The Design of NEVI: Neonatal Evaluation and Visualization Interface for Improved Care Evaluation and Data Exploration

Imke P.O. Bun

    Research output: ThesisEngD Thesis

    Abstract

    In neonatal intensive care, conducting care evaluations and retrospective research is essential for improving patient outcomes. This requires advanced data analysis and visualization of patient monitoring signals, such as heart rate (HR) and oxygen saturation (SpO2). Additionally, deriving heart rate variability (HRV) from these signals is important, as it provides valuable insights into the patient’s overall wellbeing and neurological development. Despite the significance of these data, clinicians and researchers often encounter difficulties accessing and interpreting the high-temporal resolution information collected from neonatal patient monitors. This deficiency in data accessibility limits both the retrospective evaluation of clinical interventions and the exploration of long-term trends that are critical for advancing neonatal care.
    At Máxima Medical Center (MMC) in Veldhoven, the Netherlands, a top clinical hospital with a Neonatal Intensive Care Unit (NICU), patient monitoring data have been collected and stored over several years using Philips’ Data Warehouse Connect system. However, the absence of user-friendly tools to analyse this data has restricted healthcare professionals from fully utilizing these insights for care evaluation and research.
    To address this need, the Neonatal Evaluation and Visualization Interface (NEVI) was developed. NEVI is a visualization tool designed to make NICU physiological data more accessible and interpretable for clinical researchers. Data from electronic medical records were also integrated, providing added context about the patients. Developed with input from MMC’s clinical researchers, NEVI was refined through three design iterations. After each iteration, evaluations were conducted with end-users to optimize functionality. Eventually, three different versions of NEVI were created, each focusing on key NICU research areas: Sepsis-IL6, LISA, and PRICO.
    Results showed substantial improvements in usability scores after the initial and subsequent iterations, highlighting NEVI’s effectiveness in giving users a better overview of physiological patient monitoring data for further analysis. This feature is crucial for enabling data exploration for research purposes.
    By facilitating retrospective analysis of patient monitoring data, NEVI supports more effective evaluations of neonatal care and fosters research that can lead to better patient outcomes. Through this platform, clinical researchers gain a clearer understanding of developmental trends and the impact of interventions over time, enhancing their ability to investigate the physiological patterns essential to neonatal health.
    Original languageEnglish
    Supervisors/Advisors
    • Minkels, Teun, Supervisor
    • van Pul, Carola, Supervisor
    • Klopmeijer, Tamara S., External supervisor
    • Andriessen, Peter, Supervisor
    Place of PublicationEindhoven
    Publisher
    Publication statusPublished - 4 Dec 2024

    Bibliographical note

    EngD thesis. - Embargo until 5-12-2025

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