Cited by 9Health, Technology, Consumer BehaviorMobile Health and mHealth ApplicationsDigital Innovation in Industries

The DOI matches its Crossref record.

The Digital Pill: What Everyone Should Know about the Future of Our Healthcare System

Open access
Fleisch, Elgar, Franz, Christoph, Herrmann, Andreas·2021·Emerald Group Publishing Limited eBooks

Abstract

The Digital Pill reflects on apps and digital projects launched by pharmaceutical companies in recent years, as well as the first accreditations for digital pills already issued by recognised regulators. The Digital Pill is essential reading for anyone working in, engaged with or interested in understanding the e-health community.

Overview

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Registry

Crossref · 10.1108/9781787566750

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Self-check

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Metadata

Authors
Fleisch, E., Franz, C., & Herrmann, A.
Affiliations
  • University of St.Gallen (CH)
  • F. Hoffmann-La Roche AG (CH)
Venue
Emerald Group Publishing Limited eBooks
Published
2021-03-22
OpenAlex
W3135598877
Cited by
9
References
0
Citations by year
2025: 1 · 2024: 1 · 2023: 4 · 2021: 3
FWCI
4.13
Type
book
Language
en
Open access
Locations
  • Emerald Group Publishing Limited eBooks (publishedVersion)
  • Alexandria (UniSG) (University of St.Gallen) (acceptedVersion)
  • Alexandria (UniSG) (University of St.Gallen) (submittedVersion)
Funders
Universität St. Gallen
Topics
  • Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
Keywords
digital pills, pharmaceutical companies, mobile health apps, digital health regulation, e-health, future of health care

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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