DIGITAL TECHNOLOGIES IN HEART FAILURE CARE: ARTIFICIAL INTELLIGENCE, REMOTE MONITORING, AND SOCIAL IMPLICATIONS FOR EQUITABLE CARDIOVASCULAR HEALTH — A NARRATIVE REVIEW OF THE LITERATURE, 2022–2026

Authors

DOI:

https://doi.org/10.31435/ijitss.2(50).2026.5374

Keywords:

Heart Failure; Artificial Intelligence; Telemedicine; Remote Monitoring; Wearable Devices; Digital Health Equity

Abstract

Digital health has advanced dramatically since 2022 and will continue until 2026; this paper is a review of clinical use, implementation challenges, and social implications of digital health for patients with heart failure (HF). Literature was reviewed from January 1, 2022 to March 31, 2026. Priority was placed on publications by major international organizations (World Health Organization [WHO], American Heart Association [AHA], European Society of Cardiology [ESC] etc.) and peer-reviewed indexed journals focused on HF including diagnosis, risk stratification, surveillance, self-care, and health disparities. Artificial intelligence (AI) appears to improve ECG screening, imaging interpretation, and multimodal phenotyping and short term risk prediction. Structured remote monitoring systems also have been demonstrated to reduce hospitalizations and mortality when applied within defined clinical pathways. Telemedicine and wearable devices appear to be effective tools to support patient self-management and enhance follow up. However, both are highly dependent on many factors, including: digital literacy, reimbursement, staffing levels, device compatibility, and institutional structure. In addition, the literature suggests that a digital transformation will exacerbate existing inequities unless these technologies are designed to address the barriers of age, language, socioeconomic status, algorithmic bias, and unequal access to technology and the internet.

References

Alyacoub, R. (2025). Artificial intelligence in heart failure: A comprehensive literature review. Cardiology Journal, 32(6), 655–665. https://doi.org/10.5603/cj.104365

Armoundas, A. A., Narayan, S. M., Arnett, D. K., Spector-Bagdady, K., Bennett, D. A., Celi, L. A., Friedman, P. A., Gollob, M. H., Hall, J. L., Kwitek, A. E., Lett, E., Menon, B. K., Sheehan, K. A., Al-Zaiti, S. S., & American Heart Association Institute for Precision Cardiovascular Medicine Committee. (2024). Use of artificial intelligence in improving outcomes in heart disease: A scientific statement from the American Heart Association. Circulation, 149(14), e1028–e1050. https://doi.org/10.1161/CIR.0000000000001201

Azizi, Z., Broadwin, C., Islam, S., Schenk, J., Din, N., Funes Hernandez, M., Wang, P., Longenecker, C. T., Rodriguez, F., & Sandhu, A. T. (2024). Digital health interventions for heart failure management in underserved rural areas of the United States: A systematic review of randomized trials. Journal of the American Heart Association, 13(2), e030956. https://doi.org/10.1161/JAHA.123.030956

Bayes-Genis, A., Pagnesi, M., Codina, P., Abraham, W. T., Amir, O., de Boer, R. A., Brugts, J. J., Chioncel, O., Gustafsson, F., Lindenfeld, J., Mullens, W., Petrie, M. C., Rosano, G., & Metra, M. (2025). Remote pulmonary artery pressure-guided management of patients with heart failure: A clinical consensus statement of the Heart Failure Association (HFA) of the ESC. European Journal of Heart Failure, 27(9), 1644–1657. https://doi.org/10.1002/ejhf.3619

Cajita, M., Peters, L., Rao, V. N., Kitsiou, S., Leigh, J. W., Kansal, M. M., Vuckovic, K. M., Reilly, C. M., Bozkurt, B., Fedson, S., & DeVore, A. D. (2026). Integrated health technologies in heart failure: A scientific statement from the Heart Failure Society of America and the American Association of Heart Failure Nurses. Heart & Lung. Advance online publication. https://doi.org/10.1016/j.hrtlng.2025.11.020

De Lathauwer, I. L. J., Nieuwenhuys, W. W., Hafkamp, F., Kuepers, B. G. M., Brunner-La Rocca, H.-P., & van Empel, V. P. M. (2025). Remote patient monitoring in heart failure: A comprehensive meta-analysis of effective programme components for hospitalization and mortality reduction. European Journal of Heart Failure, 27(9), 1670–1685. https://doi.org/10.1002/ejhf.3568

Desai, A. S., Pandey, A., Suratekar, R., Ahmad, F. S., Alger, H. M., Anto, A. G., Nujum, S. G., Lopez-Jimenez, F., Oh, J. K., Asfahan, S., Narasimha, S., Reddy, S. N., Kaligounder, L., Ciga, M., Awasthi, S., Butler, J., Shah, S. H., & Shah, S. J. (2026). Predicting heart failure from 12-lead ECGs using AI: A HeartShare/AMP-HF pooled cohort analysis. Journal of the American College of Cardiology, 87(8), 990–1005. https://doi.org/10.1016/j.jacc.2025.10.065

Dhingra, L. S., Aminorroaya, A., Pedroso, A. F., Khunte, A., Sangha, V., McIntyre, D., Chow, C. K., Asselbergs, F. W., Brant, L. C. C., Barreto, S. M., Ribeiro, A. L. P., Krumholz, H. M., Oikonomou, E. K., & Khera, R. (2025). Artificial intelligence-enabled prediction of heart failure risk from single-lead electrocardiograms. JAMA Cardiology, 10(6), 574–584. https://doi.org/10.1001/jamacardio.2025.0492

Gaona, G. A., Kassamali, A. A., Isakadze, N., & Martin, S. S. (2024). Harnessing wearables and digital technologies to decode the cardiovascular exposome. Methodist DeBakey Cardiovascular Journal, 20(5), 59–70. https://doi.org/10.14797/mdcvj.1459

Ginsburg, G. S., Picard, R. W., & Friend, S. H. (2024). Key issues as wearable digital health technologies enter clinical care. New England Journal of Medicine, 390(12), 1118–1127. https://doi.org/10.1056/NEJMra2307160

Hanneman, K., Playford, D., Dey, D., van Assen, M., Mastrodicasa, D., Cook, T. S., Gichoya, J. W., Williamson, E. E., & Rubin, G. D. (2024). Value creation through artificial intelligence and cardiovascular imaging: A scientific statement from the American Heart Association. Circulation, 149(6), e296–e311. https://doi.org/10.1161/CIR.0000000000001202

Hon, J. J., & Carr-White, G. (2026). The digital divide in cardiovascular care: Who gets left behind? European Heart Journal – Digital Health, 7(2), ztag011. https://doi.org/10.1093/ehjdh/ztag011

Jamieson, A., Chico, T. J. A., Jones, S., Chaturvedi, N., Hughes, A. D., & Orini, M. (2025). A guide to consumer-grade wearables in cardiovascular clinical care and population health for non-experts. npj Cardiovascular Health, 2(1), Article 44. https://doi.org/10.1038/s44325-025-00082-6

Kim, D. S., Eltahir, A. A., Ngo, S., & Rodriguez, F. (2024). Bridging the gap: How accounting for social determinants of health can improve digital health equity in cardiovascular medicine. Current Atherosclerosis Reports, 27(1), Article 9. https://doi.org/10.1007/s11883-024-01249-9

Masotta, V., Dante, A., Caponnetto, V., Marcotullio, A., Ferraiuolo, F., Bertocchi, L., D’Eramo, C., Tontodonati, M., & Martone, D. (2024). Telehealth care and remote monitoring strategies in heart failure patients: A systematic review and meta-analysis. Heart & Lung, 64, 149–167. https://doi.org/10.1016/j.hrtlng.2024.01.003

Masterson Creber, R., Hickey, K. T., Maurer, M. S., Breathett, K., Choi, E., Colon-Emeric, C., Davis, L. L., Hall, J. L., Heisler, M., Jaarsma, T., Kitzman, D. W., Rich, M. W., Sterling, M. R., Warraich, H. J., Wessler, B. S., White-Williams, C., & Ibrahim, N. E. (2023). Telehealth and health equity in older adults with heart failure: A scientific statement from the American Heart Association. Circulation: Cardiovascular Quality and Outcomes, 16(11), e000123. https://doi.org/10.1161/HCQ.0000000000000123

McDonagh, T. A., Metra, M., Adamo, M., Gardner, R. S., Baumbach, A., Böhm, M., Burri, H., Butler, J., Čelutkienė, J., Chioncel, O., Cleland, J. G. F., Coats, A. J. S., Crespo-Leiro, M. G., Farmakis, D., Gilard, M., Heymans, S., Hoes, A. W., Jaarsma, T., Jankowska, E. A., . . . ESC Scientific Document Group. (2023). 2023 focused update of the 2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure. European Heart Journal, 44(37), 3627–3639. https://doi.org/10.1093/eurheartj/ehad195

Medhi, D., Kamidi, S. R., Mamatha Sree, K. P., Shaikh, S., Rasheed, S., Murichathil, A. H. T., & Nazir, Z. (2024). Artificial intelligence and its role in diagnosing heart failure: A narrative review. Cureus, 16(5), e59661. https://doi.org/10.7759/cureus.59661

Monlezun, D. J., Omutoko, L., Oduor, P., Kokonya, D., Rayel, J., Sotomayor, C., Girault, M. I., De Los Rios Uriarte, M. E., Sinyavskiy, O., Aksamit, T., Dugani, S. B., Garcia, A., & Gallagher, C. (2025). Digitalization of health care in low- and middle-income countries. Bulletin of the World Health Organization, 103(2), 148–154. https://doi.org/10.2471/BLT.24.291643

Myhre, P. L., Tromp, J., Ouwerkerk, W., Ting, D. S. W., Docherty, K. F., Gibson, C. M., & Lam, C. S. P. (2024). Digital tools in heart failure: Addressing unmet needs. The Lancet Digital Health, 6(10), e755–e766. https://doi.org/10.1016/S2589-7500(24)00158-4

Nair, P., Dai, M., Patel, D. A., Pearlman, K., & Shah, S. D. (2025). Equity by design—Using digital technology to overcome cardiovascular health disparities. Current Cardiology Reports, 27(1), Article 157. https://doi.org/10.1007/s11886-025-02319-3

Nazir, A., Nazir, A., Jamal, M. S. W., Sadiq, S. U. R., Aman, S., Mustapha, M. J., Lawal, S. O., AbdulKareem, M. O., & Bamigbola, M. F. (2025). Wearable technology and its potential role in cardiovascular health monitoring and disease management. Health Science Reports, 8(11), e71486. https://doi.org/10.1002/hsr2.71486

Noci, F., Capodici, A., Nuti, S., Passino, C., Emdin, M., & Giannoni, A. (2025). Wearable technologies to predict and prevent heart failure hospitalizations: A systematic review. European Heart Journal – Digital Health, 6(5), 868–877. https://doi.org/10.1093/ehjdh/ztaf079

Pierre-Jean, M., Marut, B., Curtis, E., Leclercq, C., Samset, E., Hernandez, A. F., Donal, E., & Omar, A. M. S. (2024). Phenotyping of heart failure with preserved ejection fraction using electronic health records and echocardiography. European Heart Journal Open, 4(1), oead133. https://doi.org/10.1093/ehjopen/oead133

Powell-Wiley, T. M., Brewer, L. C., Burke, L. E., Hernandez, R., Landsbaugh Kaar, J., Kepper, M., Kline, C. E., Lopez, K. N., Roberson, S., Spees, C. K., & Jerome, G. J. (2025). Role of technology in promoting heart healthy behavior change to increase equity in optimal cardiovascular health: A scientific statement from the American Heart Association. Circulation, 151(18), e972–e985. https://doi.org/10.1161/CIR.0000000000001314

Sau, A., Pastika, L., Sieliwonczyk, E., Patlatzoglou, K., Ribeiro, A. H., McGurk, K. A., Zeidaabadi, B., Zhang, H., Macierzanka, K., Mandic, D., Sabino, E., Giatti, L., Barreto, S. M., do Valle Camelo, L., Tzoulaki, I., O’Regan, D. P., Peters, N. S., Ware, J. S., Ribeiro, A. L. P., . . . Ng, F. S. (2024). Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: A model development and validation study. The Lancet Digital Health, 6(11), e791–e802. https://doi.org/10.1016/S2589-7500(24)00172-9

Scagliusi, S. F., Gimenez-Miranda, L., Perez-Garcia, P., Olmo-Fernandez, A., Huertas-Sanchez, G., Medrano-Ortega, F. J., & Yufera-Garcia, A. (2024). Wearable devices based on bioimpedance test in heart failure: Design issues. Reviews in Cardiovascular Medicine, 25(9), Article 320. https://doi.org/10.31083/j.rcm2509320

Teleanu, I. C., Bejan, G. C., Poiana, I. R., Mirsu-Paun, A., Dumitrescu, S. I., & Stanescu, A. M. A. (2025). Remote monitoring of patients with heart failure: Characteristics of effective programs and implementation strategies. Vascular Health and Risk Management, 21, 489–503. https://doi.org/10.2147/VHRM.S521952

Tolu-Akinnawo, O., Akhtar, N., Zalavadia, N., & Guglin, M. (2025). CardioMEMS heart failure system: An up-to-date review. Cureus, 17(1), e77816. https://doi.org/10.7759/cureus.77816

Tunis, R., West, E., Clifford, N., Horner, S., & Radhakrishnan, K. (2024). Leveraging digital health technologies in heart failure self-care interventions to improve health equity. Nursing Outlook, 72(5), 102225. https://doi.org/10.1016/j.outlook.2024.102225

Vinter, N., Elmegaard, M., Køber, L., & Schou, M. (2026). Inequity in access to and use of digital health technologies in routine heart failure care: Protocol for a scoping review. JMIR Research Protocols, 15, e81949. https://doi.org/10.2196/81949

World Health Organization. (2021). Global strategy on digital health 2020–2025. https://www.who.int/publications/i/item/9789240020924

World Health Organization. (2025). Global repository on national digital health strategies. Retrieved March 17, 2026, from https://www.who.int/teams/digital-health-and-innovation/global-repository-on-national-digital-health-strategies

World Health Organization Regional Office for Europe. (2026). Building financing pathways for digital health technologies in the WHO European Region. https://iris.who.int/server/api/core/bitstreams/d1d35fcb-fb8c-4e1c-adb2-b11cd6f312b5/content

Yi, J.-E., & Cho, J. S. (2026). Artificial intelligence in HFpEF: Diagnosis, prognosis, and management strategies. Journal of Cardiology, 87(2), 113–120. https://doi.org/10.1016/j.jjcc.2025.08.018

Zhang, C., Yang, Z., & Tang, Y.-D. (2026). Integrating multimodal intelligence in heart failure: AI-driven risk prediction, precision diagnosis, phenotyping, personalized treatment, and prognosis. Chinese Medical Journal, 139(5), 672–688. https://doi.org/10.1097/CM9.0000000000004000

Downloads

Published

2026-06-24

How to Cite

Marusza, M., Krupski, A., Stielow, V. ., & Zatyka, A. (2026). DIGITAL TECHNOLOGIES IN HEART FAILURE CARE: ARTIFICIAL INTELLIGENCE, REMOTE MONITORING, AND SOCIAL IMPLICATIONS FOR EQUITABLE CARDIOVASCULAR HEALTH — A NARRATIVE REVIEW OF THE LITERATURE, 2022–2026. International Journal of Innovative Technologies in Social Science, 4(2(50). https://doi.org/10.31435/ijitss.2(50).2026.5374