Point-of-Care Diagnostics for Global Health
Abstract
Biomedical engineers have traditionally developed technologies in response to the needs of the developed world's medical community. As a result, the diagnostic systems on which they have worked have met the requirements of well-funded laboratories in highly regulated and quality-assessed environments. However, such approaches do not address the needs of the majority of the world's people afflicted with infectious diseases, who have, at best, access to poorly resourced health care facilities with almost no supporting clinical laboratory infrastructure. A major challenge for the biomedical engineering community is to develop diagnostic tests to meet the needs of these people, the majority of whom are in the developing world. We here review the context in which the diagnostics must operate, some of the appropriate diagnostic technologies already in distribution, and some emerging technologies that promise to address this challenge. However, there is much room for innovation, adaptation, and cost reduction before these technologies can impact health care in the developing world.
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Governments of India, Nepal, and Bangladesh pledged to eliminate visceral leishmaniasis by 2015, which along with improved treatment access prompted development of a simple point-of-care diagnostic tool detecting antibody agglutination.
“The governments of India, Nepal, and Bangladesh pledged to eliminate visceral leishmaniasis by 2015, which along with improved treatment access, prompted the development of a simple point-of-care diagnostic tool which detects antibody agglutination”
From Global Burden of Skin Disease: Inequities and Innovations (2017) · cites this paper as [45]
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- Authors
- Yager, P., Domingo, G. J., & Gerdes, J.
- Affiliations
- University of Washington (US)
- Program for Appropriate Technology in Health (US)
- Redmond Fire Department (US)
- Venue
- Annual Review of Biomedical Engineering
- Publisher
- Annual Reviews
- Published
- 2008-08-01
- Volume
- 10
- Issue
- 1
- Pages
- 107-144
- ISSN
- 1523-9829 (ISSN-L)
- 1545-4274
- OpenAlex
- W2170895924
- Cited by
- 1,076
- References
- 217
- Citations by year
- 2026: 34 · 2025: 43 · 2024: 47 · 2023: 58 · 2022: 55 · 2021: 55 · 2020: 89 · 2019: 56 · 2018: 65 · 2017: 73 · 2016: 72 · 2015: 87 · 2014: 79 · 2013: 78 · 2012: 51
- FWCI
- 3.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Biomedical Engineering (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Biosensors and Analytical Detection
- Social Sciences › Business, Management and Accounting › Business and International Management › Innovation and Socioeconomic Development
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 detection and testing
- Keywords
- point-of-care testing, global health, resource-limited settings, infectious diseases, diagnostic technology development, cost reduction, emerging diagnostic technologies
- MeSH terms
- Monitoring, Physiologic, Technology Assessment, Biomedical, Global Health, Point-of-Care Systems, Diagnostic Techniques and Procedures
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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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