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Digital Health-Enabled Community-Centered Care: Scalable Model to Empower Future Community Health Workers Using Human-in-the-Loop Artificial Intelligence

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Authors: Sarah M Rodrigues, Anil Kanduri, Adeline Nyamathi, Nikil Dutt, Pramod Khargonekar, Amir M Rahmani

The goal of this paper was to outline a scalable digital health-enabled community-centered care model (D-CCC) aimed at empowering future CHWs using human-in-the-loop artificial intelligence. This D-CCC model was developed from a multidisciplinary collaboration among nursing, computer science, engineering, and human-computer interaction experts. It transforms manual and restricted aspects of CHW work into a scalable, digital, and intelligently automated space, aimed at increasing the quality of services delivered, in terms of personalization, cultural appropriateness, and timeliness. With this model,  authors suggest there may be a path to expanding the community-centered health and social care ecosystem through improving digital connectedness while simultaneously empowering the CHW workforce.

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Link: Digital Health-Enabled Community-Centered Care: Scalable Model to Empower Future Community Health Workers Using Human-in-the-Loop Artificial Intelligence

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Resource Topic: CHW, Community-centered care, Digital health

Resource Type: Evaluation

Year: 2022

Region: North America (U.S. and Canada)

Country: United States of America

Publisher May Restrict Access: No

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