Applicability of Clinical Decision Support in Management among Patients Undergoing Cardiac Surgery in Intensive Care Unit: A Systematic Review

The advances achieved in recent decades regarding cardiac surgery have led to a new risk that goes beyond surgeons' dexterity; postoperative hours are crucial for cardiac surgery patients and are usually spent in intensive care units (ICUs), where the patients need to be continuously monitored...

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Main Authors: Miguel Pereira, Patricia Concheiro-Moscoso, Alexo López-Álvarez, Gerardo Baños, Alejandro Pazos, Javier Pereira
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/6/2880
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spelling doaj-58bdb8c755ec428bbefa9d6af50101542021-03-24T00:06:11ZengMDPI AGApplied Sciences2076-34172021-03-01112880288010.3390/app11062880Applicability of Clinical Decision Support in Management among Patients Undergoing Cardiac Surgery in Intensive Care Unit: A Systematic ReviewMiguel Pereira0Patricia Concheiro-Moscoso1Alexo López-Álvarez2Gerardo Baños3Alejandro Pazos4Javier Pereira5Service of Anesthesiology, Resuscitation, Intensive Care, Álvaro Cunqueiro Hospital, Sergas, 36213 Vigo, SpainCITIC, TALIONIS Group, Elviña Campus, Universidade da Coruña (University of A Coruña), 15071 A Coruña, SpainService of Anesthesiology, Resuscitation, Intensive Care, Álvaro Cunqueiro Hospital, Sergas, 36213 Vigo, SpainService of Anesthesiology, Resuscitation, Intensive Care, Álvaro Cunqueiro Hospital, Sergas, 36213 Vigo, SpainCITIC, RNASA-IMEDIR Group, Computer Science Faculty, University of A Coruña, Elviña, 15071 A Coruña, SpainCITIC, TALIONIS Group, Elviña Campus, Universidade da Coruña (University of A Coruña), 15071 A Coruña, SpainThe advances achieved in recent decades regarding cardiac surgery have led to a new risk that goes beyond surgeons' dexterity; postoperative hours are crucial for cardiac surgery patients and are usually spent in intensive care units (ICUs), where the patients need to be continuously monitored to adjust their treatment. Clinical decision support systems (CDSSs) have been developed to take this real-time information and provide clinical suggestions to physicians in order to reduce medical errors and to improve patient recovery. In this review, an initial total of 499 papers were considered after identification using PubMed, Web of Science, and CINAHL. Twenty-two studies were included after filtering, which included the deletion of duplications and the exclusion of titles or abstracts that were not of real interest. A review of these papers concluded the applicability and advances that CDSSs offer for both doctors and patients. Better prognosis and recovery rates are achieved by using this technology, which has also received high acceptance among most physicians. However, despite the evidence that well-designed CDSSs are effective, they still need to be refined to offer the best assistance possible, which may still take time, despite the promising models that have already been applied in real ICUs.https://www.mdpi.com/2076-3417/11/6/2880clinical decision supportcomputerized physician order entryintensive care unitscardiac surgery
collection DOAJ
language English
format Article
sources DOAJ
author Miguel Pereira
Patricia Concheiro-Moscoso
Alexo López-Álvarez
Gerardo Baños
Alejandro Pazos
Javier Pereira
spellingShingle Miguel Pereira
Patricia Concheiro-Moscoso
Alexo López-Álvarez
Gerardo Baños
Alejandro Pazos
Javier Pereira
Applicability of Clinical Decision Support in Management among Patients Undergoing Cardiac Surgery in Intensive Care Unit: A Systematic Review
Applied Sciences
clinical decision support
computerized physician order entry
intensive care units
cardiac surgery
author_facet Miguel Pereira
Patricia Concheiro-Moscoso
Alexo López-Álvarez
Gerardo Baños
Alejandro Pazos
Javier Pereira
author_sort Miguel Pereira
title Applicability of Clinical Decision Support in Management among Patients Undergoing Cardiac Surgery in Intensive Care Unit: A Systematic Review
title_short Applicability of Clinical Decision Support in Management among Patients Undergoing Cardiac Surgery in Intensive Care Unit: A Systematic Review
title_full Applicability of Clinical Decision Support in Management among Patients Undergoing Cardiac Surgery in Intensive Care Unit: A Systematic Review
title_fullStr Applicability of Clinical Decision Support in Management among Patients Undergoing Cardiac Surgery in Intensive Care Unit: A Systematic Review
title_full_unstemmed Applicability of Clinical Decision Support in Management among Patients Undergoing Cardiac Surgery in Intensive Care Unit: A Systematic Review
title_sort applicability of clinical decision support in management among patients undergoing cardiac surgery in intensive care unit: a systematic review
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2021-03-01
description The advances achieved in recent decades regarding cardiac surgery have led to a new risk that goes beyond surgeons' dexterity; postoperative hours are crucial for cardiac surgery patients and are usually spent in intensive care units (ICUs), where the patients need to be continuously monitored to adjust their treatment. Clinical decision support systems (CDSSs) have been developed to take this real-time information and provide clinical suggestions to physicians in order to reduce medical errors and to improve patient recovery. In this review, an initial total of 499 papers were considered after identification using PubMed, Web of Science, and CINAHL. Twenty-two studies were included after filtering, which included the deletion of duplications and the exclusion of titles or abstracts that were not of real interest. A review of these papers concluded the applicability and advances that CDSSs offer for both doctors and patients. Better prognosis and recovery rates are achieved by using this technology, which has also received high acceptance among most physicians. However, despite the evidence that well-designed CDSSs are effective, they still need to be refined to offer the best assistance possible, which may still take time, despite the promising models that have already been applied in real ICUs.
topic clinical decision support
computerized physician order entry
intensive care units
cardiac surgery
url https://www.mdpi.com/2076-3417/11/6/2880
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