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  • Medical analytics for healthcare intelligence – Recent advances and future directions

    Author(s)
    Chen, T
    Keravnou-Papailiou, E
    Antoniou, G
    Griffith University Author(s)
    Antoniou, Grigorios
    Year published
    2021
    Metadata
    Show full item record
    Abstract
    Recent advances in information technology have facilitated the massive collection of big data in numerous areas, including the healthcare sector. Healthcare data exists in various forms that can be briefly grouped into two categories. First, there is clinical data that is directly related to patients and medical conditions. This data includes, but is not limited to, demographic data, patient history, lab test results, physical examinations, diagnostic analysis and medical notes. The proliferation of wearable devices also enables the collection of clinical data periodically through monitoring systems via wireless technology, ...
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    Recent advances in information technology have facilitated the massive collection of big data in numerous areas, including the healthcare sector. Healthcare data exists in various forms that can be briefly grouped into two categories. First, there is clinical data that is directly related to patients and medical conditions. This data includes, but is not limited to, demographic data, patient history, lab test results, physical examinations, diagnostic analysis and medical notes. The proliferation of wearable devices also enables the collection of clinical data periodically through monitoring systems via wireless technology, which supports the real-time tracking of patient care and timely adjustment of treatment plans. A second category of healthcare data originates from the business side of healthcare, such as operational and equipment costs, and logistic and administrative data which may be utilised for the optimisation of operational dynamics to support effective healthcare services and generally enhance utility in medical practice.
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    Journal Title
    Artificial Intelligence in Medicine
    Volume
    112
    DOI
    https://doi.org/10.1016/j.artmed.2021.102009
    Subject
    Engineering
    Information and computing sciences
    Publication URI
    http://hdl.handle.net/10072/407624
    Collection
    • Journal articles

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