Literature DB >> 33678589

Health data poverty: an assailable barrier to equitable digital health care.

Hussein Ibrahim1, Xiaoxuan Liu2, Nevine Zariffa3, Andrew D Morris4, Alastair K Denniston5.   

Abstract

Data-driven digital health technologies have the power to transform health care. If these tools could be sustainably delivered at scale, they might have the potential to provide everyone, everywhere, with equitable access to expert-level care, narrowing the global health and wellbeing gap. Conversely, it is highly possible that these transformative technologies could exacerbate existing health-care inequalities instead. In this Viewpoint, we describe the problem of health data poverty: the inability for individuals, groups, or populations to benefit from a discovery or innovation due to a scarcity of data that are adequately representative. We assert that health data poverty is a threat to global health that could prevent the benefits of data-driven digital health technologies from being more widely realised and might even lead to them causing harm. We argue that the time to act is now to avoid creating a digital health divide that exacerbates existing health-care inequalities and to ensure that no one is left behind in the digital era.
Copyright © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

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Year:  2021        PMID: 33678589     DOI: 10.1016/S2589-7500(20)30317-4

Source DB:  PubMed          Journal:  Lancet Digit Health        ISSN: 2589-7500


  15 in total

1.  Low-Tech High-Value(s) Care: No Patient Left Behind.

Authors:  Maria Alcocer Alkureishi; Wei Wei Lee; Gena Lenti; Zi-Yi Choo; Jonah Benning-Shorb; Rachel Grob; Martha E Gaines; Richard Frankel
Journal:  Perm J       Date:  2021-09-21

2.  From Precision Medicine to Precision Convergence for Multilevel Resilience-The Aging Brain and Its Social Isolation.

Authors:  Laurette Dubé; Patricia P Silveira; Daiva E Nielsen; Spencer Moore; Catherine Paquet; J Miguel Cisneros-Franco; Gina Kemp; Bärbel Knauper; Yu Ma; Mehmood Khan; Gillian Bartlett-Esquilant; Alan C Evans; Lesley K Fellows; Jorge L Armony; R Nathan Spreng; Jian-Yun Nie; Shawn T Brown; Georg Northoff; Danilo Bzdok
Journal:  Front Public Health       Date:  2022-07-05

3.  The quality of digital health software: Should we be concerned?

Authors:  Peter Kokol; Helena Blažun Vošner; Marko Kokol; Jernej Završnik
Journal:  Digit Health       Date:  2022-06-16

4.  Role of Agile in Digital Public Health Transformation.

Authors:  Peter Kokol; Helena Blažun Vošner; Marko Kokol; Jernej Završnik
Journal:  Front Public Health       Date:  2022-05-12

5.  An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research.

Authors:  Joe Zhang; Stephen Whebell; Jack Gallifant; Sanjay Budhdeo; Heather Mattie; Piyawat Lertvittayakumjorn; Maria Del Pilar Arias Lopez; Beatrice J Tiangco; Judy W Gichoya; Hutan Ashrafian; Leo A Celi; James T Teo
Journal:  Lancet Digit Health       Date:  2022-04

6.  Research on Health Disparities Related to the COVID-19 Pandemic: A Bibliometric Analysis.

Authors:  Keng Yang; Hanying Qi
Journal:  Int J Environ Res Public Health       Date:  2022-01-22       Impact factor: 3.390

Review 7.  Changes in Healthcare Provision During Covid-19 and Their Impact on Children With Chronic Illness: A Scoping Review.

Authors:  Sapfo Lignou; Jenny Greenwood; Mark Sheehan; Ingrid Wolfe
Journal:  Inquiry       Date:  2022 Jan-Dec       Impact factor: 1.730

Review 8.  A Narrative Review on the Collection and Use of Electronic Patient-Reported Outcomes in Cancer Survivorship Care with Emphasis on Symptom Monitoring.

Authors:  Corina J G van den Hurk; Floortje Mols; Manuela Eicher; Raymond J Chan; Annemarie Becker; Gijs Geleijnse; Iris Walraven; Annemarie Coolbrandt; Maryam Lustberg; Galina Velikova; Andreas Charalambous; Bogda Koczwara; Doris Howell; Ethan M Basch; Lonneke V van de Poll-Franse
Journal:  Curr Oncol       Date:  2022-06-17       Impact factor: 3.109

9.  Addressing fairness in artificial intelligence for medical imaging.

Authors:  Rodrigo Echeveste; Enzo Ferrante; María Agustina Ricci Lara
Journal:  Nat Commun       Date:  2022-08-06       Impact factor: 17.694

10.  Artificial intelligence in eye care: a cautious welcome.

Authors:  Andrew Bastawrous; Charles Cleland
Journal:  Community Eye Health       Date:  2022-06-07
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