Innovation & quality in neonatology
Value based healthcare, outcome prediction, quality of care and patient safety
Research aim
We aim to improve the long-term health of critically ill infants at risk of neonatal brain damage by enhancing care quality and integrating clinical and patient-reported outcomes with advanced predictive techniques.
About us
Our research combines the assessment of short- and long-term clinical outcomes, patient-reported outcomes, and experiences with care. We develop innovative methods for outcome prediction using clinical data and artificial intelligence. These insights are integrated into clinical decision-making to elevate care quality and patient experience.
Value-Based Healthcare (VBHC)
VBHC focuses on optimizing patient outcomes and experiences while simultaneously reducing healthcare costs. By measuring clinical outcomes, patient-reported outcomes, and patient-reported experiences with care, healthcare providers gain insights into the effectiveness of their interventions, which are vital for shared decision-making and improving outcomes.
Outcome Prediction
Outcome prediction plays a crucial role in improving outcomes because it allows healthcare providers to anticipate potential complications and adverse events. By developing innovative methods for outcome prediction using artificial intelligence, healthcare providers can identify high-risk patients early on and intervene proactively to prevent or minimize adverse outcomes. This proactive approach not only improves patient outcomes but also reduces costs.
Partnerships
We partner with medical professionals, patients/parents, VBHC-experts, data scientists, and machine learning engineers.
Conclusion
ICN aims to reshape neonatal care by improving patient-reported outcomes, predictive techniques, and collaborative decision-making.