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Introducing Electronic Health Records to Automate Medical Research

Author

Listed:
  • F Bennaoui
  • Z Chabihi
  • N Elidrissi Slitine
  • FMR Maoulainine

    (Neonatal Intensive Care Unit, CHU MED VI, Marrakech, Research Laboratory: Children, Health, and Development, FMPM, Cadi Ayyad University, Morocco)

Abstract

Every medical research makes use and is centered on data, particularly patient record data; these data are then explored, queried, visualized, and used to draw new conclusions; Data is an essential aspect of any research, yet automating the data life cycle helps shorten the research life-cycle and thus helps establish a continuous research pipeline. To automate the data life-cycle, it is mandatory to define data quality metrics to assert quality guarantees; those assertions can then be identified by assessing data quality dimensions. Current medical record formats, which are mainly paper-based format, are proven to suffer from free-entry system drawbacks.

Suggested Citation

  • F Bennaoui & Z Chabihi & N Elidrissi Slitine & FMR Maoulainine, 2024. "Introducing Electronic Health Records to Automate Medical Research," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 55(4), pages 47146-47153, March.
    • Handle: RePEc:abf:journl:v:55:y:2024:i:4:p:47146-47153
    DOI: 10.26717/BJSTR.2024.55.008724
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