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Innov Aging
Innov Aging
innovateage
Innovation in Aging
2399-5300 Oxford University Press US 

10.1093/geroni/igaa057.2896
igaa057.2896
Abstracts
Session 7225 (Symposium)
AcademicSubjects/SOC02600
Physician Suitability of an EHR Interface for Depicting Ecological Symptoms Derived From a Smartwatch
Manini Todd 1 Alpert Jordan 2 Mendoza Tonatiuh 3 Prabhakar Satya 4 Solberg Laurence 3 Rashidi Parisa 3 1 
The University of Florida, Gainesville, Florida, United States
2 
University of Florida, gainesville, Florida, United States
3 
University of Florida, Gainesville, Florida, United States
4 
ANSYS Inc, Canonsburg, Pennsylvania, United States
2020 
16 12 2020 
16 12 2020 
4 Suppl 1 Program Abstracts from The GSA 2020 Annual Scientific Meeting “Turning 75: Why Age Matters”798 799
© The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America.2020This 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.Abstract
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.