performed poorly in these tests, generating seemingly almost random predictions when applied to a data set that it had not been trained on. The team repeated the experiment using a different prediction algorithm, but got similar results."
Rolling these medical algorithms out without clinical validation is a tremendous risk - of lives and lawsuits.
WEF Transforming Healthcare: Navigating Digital Health with a Value-Driven Approach
Value-based healthcare heavily relies on data and analytics for the purpose of measuring patient outcomes and cost drivers. Digital, data and AI transformation in healthcare is accelerating and playing an increasingly central role in the transition to value-based healthcare. To release the potential of digital, data and AI, healthcare system stakeholders (e.g. patients, providers, payers, medtech, pharma, investors, regulators, digital start-ups and big tech companies) must come together and work as an integrated team on five overarching enablers of digital.
UN Interim Report: Governing AI for Humanity
The AI Advisory Body and its members will engage with all stakeholders over the coming months. Individuals, groups, and organizations are encouraged to provide feedback via the online submission form below.
Self-assessment guide for artificial intelligence (AI) systems
The CNIL offers organisations an analysis grid through which to assess by themselves the maturity of their artificial intelligence systems with regard to the GDPR. It also describes best practices that can be followed.
GDPR checklist for the development and deployment of Artificial Intelligence applications
The Bavarian State Office for Data Protection shared a checklist for the development and deployment of Artificial Intelligence applications. It is only available in German and not exhaustive but it represents a good practice approach.
OECD AI papers - COLLECTIVE ACTION FOR RESPONSIBLE AI IN HEALTH.
The document highlights opportunities (#PersonalisedCare, enhancing decision-making, advancing research, optimising efficiency, strengthening #healthsystems), and challenges (#DataBias, #privacy and security concerns, lack of explainability, job displacement). The OECD suggests practical actions to mitigate risks, improve trust, and accelerate progress toward the responsible implementation of AI in health
€509m for grants in #horizoneurope 2024 #Health calls. Deadline: 11/04 5pm CET. Topics include: pandemic preparedness, AMR, regenerative medicine, evaluation of medical devices, and methodologies for regulatory safety & efficacy testing.
Today, the European Commission has decided to establish a European Artificial Intelligence Office (#AIOffice) within the Commission as part of the administrative structure of the Directorate-General for Communication Networks, Content and Technology. 🏢 The AI Office will play a pivotal role in the enforcement architecture of the #AIAct, the EU’s landmark law to regulate Artificial Intelligence, set to be formally adopted in the coming weeks. 💡 Among other things, the #AIOffice shall: 🔘Develop tools, methodologies, and benchmarks for evaluating the capabilities of general-purpose AI models. 🔘Monitor the implementation and application of rules on general-purpose AI models and systems. 🔘Monitor the emergence of unforeseen risks stemming from general-purpose AI models. 🔘Investigate possible infringements of rules on general-purpose AI models and systems, including collecting complaints and alerts. 🔘Support the implementation of rules on prohibited AI practices and high-risk AI systems in coordination with relevant bodies responsible under sectoral legislation. This includes facilitating information exchange and collaboration between national authorities, collecting notifications, and establishing information platforms and databases. ❓Nevertheless, it seems like the issue of the extent of autonomy guaranteed to the AI Office remains a sensitive matter within the #Commission. It remains unclear whether it will evolve into an entity with independent political objectives or merely function as an extension of the unit responsible for the #AIAct.
Entrambi i Paesi, che avevano adottato HL7 FHIR per l’interoperabilità, sono giunti alla conclusione di utilizzare openEHR per la memorizzazione dei dati.
A clear, math-less explanation of chat-bots (that which is poetically called "artificial intelligence" by hype) in this video from Harvard CS50
Il 12 ottobre 2023 il Garante Privacy ha pubblicato il “Decalogo per la realizzazione di servizi sanitari nazionali attraverso sistemi di intelligenza artificiale”. Un documento di 10 punti in cui si evidenziano gli aspetti più rilevanti per il corretto utilizzo della AI da parte del Sistema Sanitario Nazionale.
The Communication on the Artificial Intelligence in the European Commission (AI@EC) outlines its strategic vision to foster the internal development and use of lawful, safe and trustworthy AI. When using or deploying AI, the Commission will: ⏺️ Develop internal operational guidelines that give staff – users, developers or procurers of AI systems – clear and pragmatic guidance on how to put such systems in operation. ⏺️ Assess and classify AI systems that the Commission is using or planning to use – based on a risk-based approach and using the Commission’s operational guidelines. ⏺️ Refrain from using AI systems that are considered incompatible with European values or that represent a threat to the security, safety, health and fundamental rights of people. ⏺️ Put in place organisational structures to fulfil the obligations of the Commission in relation to AI. In doing so, the Commission will consider the planned EU political and legislative initiatives as well as all applicable existing legislation, including on non-discrimination, accessibility, information security and data protection. It will also consider the best practices and examples from industry at both, the national and international levels. When deciding on new IT investments, the Commission will consider the AI aspect to ensure compliance with the Commission’s operational guidelines.
L’Open Meeting Grandi Ospedali 2024 mantiene lo stile e gli obiettivi delle edizioni 2022 e 2023 quale occasione speciale per i principali ospedali italiani di ritrovarsi in confronto ampio, aperto e all’avanguardia tra i professionisti della Sanità nazionale e internazionale che nelle più importanti strutture sanitarie del nostro Paese. Istituzioni, imprese, partner a vari livelli e i molti stakeholder insieme per esplorare nuove idee e soluzioni per lo sviluppo delle loro eccellenze manageriali, cliniche, tecniche e di ricerca.
Un unico obiettivo condiviso: costruire un sistema integrato e valorizzare il sistema sanitario italiano a livello internazionale. Anche quest’anno Grandi Ospedali mantiene il suo format innovativo e vincente che esula dalla normale convegnistica per diventare luogo ideale e fisico di una due giorni che ha come protagonista l’interazione e la messa in comune di un lavoro che coinvolge tutti gli attori del settore.
