Barriers and Facilitators to Clinical Decision Support Systems Adoption: A Systematic Review

Devaraj, Srikant; Sharma, Sushil; Fausto, Dyan J.; Viernes, Sara Helene P.; Kharrazi, Hadi

doi:10.5430/jbar.v3n2p36

Cited by 63 publications

(58 citation statements)

References 29 publications

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“…The instructional topic for the purpose of the case study was decision support systems. This topic included two research papers, which we arranged in the following sequence: 1) "Barriers and Facilitators to Clinical Decision Support Systems Adoption: A Systematic Review" (Devaraj, Sharma, Fausto, Viernes, & Kharrazi, 2014) and 2) "Lessons Learned from Implementing Service-oriented Clinical Decision Support at Four Sites: A Qualitative Study" (Wright et al, 2015). We covered each paper during a two-week online discussion period.…”

Section: Research Design and Participantsmentioning

confidence: 99%

How Design Science Research Helps Improve Learning Efficiency in Online Conversations

Eryilmaz¹,

Thoms²,

Canelón³

2018

CAIS

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Abstract:In this design science research paper, we report on our constructing and evaluating an attention-guidance system that we integrated into a computer-supported collaborative learning system. Drawing on social constructivist literature, our proposed design focuses on attracting, retaining, and, if necessary, reacquiring users' attention on task-relevant information in online collaborative literature processing. The investigation involved an experiment across two sections of students in a human-computer interaction course. Results show that the new design allowed users to consistently reflect and evaluate the content of a text as they capitalized on one another's reasoning to resolve misconceptions. Moreover, we found that the new system increased users' perceptions of learning. However, the difference in knowledge gain scores was marginally significant and represented a medium effect size. Interestingly, we found that the attention-guidance system supported more efficient learning. Finally, we discovered that task-oriented reading of text, revisions of incomplete or incorrect ideas, and perceptions of learning mediated the relationship between software system and learning efficiency. We discuss the theoretical and practical implications.

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Section: Research Design and Participantsmentioning

confidence: 99%

How Design Science Research Helps Improve Learning Efficiency in Online Conversations

Eryilmaz¹,

Thoms²,

Canelón³

2018

CAIS

View full text Add to dashboard Cite

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“…A literature review conducted by Devaraj et al (2014) has identified barriers to performance expectancy of DSS, with the top five being:…”

Section: Lack Of Perceived Usefulnessmentioning

confidence: 99%

“…A study on perceived barriers for a group of rheumatologists discovered a sense of ambivalence relating to concerns that using technology could impair doctor-patient communication (Zong et al, 2015). Many studies have also noted that practitioners are reluctant to use the system in front of patients (Devaraj et al, 2014). This is expected since practitioners do not wish to be perceived as lacking in diagnostic skills or appear to be inefficient in navigating the system.…”

Section: Complex Sociocultural and Economic Factorsmentioning

confidence: 99%

“…Lack of standards and lack of time act as barriers to clinical DSS adoption (Devaraj et al, 2014). While a DSS needs to simulate the decision-making process of the dentist, the result of the process may appear difficult to interpret for the dentist due to emerging standards of healthcare information technology (Dympna et al, 2014), and may cause dentists to spend too much time on the system during point-of-care.…”

Section: Lack Of Standardsmentioning

confidence: 99%

“…In a study by Devaraj et al (2014), over half the literature short-listed for review utilise patient disease in their DSS. This reflects that patient disease/condition management is the area where physicians require most assistance in decision-making.…”

Section: Ontologymentioning

confidence: 99%

See 2 more Smart Citations

Decision support systems for adoption in dental clinics: A survey

Goh

Tao

et al. 2016

Knowledge-Based Systems

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While most dental clinicians use some sort of information system, they are involved with administrative functions, despite the advisory potential of some of these systems. This paper outlines some current decision support systems (DSS) and the common barriers facing dentists in adopting them within their workflow. These barriers include lack of perceived usefulness, complicated social and economic factors, and the difficulty for users to interpret the advice given by the system. A survey of current systems found that although there are systems that suggest treatment options, there is no real-time integration with other knowledge bases. Additionally, advice on drug prescription at point-of-care is absent from such systems, which is a significant omission, in consideration of the fact that disease management and drug prescription are common in the workflow of a dentist. This paper also addresses future trends in the research and development of dental clinical DSS, with specific emphasis on big data, standards and privacy issues to fulfil the vision of a robust, user-friendly and scalable personalised DSS for dentists. The findings of this study will offer strategies in design, research and development of a DSS with sufficient perceived usefulness to attract adoption and integration by dentists within their routine clinical workflow, thus resulting in better health outcomes for patients and increased productivity for the clinic.

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Is there a “magic” hemoglobin number? Clinical decision support promoting restrictive blood transfusion practices

Goodnough

Shah

2015

American J Hematol

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Blood transfusion has been identified as one of the most frequently performed therapeutic procedures, with a significant percentage of transfusions identified to be inappropriate. Recent key clinical trials in adults have provided Level 1 evidence to support restrictive red blood cell (RBC) transfusion practices. However, some advocates have attempted to identify a “correct” Hb threshold for RBC transfusion; whereas others assert that management of anemia, including transfusion decisions, must take into account clinical patient variables, rather than simply one diagnostic laboratory test. The heterogeneity of guidelines for blood transfusion by a number of medical societies reflects this controversy. Clinical decision support (CDS) uses a Hb threshold number in a smart Best Practices Alert (BPA) upon physician order, to trigger a concurrent utilization self‐review for whether blood transfusion therapy is appropriate. This review summarizes Level 1 evidence in seven key clinical trials in adults that support restrictive transfusion practices, along strategies made possible by CDS that have demonstrated value in improving blood utilization by promoting restrictive transfusion practices. Am. J. Hematol. 90:927–933, 2015. © 2015 Wiley Periodicals, Inc.

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Barriers and Facilitators to Clinical Decision Support Systems Adoption: A Systematic Review

Cited by 63 publications

References 29 publications

How Design Science Research Helps Improve Learning Efficiency in Online Conversations

How Design Science Research Helps Improve Learning Efficiency in Online Conversations

Decision support systems for adoption in dental clinics: A survey

Is there a “magic” hemoglobin number? Clinical decision support promoting restrictive blood transfusion practices

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