Older Generation Disenfranchising: A Health and Business Perspective on Digital Portals, Login Friction, and Exclusion
Main Article Content
Abstract
Artificial intelligence (AI) and digital transformation are widely promoted as universally beneficial, promising improved efficiency, security, and convenience. However, these systems frequently overlook a critical reality: not all users are equally prepared to navigate increasing digital complexity. Many suggest this is a significant advancement, but automation, lacking a “real person” to ask questions of or to issue directives to, is a significant obstacle. Older adults face disproportionate barriers that restrict access to essential services, including healthcare, utilities, and financial platforms. Age-related changes in memory, vision, dexterity, and confidence—combined with escalating authentication requirements such as complex passwords and multi-factor authentication—create significant friction and exclusion. Evidence consistently shows that older adults adopt digital tools at lower rates, use fewer functions, and report less confidence in completing common online tasks. These barriers have measurable implications for healthcare access, medication adherence, customer satisfaction, and business performance. This article examines the persistence of the digital divide among older adults, analyzes authentication and portal usability as key drivers of exclusion, and proposes an applied framework for inclusive design. Addressing digital disenfranchisement is not only a public health imperative but also a business necessity as older populations continue to expand in size and economic significance. Improvement is increasing but remains below the ideal level. It is also noted that a significant number of patients do not utilize the electronic domains at all, 57-64%. This would be expected from the more acute patient, aged with many of the main barriers below. 23-29% of this group remain without digital technology devices to use.
Article Details
Copyright (c) 2026 Kaye T.

This work is licensed under a Creative Commons Attribution 4.0 International License.
Pew Research Center. Tech adoption climbs among older adults. 2017. Available from: https://www.pewresearch.org/internet/2017/05/17/tech-adoption-climbs-among-older-adults/
Pew Research Center. Older adults and technology use. 2014. Available from: https://www.pewresearch.org/internet/2014/04/03/older-adults-and-technology-use/
Friemel TN. The digital divide has grown old: Determinants of a digital divide among seniors. New Media Soc. 2016;18(2):313–331. Available from: https://doi.org/10.1177/1461444814538648
Fisk AD, Rogers WA, Charness N, Czaja SJ, Sharit J. Designing for older adults: Principles and creative human factors approach. 2nd ed. Boca Raton (FL): CRC Press; 2009. Available from: https://doi.org/10.1201/9781420023862
Gell NM, Rosenberg DE, Demiris G, LaCroix AZ, Patel KV. Patterns of technology use among older adults with and without disabilities. Gerontologist. 2015;55(3):412–421. Available from: https://doi.org/10.1093/geront/gnt166
EurekAlert!. Poll summary on patient portal use among adults ages 50–80. 2023.
Norman DA. The design of everyday things. Revised and expanded ed. New York (NY): Basic Books; 2013. Available from: https://jnd.org/books/the-design-of-everyday-things-revised-and-expanded-edition/
Seifert A, Cotten SR. In care and digitally savvy? Older adults’ internet use and psychological well-being. Gerontologist. 2022;62(2):224–232.
Nimrod G. Technostress: Measuring a new threat to well-being in later life. Aging Ment Health. 2019;22(8):1080–1087. Available from: https://doi.org/10.1080/13607863.2017.1334037
United States Census Bureau. U.S. Census Bureau releases 2018–2022 ACS 5-year estimates. 2023. Available from: https://www.census.gov/programs-surveys/acs/news/updates/2023.html
United Nations. World population ageing 2022. New York (NY): United Nations; 2022.
Heart T, Kalderon E. Older adults: Are they ready to adopt health-related ICT? Int J Med Inform. 2013;82(11):e209–e231. Available from: https://doi.org/10.1016/j.ijmedinf.2011.03.002
Heart T. Study on adoption drivers: usefulness, confidence, and support among older adults. 2022.
National Institute of Standards and Technology. Digital identity guidelines (SP 800-63-3). Gaithersburg (MD): U.S. Department of Commerce; 2017. Available from: https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-63-3.pdf
National Institute of Standards and Technology. Face recognition vendor test (FRVT) reports. Gaithersburg (MD): U.S. Department of Commerce; 2020. Available from: https://www.nist.gov/programs-projects/face-recognition-vendor-test-frvt
Cybersecurity and Infrastructure Security Agency. Phishing guidance and best practices. Washington (DC): U.S. Department of Homeland Security; 2023.