IDEAS home Printed from https://ideas.repec.org/a/bjf/journl/v9y2024i10p375-396.html
   My bibliography  Save this article

A Pilot Study on Handling Transactional BigDataStream for Improved Electronic Medical Health Records Management

Author

Listed:
  • Nwozor, Blessing U

    (Dept of Computer Science, Federal University of Petroleum Resources Effurun, Nigeria)

  • Asheshemi, Nelson Oghenekevwe

    (Dept of Computer Science, Federal University of Petroleum Resources Effurun, Nigeria)

Abstract

One main objective of electronic medical health records is to provide quality support to aid effective decision making for patients by expert personnel and consultants. A major and efficient means to achieve the highest level of quality therein the healthcare delivery system and infrastructure therein is by discovering meaningful data to aid its future classification and prediction of patients’ activities and conditions visà vis a plethora of other events that may(not) occur within a healthcare system. Identifying and detecting values of abnormal health state of patients and the future forecast of such events via underlying health condition(s) that are hidden within medical records have since become a critical performance index (aim) in healthcare systems. Result showed that system throughput to determine the time interval between a user’s request and apps response time as user feedback yields an average convergence time of 18secs with support 0.1. and confidence 0.1 values. We also assessed its availability, reachability, scalability and resilience with response time for both queries and page retrievalvia cases of 250 and 1000users respectively. Result showed response time of 59secs (queries) and 63secs (pages retrieval)for250users; And had a longer response time of 78secs (queries) and 85secs (page retrieval) for 1000users respectively.

Suggested Citation

  • Nwozor, Blessing U & Asheshemi, Nelson Oghenekevwe, 2024. "A Pilot Study on Handling Transactional BigDataStream for Improved Electronic Medical Health Records Management," International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 9(10), pages 375-396, October.
  • Handle: RePEc:bjf:journl:v:9:y:2024:i:10:p:375-396
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijrias/digital-library/volume-9-issue-10/375-396.pdf
    Download Restriction: no

    File URL: https://rsisinternational.org/journals/ijrias/articles/a-pilot-study-on-handling-transactional-bigdatastream-for-improved-electronic-medical-health-records-management/
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bjf:journl:v:9:y:2024:i:10:p:375-396. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Renu Malsaria (email available below). General contact details of provider: https://rsisinternational.org/journals/ijrias/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.