Human-centered visualization technologies for patient monitoring are the future: a narrative review
Abstract Medical technology innovation has improved patient monitoring in perioperative and intensive care medicine and continuous improvement in the technology is now a central focus in this field. Because data density increases with the number of parameters captured by patient-monitoring devices,...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-06-01
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| Series: | Critical Care |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13054-023-04544-0 |
| _version_ | 1797789716038287360 |
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| author | Greta Gasciauskaite Justyna Lunkiewicz Tadzio R. Roche Donat R. Spahn Christoph B. Nöthiger David W. Tscholl |
| author_facet | Greta Gasciauskaite Justyna Lunkiewicz Tadzio R. Roche Donat R. Spahn Christoph B. Nöthiger David W. Tscholl |
| author_sort | Greta Gasciauskaite |
| collection | DOAJ |
| description | Abstract Medical technology innovation has improved patient monitoring in perioperative and intensive care medicine and continuous improvement in the technology is now a central focus in this field. Because data density increases with the number of parameters captured by patient-monitoring devices, its interpretation has become more challenging. Therefore, it is necessary to support clinicians in managing information overload while improving their awareness and understanding about the patient’s health status. Patient monitoring has almost exclusively operated on the single-sensor–single-indicator principle—a technology-centered way of presenting data in which specific parameters are measured and displayed individually as separate numbers and waves. An alternative is user-centered medical visualization technology, which integrates multiple pieces of information (e.g., vital signs), derived from multiple sensors into a single indicator—an avatar-based visualization—that is a meaningful representation of the real-world situation. Data are presented as changing shapes, colors, and animation frequencies, which can be perceived, integrated, and interpreted much more efficiently than other formats (e.g., numbers). The beneficial effects of these technologies have been confirmed in computer-based simulation studies; visualization technologies improved clinicians’ situation awareness by helping them effectively perceive and verbalize the underlying medical issue, while improving diagnostic confidence and reducing workload. This review presents an overview of the scientific results and the evidence for the validity of these technologies. |
| first_indexed | 2024-03-13T01:54:37Z |
| format | Article |
| id | doaj.art-98d63525fcf2468d97643ebb3c054d86 |
| institution | Directory Open Access Journal |
| issn | 1364-8535 |
| language | English |
| last_indexed | 2024-03-13T01:54:37Z |
| publishDate | 2023-06-01 |
| publisher | BMC |
| record_format | Article |
| series | Critical Care |
| spelling | doaj.art-98d63525fcf2468d97643ebb3c054d862023-07-02T11:17:19ZengBMCCritical Care1364-85352023-06-0127111210.1186/s13054-023-04544-0Human-centered visualization technologies for patient monitoring are the future: a narrative reviewGreta Gasciauskaite0Justyna Lunkiewicz1Tadzio R. Roche2Donat R. Spahn3Christoph B. Nöthiger4David W. Tscholl5Institute of Anesthesiology, University Hospital ZurichInstitute of Anesthesiology, University Hospital ZurichInstitute of Anesthesiology, University Hospital ZurichInstitute of Anesthesiology, University Hospital ZurichInstitute of Anesthesiology, University Hospital ZurichInstitute of Anesthesiology, University Hospital ZurichAbstract Medical technology innovation has improved patient monitoring in perioperative and intensive care medicine and continuous improvement in the technology is now a central focus in this field. Because data density increases with the number of parameters captured by patient-monitoring devices, its interpretation has become more challenging. Therefore, it is necessary to support clinicians in managing information overload while improving their awareness and understanding about the patient’s health status. Patient monitoring has almost exclusively operated on the single-sensor–single-indicator principle—a technology-centered way of presenting data in which specific parameters are measured and displayed individually as separate numbers and waves. An alternative is user-centered medical visualization technology, which integrates multiple pieces of information (e.g., vital signs), derived from multiple sensors into a single indicator—an avatar-based visualization—that is a meaningful representation of the real-world situation. Data are presented as changing shapes, colors, and animation frequencies, which can be perceived, integrated, and interpreted much more efficiently than other formats (e.g., numbers). The beneficial effects of these technologies have been confirmed in computer-based simulation studies; visualization technologies improved clinicians’ situation awareness by helping them effectively perceive and verbalize the underlying medical issue, while improving diagnostic confidence and reducing workload. This review presents an overview of the scientific results and the evidence for the validity of these technologies.https://doi.org/10.1186/s13054-023-04544-0Visualization technologiesSituation awarenessUser-centered designPatient monitoringIntensive care unitPerioperative medicine |
| spellingShingle | Greta Gasciauskaite Justyna Lunkiewicz Tadzio R. Roche Donat R. Spahn Christoph B. Nöthiger David W. Tscholl Human-centered visualization technologies for patient monitoring are the future: a narrative review Critical Care Visualization technologies Situation awareness User-centered design Patient monitoring Intensive care unit Perioperative medicine |
| title | Human-centered visualization technologies for patient monitoring are the future: a narrative review |
| title_full | Human-centered visualization technologies for patient monitoring are the future: a narrative review |
| title_fullStr | Human-centered visualization technologies for patient monitoring are the future: a narrative review |
| title_full_unstemmed | Human-centered visualization technologies for patient monitoring are the future: a narrative review |
| title_short | Human-centered visualization technologies for patient monitoring are the future: a narrative review |
| title_sort | human centered visualization technologies for patient monitoring are the future a narrative review |
| topic | Visualization technologies Situation awareness User-centered design Patient monitoring Intensive care unit Perioperative medicine |
| url | https://doi.org/10.1186/s13054-023-04544-0 |
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