Support System for Early Diagnosis of Chronic Obstructive Pulmonary Disease Based on the Service-Oriented Architecture Paradigm and Business Process Management Strategy: Development and Usability Survey Among Patients and Health Care Providers.

Background: Chronic obstructive pulmonary disease (COPD) is a chronic respiratory disease with a high global prevalence. The main scientific societies dedicated to the management of this disease have published clinical practice guidelines for quality practice. However, at present, there are importan...

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Publicado en:Journal of Medical Internet Research Vol. 22; no. 3
Autores principales: Fernández, Alberto De Ramón, Fernández, Daniel Ruiz, Marcos-Jorquera, Diego, Iglesias, Virgilio Gilart, De Ramón Fernández, Alberto, Ruiz Fernández, Daniel, Gilart Iglesias, Virgilio
Formato: research Journal Article
Publicado: JMIR Publications Inc. Mar2020
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2020
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        10.2196/17161
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        atl: Support System for Early Diagnosis of Chronic Obstructive Pulmonary Disease Based on the Service-Oriented Architecture Paradigm and Business Process Management Strategy: Development and Usability Survey Among Patients and Health Care Providers.
      aug:
        au:
          Fernández, Alberto De Ramón
          Fernández, Daniel Ruiz
          Marcos-Jorquera, Diego
          Iglesias, Virgilio Gilart
          De Ramón Fernández, Alberto
          Ruiz Fernández, Daniel
          Gilart Iglesias, Virgilio
        affil: Department of Computer Technology, University of Alicante, San Vicente del Raspeig, Alicante, Spain
      sug:
        subj:
          Health Personnel
          Pulmonary Disease, Chronic Obstructive Diagnosis
          Adult
          Female
          Human
          Early Diagnosis
          Male
          Prevalence
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
          Adult: 19-44 years
          Female
          Male
      ab: Background: Chronic obstructive pulmonary disease (COPD) is a chronic respiratory disease with a high global prevalence. The main scientific societies dedicated to the management of this disease have published clinical practice guidelines for quality practice. However, at present, there are important weaknesses in COPD diagnosis criteria that often lead to underdiagnosis or misdiagnosis.Objective: We sought to develop a new support system for COPD diagnosis. The system was designed to overcome the weaknesses detected in current guidelines with the goals of enabling early diagnosis, and improving the diagnostic accuracy and quality of care provided.Methods: We first analyzed the main clinical guidelines for COPD to detect weaknesses that exist in the current diagnostic process, and then proposed a redesign based on a business process management (BPM) strategy for its optimization. The BPM system acts as a backbone throughout the process of COPD diagnosis in this proposed approach. The newly developed support system was integrated into a health information system for validation of its use in a hospital environment. The system was qualitatively evaluated by experts (n=12) and patients (n=36).Results: Among the 12 experts, 10 (83%) positively evaluated our system with respect to increasing the speed for making the diagnosis, helping in interpreting results, and encouraging opportunistic diagnosis. With an overall rating of 4.29 on a 5-point scale, 27/36 (75%) of patients considered that the system was very useful in providing a warning about possible cases of COPD. The overall assessment of the system was 4.53 on a 5-point Likert scale with agreement to extend its use to all primary care centers.Conclusions: The proposed system provides a functional method to overcome the weaknesses detected in the current diagnostic process for COPD, which can help foster early diagnosis, while improving the diagnostic accuracy and quality of care provided.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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