Advancing pharmacy and healthcare with virtual digital technologies

Adv Drug Deliv Rev. 2022 Mar:182:114098. doi: 10.1016/j.addr.2021.114098. Epub 2022 Jan 5.

Abstract

Digitalisation of the healthcare sector promises to revolutionise patient healthcare globally. From the different technologies, virtual tools including artificial intelligence, blockchain, virtual, and augmented reality, to name but a few, are providing significant benefits to patients and the pharmaceutical sector alike, ranging from improving access to clinicians and medicines, as well as improving real-time diagnoses and treatments. Indeed, it is envisioned that such technologies will communicate together in real-time, as well as with their physical counterparts, to create a large-scale, cyber healthcare system. Despite the significant benefits that virtual-based digital health technologies can bring to patient care, a number of challenges still remain, ranging from data security to acceptance within the healthcare sector. This review provides a timely account of the benefits and challenges of virtual health interventions, as well an outlook on how such technologies can be transitioned from research-focused towards real-world healthcare and pharmaceutical applications to transform treatment pathways for patients worldwide.

Keywords: Computational drug discovery and development; Cybermedicine; Digital and virtual twinning; Digitised drug delivery; Electronic health (e-health); Industry X.0; On-demand drug manufacturing; Pharmacy or Pharma 4.0; Precision and personalized medicine; Telecommunication.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Artificial Intelligence*
  • Biomedical Technology
  • Clinical Trials as Topic
  • Digital Technology / methods*
  • Drug Development / organization & administration
  • Drug Discovery / organization & administration
  • Drug Industry / organization & administration*
  • Health Care Sector / organization & administration*
  • Health Information Exchange
  • Humans
  • Machine Learning
  • Mobile Applications
  • Remote Sensing Technology / methods
  • Research Design
  • Time Factors
  • United States
  • United States Food and Drug Administration
  • Virtual Reality