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Supporting Collaborative Health Tracking in the Hospital: Patients' Perspectives.
Mishra, Sonali R; Miller, Andrew D; Haldar, Shefali; Khelifi, Maher; Eschler, Jordan; Elera, Rashmi G; Pollack, Ari H; Pratt, Wanda.
Afiliação
  • Mishra SR; The Information School, University of Washington, Seattle, WA, USA.
  • Miller AD; Human Centered Computing Indiana University, IUPUI Indianapolis, IN, USA.
  • Haldar S; Biomedical & Health Informatics, University of Washington, Seattle, WA, USA.
  • Khelifi M; Biomedical & Health Informatics, University of Washington, Seattle, WA, USA.
  • Eschler J; The Information School, University of Washington, Seattle, WA, USA.
  • Elera RG; The Information School, University of Washington, Seattle, WA, USA.
  • Pollack AH; Biomedical & Health Informatics, University of Washington, Seattle, WA, USA.
  • Pratt W; Department of Pediatrics, University of Washington, Seattle, WA, USA.
Article em En | MEDLINE | ID: mdl-29721554
ABSTRACT
The hospital setting creates a high-stakes environment where patients' lives depend on accurate tracking of health data. Despite recent work emphasizing the importance of patients' engagement in their own health care, less is known about how patients track their health and care in the hospital. Through interviews and design probes, we investigated hospitalized patients' tracking activity and analyzed our results using the stage-based personal informatics model. We used this model to understand how to support the tracking needs of hospitalized patients at each stage. In this paper, we discuss hospitalized patients' needs for collaboratively tracking their health with their care team. We suggest future extensions of the stage-based model to accommodate collaborative tracking situations, such as hospitals, where data is collected, analyzed, and acted on by multiple people. Our findings uncover new directions for HCI research and highlight ways to support patients in tracking their care and improving patient safety.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Proc SIGCHI Conf Hum Factor Comput Syst Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Proc SIGCHI Conf Hum Factor Comput Syst Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos