Literature DB >> 24768080

Attitude of Iranian physicians and nurses toward a clinical decision support system for pulmonary embolism and deep vein thrombosis.

Zhila Agharezaei1, Kambiz Bahaadinbeigy2, Shahram Tofighi3, Laleh Agharezaei4, Ali Nemati5.   

Abstract

This research project sought to design and implement a computerized clinical decision support system (CDSS) that was able to identify patients who were at risk of pulmonary embolism (PE) and deep vein thrombosis (DVT), as well as produce reminders for prophylactic action for these diseases. The main purpose of the CDSS was to attempt to reduce the morbidity and mortality caused by embolism and thrombosis in patients admitted to hospitals. After implementation of this system in one of the large educational hospitals of Iran, a standard questionnaire was used, and interviews were conducted with physicians and nurses to evaluate the performance of the designed system for reducing the incidence of pulmonary embolism and thrombosis. From physicians and nurses' point of view, a system which assists the medical staff in making better decisions regarding patient care, and also reminds pulmonary embolism and thrombosis preventive procedures with timely warnings, can influence patient care quality improvement and lead to the improved performance of the medical staff in preventing the incidence of pulmonary embolism and thrombosis.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Clinical decision support system; Deep vein thrombosis; Prophylaxis; Pulmonary embolism; Risk factors

Mesh:

Year:  2014        PMID: 24768080     DOI: 10.1016/j.cmpb.2014.03.007

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  3 in total

Review 1.  Personalization and Patient Involvement in Decision Support Systems: Current Trends.

Authors:  S Quaglini; L Sacchi; G Lanzola; N Viani
Journal:  Yearb Med Inform       Date:  2015-08-13

2.  The Prediction of the Risk Level of Pulmonary Embolism and Deep Vein Thrombosis through Artificial Neural Network.

Authors:  Laleh Agharezaei; Zhila Agharezaei; Ali Nemati; Kambiz Bahaadinbeigy; Farshid Keynia; Mohammad Reza Baneshi; Abedin Iranpour; Moslem Agharezaei
Journal:  Acta Inform Med       Date:  2016-11-01

3.  Efficacy of modified pressure cuff for thrombolytic treatment on lower extremity deep venous thrombosis.

Authors:  Yan Li; Janesya Sutedjo; Yu-Chen Chen; Jian-Ping Gu
Journal:  Medicine (Baltimore)       Date:  2021-04-30       Impact factor: 1.817

  3 in total

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