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ÁreaTítuloPalavras-chaveDescrição
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Saúde Digital , IA ClínicaIntensive care
Organ donors
Inteligência artificial; Early Warning Score; Monitorização de doentes; Dados clínicos; Predição de risco; Apoio à decisão clínica; Internamento; InteroperabilidadeThe timely identification of potential organ donors remains a significant clinical challenge. Although relevant clinical and imaging indicators are available, they are often dispersed across different hospital systems, delaying intervention. This challenge aims to develop an AI-based solution capable of continuously analysing predefined clinical and imaging variables to generate real-time alerts, supporting clinicians in identifying and monitoring potential donors while reducing missed opportunities and preventing clinical deterioration.
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Cardiologia; Inteligência Artificial; Diagnóstico por Imagem; Saúde DigitalDevelopment of an AI-Based Non-Invasive Index for Coronary Microvascular DysfunctionCoronary Microvascular Dysfunction (CMD); Coronary Flow Reserve (CFR); Artificial Intelligence (AI); Machine Learning; Non-invasive Diagnosis; Cardiovascular Imaging; Echocardiography; Cardiovascular Risk Stratification; Clinical Decision Support; Treatment Monitoring; Digital Biomarkers; Precision Cardiology; Clinical Data; Patient Screening; Predictive Analytics.Coronary microvascular dysfunction has important diagnostic and prognostic value, but current assessment relies largely on invasive procedures. Leveraging existing clinical datasets, this challenge seeks innovative AI solutions capable of developing reliable non-invasive indexes to support earlier diagnosis, cardiovascular risk stratification, and treatment monitoring.
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Intensive Care; Clinical Nutrition; Artificial Intelligence; Digital Health
AI-Based Early Warning System for Malnutrition Risk in Intensive Care UnitsMalnutrition; Intensive Care Unit (ICU); Artificial Intelligence (AI); Machine Learning; Clinical Decision Support; Early Warning System; Skeletal Muscle Mass Index (SMI); Computed Tomography (CT); Clinical Data Warehouse; Nutrition Support; Artificial Nutrition; Predictive Analytics; Explainable AI (XAI); Clinical Nutrition; Personalized Nutrition; Patient Monitoring.Malnutrition is common in intensive care patients but frequently remains underdiagnosed. This challenge aims to develop an AI-based early warning system that integrates routinely collected clinical data to identify patients at risk of muscle loss or prolonged artificial nutrition, enabling earlier nutritional intervention and improving patient outcomes.
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Digital Health; Clinical Decision Support; Health Interoperability; Artificial IntelligenceFHIR-Based Framework for Deploying AI Clinical Decision Support ModelsFHIR R4; SMART on FHIR; CDS Hooks; Artificial Intelligence (AI); Machine Learning Operations (MLOps); Clinical Decision Support (CDS); Electronic Health Records (EHR); Health Interoperability; Intensive Care Unit (ICU); Predictive Analytics; Real-Time Clinical Data; Explainable AI (XAI); GDPR Compliance; Healthcare APIs; On-Premises Deployment; Sovereign Cloud.Many validated AI models fail to reach routine clinical practice due to integration challenges. This challenge seeks a reusable technical framework capable of integrating AI services into hospital information systems through FHIR standards, enabling secure, interoperable, and scalable deployment of predictive models directly within clinical workflows.
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Hospital Operations; Workforce Management; Operating Room Management; Digital HealthAI-Powered Scheduling and Resource Optimization for Healthcare Workforce and Operating RoomsHealthcare Workforce Management; Staff Scheduling; Operating Room (OR) Scheduling; Artificial Intelligence (AI); Resource Optimization; Clinical Operations; Shift Planning; Surgery Scheduling; Capacity Management; Bed Management; Hospital Efficiency; Predictive Scheduling; Decision Support; Healthcare Logistics; Operational Planning; Workflow Automation.The scheduling of healthcare professionals and operating rooms is often fragmented and manually managed, leading to inefficiencies, delays, and underutilisation of resources. This challenge aims to develop an intelligent scheduling solution capable of optimising staff allocation, surgery planning, and resource management while improving operational efficiency.
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Hospital Pharmacy; Medication Management; Digital Health; Healthcare LogisticsAI-Enabled Medication Supply and Inventory Management SystemMedication Management; Hospital Pharmacy; Drug Inventory Management; Real-Time Inventory; Medication Safety; Artificial Intelligence (AI); Clinical Decision Support; Electronic Medication Administration Record (eMAR); Drug Traceability; Stock Optimization; Supply Chain Management; Medication Reconciliation; Duplicate Medication Prevention; Automated Alerts; Hospital Logistics; Interoperability.Medication management remains vulnerable to fragmented information, inconsistent records, and inefficient stock control. This challenge seeks innovative digital solutions capable of integrating pharmacy, inventory, and clinical systems to improve medication safety, optimise stock management, and support real-time decision-making.
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Cardiologia; Inteligência Artificial; Apoio à Decisão ClínicaDesenvolvimento de soluções de Inteligência Artificial para predição precoce do risco cardiovascularInteligência Artificial; Predição de Risco Cardiovascular; Cardiologia; Modelos Preditivos; Estratificação de Risco; Apoio à Decisão Clínica; Análise de Dados Clínicos; Alertas Clínicos; Medicina Preventiva; Saúde Digital; Dados Anonimizados. Early identification of cardiovascular risk remains challenging, particularly when clinically relevant signals are dispersed across large volumes of patient data. This challenge seeks innovative AI solutions capable of analysing multimodal clinical data to predict cardiovascular risk earlier, support clinical decision-making, and enable timely preventive interventions.
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Digital Therapeutics; Saúde Digital; Inovação em Cuidados de SaúdeDesenvolvimento de soluções digitais para potenciar a adoção e o impacto das Digital TherapeuticsDigital Therapeutics; DTx; Saúde Digital; Adesão Terapêutica; Monitorização Remota; Medicina Personalizada; Apoio à Decisão Clínica; Resultados em Saúde; Inovação em Saúde; Percursos Assistenciais; Engagement do Doente.Digital Therapeutics are emerging as valuable tools to support disease prevention, monitoring, and treatment. However, challenges remain regarding their integration into clinical pathways, user adoption, and demonstration of clinical value. This challenge seeks innovative digital solutions that enhance patient engagement, remote monitoring, personalised interventions, and health outcomes.
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Capacitação de Profissionais de Saúde para a AI, usando AIDesenvolvimento de soluções para capacitação de profissionais de saúde na adoção da Inteligência ArtificialInteligência Artificial; Literacia em IA; Capacitação; Formação de Profissionais de Saúde; Apoio à Decisão Clínica; Modelos Preditivos; Classificação de Doenças; Transformação Digital; Adoção Tecnológica; Eficiência Operacional; Saúde Digital.The successful adoption of AI in healthcare depends on empowering professionals with the knowledge and skills required to use these technologies effectively. This challenge aims to develop innovative solutions that support AI training, practical learning, and competency development, enabling healthcare professionals to confidently integrate AI into clinical practice.
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Prescrição Social e Prevenção na ProximidadeDesenvolvimento de soluções de Inteligência Artificial para apoiar a prescrição social e a prevenção em cuidados de saúde primáriosInteligência Artificial; Cuidados de Saúde Primários; Prescrição Social; Medicina Preventiva; Estratificação de Risco; Apoio à Decisão Clínica; Determinantes Sociais da Saúde; Saúde Comunitária; Análise de Dados; Saúde Digital; Intervenção Precoce.Preventive healthcare increasingly requires stronger integration between clinical care and community-based interventions. This challenge seeks AI-powered solutions capable of identifying individuals who may benefit from social prescribing, supporting healthcare professionals with actionable insights and improving preventive, person-centred care.
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Economia da Saúde; Inteligência Artificial; Políticas PúblicasDesenvolvimento de modelos de Inteligência Artificial para financiamento de longo prazo da prevenção em saúdeInteligência Artificial; Economia da Saúde; Financiamento Baseado em Valor; Pooled Budgets; Prevenção; Determinantes Sociais da Saúde; Modelação Preditiva; Avaliação de Impacto; Políticas Públicas; Sustentabilidade; Apoio à Decisão.Current healthcare funding models often fail to capture the long-term value of prevention. This challenge seeks innovative AI solutions capable of supporting new financing approaches, including pooled budgets and predictive models, to strengthen prevention strategies and improve long-term population health outcomes.
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IA em Saúde com Conformidade Regulatória desde a OrigemDesenvolvimento de soluções para integrar requisitos regulatórios e de confiança no desenvolvimento de IA em saúdeInteligência Artificial; AI by Design; Compliance by Design; IA Confiável; Regulamentação; Software como Dispositivo Médico (SaMD); Dispositivos Médicos; Gestão de Risco; Explicabilidade; Qualidade dos Dados; Privacidade; Cibersegurança; Governação de Dados; Saúde Digital.Developing AI solutions for healthcare requires innovation to be accompanied by safety, transparency, and regulatory compliance from the outset. This challenge seeks tools, methodologies, or platforms that integrate explainability, risk management, cybersecurity, privacy, and regulatory requirements into the design of trustworthy AI systems.
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Descoberta de Fármacos; Inteligência Artificial; BioinformáticaDesenvolvimento de soluções baseadas em IA para acelerar a descoberta de novos fármacosDescoberta de Fármacos; Drug Discovery; Inteligência Artificial; Bioinformática; Modelação Molecular; Química Computacional; Análise de Dados; Machine Learning; Predição de Compostos; Simulação Molecular; Desenvolvimento de Medicamentos; Investigação Biomédica.Drug discovery remains a lengthy, costly, and scientifically complex process. This challenge seeks AI-driven solutions capable of accelerating molecular analysis, identifying promising therapeutic candidates, and supporting data-driven prioritisation of compounds to improve the efficiency of pharmaceutical research.
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Dermatology, CancerAI-Powered Early Detection of Skin CancerSkin Cancer, Early Detection, Dermatology, Patient Empowerment, Medical ImagingEarly detection of skin cancer significantly improves clinical outcomes, yet access to timely diagnosis remains limited. This challenge seeks scalable AI-powered solutions that support patients and healthcare professionals in the early identification of suspicious skin lesions, enabling faster clinical assessment and intervention.
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Trauma, ManagementAI-Driven Digital Trauma Pathway for Emergency and Polytrauma CareTrauma Management, Emergency Care, Clinical Decision Support
Hospital Interoperability, Real-Time Data Integration		Trauma care requires rapid coordination between multiple clinical teams and hospital systems. This challenge seeks an integrated digital solution capable of supporting the entire trauma pathway through real-time data sharing, AI-assisted decision support, workflow coordination, and seamless integration with existing hospital information systems.
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Management, TrainingAI-Supported Training and Competency Management for Healthcare ProfessionalsHealthcare Training, Competency Management
AI-Powered Learning, Clinical Simulation, Workforce Development		Healthcare organisations require continuous workforce development while adapting to increasingly complex clinical environments. This challenge seeks AI-powered solutions that personalise learning, manage competencies, support onboarding, and improve the continuous training of healthcare professionals.
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Management, Perioperative CareAI-Powered Digital Pre-Operative Pathway for Ambulatory and Short-Stay SurgeryPre-Operative Pathway, Ambulatory Surgery,
Patient Engagement, Operating Room Optimization
AI in Healthcare		The pre-operative pathway is often fragmented, relying on manual processes that contribute to surgical cancellations and inefficient use of operating rooms. This challenge seeks intelligent digital solutions that automate patient assessment, communication, scheduling, and risk prediction to improve both clinical safety and operational efficiency.
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EmergencyIntegrated Digital Emergency Assessment and Clinical Documentation PlatformEmergency Department, Electronic Health Records
Clinical Documentation, Medical Imaging Integration, Multimodal Patient Data		Emergency department assessments frequently generate information that is not fully integrated into the patient's electronic clinical record. This challenge seeks a digital platform capable of automatically consolidating clinical observations, diagnostic results, medical images, and multimedia data into a unified electronic health record.
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Clinical Decision Support, Patient MonitoringEarly Detection of Clinical Deterioration in Inpatient WardsEarly Warning System, Clinical Deterioration
Predictive Analytics, Patient Monitoring, AI in Healthcare		The early detection of clinical deterioration remains a major challenge in hospital wards, where continuous patient monitoring is often limited. This challenge seeks an AI-powered Early Warning System capable of analysing multimodal clinical data in real time to predict deterioration, generate risk-based alerts, and support timely clinical intervention.
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Health IT, Resilience Clinical Continuity System for IT Downtime (CONTINGEST)Business Continuity, Healthcare Cybersecurity
Clinical Resilience, Downtime Management
Health Information Systems		Healthcare services rely heavily on digital information systems, making system outages a significant risk to patient safety and continuity of care. This challenge seeks a resilient solution capable of ensuring secure access to essential clinical information during planned or unplanned downtime while supporting contingency workflows and organisational resilience.
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CybersecurityIntelligent Cybersecurity in Hospital Environments Cybersecurity, Threat Intelligence, AI-Based Detection,
SOC Automation, Critical Infrastructure		Healthcare organisations face increasingly sophisticated cyber threats that can compromise patient safety and service continuity. This challenge seeks AI-powered cybersecurity solutions capable of detecting, prioritising, and responding to threats in real time, improving cyber resilience while minimising disruption to clinical operations.
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Patient Journey Management, Healthcare AnalyticsPatient Journey Intelligence PlatformPatient Journey, Process Mining, Predictive Analytics
Care Coordination, Patient Engagement		Patient care pathways are often fragmented across multiple healthcare services, limiting visibility and coordination throughout the care continuum. This challenge seeks an intelligent platform capable of analysing the entire patient journey, identifying bottlenecks, optimising patient flows, and improving care coordination through predictive analytics and personalised communication.
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Integrated Clinical Decision SupportIntegrated Clinical Decision Support Across Primary and Hospital CareClinical Decision Support, Chronic Disease Management
Integrated Care, Healthcare Interoperability, Risk Stratification		The management of chronic patients across primary and hospital care remains fragmented, leading to duplicated procedures and inconsistent clinical decisions. This challenge seeks an integrated Clinical Decision Support System that consolidates relevant patient information, supports evidence-based decision-making, and improves continuity of care across healthcare settings.
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Data AnonymisationPrivacy-by-Design Data Anonymisation for Clinical ResearchData Anonymisation, GDPR Compliance,
Health Data Governance, Secondary Use of Data
EHDS		The secondary use of healthcare data for research and innovation is often limited by privacy and regulatory constraints. This challenge seeks secure solutions for anonymisation and pseudonymisation that enable compliant data reuse while preserving data utility, supporting research, innovation, and alignment with European health data standards.
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AdministrativeAI-Driven Clinical Incident Intelligence PlatformIncident Management, Predictive Analytics,
Clinical Operations, IT Resilience, AI Monitoring		Operational and IT incidents can significantly impact clinical workflows and patient safety. This challenge seeks an intelligent platform capable of integrating incident data, prioritising events according to their clinical impact, and supporting proactive decision-making through real-time monitoring and predictive analytics.
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AdministrativeIntelligent Real-Time Hospital Transport Fleet Management SystemFleet Management, Route Optimization, Real-Time Tracking
Operational Efficiency, Smart Logistics		Hospital transport services often rely on fragmented and manual processes, reducing operational efficiency and resource utilisation. This challenge seeks an intelligent fleet management solution capable of optimising transport requests, routes, vehicle allocation, and real-time communication while improving service visibility for users.
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Patient Flow Management AI-Driven Bed Management and Emergency Flow Optimization PlatformBed Management, Emergency Department,
Patient Flow, Real-Time Analytics, Hospital Operations		Efficient patient allocation depends on accurate, real-time information about bed availability and emergency department demand. This challenge seeks a digital solution capable of integrating bed management with emergency department needs, supporting faster patient allocation and more efficient hospital capacity management.
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Digital InfrastructureAI-Powered Hospital IT Monitoring and Predictive Failure Detection PlatformIT Monitoring, Predictive Maintenance, Anomaly Detection, Hospital Interoperability, Operational ResilienceHospital IT environments are increasingly complex, supporting critical clinical and operational services. This challenge seeks an AI-based solution capable of continuously monitoring applications and infrastructure, detecting anomalies in real time, and proactively identifying risks before service disruptions occur.
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Patient-Centred Care / AI in HealthcareYour AI Health Coach: A 360° Personal Health CompanionPatient Engagement, Digital Health Assistant,
Preventive Care, Personalised Healthcare, AI in Healthcare		Patients often experience fragmented healthcare journeys, making it difficult to manage appointments, treatments, and follow-up care. This challenge seeks an AI-powered digital health companion that provides personalised guidance, proactive recommendations, medication support, and continuous engagement, improving both patient experience and health outcomes.
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Clinical Research Management & Research GovernanceIntegrated Research Governance and Clinical Study Management PlatformClinical trials management, Research system integrationClinical research management is frequently fragmented across multiple systems, limiting efficiency and institutional oversight. This challenge seeks an integrated governance platform capable of connecting existing research systems, streamlining the entire research lifecycle, and providing real-time monitoring, reporting, and compliance across clinical studies.
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