Effects of computerised clinical decision support systems (CDSS) on nursing and allied health professional performance and patient outcomes

Mebrahtu, Teumzghi F; Bloor, Karen; Ledward, Alison; Keenan, Anne‐Maree; Andre, Deirdre; Randell, Rebecca; Skyrme, Sarah; Yang, Hyun; King, Henry; Thompson, Carl

doi:10.1002/14651858.cd014699

Cited by 4 publications

(3 citation statements)

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“…Nurses might benefit from decision support tools like alerts and reminders that are made possible through electronic documentation to assist them in making clinical decisions and lessen the likelihood of making mistakes (Mebrahtu et al, 2021). Care coordination and communication between medical professionals are two other areas where electronic nursing recording initiatives shine.…”

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confidence: 99%

Electronic nursing documentation interventions to promote or improve patient safety and/or quality care in an acute setting

Abudalbouh

2023

ijhs

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Research has demonstrated that the implementation of electronic nursing documentation interventions can enhance the precision and comprehensiveness of records, thereby providing a significant benefit. Electronic documentation systems help to reduce errors resulting from factors such as indecipherable handwriting, incomplete or absent documentation, and transcription errors. ‎In May 2022, a comprehensive research was conducted in CINAHL, MEDLINE, Cochrane, and Web of Science to identify relevant literature for their study. The study focuses on the use of electronic health systems in nursing, specifically in the documentation of care plans, records, reports, and charts. Individuals utilizing any given database employ the tools at their disposal to conduct searches for document abstracts and titles. This rapid review comprised one cross-sectional, one randomised control trial, two quasi-experimental, one qualitative, and one cohort study. The US, Taiwan, and Jordan each held two tests. The six trials included a medical-surgical and telemetry hospital with 446 beds, an acute care hospital with 1037 beds, a medical-surgical unit, and an urgent care clinic. The results revealed that electronic nursing documentation has improved quality of nursing.

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Section: Introductionmentioning

confidence: 99%

Electronic nursing documentation interventions to promote or improve patient safety and/or quality care in an acute setting

Abudalbouh

2023

ijhs

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“…All CDSS are required to provide reassurance to clinicians that the advice and guidance they provide is based on evidence, and that they are not a risk to the safety or quality of care. We know from existing evidence that how such tools are implemented and used in practice may evolve and change, depending on the context where the CDSS is introduced and the characteristics or the expertise of the person using the CDSS (Dowding et al, 2009; Mebrahtu et al, 2021). So, whilst characteristics such as reliability and validity are core for the decision of introducing the CDSS, ensuring that the impacts of the CDSS over time, and constant evaluation of its performance are also required.…”

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confidence: 99%

Commentary: Artificial Intelligence in nursing: trustworthy or reliable?

Dowding

2024

Journal of Research in Nursing

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“…However, more generally, the risks of deskilling in light of the advent of AI have been well documented and theorized for decades. The use of autonomous self-driving vehicles can adversely impact the competencies of human drivers (Bertrandias et al, 2021 ); the use of clinical decision-support systems can adversely impact the skills and experience of healthcare decision-makers (Mebrahtu et al, 2021 ); and the use of AI-generated artwork can adversely impact human creativity and artistic practices (Roose, 2022 ); to name a few. As such, insofar as we care about retaining our human ability to act morally even when faced with new situations, it is important to understand and counter the dangers of moral deskilling due to AI.…”

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confidence: 99%

How AI tools can—and cannot—help organizations become more ethical

Cremer

Narayanan

2023

Front. Artif. Intell.

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In this paper, we argue that we cannot expect that AI systems—even given more data or better computational resources—will be more ethical than the humans who develop, deploy and use them. As such, we advocate that it is necessary to retain the responsibility for ethical decision-making in human hands. In reality, however, human decision-makers currently do not have the ethical maturity to meaningfully take on this responsibility. So, what to do? We develop the argument that to broaden and strengthen the ethical upskilling of our organizations and leaders, AI has a crucial role to play. Specifically, because AI is a mirror that reflects our biases and moral flaws back to us, decision-makers should look carefully into this mirror—taking advantage of the opportunities brought about by its scale, interpretability, and counterfactual modeling—to gain a deep understanding of the psychological underpinnings of our (un)ethical behaviors, and in turn, learn to consistently make ethical decisions. In discussing this proposal, we introduce a new collaborative paradigm between humans and AI that can help ethically upskill our organizations and leaders and thereby prepare them to responsibly navigate the impending digital future.

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Effects of computerised clinical decision support systems (CDSS) on nursing and allied health professional performance and patient outcomes

Abstract: E ects of computerised clinical decision support systems (CDSS) on nursing and allied health professional performance and patient outcomes (Protocol).

Cited by 4 publications

References 58 publications

Electronic nursing documentation interventions to promote or improve patient safety and/or quality care in an acute setting

Electronic nursing documentation interventions to promote or improve patient safety and/or quality care in an acute setting

Commentary: Artificial Intelligence in nursing: trustworthy or reliable?

How AI tools can—and cannot—help organizations become more ethical

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