Volume 16, Number 1 (2-2017)                   jhosp 2017, 16(1): 9-16 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Ghaemi M M, Moghaddasi H, Kazemi A. Using Clinical Decision Support Systems to Differentiate Cardiac from non-Cardiac Chest Pain. jhosp. 2017; 16 (1) :9-16
URL: http://jhosp.tums.ac.ir/article-1-5701-en.html

1- PhD candidate of Medical Informatics, Department of Health Information Technology & Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2- Associated Professor, Department of Health Information Technology & Management, School of Allied Medical Sciences , Shahid Beheshti University of Medical Sciences, Tehran, Iran
3- Assistant Professor, Department of Health Information Technology & Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran, (*Corresponding author), Email: alireza.kazemi@sbmu.ac.ir, Address: Darband St., Qods Sq.,Tehran, Iran
Abstract:   (2344 Views)

Background: Despite the fact that only one-third of chest pains occur due to heart diseases, still physicians have tendency to admit most of these patients to reduce risk of negligence and its consequences.Clinical decision support systems (CDSS) enable physicians to distinguish better cardiac from non-cardiac chest pain. This study reviewed articles which focused on this issue.

Materials and Methods: Google scholar and PubMed database were targeted for search. Out of ninety primary matching articles based on the title, abstract and keywords, 28 full texts were relevant which were included in this study.

Results: Included articles were classified into two categories such as managing hospital resources and increasing the accuracy of diagnosis. Study results in the first categoryshowed decrease in both reception and referral time up to 30% and length of hospital stay up to 26% using CDSS. In the second category, the highest reported accuracy of diagnosis was 97% and the maximum sensitivity and specificity were 100% and 89.43% respectively. Even though, the results of a study revealed that the accuracy of decision support system in diagnosing cardiac chest pain was better than the compared cardiologists.

Conclusion: Considering the role of CDSS in managing hospital resources and improving accuracy of diagnosing cardiac chest pain, it is suggested that emergency wards and cardiac screening centers equipped by these systems.

Full-Text [PDF 618 kb]   (638 Downloads)    
Type of Study: Review Article | Subject: کیفیت خدمات و ایمنی بیمار در بیمارستان
Received: 2016/07/10 | Accepted: 2016/11/13 | Published: 2017/02/5

Add your comments about this article : Your username or email:
Write the security code in the box

© 2017 All Rights Reserved | Journal of Hospital

Designed & Developed by : Yektaweb