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Sara Kuppin Chokshi

Researcher at New York University

Publications -  14
Citations -  319

Sara Kuppin Chokshi is an academic researcher from New York University. The author has contributed to research in topics: Agile software development & Health care. The author has an hindex of 6, co-authored 12 publications receiving 154 citations.

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Wearable Health Technology and Electronic Health Record Integration: Scoping Review and Future Directions.

TL;DR: The landscape of wearable health technology and data integration to provider EHRs, specifically Epic, is reviewed to identify the current innovations and new directions in the field across start-ups, health systems, and insurance companies and understand the associated challenges to inform future Wearable health technology projects at other health organizations.
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Innovating From Within: A Process Model for User-Centered Digital Development in Academic Medical Centers

TL;DR: This model is a critical step in building a rigorous approach to HIT design that incorporates a multidisciplinary, pragmatic perspective combined with academic research practices and state-of-the-art approaches to digital product development to meet the unique needs of health care.
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Use of Technology to Promote Child Behavioral Health in the Context of Pediatric Care: A Scoping Review and Applications to Low- and Middle-Income Countries.

TL;DR: In this paper, the authors provide an overview of existing eHealth applications, research methods, and effectiveness evidence in child mental health promotion (focused on children of 0-12 years of age) across diverse service contexts; and drawing lessons learned from the existing research about eHealth design strategies and usability data in order to inform future ehealth design in LMICs.
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Building digital innovation capacity at a large academic medical center

TL;DR: The Digital DesignLab is an enterprise level, multidisciplinary, digital development team that guides faculty and student innovators through a digital development “pipeline”, which consists of intake, discovery, bootcamp, development.
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Adaptive design of a clinical decision support tool: What the impact on utilization rates means for future CDS research.

TL;DR: Examination of utilization rates of a clinical decision support tool adapted from the original integrated clinical prediction rule study tool to determine if applying this user-centered process to design yields enhanced utilization rates similar to the integrated clinical Prediction rule study.