Creating cycles of prosperity with human digital development for intelligent global health

Sajda Qureshi

Information Technology for Development, 2022, vol. 28, issue 4, 649-659

Abstract: Digital spaces offer expanded economic and social opportunities to exercise human agency. With increasing numbers of people falling into poverty, it is those same people at the margins who hold the key to global recovery. The term human digital development refers to the exercise of human agency using ICTs, in particular human interactions in cyberspace that offer new ways in which people may lead the lives they choose to live. Being healthy is central for an individual’s capabilities and freedoms to bring about improvements in their lives. The role for human digital development in global health lies in the ways in which artificial intelligent applications are used to support people, their providers and institutions operating in low-resource environments. In this way, digital health enables the use of artificially intelligent technologies to achieve improved health outcomes. Investments in human digital development can create positive cycles of prosperity by spurring economic growth.

Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/02681102.2022.2135872 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:titdxx:v:28:y:2022:i:4:p:649-659

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/titd20

DOI: 10.1080/02681102.2022.2135872

Access Statistics for this article

Information Technology for Development is currently edited by Sajda Qureshi

More articles in Information Technology for Development from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().