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. 2022 Aug 15;17(8):e0272846.
doi: 10.1371/journal.pone.0272846. eCollection 2022.

Towards effective clinical decision support systems: A systematic review

Francini Hak  1 , Tiago Guimarães  1 , Manuel Santos  1
Affiliations

Towards effective clinical decision support systems: A systematic review

Francini Hak et al. PLoS One. .

Abstract

Background: Clinical Decision Support Systems (CDSS) are used to assist the decision-making process in the healthcare field. Developing an effective CDSS is an arduous task that can take advantage from prior assessment of the most promising theories, techniques and methods used at the present time.

Objective: To identify the features of Clinical Decision Support Systems and provide an analysis of their effectiveness. Thus, two research questions were formulated: RQ1-What are the most common trend characteristics in a CDSS? RQ2-What is the maturity level of the CDSS based on the decision-making theory proposed by Simon?

Methods: AIS e-library, Decision Support Systems journal, Nature, PlosOne and PubMed were selected as information sources to conduct this systematic literature review. Studies from 2000 to 2020 were chosen covering search terms in CDSS, selected according to defined eligibility criteria. The data were extracted and managed in a worksheet, based on the defined criteria. PRISMA statements were used to report the systematic review.

Results: The outcomes showed that rule-based module was the most used approach regarding knowledge management and representation. The most common technological feature adopted by the CDSS were the recommendations and suggestions. 19,23% of studies adopt the type of system as a web-based application, and 51,92% are standalone CDSS. Temporal evolution was also possible to visualize. This study contributed to the development of a Maturity Staging Model, where it was possible to verify that most CDSS do not exceed level 2 of maturity.

Conclusion: The trend characteristics addressed in the revised CDSS were identified, compared to the four predefined groups. A maturity stage model was developed based on Simon's decision-making theory, allowing to assess the level of maturity of the most common features of the CDSS. With the application of the model, it was noticed that the phases of choice and implementation are underrepresented. This constitutes the main gap in the development of an effective CDSS.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Iterative phases of the decision-making process.
Fig 2
Fig 2. Flow diagram of study selection for systematic review.
Fig 3
Fig 3. Characterization of general trends obtained through the review.
Fig 4
Fig 4. Temporal evolution of knowledge management.
Fig 5
Fig 5. Temporal evolution of system integration.
Fig 6
Fig 6. Temporal evolution of type of system.
Fig 7
Fig 7. Temporal evolution of CDSS features.
See this image and copyright information in PMC

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