Evaluation of the Effect of Intensive Nursing Intervention Based on Process Analysis.

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  • Author(s): Zhang Z;Zhang Z; Zhu H; Zhu H
  • Source:
    Computational and mathematical methods in medicine [Comput Math Methods Med] 2021 Dec 06; Vol. 2021, pp. 8769780. Date of Electronic Publication: 2021 Dec 06 (Print Publication: 2021).
  • Publication Type:
    Evaluation Study; Journal Article; Retracted Publication
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Hindawi Country of Publication: United States NLM ID: 101277751 Publication Model: eCollection Cited Medium: Internet ISSN: 1748-6718 (Electronic) Linking ISSN: 1748670X NLM ISO Abbreviation: Comput Math Methods Med Subsets: MEDLINE
    • Publication Information:
      Publication: 2011- : New York : Hindawi
      Original Publication: London : Taylor & Francis, c2006-
    • Subject Terms:
      Nursing Process*/standards ; Nursing Process*/statistics & numerical data; Critical Care Nursing/*methods ; Nursing Informatics/*methods; China ; Computational Biology ; Critical Care Nursing/standards ; Critical Care Nursing/statistics & numerical data ; Humans ; Models, Nursing ; Myocardial Infarction/nursing ; Nursing Informatics/statistics & numerical data ; Quality of Health Care ; Software ; Systems Analysis ; Workflow
    • Abstract:
      In order to achieve significant improvements in the evaluation of key indicators such as speed, quality, cost, and service, this paper fundamentally rethinks and completely redesigns the business process, and recreates a new business process. This study combines the particularity of AMI with emergency nursing to construct an in-hospital AMI emergency nursing process to further standardize the AMI rescue work. The implementation of the process helps to clarify the responsibilities and requirements of nurses in the AMI emergency process, reduce the delay time of AMI emergency, and improve the efficiency and effectiveness of emergency. In addition, after refactoring the business process, this paper builds an intelligent digital critical illness monitoring system. This system combines the original work flow of the ICU medical staff, optimizes the work flow of the medical staff through computer technology and information technology, and designs and completes the digital intensive nursing system software to run and use in the hospital and obtain significant results.
      Competing Interests: The authors declare that they have no conflicts of interest.
      (Copyright © 2021 Zhiying Zhang and Huiju Zhu.)
    • Comments:
      Retraction in: Comput Math Methods Med. 2022 Dec 11;2022:9873958. (PMID: 36540282)
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    • Publication Date:
      Date Created: 20211216 Date Completed: 20220214 Latest Revision: 20221221
    • Publication Date:
      20240105
    • Accession Number:
      PMC8668331
    • Accession Number:
      10.1155/2021/8769780
    • Accession Number:
      34912473