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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...

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Detalles Bibliográficos
Autores principales: Manini, Todd, Alpert, Jordan, Mendoza, Tonatiuh, Prabhakar, Satya, Solberg, Laurence, Rashidi, Parisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
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.
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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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