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Physician Suitability of an EHR Interface for Depicting Ecological Symptoms Derived From a Smartwatch
Physicians desire an electronic health record (EHR) interface to visualize data from mobile devices in rapid and unobtrusive manner. We developed an EHR interface after performing semi-structured qualitative interviews with 12 physicians. These interviews led to creating an EHR graphical interface t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7743384/ http://dx.doi.org/10.1093/geroni/igaa057.2896 |
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author | Manini, Todd Alpert, Jordan Mendoza, Tonatiuh Prabhakar, Satya Solberg, Laurence Rashidi, Parisa |
author_facet | Manini, Todd Alpert, Jordan Mendoza, Tonatiuh Prabhakar, Satya Solberg, Laurence Rashidi, Parisa |
author_sort | Manini, Todd |
collection | PubMed |
description | Physicians desire an electronic health record (EHR) interface to visualize data from mobile devices in rapid and unobtrusive manner. We developed an EHR interface after performing semi-structured qualitative interviews with 12 physicians. These interviews led to creating an EHR graphical interface that allowed seamless viewing of the top ranked patient attributes of pain, falls, hydration and mobility patterns. Physicians then evaluated the interface using the International Standard ISO 9241, Part 110— a survey to evaluate the design of human computer interactions. The median response for each of domains were as follows: suitability = 18.5 out of 24 (range: 9-24); conformity=34 out of 40 (range: 16-40); self-descriptiveness=25 out of 32 (range: 13-31); controllability=19.5 out of 24 (range: 8-23); error tolerance=5 out of 8 (range: 1-8). The median total score of 111.5 out of 140 (range: 88-128) indicated a relatively high level of usability of the EHR interface depicting smartwatch data. |
format | Online Article Text |
id | pubmed-7743384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77433842020-12-21 Physician Suitability of an EHR Interface for Depicting Ecological Symptoms Derived From a Smartwatch Manini, Todd Alpert, Jordan Mendoza, Tonatiuh Prabhakar, Satya Solberg, Laurence Rashidi, Parisa Innov Aging Abstracts Physicians desire an electronic health record (EHR) interface to visualize data from mobile devices in rapid and unobtrusive manner. We developed an EHR interface after performing semi-structured qualitative interviews with 12 physicians. These interviews led to creating an EHR graphical interface that allowed seamless viewing of the top ranked patient attributes of pain, falls, hydration and mobility patterns. Physicians then evaluated the interface using the International Standard ISO 9241, Part 110— a survey to evaluate the design of human computer interactions. The median response for each of domains were as follows: suitability = 18.5 out of 24 (range: 9-24); conformity=34 out of 40 (range: 16-40); self-descriptiveness=25 out of 32 (range: 13-31); controllability=19.5 out of 24 (range: 8-23); error tolerance=5 out of 8 (range: 1-8). The median total score of 111.5 out of 140 (range: 88-128) indicated a relatively high level of usability of the EHR interface depicting smartwatch data. Oxford University Press 2020-12-16 /pmc/articles/PMC7743384/ http://dx.doi.org/10.1093/geroni/igaa057.2896 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Manini, Todd Alpert, Jordan Mendoza, Tonatiuh Prabhakar, Satya Solberg, Laurence Rashidi, Parisa Physician Suitability of an EHR Interface for Depicting Ecological Symptoms Derived From a Smartwatch |
title | Physician Suitability of an EHR Interface for Depicting Ecological Symptoms Derived From a Smartwatch |
title_full | Physician Suitability of an EHR Interface for Depicting Ecological Symptoms Derived From a Smartwatch |
title_fullStr | Physician Suitability of an EHR Interface for Depicting Ecological Symptoms Derived From a Smartwatch |
title_full_unstemmed | Physician Suitability of an EHR Interface for Depicting Ecological Symptoms Derived From a Smartwatch |
title_short | Physician Suitability of an EHR Interface for Depicting Ecological Symptoms Derived From a Smartwatch |
title_sort | physician suitability of an ehr interface for depicting ecological symptoms derived from a smartwatch |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7743384/ http://dx.doi.org/10.1093/geroni/igaa057.2896 |
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