2020
DOI: 10.1016/j.ijmedinf.2019.104055
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Elicitation and prioritization of requirements for electronic health records for oncology in low resource settings: A concept mapping study

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Cited by 10 publications
(7 citation statements)
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“…There is no agreed-upon number of people needed for the concept mapping (Ariadne, 2015;Rosas & Kane, 2012;Trochim, 1989). The sample size in our study is consistent with previous studies that have used a concept mapping methodology (Iris et al 2010;Johnson et al 2014;Kabukye et al 2020;Niemeijer et al 2011;Robinson & Trochim, 2007). Our aim was not to have a representative sample but rather to inform our understanding of complex phenomena.…”
Section: Limitationssupporting
confidence: 58%
“…There is no agreed-upon number of people needed for the concept mapping (Ariadne, 2015;Rosas & Kane, 2012;Trochim, 1989). The sample size in our study is consistent with previous studies that have used a concept mapping methodology (Iris et al 2010;Johnson et al 2014;Kabukye et al 2020;Niemeijer et al 2011;Robinson & Trochim, 2007). Our aim was not to have a representative sample but rather to inform our understanding of complex phenomena.…”
Section: Limitationssupporting
confidence: 58%
“…Although users were asked to describe an ideal medical recliner, further instructions proved to be necessary. On the one side, surveys do not allow an in‐depth exploratory study, limiting the understanding of user opinion to the questions in the data collection instrument (Kabukye et al, 2017). Semi‐structured interviews, however, share characteristics from both previous methods and were therefore considered suitable for this study.…”
Section: Conclusion Limitations and Practice Implicationsmentioning
confidence: 99%
“…Different methods are used to elicited different responses from user requirements, and a correct method selection is critical to generate appropriate end‐user requirements (Bühler, 1996; Garmer et al, 2002; Hilligoss et al, 2019; Pinto et al, 2014). Kabukye et al (2017), for example, applied semi‐structured focus group discussion and follow‐up unstructured interviews to elicit user opinion regarding the use of Electronic Medical Records systems in oncology services in developing countries. Even though elicited requirements were similar to those of developed countries (most likely because of disease complexity), their research allowed users to identify how the system should be flexible in dealing with common differences in healthcare and unknown challenges that may arise in time.…”
Section: Introductionmentioning
confidence: 99%
“…There are very few pieces of evidence and research done on the automation process of prioritizing requirements. Lots of medical documents have been prioritized and subsequently used in the research thereof [99]. Similarly, the Software Requirements Specification document can be used as a source and the classified requirements can be prioritized by using NLP techniques backed by ML algorithms.…”
Section: Final Research Proposal In Chosen Topicmentioning
confidence: 99%