A telehealth system for automated diagnosis of asthma and chronical obstructive pulmonary disease.

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID: 29788482

Abstract

This paper presents the development and real-time testing of an automated expert diagnostic telehealth system for the diagnosis of 2 respiratory diseases, asthma and Chronic Obstructive Pulmonary Disease (COPD). The system utilizes Android, Java, MATLAB, and PHP technologies and consists of a spirometer, mobile application, and expert diagnostic system. To evaluate the effectiveness of the system, a prospective study was carried out in 3 remote primary healthcare institutions, and one hospital in Bosnia and Herzegovina healthcare system. During 6 months, 780 patients were assessed and diagnosed with an accuracy of 97.32%. The presented approach is simple to use and offers specialized consultations for patients in remote, rural, and isolated communities, as well as old and less physically mobile patients. While improving the quality of care delivered to patients, it was also found to be very beneficial in terms of healthcare.

Authors

  • Lejla Gurbeta
    Department of Genetics and Bioengineering, International Burch University, Francuske revolucije bb, Ilidza, 71210, Sarajevo, Bosnia and Herzegovina.
  • Almir Badnjević
    Faculty of Pharmacy, University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
  • Mirjana Maksimovic
    Faculty of Electrical Engineering, University of East Sarajevo, Sarajevo, Bosnia and Herzegovina.
  • Enisa Omanovic-Miklicanin
    Faculty of Agriculture and Food Sciences, University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
  • Ervin Sejdić
    Department of Electrical and Computer Engineering, University of Pittsburgh, Benedum Hall, Pittsburgh, PA 15260, USA. Electronic address: esejdic@ieee.org.

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