Development Trends and Prospects of Technology-Based Solutions for Health Challenges in Aging over the Past 25 Years: Bibliometric Analysis
Open accessPublished version of a preprint
Abstract
Background: As the global population ages, we witness a broad scientific and technological revolution tailored to meet the health challenges of older adults. Over the past 25 years, technological innovations, ranging from advanced medical devices to user-friendly mobile apps, are transforming the way we address these challenges, offering new avenues to enhance the quality of life and well-being of the aging demographic. Objective: This study aimed to systematically review the development trends in technology for managing and caring for the health of older adults over the past 25 years and to project future development prospects. Methods: We conducted a comprehensive bibliometric analysis of literatures related to technology-based solutions for health challenges in aging, published up to March 18, 2024. The search was performed using the Web of Science Core Collection, covering a span from 1999 to 2024. Our search strategy was designed to capture a broad spectrum of terms associated with aging, health challenges specific to older adults, and technological interventions. Results: A total of 1133 publications were found in the Web of Science Core Collection. The publication trend over these 25 years showed a gradual but fluctuating increase. The United States was the most productive country and participated in international collaboration most frequently. The predominant keywords identified through this analysis included “dementia,” “telemedicine,” “older-adults,” “telehealth,” and “care.” The keywords with citation bursts included “telemedicine” and “digital health.” Conclusions: The scientific and technological revolution has significantly improved older adult health management, particularly in chronic disease monitoring, mobility, and social connectivity. The momentum for innovation continues to build, with future research likely to focus on predictive analytics and personalized health care solutions, further enhancing older adults’ independence and quality of life.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The United States leads in the number of articles on technology for aging.
“Based on a bibliometric analysis concerning technology for aging, the USA leads in the number of articles, demonstrating its role as a forerunner in technological innovation for older adults [41].”
From Smart Speakers for Health and Well-Being of Older Adults: A Mixed-Methods Review (2025) · cites this paper as [41]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Software survey: VOSviewer, a computer program for bibliometric mapping
van Eck, N. J., & Waltman, L. (2010) · Scientometrics · doi:10.1007/s11192-009-0146-3 · Cited by 21,484 · see citing works
Searching for intellectual turning points: progressive knowledge domain visualization
Chen, C. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307513100 · Cited by 2,791 · see citing works
Lack of Exercise Is a Major Cause of Chronic Diseases
Booth, F. W., Roberts, C. K., & Laye, M. J. (2012) · Comprehensive Physiology · doi:10.1002/cphy.c110025 · Cited by 2,575 · see citing works
Leigh-Hunt, N., Bagguley, D., Bash, K., Turner, V., Turnbull, S., Valtorta, N., & Caan, W. (2017) · Public Health · doi:10.1016/j.puhe.2017.07.035 · Cited by 2,158 · cited 1× · see citing works
“Social isolation can lead to an increase in mental and physical health problems, which is an important health challenge for older adults, especially those with cognitive conditions, so taking steps to reduce social isolation is critical to the health of older adults [32,33].”
The World Health Organization (WHO) approach to healthy ageing
Rudnicka, E., Napierała, P., Podfigurna, A., Męczekalski, B., Smolarczyk, R., & Grymowicz, M. (2020) · Maturitas · doi:10.1016/j.maturitas.2020.05.018 · Cited by 1,750 · see citing works
A review of smart homes—Present state and future challenges
Chan, M., Estève, D., Escriba, C., & Campo, E. (2008) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2008.02.001 · Cited by 1,007 · see citing works
Jaul, E., & Barron, J. (2017) · Frontiers in Public Health · doi:10.3389/fpubh.2017.00335 · Cited by 946 · see citing works
Mobile-health: A review of current state in 2015
Silva, B. M. C., Rodrigues, J. J. P. C., Díez, I. D. L. T., López-Coronado, M., & Saleem, K. (2015) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2015.06.003 · Cited by 876 · see citing works
Choi, N. G., & DiNitto, D. M. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2645 · Cited by 871 · see citing works
Collado-Mateo, D., Lavín-Pérez, A. M., Peñacoba, C., Del Coso, J., Leyton-Román, M., Luque-Casado, A., Gasque, P., Fernández-del-Olmo, M. Á., & Amado-Alonso, D. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18042023 · Cited by 791 · cited 1× · see citing works
“Additionally, by encouraging older adults to participate in physical activity and providing remote guidance and monitoring, their physical and mental health can be improved, thereby reducing the risk of chronic disease [42,43].”
Major Trends in Population Growth Around the World
Gu, D., United Nations Population Division, N. Y., Andreev, K. F., & Dupre, M. E. (2021) · China CDC Weekly · doi:10.46234/ccdcw2021.160 · Cited by 768 · see citing works
Sepúlveda-Loyola, W., Rodríguez-Sánchez, I., Pérez-Rodríguez, P., Ganz, F., Torralba, R., Oliveira, D. V., & Rodríguez-Mañas, L. (2020) · The Journal of nutrition, health and aging · doi:10.1007/s12603-020-1500-7 · Cited by 736 · see citing works
Unobtrusive Sensing and Wearable Devices for Health Informatics
Zheng, Y.-L., Ding, X., Poon, C. C. Y., Lo, B. P. L., Zhang, H., Zhou, X.-L., Yang, G., Zhao, N., & Zhang, Y. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2309951 · Cited by 725 · see citing works
Smart homes and home health monitoring technologies for older adults: A systematic review
Liu, L., Stroulia, E., Nikolaidis, I., Cruz, A. M., & Rincon, A. M. R. (2016) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2016.04.007 · Cited by 711 · see citing works
Self-citationFang, E. F., Xie, C., Schenkel, J. A., Wu, C., Long, Q., Cui, H., Aman, Y., Frank, J., Liao, J., Zou, H., et al. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101174 · Cited by 704 · see citing works
Ong, M. K., Romano, P. S., Edgington, S., Aronow, H. U., Auerbach, A. D., Black, J. T., De Marco, T., Escarce, J. J., Evangelista, L. S., Hanna, B., et al. (2016) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2015.7712 · Cited by 695 · see citing works
Consequences of chronic diseases and other limitations associated with old age – a scoping review
Marešová, P., Javanmardi, E., Baraković, S., Husić, J. B., Tomsone, S., Krejcar, O., & Kuča, K. (2019) · BMC Public Health · doi:10.1186/s12889-019-7762-5 · Cited by 689 · see citing works
Older adults' attitudes towards and perceptions of ‘smart home’ technologies: a pilot study
Demiris, G., Rantz, M., Aud, M. A., Marek, K. D., Tyrer, H. W., Skubic, M., & Hussam, A. A. (2004) · Medical Informatics and the Internet in Medicine · doi:10.1080/14639230410001684387 · Cited by 669 · see citing works
Mild cognitive impairment and its management in older people
Eshkoor, S. A., Mun, C. Y., Ng, C. K., & Hamid, T. A. (2015) · Clinical Interventions in Aging · doi:10.2147/cia.s73922 · Cited by 428 · see citing works
Wang, Z., Yang, Z., & Dong, T. (2017) · Sensors · doi:10.3390/s17020341 · Cited by 357 · see citing works
Bitar, H., & Alismail, S. (2021) · DIGITAL HEALTH · doi:10.1177/20552076211009396 · Cited by 325 · see citing works
What is Digital Health? Review of Definitions
Fatehi, F., Samadbeik, M., & Kazemi, A. (2020) · Studies in health technology and informatics · doi:10.3233/shti200696 · Cited by 197 · see citing works
Mohammed, K. I., Zaidan, A. A., Zaidan, B. B., Albahri, O. S., Alsalem, M. A., Albahri, A. S., Hadi, A., & Hashim, M. S. (2019) · Journal of Medical Systems · doi:10.1007/s10916-019-1362-x · Cited by 171 · see citing works
Future Smart Connected Communities to Fight COVID-19 Outbreak
Gupta, D., Bhatt, S., Gupta, M., & Tosun, A. Ş. (2020) · Internet of Things · doi:10.1016/j.iot.2020.100342 · Cited by 123 · see citing works
Medical and Assistive Health Technology: Meeting the Needs of Aging Populations: Table 1.
Garçon, L., Khasnabis, C., Walker, L., Nakatani, Y., Lapitan, J. M., Borg, J., Ross, A., & Berumen, A. V. (2016) · The Gerontologist · doi:10.1093/geront/gnw005 · Cited by 95 · see citing works
Satariano, W. A., Scharlach, A. E., & Lindeman, D. A. (2014) · Journal of Aging and Health · doi:10.1177/0898264314543470 · Cited by 89 · see citing works
Health-enabling technologies for the elderly – An overview of services based on a literature review
Ludwig, W., Wolf, K.-H., Duwenkamp, C., Gusew, N., Hellrung, N., Marschollek, M., Wagner, M., & Haux, R. (2011) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2011.11.001 · Cited by 85 · see citing works
Ambagtsheer, R. C., Shafiabady, N., Dent, E., Seiboth, C., & Beilby, J. P. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2020.104094 · Cited by 79 · see citing works
Kenyon, K., Kinakh, V., & Harrison, J. (2023) · Scientific Reports · doi:10.1038/s41598-023-46494-1 · Cited by 68 · see citing works
Abraham, C., Nishihara, E., & Akiyama, M. O. (2011) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2011.01.002 · Cited by 64 · see citing works
Marston, H. R., & Samuels, J. (2019) · Healthcare · doi:10.3390/healthcare7010049 · Cited by 59 · see citing works
Lunardini, F., Luperto, M., Romeo, M., Basilico, N., Daniele, K., Azzolino, D., Damanti, S., Abbate, C., Mari, D., Cesari, M., et al. (2020) · JMIR mhealth and uhealth · doi:10.2196/17963 · Cited by 48 · see citing works
Evidence and User Considerations of Home Health Monitoring for Older Adults: Scoping Review
Chan, A., Cohen, R., Robinson, K.-M., Bhardwaj, D., Gregson, G., Jutai, J. W., Millar, J., Rincon, A. M. R., & Fekr, A. R. (2022) · JMIR Aging · doi:10.2196/40079 · Cited by 40 · see citing works
Ekstedt, M., Kirsebom, M., Lindqvist, G., Kneck, Å., Kneck, Å., Flink, M., & Wannheden, C. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19010391 · Cited by 39 · see citing works
He, Z., Dai, L., Zuo, Y., Chen, Y., Wang, H., & Zeng, H. (2022) · Bioengineered · doi:10.1080/21655979.2022.2100064 · Cited by 38 · see citing works
Nilsson, M., Andersson, S. K., Magnusson, L., & Hanson, E. J. (2020) · Health Science Reports · doi:10.1002/hsr2.225 · Cited by 34 · see citing works
Smartwatches Can Detect Walker and Cane Use in Older Adults
Antos, S. A., Danilovich, M., Eisenstein, A., Gordon, K. E., & Kording, K. P. (2019) · Innovation in Aging · doi:10.1093/geroni/igz008 · Cited by 34 · see citing works
Zhou, H., Al-Ali, F. S., Rahemi, H., Kulkarni, N., Hamad, A., Ibrahim, R., Talal, T. K., & Najafi, B. (2018) · Sensors · doi:10.3390/s18113939 · Cited by 33 · see citing works
Global Research Trends on Smart Homes for Older Adults: Bibliometric and Scientometric Analyses
Hong, Y.-K., Wang, Z., & Cho, J. Y. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192214821 · Cited by 29 · see citing works
Xie, B., Champion, J. D., Kwak, J., & Fleischmann, K. R. (2018) · Journal of Medical Internet Research · doi:10.2196/11682 · Cited by 26 · see citing works
Li, T., Yang, A., Liu, G., Zou, S., Chen, Y., Ni, B., Liu, Y., & Fan, J. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.744308 · Cited by 26 · see citing works
Farias, S. T., Fox, J., Dulaney, H., Chan, M. L., Namboodiri, S., Harvey, D. J., Weakley, A. M., Rahman, S., Luna, C. M., Beech, B. F., et al. (2023) · BMC Geriatrics · doi:10.1186/s12877-023-04574-x · Cited by 24 · see citing works
Krebs, P. M., Shtaynberger, J., McCabe, M. S., Iocolano, M., Williams, K., Shuk, E., & Ostroff, J. S. (2017) · JMIR Cancer · doi:10.2196/cancer.6435 · Cited by 21 · see citing works
Penno, E., & Gauld, R. D. C. (2017) · Health Systems & Reform · doi:10.1080/23288604.2017.1340927 · Cited by 15 · see citing works
Health care in future community: innovatively discover and respond to the needs of today’s seniors
Zhou, B., Deng, Q., Zhou, S., & Zhuo, D. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1302493 · Cited by 15 · see citing works
den Buijs, J. O., Nikolova-Simons, M., Golas, S. B., Fischer, N. C., Felsted, J. A., Schertzer, L., Agboola, S. O., Kvedar, J. C., & Jethwani, K. (2018) · JMIR Medical Informatics · doi:10.2196/medinform.9907 · Cited by 14 · see citing works
Machine learning models for predicting the risk factor of carotid plaque in cardiovascular disease
Bin, C., Li, Q., Tang, J. P., Dai, C., Jiang, T., Xie, X., Qiu, M., Chen, L., & Yang, S. (2023) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2023.1178782 · Cited by 11 · see citing works
Tokita, J. E., Lam, D. W.-H., Vega, A., Wang, S. Y., Amoruso, L., Müller, T., Naik, N., Rathi, S., Martin, S., Zabetian, A., et al. (2024) · Journal of Primary Care & Community Health · doi:10.1177/21501319231223437 · Cited by 10 · see citing works
Self-citationLiu, J., Wang, L., Fang, H., Wang, X., Wu, L., & Zhang, J. (2022) · Medicine · doi:10.1097/md.0000000000031788 · Cited by 10 · see citing works
Self-citationArtificial intelligence based on falling in older people: A bibliometric analysis
Yenişehir, S. (2024) · Aging Medicine · doi:10.1002/agm2.12302 · Cited by 9 · see citing works
Über das Smartphone Wissen und Unterstützung für pflegende Angehörige bereitstellen
Rutz, M., Gerlach, M., Schmeer, R., Gaugisch, P., Bauer, A., Wolff, D., Behrends, M., Kupka, T., Raudies, S., Meyenburg-Altwarg, I., et al. (2019) · Pflege · doi:10.1024/1012-5302/a000695 · Cited by 7 · see citing works
CASEPLUS-SimPat: An Intersectoral Web-Based Case Management System for Multimorbid Dementia Patients
Steiner, B., Zippel‐Schultz, B., Popa, A., Hellrung, N., Szczesny, S., Möller, C., Schultz, C., & Haux, R. (2020) · Journal of Medical Systems · doi:10.1007/s10916-020-1533-9 · Cited by 6 · see citing works
Flagged first, then by citations
1 of the 53 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- [45]Ronquillo Y Meyers A Korvek SJ Digital health StatPearls 2023 5 1 2024-09-10 Treasure Island, FL StatPearls Publishing https://www.ncbi.nlm.nih.gov/books/NBK470260/ 29262125
Cited by
Sorted by citations
Smart Speakers for Health and Well-Being of Older Adults: A Mixed-Methods Review
Dino, M. J., Leinbach, C., Dino, G., Thiamwong, L., Villafuerte, C. M., Shattell, M., Pimentel, J., Zamora, M. A., Bautista, A., Vitug, J. P., et al. (2025) · Healthcare · doi:10.3390/healthcare13212772 · Cited by 5 · see citing works
Du, C., Zhou, J. T., & Yu, Y. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1608266 · Cited by 4 · see citing works
Cao, S., Chen, Y., Wen, D., Li, R., Zhang, M., Wang, A., Li, H., Xiao, Y., & Xiao, X. (2025) · ACS Applied Polymer Materials · doi:10.1021/acsapm.5c03220 · Cited by 4 · see citing works
Self-citationPreparing Future Oral Health Scientists: A Path Forward in Changing Times
D’Souza, R. N., & Lipton, J. A. (2025) · Journal of Dental Research · doi:10.1177/00220345251387580 · Cited by 2 · see citing works
Welton, L. L., Colley, A., Sudore, R. L., Melton, G. B., Botsford, C., Oreper, S., O'Brien, S. E., Koopmeiners, J. S., Gibbs, L., Carmichael, J. C., et al. (2025) · BMJ Open · doi:10.1136/bmjopen-2025-108850 · Cited by 1 · see citing works
Hong, J., Yang, Q., Zhong, F., Fang, M., Guo, Y., & Chen, X. (2025) · Journal of Cardiothoracic Surgery · doi:10.1186/s13019-025-03599-0 · Cited by 1 · see citing works
Kabakci, M., Uğur, H. G., & ŞENGÜR, Ş. (2026) · Public Health Nursing · doi:10.1111/phn.70084 · Cited by 1 · see citing works
Ali, N. M., Zuki, M. A. M., Othman, S., Alhalaseh, L., & Al-Salaymeh, A. (2026) · Journal of Advances in Information Technology · doi:10.12720/jait.17.4.648-662 · Cited by 1 · see citing works
Zhu, S.-C., Dong, J., Wu, Y., Gao, Y., Gao, R., Yuan, Y.-H., Wang, S., & Zhang, G.-W. (2026) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2026.1716935 · Cited by 1 · see citing works
Self-citationGe, R., Jiang, Y., Guo, T., Li, H., zhang, Y., Zhao, X., Wu, Y., Wu, D., Khan, H. T. A., Dong, Z., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-6407684/v1
Self-citationDynamics of Social and Technological Entrepreneurship Ecosystems for Health Innovation
Flämig, N. (2026) · Projectics / Proyéctica / Projectique · doi:10.3917/proj.043.0063
Gosch, M., Bauer, J., Bollheimer, C., Dodel, R. C., Gollasch, M., Heppner, H. J., Hofbauer, L., Hj, L., Müller‐Werdan, U., Polidori, M. C., et al. (2026) · Zeitschrift für Gerontologie und Geriatrie · doi:10.1007/s00391-026-02628-4
Lee, C. S., Gong, P., Koh, G. C. H., & Tan, N. C. (2026) · Family Medicine and Community Health · doi:10.1136/fmch-2026-004076
- Authors
- Liu, L., Wang, X.-L., Cheng, N., Yu, F.-M., Li, H.-J., Mu, Y., Yuan, Y., Dong, J.-X., Wu, Y.-D., Gong, D.-X., Wang, S., & Zhang, G.-W.
- Affiliations
- First Hospital of China Medical University (CN)
- Guangdong Academy of Medical Sciences (CN)
- Liaoning Cancer Hospital & Institute (CN)
- China Medical University (CN)
- ORCID
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2024-09-20
- Volume
- 26
- Pages
- e63367
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC11452759
- OpenAlex
- W4402317996
- Cited by
- 13
- References
- 53
- Citations by year
- 2026: 6 · 2025: 7
- FWCI
- 11.16
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Medical Internet Research (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Department of Science and Technology of Liaoning Province (2023JH2)
- National Key Research and Development Program of China (2020YFC2006401, 2020YFC2006406)
- Topics
- Social Sciences › Demography › Technology Use by Older Adults
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
- Health Sciences › Health Professions › General Health Professions › Aging, Elder Care, and Social Issues
- Keywords
- aging, older adults, telemedicine, digital health, dementia, chronic disease monitoring, mobility, social connectedness, quality of life, research trends, citation bursts
- MeSH terms
- Aged, Aging, Humans, Quality of Life, Bibliometrics, Telemedicine
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review