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Making Digital Health Equitable.

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  • 1Duke Center for Health Informatics, CTSI, Duke School of Medicine, USA.

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Summary
This summary is machine-generated.

Digital Health integrates technology to create a personalized, people-centered healthcare system. It requires data interoperability and sharing, utilizing mobile devices, sensors, AI, and machine learning for improved health outcomes.

Keywords:
Digital healthequityhealth literacy

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Area of Science:

  • Health Informatics
  • Digital Health Technologies
  • Healthcare Systems Innovation

Background:

  • The current healthcare system faces significant challenges and is widely considered suboptimal.
  • Rapid technological advancements offer potential solutions for future healthcare delivery.
  • Digital Health emerges as a key integrator, leveraging technology to transform health and healthcare.

Purpose of the Study:

  • To explore the transformative potential of Digital Health in personalizing and centering healthcare around individuals.
  • To highlight the critical need for interoperability, data sharing, and stakeholder collaboration in Digital Health.
  • To examine the role of mobile devices, wearable sensors, Artificial Intelligence (AI), and Machine Learning (ML) in Digital Health.

Main Methods:

  • Conceptual analysis of Digital Health as an integrator concept.
  • Examination of technologies, platforms, and systems within the Digital Health landscape.
  • Discussion of requirements for Digital Health, including interoperability, data standards, and stakeholder engagement.

Main Results:

  • Digital Health converges health, healthcare, research, and daily life, engaging consumers across all aspects.
  • It necessitates total interoperability, common data elements, and integrated data from diverse sources.
  • Mobile devices, wearable sensors, AI, and ML are crucial components for managing vast Digital Health data.

Conclusions:

  • Digital Health promises to make healthcare more people-centered and personalized.
  • Achieving Digital Health's potential requires robust data sharing, interoperability, and collaborative efforts.
  • Addressing the potential for Digital Health to exacerbate or alleviate socioeconomic disparities is crucial.