Healthcare Analytics and Predictive Modeling using AI Course

Master healthcare analytics and AI prediction, including cohort design, risk modelling, validation, equity and governed workflow implementation.

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Training Locations

This Healthcare Analytics and Predictive Modeling using AI Course is available in multiple cities. Please select your preferred location from the list below

Durrës

Albania

Tirana

Albania

Andorra la Vella

Andorra

Escaldes-Engordany

Andorra

Innsbruck

Austria

Salzburg

Austria

Vienna

Austria

Gomel

Belarus

Minsk

Belarus

Antwerp

Belgium

Brussels

Belgium

Banja Luka

Bosnia and Herzegovina

Sarajevo

Bosnia and Herzegovina

Plovdiv

Bulgaria

Sofia

Bulgaria

Dubrovnik

Croatia

Split

Croatia

Zagreb

Croatia

Limassol

Cyprus

Nicosia

Cyprus

Brno

Czech Republic

Prague

Czech Republic

Aarhus

Denmark

Copenhagen

Denmark

Tallinn

Estonia

Tartu

Estonia

Helsinki

Finland

Tampere

Finland

Lyon

France

Marseille

France

Nice

France

Paris

France

Berlin

Germany

Frankfurt

Germany

Hamburg

Germany

Munich

Germany

Athens

Greece

Thessaloniki

Greece

Budapest

Hungary

Debrecen

Hungary

Akureyri

Iceland

Reykjavík

Iceland

Cork

Ireland

Dublin

Ireland

Florence

Italy

Milan

Italy

Naples

Italy

Rome

Italy

Pristina

Kosovo

Prizren

Kosovo

Liepāja

Latvia

Riga

Latvia

Schaan

Liechtenstein

Vaduz

Liechtenstein

Kaunas

Lithuania

Vilnius

Lithuania

Esch-sur-Alzette

Luxembourg

Luxembourg City

Luxembourg

St. Julian's

Malta

Valletta

Malta

Bălți

Moldova

Chișinău

Moldova

La Condamine

Monaco

Monte Carlo

Monaco

Budva

Montenegro

Podgorica

Montenegro

Amsterdam

Netherlands

Rotterdam

Netherlands

The Hague

Netherlands

Ohrid

North Macedonia

Skopje

North Macedonia

Bergen

Norway

Oslo

Norway

Gdańsk

Poland

Kraków

Poland

Warsaw

Poland

Faro

Portugal

Lisbon

Portugal

Porto

Portugal

Bucharest

Romania

Cluj-Napoca

Romania

City of San Marino

San Marino

Serravalle

San Marino

Belgrade

Serbia

Novi Sad

Serbia

Singapore

Bratislava

Slovakia

Košice

Slovakia

Bled

Slovenia

Ljubljana

Slovenia

Barcelona

Spain

Madrid

Spain

Valencia

Spain

Gothenburg

Sweden

Stockholm

Sweden

Bern

Switzerland

Geneva

Switzerland

Zurich

Switzerland

Kyiv

Ukraine

Lviv

Ukraine

Odesa

Ukraine

Dubai

United Arab Emirates

Birmingham

United Kingdom

Edinburgh

United Kingdom

London

United Kingdom

Manchester

United Kingdom

Rome (Vatican-adjacent)

Vatican City

Training Outlines

Introduction

Healthcare analytics can improve risk identification, service planning and resource allocation, but predictive models operate in environments where errors may affect patient care and equity. Electronic health data is complex, missingness can be informative and performance may change across hospitals, populations and clinical workflows. Credible use therefore requires strong validation, calibration and human oversight.

This five-day course develops practical competence in healthcare analytics and AI predictive modelling. Participants will construct valid cohorts, prepare longitudinal data, build risk and outcome models, evaluate clinical and operational usefulness, and design controlled implementation. The course supports healthcare, quality, analytics and informatics professionals without presenting models as substitutes for clinical judgement.

Objectives

By the end of this course, participants will be able to:

Frame healthcare prediction and analytics use cases.
Construct valid patient and service cohorts.
Prepare longitudinal clinical and operational data.
Build risk, outcome and time-to-event models.
Evaluate discrimination, calibration and utility.
Assess subgroup performance and equity.
Integrate models with professional workflows.
Design governed healthcare-AI implementation.

Course Content

Day 1: Healthcare Data and Use-Case Design

Clinical and operational analytics use cases
EHR, claims and service data
Cohorts, index dates and outcomes
Prediction timing and intervention points
Privacy, consent and data governance
Healthcare use-case design workshop

Day 2: Data Preparation and Clinical Features

Longitudinal records and event sequences
Informative missingness
Coding, terminology and data quality
Clinical labels and outcome delay
Temporal and utilisation features
Healthcare-data preparation laboratory

Day 3: Predictive Healthcare Models

Risk classification and probability models
Utilisation and demand forecasting
Survival and time-to-event analysis
Tree and boosting methods
Interpretable clinical baselines
Predictive-model development laboratory

Day 4: Validation and Healthcare Utility

Discrimination and calibration
Temporal and external validation
Decision thresholds and clinical utility
Subgroup and equity analysis
Explanation and professional review
Healthcare-model challenge exercise

Day 5: Implementation and Model Governance

Workflow integration and alert design
Prospective and shadow-mode evaluation
Human oversight and escalation
Drift and outcome monitoring
Model updates and lifecycle documentation
Capstone healthcare-AI solution

Training Schedule

Below is the table of cities along with the respective dates for the upcoming training sessions of Healthcare Analytics and Predictive Modeling using AI Course. Please review the schedule to find the most convenient option for you. You can also use the below search bar to type the city name and filter the results.