• Special Issue Topic

    Data-informed Decision Making in Healthcare

    Submission Deadline: November 30, 2024

    Guest Editor

    Sil Aarts E-Mail

    Assistant professor, Living Lab in Ageing and Long-term Care, Department of Health Services Research, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, Netherlands.

    Research Keywords: quality of care; nursing home science; technology in healthcare; data; statistics; R(stats); qualitative research

    About the Special Issue

    Data is invaluable to health care: the availability of increasing amounts of data offer new possibilities to support personalized health care. Healthcare organisation collect large amounts of data at client, employee and organizational level: data in electronic health records or data collected by digital techniques such as sensors or wearables, but also qualitative data in the form of texts collected in, for example, multidisciplinary consultations. Hence, care organisations collect a wealth of data, and thus information. This data can be used to support shared decision making, and thus in turn, improve quality of care for clients or patients or quality of work for employees. The present Special Issue responds to the remarkable change in the focus of the use of data in healthcare, where the use of data to make informed and shared decisions in care becomes vital. This Special Issue is focused on publishing highest quality papers in areas associated to data, data science and data-informed decision making in healthcare. Papers involving the use of data and/or data science methods with relevance to care, including care echelons such as long-term care or family medicine, will be considered for publication.

    Keywords: data; data science; data-informed decision making; personalized health care

    Call for Papers

    Published Articles

    Open Access
    Systematic Review
    Do you need a blockchain in healthcare data sharing? A tertiary review
    Background: This study addresses the complexities of utilizing blockchain technology in healthcare, aiming to provide a decision-making tool for healthcare professionals and policymakers evaluati [...] Read more.
    Kun Li ... Visara Urovi
    Published: June 14, 2024 Explor Digit Health Technol. 2024;2:101–123
    DOI: https://doi.org/10.37349/edht.2024.00014
    Times Cited: 0
    Open Access
    Systematic Review
    Data science techniques to gain novel insights into quality of care: a scoping review of long-term care for older adults
    Background: The increase in powerful computers and technological devices as well as new forms of data analysis such as machine learning have resulted in the widespread availability of data scienc [...] Read more.
    Ard Hendriks ... Sil Aarts
    Published: April 12, 2024 Explor Digit Health Technol. 2024;2:67–85
    DOI: https://doi.org/10.37349/edht.2024.00012
    Times Cited: 0
    Open Access
    Original Article
    Use of responsible artificial intelligence to predict health insurance claims in the USA using machine learning algorithms
    Aim: This study investigates the potential of artificial intelligence (AI) in revolutionizing healthcare insurance claim processing in the USA. It aims to determine the most effective machine lea [...] Read more.
    Ashrafe Alam, Victor R. Prybutok
    Published: February 28, 2024 Explor Digit Health Technol. 2024;2:30–45
    DOI: https://doi.org/10.37349/edht.2024.00009