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Health management via telemedicine: Learning from the COVID-19 experience.
Sun, Ran; Blayney, Douglas W; Hernandez-Boussard, Tina.
  • Sun R; Department of Medicine, Stanford University, Stanford, California, USA.
  • Blayney DW; Stanford Cancer Institute, Stanford University, Stanford, California, USA.
  • Hernandez-Boussard T; Division of Medical Oncology, Department of Medicine, Stanford University, Stanford, California, USA.
J Am Med Inform Assoc ; 28(11): 2536-2540, 2021 10 12.
Article in English | MEDLINE | ID: covidwho-1377974
ABSTRACT
At the onset of the COVID-19 (coronavirus disease 2019) pandemic, telemedicine was rapidly implemented to protect patients and healthcare providers from infection. It is unlikely that care delivery will fully return to the pre-COVID form. Telemedicine offers many opportunities to improve care efficiency, accessibility, and patient outcomes, but many challenges exist related to technology interoperability, the digital divide, and usability. We propose that telemedicine evolve to support continuity of care throughout the patient journey, including multidisciplinary care teams and the seamless integration of data into the clinical workflow to support a learning healthcare system. Importantly, evidence is needed to support this paradigm shift in care delivery to ensure the quality and efficacy of care delivered via telemedicine. Here, we highlight gaps and opportunities that need to be addressed by the biomedical informatics community to move forward with safe and effective healthcare delivery via telemedicine.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: J Am Med Inform Assoc Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: Jamia

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: J Am Med Inform Assoc Journal subject: Medical Informatics Year: 2021 Document Type: Article Affiliation country: Jamia