VIDi – A Build-Measure-Learn Honed Visualization of the International Patient Summary

As the MVP approach helped finding many solutions for the IPS visualization problems, more rounds of build-measure-learn would enhance such views on IPS data for both patients and medical experts.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-04-24
DOI
https://doi.org/10.3233/shti250202
Citations
1
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
6.21
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article

VIDi – A Build-Measure-Learn Honed Visualization of the International Patient Summary

Hannah Vinatzer, Nikola Tanjga
1 citations
Studies in health technology and informatics
Biomedical Text Mining and Ontologies
6.21
article

VIDi – A Build-Measure-Learn Honed Visualization of the International Patient Summary

Hannah Vinatzer, Nikola Tanjga
article en
1 citations

Abstract

As the MVP approach helped finding many solutions for the IPS visualization problems, more rounds of build-measure-learn would enhance such views on IPS data for both patients and medical experts.

Studies in health technology and informaticsVol. 324
AIT Austrian Institute of Technology GmbH (AT), Graz University of Technology (AT)
Industry, innovation and infrastructure
Openalex Percentile: Top 7%
Biomedical Text Mining and Ontologies
6.21
DOIOpen Access PDFOpenAlex
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VIDi – A Build-Measure-Learn Honed Visualization of the International Patient Summary — Hannah Vinatzer, Nikola Tanjga · Studies in health technology and informatics (2025) | TGRS Research Map | TGRS