Data-Driven Activities Involving Electronic Health Records: An Activity and Task Analysis Framework for Interactive Visualization Tools Article Swipe
Neda Rostamzadeh
,
Sheikh S. Abdullah
,
Kamran Sedig
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/mti4010007
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/mti4010007
Electronic health records (EHRs) can be used to make critical decisions, to study the effects of treatments, and to detect hidden patterns in patient histories. In this paper, we present a framework to identify and analyze EHR-data-driven tasks and activities in the context of interactive visualization tools (IVTs)—that is, all the activities, sub-activities, tasks, and sub-tasks that are and can be supported by EHR-based IVTs. A systematic literature survey was conducted to collect the research papers that describe the design, implementation, and/or evaluation of EHR-based IVTs that support clinical decision-making. Databases included PubMed, the ACM Digital Library, the IEEE Library, and Google Scholar. These sources were supplemented by gray literature searching and reference list reviews. Of the 946 initially identified articles, the survey analyzes 19 IVTs described in 24 articles that met the final selection criteria. The survey includes an overview of the goal of each IVT, a brief description of its visualization, and an analysis of how sub-activities, tasks, and sub-tasks blend and combine to accomplish the tool’s main higher-level activities of interpreting, predicting, and monitoring. Our proposed framework shows the gaps in support of higher-level activities supported by existing IVTs. It appears that almost all existing IVTs focus on the activity of interpreting, while only a few of them support predicting and monitoring—this despite the importance of these activities in assisting users in finding patients that are at high risk and tracking patients’ status after treatment.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/mti4010007
- https://www.mdpi.com/2414-4088/4/1/7/pdf?version=1585284051
- OA Status
- gold
- Cited By
- 21
- References
- 56
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3010621335
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3010621335Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/mti4010007Digital Object Identifier
- Title
-
Data-Driven Activities Involving Electronic Health Records: An Activity and Task Analysis Framework for Interactive Visualization ToolsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2020Year of publication
- Publication date
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2020-03-03Full publication date if available
- Authors
-
Neda Rostamzadeh, Sheikh S. Abdullah, Kamran SedigList of authors in order
- Landing page
-
https://doi.org/10.3390/mti4010007Publisher landing page
- PDF URL
-
https://www.mdpi.com/2414-4088/4/1/7/pdf?version=1585284051Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2414-4088/4/1/7/pdf?version=1585284051Direct OA link when available
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Computer science, Visualization, Context (archaeology), Task (project management), Data science, Data visualization, Digital library, Data mining, Engineering, Art, Poetry, Biology, Paleontology, Literature, Systems engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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21Total citation count in OpenAlex
- Citations by year (recent)
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2024: 6, 2023: 2, 2022: 6, 2021: 5, 2020: 2Per-year citation counts (last 5 years)
- References (count)
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56Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W4243711164, https://openalex.org/W2152631894, https://openalex.org/W2166074549, https://openalex.org/W2148157394, https://openalex.org/W6664918348, https://openalex.org/W2912296668, https://openalex.org/W6703296706, https://openalex.org/W24835790, https://openalex.org/W2789341774, https://openalex.org/W139043267, https://openalex.org/W2109076134, https://openalex.org/W2122060742, https://openalex.org/W2113081107, https://openalex.org/W2167797188, https://openalex.org/W2052233462, https://openalex.org/W1987332428, https://openalex.org/W1988711344, https://openalex.org/W2028206358, https://openalex.org/W2498282581, https://openalex.org/W2171826173, https://openalex.org/W108448143, https://openalex.org/W6678140814, https://openalex.org/W2133013573, https://openalex.org/W6677936858, https://openalex.org/W181624760, https://openalex.org/W1970674491, https://openalex.org/W2121428076, https://openalex.org/W1601216951, https://openalex.org/W1924237607, https://openalex.org/W2071210685, https://openalex.org/W2473046424, https://openalex.org/W1973313139, https://openalex.org/W2136390670, https://openalex.org/W2043092953, https://openalex.org/W2054076956, https://openalex.org/W2293342966, https://openalex.org/W2285118877, https://openalex.org/W2039039096, https://openalex.org/W2120751691, https://openalex.org/W2122966699, https://openalex.org/W2104784054, https://openalex.org/W2120236791, https://openalex.org/W2128163348, https://openalex.org/W6679602788, https://openalex.org/W2170835861, https://openalex.org/W1985883733, https://openalex.org/W2142349824, https://openalex.org/W155446609, https://openalex.org/W2100741257, https://openalex.org/W2117871219, https://openalex.org/W1527769272, https://openalex.org/W2119402807, https://openalex.org/W2058745787, https://openalex.org/W2337383841, https://openalex.org/W2154280685, https://openalex.org/W4292002010 |
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