Eliciting end-user expectations to guide the implementation process of a new electronic health record: A case study using concept mapping

Joukes, Erik; Cornet, Ronald; Bruijne, M.C. de; Keizer, Nicolette F. de

doi:10.1016/j.ijmedinf.2015.12.014

Cited by 24 publications

(16 citation statements)

References 15 publications

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“…Anecdotal comments revealed that students enjoyed creating the maps, which facilitated their understanding of the complexity of the healthcare system and digital health technologies. These findings were also similar to those of other studies that utilized mind maps as a creative way to enhance learning (Abd El‐Hay et al, 2018: Carter‐Templeton et al, 2016: Joukes et al, 2016; Mammen & Mammen, 2018).…”

Section: Discussion and Nursing Implicationssupporting

confidence: 90%

“…In the healthcare setting, concept maps and mind maps were useful in determining requirements for EHR implementation needs (Joukes, Cornet, de Bruijne, & De Keizer, 2016; Kabukye, de Keizer, & Cornet, 2020); visualizing themes for big data research (Gu, Li, Li, & Liang, 2017); evaluating mobile applications for consumer use (Lee & Kim, 2018); determining organizational actions related to providing patient‐centered care (Ogden, Barr, & Greenfield, 2017); creating a health equity toolkit (Pauly et al, 2018); and creating a method to visualize and manage digital data (Mammen & Mammen, 2018). Focus groups, interviews, surveys, and brainstorming were common methods used to solicit content for concept maps in all the studies.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

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Understanding Digital Health Technologies Using Mind Maps

Seckman

Castle

2020

J of Nursing Scholarship

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PurposeThe purpose of this project was to explore digital health technologies in the healthcare environment through the use of concept and mind mapping tools in a graduate level informatics practicum course.DesignThis descriptive course evaluation project was conducted at a large university school of nursing during the 2019–2020 academic year and included a convenience sample of 163 doctor of nursing practice students.MethodsStudents completed four major deliverables exploring digital health technologies and data sources using mind maps. Project goals were evaluated using detailed rubrics and data from a course evaluation questionnaire (CEQ) then analyzed using descriptive statistics. Comments from the CEQ and reflection documents were reviewed for themes and validated by two experts.FindingsThe variety and creativity of the mind maps along with student comments indicated their ability to apply critical thinking skills to the specific content and technologies being examined. Overall CEQ mean scores were high (M = 4.35), indicating that the mind mapping deliverables were logical, relevant, appropriate, and meaningful to learning.ConclusionsNurse educators and healthcare professionals should consider using mind mapping techniques because this venue allows for expanded understanding of the complexities of the healthcare environment and integration of related digital health technologies.Clinical RelevanceThe recent pandemic highlighted the necessity for new technologies to continue providing patient care services. Mind maps are a fast and economical tool for understanding and prioritizing the needs of an organization as well as a unique teaching strategy to promote critical thinking and sharing of ideas related to digital health technologies.

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Section: Discussion and Nursing Implicationssupporting

confidence: 90%

Section: Background and Literature Reviewmentioning

confidence: 99%

Understanding Digital Health Technologies Using Mind Maps

Seckman

Castle

2020

J of Nursing Scholarship

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“…With the gradual shift from paper to electronic health records (EHRs), opportunities and challenges associated with presentation of healthcare data have emerged (Jensen and Bossen, 2016). Although previous studies report different outcomes about the impact of EHRs on the quality of healthcare (Buntin et al, 2011; Joukes et al, 2016; Mohan et al, 2013; Nguyen et al, 2014; Pollak and Lorch, 2007), improving the quality of documentation is often regarded as one of the advantages of EHRs (Nguyen et al, 2014). On the other hand, quality and accuracy of data is an important contributing factor for a better acceptance of EHRs (Häyrinen et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Factors affecting clinicians’ adherence to principles of diagnosis documentation: A concept mapping approach for improved decision-making

Hosseini

Mostafavi

Zendehdel

et al. 2021

HIM J

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Background: The quality of data in electronic health records (EHRs) depends on adherence of clinicians to principles of diagnosis documentation. Objective: A concept mapping (CM) approach was used to extract factors related to quality of clinicians’ documentation that govern EHR data quality. Method: Influential factors extracted from brainstorming sessions were sorted by individual participants, followed by a quantitative analysis using multidimensional scaling and cluster analysis to categorise sorted factors. Finally, a questionnaire was used to elicit the importance-feasibility of the extracted factors. Results were visualised by cluster maps and Go-Zone plots. Result: Factors were classified into seven clusters: “knowledge about International Classification of Diseases and clinical coding,” “need for facilitators and guidelines,” “explaining the importance of the issue and defining responsibilities,” “cooperation of other personnel,” “codify legal requirements,” “workload” and “clinical obstacles,” as ranked by importance. Conclusion: To enhance the quality of EHR data, a collaboration between physicians, nurses, managers and EHR developers is required. CM is an acceptable approach to meet this objective. Our findings highlight the significance of clinical coding knowledge, awareness about its importance and applicability and use of well-structured information systems. In combination, these three factors can have a strong positive impact on the quality of EHR data. Implications: A list of solutions is provided for policymakers, and two interventions suggested, based on the findings of this study, including the adoption of EHRs that incorporate documentation guidelines. We further propose updated clinical training programs and a monitoring and feedback mechanism to facilitate the EHR documentation process.

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“…Further research is therefore needed to explore factors related to the low clinical uptake of remote services in hearing healthcare and especially those related to HA support and management. A review of concept mapping (CM), a useful methodology in implementation science research (Joukes et al 2016), is provided below. CM is a participatory research method, with stakeholder involvement spanning the entire process.…”

Section: Introductionmentioning

confidence: 99%

An examination of clinical uptake factors for remote hearing aid support: a concept mapping study with audiologists

Glista

O'Hagan

Moodie

et al. 2020

International Journal of Audiology

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Objective: To develop a conceptual framework around the factors that influence audiologists in the clinical uptake of remote follow-up hearing aid support services. Design: A purposive sample of 42 audiologists, stratified according to client-focus of either paediatric or adult, were recruited from professional associations in Ontario, Canada, as members of the six-step, participatory-based concept mapping process. Analyses included multidimensional scaling and hierarchical cluster analysis. Results: Six main themes emerged from this research according to overall level of importance: (1) technology and infrastructure; (2) audiologist-centred considerations; (3) hearing healthcare regulations; (4) client-centred considerations; (5) clinical implementation considerations; and (6) financial considerations. Subthemes were identified at the group-level and by subgroup. These highlight the importance of TECH factors (accessible Technology, Easy to use, robust Connection, and Help available), as well as the multifaceted nature of the perceived attitudes/aptitudes across stakeholders. Conclusion: Findings can be utilised in tailored planning and development efforts to support future research, knowledge dissemination, best-practice protocol/guideline development, and related training to assist in the clinical uptake of remote follow-up hearing aid support services, across variable practice contexts.

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Eliciting end-user expectations to guide the implementation process of a new electronic health record: A case study using concept mapping

Abstract: Concept mapping is an effective method to find topics that, according to healthcare professionals, are important to consider during the implementation of a new EHR. The method helps to combine the input of a large group of stakeholders at limited efforts.

Cited by 24 publications

References 15 publications

Understanding Digital Health Technologies Using Mind Maps

Understanding Digital Health Technologies Using Mind Maps

Factors affecting clinicians’ adherence to principles of diagnosis documentation: A concept mapping approach for improved decision-making

An examination of clinical uptake factors for remote hearing aid support: a concept mapping study with audiologists

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