Identification of data elements for blood gas analysis dataset: a base for developing registries and artificial intelligence-based systems.

Journal: BMC health services research
PMID: 35260155

Abstract

BACKGROUND: One of the challenging decision-making tasks in healthcare centers is the interpretation of blood gas tests. One of the most effective assisting approaches for the interpretation of blood gas analysis (BGA) can be artificial intelligence (AI)-based decision support systems. A primary step to develop intelligent systems is to determine information requirements and automated data input for the secondary analyses. Datasets can help the automated data input from dispersed information systems. Therefore, the current study aimed to identify the data elements required for supporting BGA as a dataset.

Authors

  • Sahar Zare
    Health Information Management Research Center (HIMRC), Kashan University of Medical Sciences, Kashan, Iran.
  • Zahra Meidani
    Health Information Management Research Center (HIMRC), Kashan University of Medical Sciences, Kashan, Iran.
  • Maryam Ouhadian
    Anesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Hosein Akbari
    Department of Epidemiology and Biostatistics, School of Health, Kashan University of Medical Sciences, Kashan, Iran.
  • Farid Zand
    Anesthesiology and Critical Care Research Center, Nemazee Hospital, Shiraz University of Medical Sciences, Shiraz, I.R. Iran.
  • Esmaeil Fakharian
    Trauma Research Center, Kashan University of Medical Sciences, Kashan, Iran.
  • Roxana Sharifian

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