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A Simulated Graphical Interface for Integrating Patient-Generated Health Data From Smartwatches With Electronic Health Records: Usability Study.
Alpert, Jordan M; Kota, Naga S Prabhakar; Ranka, Sanjay; Mendoza, Tonatiuh V; Solberg, Laurence M; Rashidi, Parisa; Manini, Todd M.
Afiliação
  • Alpert JM; Department of Advertising, College of Journalism and Communications, University of Florida, Gainesville, FL, United States.
  • Kota NSP; Department of Computer & Information Science & Engineering, University of Florida, Gainesville, FL, United States.
  • Ranka S; Department of Computer & Information Science & Engineering, University of Florida, Gainesville, FL, United States.
  • Mendoza TV; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, United States.
  • Solberg LM; College of Nursing, University of Florida, Gainesville, FL, United States.
  • Rashidi P; Geriatrics Research, Education and Clinical Center (GRECC), Veterans Health Administration, NF/SG VHS, Gainesville, FL, United States.
  • Manini TM; Department of Computer & Information Science & Engineering, University of Florida, Gainesville, FL, United States.
JMIR Hum Factors ; 7(4): e19769, 2020 Oct 30.
Article em En | MEDLINE | ID: mdl-33124988
BACKGROUND: Wearable technology, such as smartwatches, can capture valuable patient-generated data and help inform patient care. Electronic health records provide logical and practical platforms for including such data, but it is necessary to evaluate the way the data are presented and visualized. OBJECTIVE: The aim of this study is to evaluate a graphical interface that displays patients' health data from smartwatches, mimicking the integration within the environment of electronic health records. METHODS: A total of 12 health care professionals evaluated a simulated interface using a usability scale questionnaire, testing the clarity of the interface, colors, usefulness of information, navigation, and readability of text. RESULTS: The interface was positively received, with 14 out of the 16 questions generating a score of 5 or greater among at least 75% of participants (9/12). On an 8-point Likert scale, the highest rated features of the interface were quick turnaround times (mean score 7.1), readability of the text (mean score 6.8), and use of terminology/abbreviations (mean score 6.75). CONCLUSIONS: Collaborating with health care professionals to develop and refine a graphical interface for visualizing patients' health data from smartwatches revealed that the key elements of the interface were acceptable. The implementation of such data from smartwatches and other mobile devices within electronic health records should consider the opinions of key stakeholders as the development of this platform progresses.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article