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WORLD HEALTH ORGANIZATION ORGANISATION MONDIALE DE LA SANTÉ REGIONAL OFFICE FOR EUROPE BUREAU RÉGIONAL DE L'EUROPE WELTGESUNDHEITSORGANISATION ВСЕМИРНАЯ ОРГАНИЗАЦИЯ ЗДРАВООХРАНЕНИЯ REGIONALBÜRO FÜR EUROPA ЕВРОПЕЙСКОЕ РЕГИОНАЛЬНОЕ БЮРО From data to decisions: WHO Training on Prompt Engineering, Data Visualization, and Knowledge Translation 22 September 2026 7 – 10 December 2026, Brussels, Belgium Scope and purpose Background The Second European Programme of Work 2026–2030 (EPW2) emphasizes the critical role of data, digital technologies and artificial intelligence (AI) in delivering better care and building stronger, more resilient health systems across the WHO European Region. High-quality, timely and well-used health data are essential to evidence-informed policymaking, effective health system performance and improved population health outcomes. Member States have consistently highlighted the need to strengthen national or equivalent capacities not only in data collection and analysis, but also in data visualization, communication, and the responsible use of emerging digital and AI-enabled tools. In response to consultations with Member States on their data visualization and AI needs, the WHO Regional Office for Europe is organizing a Training for EU Member States on Prompt Engineering, Data Visualization, and Knowledge Translation, which will take place from 7–10 December 2026 in Brussels, Belgium. This training is made possible through the generous support of the EU and the project 'Supporting the WHO European Region in Strengthening Health Information Systems and Boosting Health Data Governance', whose objectives include building capacity across the WHO European Region. This training builds on previous regional capacity-building efforts and represents the eighth cohort of a programme that has now become a regular feature of the Regional Office’s work on strengthening data use, knowledge translation and the ethical application of AI in health systems. The overall aim of the training is to strengthen participants' practical skills across three connected areas: AI prompt engineering to enable the safe, effective and ethical use of LLMs within health systems; data visualization and storytelling as the foundation for effective dashboard development, increasing the uptake and use of health data for policymaking; and knowledge translation, to support participants in communicating data products clearly to decision-makers. Reflecting feedback from EU Member States, particular emphasis is placed on data visualization principles, which remain broadly relevant regardless of the specific software used, while Microsoft Power BI is introduced as one practical tool for implementation. The training will support participants in translating complex health data into clear, actionable insights that can inform decision-making at national, subnational and equivalent levels. Target audiences The training is intended for health information analysts and related professionals from EU Member States within the WHO European Region, nominated by ministries of health through designated national Health Information Network (HIN) focal points. Participants are expected to Scope and purpose page 2 be actively involved in the routine collection, analysis, interpretation or communication of health data, for example within ministries of health, public health institutes, or national or equivalent statistical offices. Training approach and envisioned outcomes The training will combine structured lectures, hands-on exercises and peer exchange across four days, sequenced to build directly on each preceding step. Participants will begin with prompt engineering fundamentals, then work through indicator selection — including how to avoid the "spotlight effect," where indicators are chosen because they are easy to measure rather than because they meaningfully reflect the health situation — and data cleaning supported by AI. Data visualization will be introduced not as an isolated skill but as one component of a broader product: participants will learn that a chart, like a dashboard, is simply one building block that could equally support a report, a slide deck or a narrative, and will apply a "who, what, when, why, how" framework to define the audience and purpose of a data product before building it. Power BI sessions will build on a pre-developed file that participants edit and refine, paired with a session on colour and composition principles, so that development time is spent on judgement and design rather than on starting from a blank canvas. Throughout, rather than being confined to a single module, AI will be integrated into the workflow itself, supporting Power BI-specific tasks and, through structured prompts, helping participants clean data, suggest relevant indicators and generate visualization options. Because participants' technical skill levels and the readiness of their own data will vary considerably, practical exercises will rely primarily on backup or shared datasets accompanied by structured AI prompts, with participants who have suitably prepared project data of their own invited to use it instead. Participants will also critique real examples of charts they consider effective or ineffective as a peer-learning exercise, revisiting their initial judgements once the underlying principles have been introduced. The training concludes with a dedicated knowledge translation component, threaded throughout by the responsible facilitator and culminating in a mock presentation of participants' own dashboards or reports to a simulated decision-maker, such as a Minister of Health. By the end of the training, participants are expected to have strengthened their capacity to select meaningful indicators, apply data visualization principles and storytelling, build and refine dashboards in Power BI, and translate their data products into a form that can inform and persuade decision-makers — while responsibly leveraging AI tools throughout their own health systems. Practicalities The training is a four-day (Monday-Thursday), in-person training. Working language will be in English. The location of the training is in Brussels, Belgium (exact venue to be confirmed). Travel and accommodation for the participants will be organized by WHO and covered from the project budget. Coffee breaks and lunch will be provided each day. Participants will receive an information circular as well as a detailed training programme in advance of the event. WORLD HEALTH ORGANIZATION ORGANISATION MONDIALE DE LA SANTÉ WELTGESUNDHEITSORGANISATION Date: 2 October 2026 ВСЕМИРНАЯ ОРГАНИЗАЦИЯ ЗДРАВООХРАНЕНИЯ REGIONAL OFFICE FOR EUROPE Ms Helen Sõber BUREAU RÉGIONAL DE L’EUROPE REGIONALBÜRO FÜR EUROPA Adviser ЕВРОПЕЙСКОЕ РЕГИОНАЛЬНОЕ БЮРО European Union Affairs and International Co- Head office: operation Department UN City, Marmorvej 51, Ministry of Social Affairs DK-2100 Copenhagen Ø, Denmark Suur-Ameerika 1 Tel.: +45 45 33 70 00; Fax: +45 45 33 70 01 Email: [email protected] 10122 Tallinn Website: https://www.who.int/europe Estonia Our reference: Your reference: Notre référence: Votre référence: Unser Zeichen: Ihr Zeichen: См. наш номер: На Ваш номер: Dear Ms Sõber, From Data to Decisions: WHO Training on Prompt Engineering, Data Visualization, and Knowledge Translation 7 – 10 December 2026, Brussels, Belgium We are pleased to inform you that the WHO Regional Office for Europe is organising “From Data to Decisions: WHO Training on Prompt Engineering, Data Visualization, and Knowledge Translation” for EU Member States, on prompt engineering, data visualization and knowledge translation, which will take place from 7–10 December 2026 in Brussels, Belgium. This training is made possible through the generous support of the EU and the project 'Supporting the WHO European Region in Strengthening Health Information Systems and Boosting Health Data Governance', whose objectives include building capacity across the WHO European Region. Aligned with the Second European Programme of Work 2026-2030’s vision that data, digital technologies and artificial intelligence (AI) deliver better care and stronger health systems for all, the training aims to strengthen participants’ skills in AI prompt engineering, to enable the safe, effective and ethical use of large language models (LLMs) within health systems, and in data visualization and dashboard development to increase the uptake of health data for policymaking. The training also introduces a knowledge translation component to support participants in communicating their data products clearly to decision-makers. Participants’ profile and funding Participation in the training is free of charge. Travel and accommodation costs for the participants will be covered by WHO. For this training, we are looking for health information analysts and/or policymakers involved in the routine collection, analysis and interpretation of data and health information to enable evidence-informed decision making. This can be, for example, experts who work in (sub-)national public health institutes or (sub-)national statistical offices. Policymakers are defined as people who work either at a national or sub-national health authority and are involved in policy development, implementation and evaluation. Please note that the working language during the training will be English. UN City, Marmorvej 51 Tel.: +45 45 33 70 00 Email: [email protected] DK-2100 Copenhagen Ø Fax: +45 45 33 70 01 Website: https://www.who.int/europe Denmark Nominations We are pleased to inform you that each Member State may send up to 1 participant for this training. If you would like to nominate an additional participant at your own expense, please inform us and we will accommodate them if space at the venue allows. At your discretion, and if this training would be relevant for them, we suggest you consider nominating the current WHO Health Information Network (HIN) representative from your country as part of the delegation: Mr Roman Kostrõkin, Head of the Health Information System Services Division, TEHIK We would be obliged if you could send the names, functional titles, affiliations, and email addresses of the suggested participants to the training coordinator Tyrone Reden Sy at [email protected] by 10th of November at the latest. After we have received this information, the WHO Secretariat will follow up with the participants directly for travel arrangements and to provide more information about the training. Should you require further information, please do not hesitate to contact [email protected]. We would like to take this opportunity to thank you for your continued fruitful collaboration with the WHO Regional Office for Europe, and we look forward to welcoming the candidates to training. Sincerely yours, Dr David Novillo Ortiz Regional Adviser Data, Artificial Intelligence and Digital Health (DAD) Division of Health Systems (DHS) WHO Regional Office for Europe Encls: Scope and purpose Provisional programme Copy for information to: Ms Agne Nettan-Sepp, Head, European Union Affairs and International Co-operation Department, Ministry of Social Affairs, Suur-Ameerika 1, 10129 Tallinn, Estonia H.E. Ms Riia Salsa-Audiffren, Ambassador Representative of the Republic of Estonia, Permanent Mission of the Republic of Estonia to the United Nations Office and other international organizations in Geneva, Chemin du Petit-Saconnex 28A, CH-1209 Genève, Switzerland H.E. Mr Andre Pung, Ambassador Extraordinary and Plenipotentiary, Embassy of the Republic of Estonia, Frederiksgade 19, 4th floor, 1265 Copenhagen K, Denmark Ms Kristina Köhler, Head of Office, WHO Country Office, Estonia, Paldiski Road 81, 10617 Tallinn, Estonia –2– Saatja: "EUDigitalHealth" <[email protected]> Saaja: "Helen Sõber - SOM" <[email protected]> Teema: WHO Data Visualization Training, 7-10 December 2026 – Nomination Request_EST Kuupäev: 2026-10-02 13:11 Tähelepanu! Tegemist on välisvõrgust saabunud kirjaga. Tundmatu saatja korral palume linke ja faile mitte avada. Please see the attached correspondence sent from the World Health Organization, Regional Office for Europe. One or more attachments may be included. Veuillez-vous référer à la correspondance ci-jointe du Bureau régional de l'Europe de l'Organisation mondiale de la santé. Une ou plusieurs annexes peuvent être jointes. Mit der Bitte um Kenntnisnahme der beiliegenden Korrespondenz (eine oder mehrere Anlagen), Weltgesundheitsorganisation, Regionalbüro für Europa См. прикрепленные письма от Европейского регионального бюро Всемирной организации здравоохранения (один или несколько прикрепленных файлов). WORLD HEALTH ORGANIZATION ORGANISATION MONDIALE DE LA SANTÉ REGIONAL OFFICE FOR EUROPE BUREAU RÉGIONAL DE L'EUROPE WELTGESUNDHEITSORGANISATION ВСЕМИРНАЯ ОРГАНИЗАЦИЯ ЗДРАВООХРАНЕНИЯ REGIONALBÜRO FÜR EUROPA ЕВРОПЕЙСКОЕ РЕГИОНАЛЬНОЕ БЮРО From Data to Decisions: WHO Training on Prompt /2 Engineering, Data Visualization, and Knowledge Translation Brussels, Belgium 22 September 2026 7 – 10 December 2026 Original: English Draft Provisional Programme Lecturers: • Fundamentals of AI and Prompt Engineering – Tyrone Reden Sy • Data Quality, Indicator Selection, Data Cleaning and Dashboard Framing – Stefania Davia • Data Visualization Principles – Laurens Zwakhals • Power BI – Viktoriya Arkhipenko • Knowledge Translation – SILD Consulting / Marge Reinap Day 1: Fundamentals of AI and Prompt Engineering, Indicator Selection and Data Quality Please bring: Windows Laptop, create a free account in ChatGPT.com or Claude.ai (paid subscription optional). Time Agenda 08:15 – 09:00 Registration 09:00 – 09:30 Welcome and opening remarks and group photo 09:30 – 10:30 Introduction, and fundamentals of AI and LLMs 10:30 – 11:00 Coffee break and energizing exercises 11:00 – 12:00 Prompt engineering essentials: persona, template, few-shot, chain-of-thought and other practical patterns for analytical and visualization tasks 12:00 – 13:00 Lunch break 13:00 – 14:00 Prompt engineering (continued): safe and ethical use of LLMs, limitations of LLMs, and an overview of AI productivity tools 14:00 – 14:30 Coffee break and energizing exercises 14:30 – 16:00 Indicator selection and the spotlight effect: choosing indicators that meaningfully reflect the health situation, supported by AI-assisted approaches, and AI-assisted data cleaning 16:00 – 16:55 Data Visualization Lecture Part 1: Reviewing real examples: participants share charts they consider effective or ineffective 16:55 – 17:00 Wrap-up and feedback for the day Day 2: Data Visualization Principles and Framing Your Dashboard Time Agenda 08:45 – 09:00 Morning coffee and informal chat 09:00 – 10:30 Data visualization principles I: fundamentals of chart design 10:30 – 11:00 Coffee break and energizing exercises 11:00 – 12:30 Data visualization principles I (continued): hands-on practice with chart fundamentals 12:30 – 13:30 Lunch break – Reminder to install Power BI  13:30 – 14:30 Data visualization principles II: charts as components of a product (dashboards, reports, slide decks and other formats) Reviewing real examples: participants share charts they consider effective or ineffective 14:30 – 15:00 Coffee break and energizing exercises 15:00 – 16:50 The ‘who, what, when, why, how’ framework: defining the audience and purpose of a data product (introduction, continued the following morning) 16:50 – 17:00 Wrap-up and feedback for the day Practical activities: o Homework 1: Begin structuring your own country dataset for dashboard use, following the advance guidance provided; if using the shared dataset instead, familiarize yourself with its columns and structure (WHO Europe’s Health for All Mortality Database, available in the Lectures folder) o Homework 2: Please install the following on your computer: o Download Microsoft Power BI Desktop from Official Microsoft Download Center Day 3: Framing Your Dashboard (continued), Power BI and Visual Composition Time Agenda 08:45 – 09:00 Morning coffee and informal chat 09:00 – 10:00 Presentation of ‘who, what, when, why, how” outputs 10:00 – 10:30 Coffee break and energizing exercises 10:30 – 11:15 Introduction to Power BI: interface and the pre-built dashboard file 11:15 – 12:15 Hands-on exercise: editing and refining the pre-built Power BI dashboard 12:15 – 13:15 Lunch break 13:15 – 14:15 Revisiting the examples: what makes a chart work, and what participants would now improve 14:15 – 14:45 Working with AI to generate visualizations 14:45 – 15:15 Coffee break and energizing exercises 15:15 – 16:50 Composition and colour: principles for choosing colour schemes and visual composition (colour wheel, chart composition), including AI-assisted design elements 16:50 – 17:00 Wrap-up and feedback for the day Day 4: Knowledge Translation Time Agenda 08:45 – 09:00 Morning coffee and informal chat 09:00 – 09:45 Principles of evidence-informed policymaking and knowledge translation, 09:45 – 10:30 Stakeholder mapping: identifying and understanding your dashboard / information products’ audience 10:30 – 11:00 Coffee break and energizing exercises 11:00 – 12:30 Crafting your message: structuring a knowledge translation product (evidence brief or briefing note) from your dashboard or report 12:30 – 13:30 Lunch break 13:30 – 15:00 Group exercise: finalizing the mock presentation of your dashboard/report to a Minister of Health, using knowledge translation principles 15:00 – 15:30 Coffee break and energizing exercises 15:30 – 16:30 Presentation and roundtable feedback: peer and facilitator review of presentations, modelled on a ministry leadership roundtable format 16:30 – 17:00 Wrap-up and feedback for the day, distribution of certificates Closing remarks