AI Digital Health Hub Community
Transforming Innovation in Healthcare

Explore how you can foster innovation and digitalization in healthcare.
Dive into real-world data, collaboration, and cutting-edge solutions.

Explore

Welcome to our community!

At the AI Digital Health Hub, we believe in the transformative power of knowledge, collaboration, and innovation within the healthcare sector. Our learning community serves as a dynamic hub for enthusiasts, students, professionals, and experts in the fields of AI, Data Science, Healthcare Entrepreneurship, and Innovation.

What awaits you

Engage in Meaningful Conversations: Join our moderated forum where your voice matters. Dive into discussions prompted to spark insights and build connections within our supportive community.

Diverse Learning Opportunities: Explore our current offerings, including micro-learnings, workshops, and podcasts. Tailored courses await you at various levels and themes, providing a deeper understanding of the evolving healthcare landscape.

Digital Health Testbeds: Dive into the progress, information, and best practices of digital health testbeds from our partner organizations. Participate, provide feedback, and explore unique opportunities to be at the forefront of healthcare innovation.

Calendar: Stay informed and engaged with our calendar showcasing online and partner location events. From hackathons and matchmaking sessions to multiplier events, and lectures, find your pathway to knowledge and collaboration.

Coming soon

Matchmaking Platform: Connect with like-minded individuals, researchers, and enterprises for collaborative ventures.

Expanded Resources: Access a growing repository of open resources, events, participants to enhance your journey.

Your journey into the future of healthcare education begins now. Join us, and let's shape it together.

innovAId Inspired

Testbeds

Welcome to our digital health community, dedicated to empowering students and professionals in the ever-evolving landscape of healthcare innovation!
Let's talk about digital health testbeds – these are like the 'living labs' or 'field labs' where innovation takes center stage. Our testbeds serve as real-world laboratories, offering the ideal environment and methods to rigorously test and validate innovative products and services in actual healthcare settings. At innovAId, we're all about supporting innovation teams within Higher Education Institutions (HEIs), focusing specifically on leveraging digital technology to enhance patient care and healthcare practices. Our testbeds are tailored to facilitate and amplify the impact of these teams.
Navigating the journey from research idea to a lasting healthcare application can be a complex process. Innovation is inherently risky, expensive, time-consuming, and laden with uncertainties. We're here to streamline that process. Now, enter our digital health testbed – a haven for structured innovation within a real-world context. It's where innovation teams, composed of professionals, students, staff members, technicians, and SMEs, can immerse themselves. Here, they can meticulously test, develop, test again, and validate their groundbreaking ideas in digital care, all while getting access to real world (clinical) data.
Our mission is clear: expedite the time it takes to bring innovations to market and amplify the impact of innovations in healthcare and healthcare outcomes. We firmly believe that our testbed environment isn't just a space; it's a trailblazer in the digital innovation sphere in healthcare. We anticipate it becoming the go-to hub for sparking and nurturing new initiatives.
Stay tuned for more in-depth insights, articles, and updates on the innovative testbeds being developed at UMCU, MUG, PXL, ESEL, and IS KPI. Join us in reshaping the future of healthcare innovation!
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Cardiologist Testbed

A system which would integrate different units at the Cardiovascular Center which is being organized at the University Clinical Center (MUG).

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EIT HEI InnovAId MUG/UCK Testbed

Data storage environment for the clinical data of cardiovascular patients (CaosDB).

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Ovarian Cancer Testbed

Automatic retrieval of clinical data of ovarian cancer patients.

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ISKPI digital testbed portal

The digital testbed entry point which guides innovation ideas from staff and students through the different phases of the innovation funnel.

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PXL Testbed

A work reintegration lab has been established as a pioneering initiative to address the reintegration of long-term sick individuals into the workforce, aligning with the urgent need to determine capabilities for employment. The lab utilizes various modern technological tools to assess the possibilities of reintegrating individuals with physical complaints.

Courses

Explore our e-learning modules.

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Health Economics: The Utility of Health Economic evaluations.

This e-learning module focuses on identifying factors influencing the health system, explaining the effectiveness of care, and outlining the importance of health economic evaluation.

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Health Economics: Cost-Effectiveness and Health Effects.

This e-learning covers the explanation of cost-effectiveness, calculation of a simple cost-effectiveness, clarification of incremental cost-effectiveness ratio, elucidation of how health effects are measured, explanation of QALYs and DALYs with knowledge of their calculation and utilization, and the ability to calculate a health effect.

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Methods of Health Economic Evaluations.

This e-learning module guides you in explaining and calculating a medical decision tree.

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Project management in Healthcare: Introduction.

This is not a micro-learning that contributes to KPIs but serves as an introduction to all micro-learnings related to project management.

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Projectmanagement in Healthcare: Define.

This microlearning provides an overview of the steps in the Define phase of process management and explains its pivotal role in ensuring the success of process management initiatives.

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Project management in Healthcare: Cost of Poor Quality.

This microlearning equips participants with the ability to differentiate between traditional quality costs and hidden costs within an organization. Following this lesson, they will be proficient in illustrating the significance of these costs and understanding their impact on the overall success of projects within the organization.

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Project management in Healthcare: Who is this Customer?.

Following this lesson, you will be capable of articulating the concept of 'Customer' in your own terms and also describing and identifying both internal and external customers.

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Project management in Healthcare: Critical to Quality.

This microlearning empowers participants to construct a Critical To Quality (CTQ) tree for their problem statement and gain the ability to differentiate between Patient-Reported Experience Measures (PREM) and Patient-Reported Outcome Measures (PROM), understanding their application in the context of patient-centered care evaluations.

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Project management in Healthcare: Setting Goals.

This microlearning focuses on the accurate identification and definition of a problem statement, along with the description of the five characteristics of the SMART principle. Participants will then be able to formulate a problem statement that aligns with and embodies the SMART criteria.

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Project management in Healthcare: Project Charter.

This microlearning guides participants in listing and describing the components of a project charter, distinguishing between core and supplementary content, and applying both aspects to analyze and contextualize project charters in various scenarios.

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The Lean Startup by Eric Ries - Methodological Entrepreneurship.

This microlearning podcast on a book review aims to enhance your comprehension of the principles of a lean startup and uncover the rationale behind adopting a systematic approach in entrepreneurship.

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Writing Reproducible Manuscripts in R and Python.

Open Science practices are becoming central to the way research is conducted. In this workshop, you will learn to set up a reproducible workflow to create a publication-ready manuscript that combines data, R or Python code, text, and references.

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Contact Us

If you need any support or consultancy on the AI application in digital healthtech, please contact us