Use Case Outcomes

Prostate Cancer

• Better health outcomes through system integration and inclusion of Patient Reported Outcome Measures (PROM) for decisions
• Improved staff experience through making paperwork partly obsolete
• Better patient experience through empowerment easily accessible knowledge and tools allowing for true patient centered care

Aortic Aneurysm

• Efficient MDT meeting and patient treatment with availability of required information thereby not postponing the patient case
• Reduced burden on physicians and reduction of errors through reporting automatically consolidated from various sources
• Smart treatment suggestions following current clinical guidelines as a starting point which will be used to prepare the final plan. Furthermore, 3D image reconstructions, quantitative analysis and risk assessment (AI -based) apps will be present to aid treatment decisions and treatment evaluation

Atrial Fibrillation

• Optimization of treatment with better analytics and availability of information. AF is an expensive disease and also because understanding of AF is limited, treatment is commonly ineffective. Improving the estimation of treatment outcome has therefore a huge impact on the patient’s health and on society.

Multiple Sclerosis

• Improved analysis of radiology images and reports through interoperable AI modules for analyzing radiology images and reports. Novel approaches in AI modules will entail consuming data from radiology images, texts, sensors and other tabular sources at the same time.
• Providing better data access, visualizations, notifications and insights about data through a mobile/web app for both patients and clinicians.

Innovations

• Comprehensive interoperability
  • Foundational, Structural & Semantic: Leverage and enhance interoperability protocols like DICOM, FHIR, HL7 v2 & v3
  • Organizational: Leverage and enhance IHE profiles and FHIR profiles
• Enhanced clinical decision making with the help of AI
  • Empower clinicians to make faster, data-supported decisions in complex cases of Aortic Aneurysm, Atrial Fibrillation, Prostate Cancer, and Multiple Sclerosis through advanced AI insights, improving diagnostic accuracy and patient outcomes
• Modelling of disease specific guidelines
  • Create use case specific clinical pathway models from established clinical guidelines
• Disease specific open healthcare IT-ecosystems
  • Define and deploy the actors, rules and protocols for disease specific open healthcare IT-ecosystems

Top Technical Achievements

• One reference architecture for all – the blueprint for ecosystem technology framework (WP2)
• Clinical pathway models leveraged across use cases (WP3)
• 5 AI models, 16 AI algorithms, 23 AI tools developed across four use cases (WP4)
• Standardized data backbones for the use cases (WP5)
• Whitepaper: Building the Foundations for Standardized Clinical AI (WP7) (introduced a new public deliverable for this purpose)
• Philips SYMPHONY visualization of standardized AI Results objects are leveraged and extended in IHI IDERHA HTA (Hospital Technology Assessment) explainability context
• Aortic Aneurysm use case architecture deployed in liver tumor segmentation as well
• Contribution to environmental sustainability through fewer duplicate exams and hospital visits
• Integrated Prostate Cancer Use Case demonstrator (Karolinska University Hospital, Cambio, Cuviva, Karolinska Institute)
• Integrated  Aortic Aneurysm Use Case demonstrator (Leiden UMC, Philips, Sopheon, MedRecord)
• Integrated Multiple Sclerosis Use Case demonstrator (Innova, Philips, ARD, Tazi, Intellectia CS, Karolinska Institute, AICRUM IT, Sopheon  –  Partners from four countries)
• Semi-Integrated Atrial Fibrillation Use Case demonstrator (Amsterdam UMC, iClinic, MedRecord, Sopheon – Partners from two countries)