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

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

“…The proposed model is capable of predicting the condition of patients based on categorizing them into 4 groups, namely: "low risk", "moderate risk", "high risk", and "highest risk". The risk factors checklist prepared for PE and DVT has a number of strengths including being developed in a panel of experts, being simple and containing the point of view of different specialists based on whose opinions a study has been conducted on the prediction of PE and DVT incidence (23). The data for this study has been gathered from the medical records present in 3 educational hospitals and since every of these hospitals provide different medical services, therefore, data collection and classification of patients based on checklist of risk factors turned out to be more variety and comprehensive.…”

Personalization and Patient Involvement in Decision Support Systems: Current Trends

“…Considering the reviewed papers, 26 [7,9,11,34,38,39,43,60,63,64], and 14 at both physicians and patients [5, 6, 10, 33, 35-37, 40, 41, 50, 57, 61, 66, 70]. Seven are targeted at nurses or other healthcare professionals [14,16,20,27,29,46,75], and six at healthcare policy makers, directors of healthcare institutions or administrative personnel [13,22,49,53,54,72]. Since the latter are not typical DSS users, it is interesting to briefly introduce the goals of systems targeting these users.…”

“…Thirty out of the 53 tools considered in this survey underwent some kind of formal assessment. Among them, 13 underwent an evaluation through different methodologies such as focus groups, questionnaires, and interviews with stakeholders [5,6,11,14,23,27,33,40, 41, 43, 52-54]. The remaining systems underwent more comprehensive evaluation studies, using either retrospective [13,18,24,38,42,46,55] or prospective data (on real or simulated patients) [15-17, 25, 26, 29, 31, 34, 47, 75].…”

“…The goals of the evaluation are different among the 30 papers. Fifteen address usability, acceptability, and perceived usefulness of the presented tools [5,6,11,14,17,23,27,33,40,41,43,[52][53][54][55]. These are mostly measured in terms of scores derived from questionnaires or surveys.…”

Building a two-stage integrated model for outpatient appointment service

“…Owing to technological advances, clinical decision support systems (CDSS) have paved the way for a quicker and more localized diagnosis [1]. Quick and accurate diagnosis will cut costs and reduce human suffering [31].…”