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Reimagining Connected Care in the Era of Digital Medicine.
Mann, Devin M; Lawrence, Katharine.
  • Mann DM; Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States.
  • Lawrence K; Medical Center Information Technology, NYU Langone Health, New York, NY, United States.
JMIR Mhealth Uhealth ; 10(4): e34483, 2022 04 15.
Article in English | MEDLINE | ID: covidwho-1793156
ABSTRACT
The COVID-19 pandemic accelerated the adoption of remote patient monitoring technology, which offers exciting opportunities for expanded connected care at a distance. However, while the mode of clinicians' interactions with patients and their health data has transformed, the larger framework of how we deliver care is still driven by a model of episodic care that does not facilitate this new frontier. Fully realizing a transformation to a system of continuous connected care augmented by remote monitoring technology will require a shift in clinicians' and health systems' approach to care delivery technology and its associated data volume and complexity. In this article, we present a solution that organizes and optimizes the interaction of automated technologies with human oversight, allowing for the maximal use of data-rich tools while preserving the pieces of medical care considered uniquely human. We review implications of this "augmented continuous connected care" model of remote patient monitoring for clinical practice and offer human-centered design-informed next steps to encourage innovation around these important issues.
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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: JMIR Mhealth Uhealth Year: 2022 Document Type: Article Affiliation country: 34483

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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: JMIR Mhealth Uhealth Year: 2022 Document Type: Article Affiliation country: 34483