Applicability of Clinical Decision Support in Management Among Patients Undergoing Cardiac Surgery in ICU

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.

The research team will bear all the economic costs involved in the study, with the support of the CITIC, as Research Center accredited by Galician University System that is funded by “Consellería de Cultura, Educación e Universidades from Xunta de Galicia,” which provided 80% of funds through ERDF Funds, ERDF Operational Programme Galicia 2014-2020, and the remaining 20% was provided by “Secretaría Xeral de Universidades [Grant ED431G 2019/01]. Moreover, Patricia Concheiro-Moscoso obtained a scholarship [Ref.ED481A-2019/069]  gained a scholarship to develop a Ph.D.

Acceso al artículo

DOI: 10.3390/ijerph18063039

IF 2.474 (2019).

  • Engineering, Multidisciplinary. Rank 32/91. Q2 (T2)
  • Physics, Applied. Rank 63/155. Q2 (T2)