Decision support systems in healthcare - Literature review
Ampio, Minna-Maarit (2020)
2020
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202002032000
https://urn.fi/URN:NBN:fi:amk-202002032000
Tiivistelmä
The purpose of this literature review was to determine which factors promote and support the use of the decision support system in nursing and what experience professionals in decision-making support have in using the system, and whether there are general factors that promote or inhibit the use of the system.
Literature searches were conducted on the following electronic databases: Finna (Finnish database), PubMed (international database) and Cochrane (international research network). Initially, the searches sought material published in 2010–2018. The search was later expanded to include two meta-analyzes published in 2005. The review material consists of four meta-analyzes of decision-making support in health (meeting a total of 362 articles) that met the admission criteria, as well as one dissertation study published in 2014.
Analyzes of the data in the review contained similar results. Decision support could potentially reduce prescription errors and incidents. It also appears to reduce medical errors and thus improve the quality and effectiveness of treatment. User experiences varied greatly and were influenced by many factors. However, according to the analyzes, no economic impact could be demonstrated.
The studies analyzed were mainly focused on healthcare providers. A few studies also include healthcare clients.
Literature searches were conducted on the following electronic databases: Finna (Finnish database), PubMed (international database) and Cochrane (international research network). Initially, the searches sought material published in 2010–2018. The search was later expanded to include two meta-analyzes published in 2005. The review material consists of four meta-analyzes of decision-making support in health (meeting a total of 362 articles) that met the admission criteria, as well as one dissertation study published in 2014.
Analyzes of the data in the review contained similar results. Decision support could potentially reduce prescription errors and incidents. It also appears to reduce medical errors and thus improve the quality and effectiveness of treatment. User experiences varied greatly and were influenced by many factors. However, according to the analyzes, no economic impact could be demonstrated.
The studies analyzed were mainly focused on healthcare providers. A few studies also include healthcare clients.