An agile digital platform to support population health—A case study of a digital platform to support patients with delirium using IoT, NLP, and AI

Mohan R. Tanniru, Nimit Agarwal, Amanda Sokan, Salim Hariri

Research output: Contribution to journalArticlepeer-review

Abstract

For an organization to be customer centric and service oriented requires that it use each encounter with a customer to create value, leverage advanced technologies to design digital services to fulfill the value, and assess perceived value-in-use to continue to revise the value as customer expectations evolve. The adaptation of value cycles to address the rapid changes in customer expectations requires agile digital platforms with dynamic software ecosystems interacting with multiple actors. For public health agencies focused on population health, these agile digital platforms should provide tailored care to address the distinct needs of select population groups. Using prior research on aging and dynamic software ecosystems, this paper develops a template for the design of an agile digital platform to support value cycle activities among clinical and non-clinical actors, including population groups. It illustrates the design of an agile digital platform to support clients that suffer from delirium, using digital services that leverage Internet of Things, natural language processing, and AI that uses real-time data for learning and care adaption. We conclude the paper with directions for future research.

Original languageEnglish (US)
Article number5686
JournalInternational journal of environmental research and public health
Volume18
Issue number11
DOIs
StatePublished - Jun 1 2021

Keywords

  • Agile digital platform
  • Delirium patient care
  • Digital health
  • Dynamic software ecosystems
  • Population health
  • Value cycles

ASJC Scopus subject areas

  • Pollution
  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis

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