TELEMEDICINE IN CHRONIC DISEASE MANAGEMENT: CLINICAL EFFICACY, THE DIGITAL DIVIDE 2.0, AND IMPLEMENTATION REALITIES
DOI:
https://doi.org/10.31435/ijitss.1(49).2026.4799Keywords:
Telemedicine, Chronic Disease Management, Remote Patient Monitoring, Digital Divide, Socio-Technical Barriers, Implementation ScienceAbstract
As chronic non-communicable diseases (NCDs) reach epidemic proportions globally, traditional episodic care models remain insufficient, necessitating a shift toward continuous, technology-driven management. This narrative review critically assesses the clinical utility of telemedicine interventions—specifically continuous glucose monitoring, remote hypertension surveillance, and implantable hemodynamic sensors—while examining the persistent socio-technical barriers impeding their widespread adoption. Based on a comprehensive synthesis of literature from PubMed/MEDLINE, Scopus, and Google Scholar (2020–2025), this study contrasts clinical efficacy with implementation realities. The evidence confirms that while telemedical tools consistently surpass conventional care in stabilizing metabolic control and lowering hospitalization rates, their long-term viability is compromised by the "Digital Divide 2.0"—a phenomenon defined by deficits in digital literacy and usability challenges among the elderly. Moreover, the analysis identifies systemic bottlenecks, including fragmented data standardization and the exclusion of patient-generated health data from routine workflows. Ethical tensions surrounding algorithmic paternalism and surveillance fatigue are also highlighted as critical factors affecting patient autonomy. Ultimately, bridging the gap between digital capability and sustainable practice requires moving beyond technological determinism toward a holistic strategy that integrates policy innovation, human-centered design, and ethical data governance.
References
Abedian, S., Yesakov, E., Ostrovskiy, S., & Hussein, R. (2025). Streamlining wearable data integration for EHDS: a case study on advancing healthcare interoperability using Garmin devices and FHIR. Frontiers in digital health, 7, 1636775. https://doi.org/10.3389/fdgth.2025.1636775
AlQassab, O., Kanthajan, T., Pandey, M., Francis, A. J., Sreenivasan, C., Parikh, A., & Nwosu, M. (2024). Evaluating the Impact of Telemedicine on Diabetes Management in Rural Communities: A Systematic Review. Cureus, 16(7), e64928. https://doi.org/10.7759/cureus.64928
Amann, J., Blasimme, A., Vayena, E., Frey, D., Madai, V. I., & Precise4Q consortium (2020). Explainability for artificial intelligence in healthcare: a multidisciplinary perspective. BMC medical informatics and decision making, 20(1), 310. https://doi.org/10.1186/s12911-020-01332-6
Armstrong, D. (1995). The rise of surveillance medicine. Sociology of Health & Illness, 17(3), 393–404. https://doi.org/10.1111/1467-9566.ep10933329.
Beck, R. W., Riddlesworth, T., Ruedy, K., Ahmann, A., Bergenstal, R., Haller, S., ... & Price, D. (2017). Effect of continuous glucose monitoring on glycemic control in adults with type 1 diabetes using insulin injections: The DIAMOND randomized clinical trial. JAMA, 317(4), 371-378. https://doi.org/10.1001/jama.2016.19975
Boers, E., Barrett, M., Su, J. G., Benjafield, A. V., Sinha, S., Kaye, L., Zar, H. J., Vuong, V., Tellez, D., Gondalia, R., Rice, M. B., Nunez, C. M., Wedzicha, J. A., & Malhotra, A. (2023). Global Burden of Chronic Obstructive Pulmonary Disease Through 2050. JAMA network open, 6(12), e2346598. https://doi.org/10.1001/jamanetworkopen.2023.46598
Brinsley, J., O'Connor, E. J., Singh, B., McKeon, G., Curtis, R., Ferguson, T., Gosse, G., Willems, I., Marent, P. J., Szeto, K., Firth, J., & Maher, C. (2025). Effectiveness of Digital Lifestyle Interventions on Depression, Anxiety, Stress, and Well-Being: Systematic Review and Meta-Analysis. Journal of medical Internet research, 27, e56975. https://doi.org/10.2196/56975
Brugts, J. J., Radhoe, S. P., Clephas, P. R. D., Aydin, D., van Gent, M. W. F., Szymanski, M. K., Rienstra, M., van den Heuvel, M. H., da Fonseca, C. A., Linssen, G. C. M., Borleffs, C. J. W., Boersma, E., Asselbergs, F. W., Mosterd, A., Brunner-La Rocca, H. P., de Boer, R. A., & MONITOR-HF investigators (2023). Remote haemodynamic monitoring of pulmonary artery pressures in patients with chronic heart failure (MONITOR-HF): a randomised clinical trial. Lancet (London, England), 401(10394), 2113–2123. https://doi.org/10.1016/S0140-6736(23)00923-6
Chamaon, D., Sportel, E., Elferink, E. C. M., & van der Palen, J. (2025). Validation of an AI-Powered Smart Dry Powder Inhaler (RS01X) for Asthma and COPD in a Clinical Setting. International journal of chronic obstructive pulmonary disease, 20, 811–819. https://doi.org/10.2147/COPD.S490684
Chen, A., Chen, L., Cheston, K., Zamil, K., Chang, T., Cray, H., & Vahia, I. (2023). Emerging and Evolving Applications of Telemedicine for older adults: A Scoping Review. The American Journal of Geriatric Psychiatry, 31(3), S76. https://doi.org/10.1016/j.jagp.2022.12.240
Chiaranai, C., Chularee, S., Saokaew, S., Bhatarasakoon, P., Umnuaypornlert, A., Chaomuang, N., Doommai, N., & Nimkuntod, P. (2023). Effectiveness of telehealth on the glycemic control of patients with type 2 diabetes mellitus during the COVID-19 pandemic: A systematic review and meta-analysis of randomised controlled trials. International journal of nursing studies advances, 6, 100169. https://doi.org/10.1016/j.ijnsa.2023.100169
Cobelli, C., Renard, E., & Kovatchev, B. (2011). Artificial pancreas: past, present, future. Diabetes, 60(11), 2672–2682. https://doi.org/10.2337/db11-0654
Cohen, J. B., Lotito, M. J., Trivedi, U. K., Denker, M. G., Cohen, D. L., & Townsend, R. R. (2019). Cardiovascular Events and Mortality in White Coat Hypertension: A Systematic Review and Meta-analysis. Annals of internal medicine, 170(12), 853–862. https://doi.org/10.7326/M19-0223
Dillard-Wright J. (2019). Electronic health record as a panopticon: A disciplinary apparatus in nursing practice. Nursing philosophy : an international journal for healthcare professionals, 20(2), e12239. https://doi.org/10.1111/nup.12239
Elgammal, Z., Albrijawi, M. T., & Alhajj, R. (2025). Digital twins in healthcare: a review of AI-powered practical applications across health domains. Journal of Big Data 2025 12:1, 12(1), 234-. https://doi.org/10.1186/S40537-025-01280-W
Eruchalu, C. N., Pichardo, M. S., Bharadwaj, M., Rodriguez, C. B., Rodriguez, J. A., Bergmark, R. W., Bates, D. W., & Ortega, G. (2021). The Expanding Digital Divide: Digital Health Access Inequities during the COVID-19 Pandemic in New York City. Journal of urban health : bulletin of the New York Academy of Medicine, 98(2), 183–186. https://doi.org/10.1007/s11524-020-00508-9
Eurostat. (2024, July). Cardiovascular diseases statistics. Ec.europa.eu. https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Cardiovascular_diseases_statistics
Garg, S. K., Weinzimer, S. A., Tamborlane, W. V., Buckingham, B. A., Bode, B. W., Bailey, T. S., Brazg, R. L., Ilany, J., Slover, R. H., Anderson, S. M., Bergenstal, R. M., Grosman, B., Roy, A., Cordero, T. L., Shin, J., Lee, S. W., & Kaufman, F. R. (2017). Glucose Outcomes with the In-Home Use of a Hybrid Closed-Loop Insulin Delivery System in Adolescents and Adults with Type 1 Diabetes. Diabetes technology & therapeutics, 19(3), 155–163. https://doi.org/10.1089/dia.2016.0421
Givertz, M. M., Stevenson, L. W., Costanzo, M. R., Bourge, R. C., Bauman, J. G., Ginn, G., Abraham, W. T., & CHAMPION Trial Investigators (2017). Pulmonary Artery Pressure-Guided Management of Patients With Heart Failure and Reduced Ejection Fraction. Journal of the American College of Cardiology, 70(15), 1875–1886. https://doi.org/10.1016/j.jacc.2017.08.010
Gomez-Hernandez, M., Ferre, X., Moral, C., & Villalba-Mora, E. (2023). Design Guidelines of Mobile Apps for Older Adults: Systematic Review and Thematic Analysis. JMIR mHealth and uHealth, 11, e43186. https://doi.org/10.2196/43186
Gross, N., & Mothersill, D. (2023). Surveillance Capitalism in Mental Health: When Good Apps Go Rogue (and What Can Be Done about It). Social Sciences, 12(12), 679. https://doi.org/10.3390/socsci12120679
Guo, C., Ashrafian, H., Ghafur, S., Fontana, G., Gardner, C., & Prime, M. (2020). Challenges for the evaluation of digital health solutions-A call for innovative evidence generation approaches. NPJ digital medicine, 3, 110. https://doi.org/10.1038/s41746-020-00314-2
Haleem, A., Javaid, M., Singh, R. P., & Suman, R. (2021). Telemedicine for healthcare: Capabilities, features, barriers, and applications. Sensors international, 2, 100117. https://doi.org/10.1016/j.sintl.2021.100117
Hepburn, J., Williams, L., & McCann, L. (2025). Barriers to and Facilitators of Digital Health Technology Adoption Among Older Adults With Chronic Diseases: Updated Systematic Review. JMIR aging, 8, e80000. https://doi.org/10.2196/80000
Hovorka, R., Kumareswaran, K., Harris, J., Allen, J. M., Elleri, D., Xing, D., Kollman, C., Nodale, M., Murphy, H. R., Dunger, D. B., Amiel, S. A., Heller, S. R., Wilinska, M. E., & Evans, M. L. (2011). Overnight closed loop insulin delivery (artificial pancreas) in adults with type 1 diabetes: crossover randomised controlled studies. BMJ (Clinical research ed.), 342, d1855. https://doi.org/10.1136/bmj.d1855
Kenig, N., Garcia, D., Moreno, J. C., & Vives, A. M. (2024). Algorithmic Paternalism: Autonomy Versus Automation. International Journal of Transplantation & Plastic Surgery, 8(2), 1–3. https://doi.org/10.23880/IJTPS-16000193
Kim, C., Choi, H. E., Rhee, C. K., Song, J. H., & Lee, J. H. (2024). Efficacy of Digital Therapeutics for Pulmonary Rehabilitation: A Multi-Center, Randomized Controlled Trial. Life (Basel, Switzerland), 14(4), 469. https://doi.org/10.3390/life14040469
Koehler, F., Koehler, K., Deckwart, O., Prescher, S., Wegscheider, K., Kirwan, B. A., Winkler, S., Vettorazzi, E., Bruch, L., Oeff, M., Zugck, C., Doerr, G., Naegele, H., Störk, S., Butter, C., Sechtem, U., Angermann, C., Gola, G., Prondzinsky, R., Edelmann, F., … Stangl, K. (2018). Efficacy of telemedical interventional management in patients with heart failure (TIM-HF2): a randomised, controlled, parallel-group, unmasked trial. Lancet (London, England), 392(10152), 1047–1057. https://doi.org/10.1016/S0140-6736(18)31880-4
Kokkonen, J., Mustonen, P., Heikkilä, E., Leskelä, R. L., Pennanen, P., Krühn, K., Jalkanen, A., Laakso, J. P., Kempers, J., Väisänen, S., & Torkki, P. (2024). Effectiveness of Telemonitoring in Reducing Hospitalization and Associated Costs for Patients With Heart Failure in Finland: Nonrandomized Pre-Post Telemonitoring Study. JMIR mHealth and uHealth, 12, e51841. https://doi.org/10.2196/51841
Kwaah, P. A., Olumuyide, E., Farhat, K., Malaga-Espinoza, B., Abdullah, A., Beasley, M. H., Sari, N. Y., Stern, L. K., Lamprea-Montealegre, J. A., daSilva-deAbreu, A., & Hu, J.-R. (2025). Non-Invasive Telemonitoring in Heart Failure: A Systematic Review. Medicina, 61(7), 1277. https://doi.org/10.3390/medicina61071277
Lam, K., Lu, A. D., Shi, Y., & Covinsky, K. E. (2020). Assessing Telemedicine Unreadiness Among Older Adults in the United States During the COVID-19 Pandemic. JAMA internal medicine, 180(10), 1389–1391. https://doi.org/10.1001/jamainternmed.2020.2671
Lee, T. T. M., Collett, C., Bergford, S., Hartnell, S., Scott, E. M., Lindsay, R. S., Hunt, K. F., McCance, D. R., Barnard-Kelly, K., Rankin, D., Lawton, J., Reynolds, R. M., Flanagan, E., Hammond, M., Shepstone, L., Wilinska, M. E., Sibayan, J., Kollman, C., Beck, R., Hovorka, R., … AiDAPT Collaborative Group (2023). Automated Insulin Delivery in Women with Pregnancy Complicated by Type 1 Diabetes. The New England journal of medicine, 389(17), 1566–1578. https://doi.org/10.1056/NEJMoa2303911
Li, X., Huang, L., Zhang, H., & Liang, Z. (2025). Enabling Telemedicine From the System-Level Perspective: Scoping Review. Journal of medical Internet research, 27, e65932. https://doi.org/10.2196/65932
Lind, M., Polonsky, W., Hirsch, I. B., Heise, T., Bolinder, J., Dahlqvist, S., Schwarz, E., Ólafsdóttir, A. F., Frid, A., Wedel, H., Ahlén, E., Nyström, T., & Hellman, J. (2017). Continuous Glucose Monitoring vs Conventional Therapy for Glycemic Control in Adults With Type 1 Diabetes Treated With Multiple Daily Insulin Injections: The GOLD Randomized Clinical Trial. JAMA, 317(4), 379–387. https://doi.org/10.1001/jama.2016.19976
Lindenfeld, J., Zile, M. R., Desai, A. S., Bhatt, K., Ducharme, A., Horstmanshof, D., Krim, S. R., Maisel, A., Mehra, M. R., Paul, S., Sears, S. F., Sauer, A. J., Smart, F., Zughaib, M., Castaneda, P., Kelly, J., Johnson, N., Sood, P., Ginn, G., Henderson, J., … Costanzo, M. R. (2021). Haemodynamic-guided management of heart failure (GUIDE-HF): a randomised controlled trial. Lancet (London, England), 398(10304), 991–1001. https://doi.org/10.1016/S0140-6736(21)01754-2
Luengo-Fernandez, R., Walli-Attaei, M., Gray, A., Torbica, A., Maggioni, A. P., Huculeci, R., Bairami, F., Aboyans, V., Timmis, A. D., Vardas, P., & Leal, J. (2023). Economic burden of cardiovascular diseases in the European Union: a population-based cost study. European heart journal, 44(45), 4752–4767. https://doi.org/10.1093/eurheartj/ehad583
Lupton, D. (2013). The digitally engaged patient: Self-monitoring and self-care in the digital health era. Social Theory & Health, 11(3), 256–270. https://doi.org/10.1057/sth.2013.10
Mancia, G., Kreutz, R., Brunström, M., Burnier, M., Grassi, G., Januszewicz, A., Muiesan, M. L., Tsioufis, K., Agabiti-Rosei, E., Algharably, E. A. E., Azizi, M., Benetos, A., Borghi, C., Hitij, J. B., Cifkova, R., Coca, A., Cornelissen, V., Cruickshank, J. K., Cunha, P. G., Danser, A. H. J., … Kjeldsen, S. E. (2023). 2023 ESH Guidelines for the management of arterial hypertension The Task Force for the management of arterial hypertension of the European Society of Hypertension: Endorsed by the International Society of Hypertension (ISH) and the European Renal Association (ERA). Journal of hypertension, 41(12), 1874–2071. https://doi.org/10.1097/HJH.0000000000003480
Mao, A., Tam, L., Xu, A., Osborn, K., Sheffrin, M., Gould, C., Schillinger, E., Martin, M., & Mesias, M. (2022). Barriers to Telemedicine Video Visits for Older Adults in Independent Living Facilities: Mixed Methods Cross-sectional Needs Assessment. JMIR aging, 5(2), e34326. https://doi.org/10.2196/34326
Masterson Creber, R., Dodson, J. A., Bidwell, J., Breathett, K., Lyles, C., Harmon Still, C., Ooi, S. Y., Yancy, C., Kitsiou, S., & American Heart Association Cardiovascular Disease in Older Populations Committee of the Council on Clinical Cardiology and the Council on Cardiovascular and Stroke Nursing; Council on Quality of Care and Outcomes Research; and Council on Peripheral Vascular Disease (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
McCradden, M. D., & Kirsch, R. E. (2023). Patient wisdom should be incorporated into health AI to avoid algorithmic paternalism. Nature medicine, 29(4), 765–766. https://doi.org/10.1038/s41591-023-02224-8
McGill, D. E., Laffel, L. M., Volkening, L. K., Butler, D. A., Levy, W. L., Wasserman, R. M., & Anderson, B. J. (2020). Text Message Intervention for Teens with Type 1 Diabetes Preserves HbA1c: Results of a Randomized Controlled Trial. Diabetes technology & therapeutics, 22(5), 374–382. https://doi.org/10.1089/dia.2019.0350
McManus, R. J., Mant, J., Haque, M. S., Bray, E. P., Bryan, S., Greenfield, S. M., Jones, M. I., Jowett, S., Little, P., Penaloza, C., Schwartz, C., Shackleford, H., Shovelton, C., Varghese, J., Williams, B., Hobbs, F. D., Gooding, T., Morrey, I., Fisher, C., & Buckley, D. (2014). Effect of self-monitoring and medication self-titration on systolic blood pressure in hypertensive patients at high risk of cardiovascular disease: the TASMIN-SR randomized clinical trial. JAMA, 312(8), 799–808. https://doi.org/10.1001/jama.2014.10057
McManus, R. J., Mant, J., Franssen, M., Nickless, A., Schwartz, C., Hodgkinson, J., Bradburn, P., Farmer, A., Grant, S., Greenfield, S. M., Heneghan, C., Jowett, S., Martin, U., Milner, S., Monahan, M., Mort, S., Ogburn, E., Perera-Salazar, R., Shah, S. A., Yu, L. M., … TASMINH4 investigators (2018). Efficacy of self-monitored blood pressure, with or without telemonitoring, for titration of antihypertensive medication (TASMINH4): an unmasked randomised controlled trial. Lancet (London, England), 391(10124), 949–959. https://doi.org/10.1016/S0140-6736(18)30309-X
Meyerowitz-Katz, G., Ravi, S., Arnolda, L., Feng, X., Maberly, G., & Astell-Burt, T. (2020). Rates of Attrition and Dropout in App-Based Interventions for Chronic Disease: Systematic Review and Meta-Analysis. Journal of medical Internet research, 22(9), e20283. https://doi.org/10.2196/20283
Mkuu, R., Harle, C. A., Andreadis, K., Muellers, K. A., McDonnell, C., Goede, D., Shychuk, A., Ancker, J. S., Kaushal, R., & Lin, J. J. (2023). Financial factors that influenced telemedicine delivery during the COVID-19 pandemic. The American Journal of Accountable Care, 11(2), 7–14. https://doi.org/10.37765/AJAC.2023.89379
NCD Risk Factor Collaboration (NCD-RisC) (2024). Worldwide trends in diabetes prevalence and treatment from 1990 to 2022: a pooled analysis of 1108 population-representative studies with 141 million participants. Lancet (London, England), 404(10467), 2077–2093. https://doi.org/10.1016/S0140-6736(24)02317-1
Norman, G. J., Fernandes, J., Nemlekar, P., Andrade, S. B., Lupton, L., & Berk, A. (2025). Initiating continuous glucose monitoring is associated with improvements in glycemic control and reduced health care resource utilization for people with diabetes in a large US-insured population: A real-world evidence study. Journal of managed care & specialty pharmacy, 31(1), 15–24. https://doi.org/10.18553/jmcp.2024.24255
Oudbier, S. J., Souget-Ruff, S. P., Chen, B. S. J., Ziesemer, K. A., Meij, H. J., & Smets, E. M. A. (2024). Implementation barriers and facilitators of remote monitoring, remote consultation and digital care platforms through the eyes of healthcare professionals: a review of reviews. BMJ open, 14(6), e075833. https://doi.org/10.1136/bmjopen-2023-075833
Palandri, F., Bartoletti, D., Giaquinta, S., D'Ambrosio, F., Auteri, G., Sutto, E., Catani, L., Vianelli, N., & Cavo, M. (2021). Telemedicine in patients with haematological diseases during the coronavirus disease 2019 (COVID-19) pandemic: selection criteria and patients' satisfaction. British journal of haematology, 192(2), e48–e51. https://doi.org/10.1111/bjh.17208
Po, H. W., Chu, Y. C., Tsai, H. C., Lin, C. L., Chen, C. Y., & Ma, M. H. (2024). Efficacy of Remote Health Monitoring in Reducing Hospital Readmissions Among High-Risk Postdischarge Patients: Prospective Cohort Study. JMIR formative research, 8, e53455. https://doi.org/10.2196/53455
Quintal, A., Messier, V., Rabasa-Lhoret, R., & Racine, E. (2019). A critical review and analysis of ethical issues associated with the artificial pancreas. Diabetes & metabolism, 45(1), 1–10. https://doi.org/10.1016/j.diabet.2018.04.003
Rabbani, M. G., Alam, A., & Prybutok, V. R. (2025). Digital Health Transformation Through Telemedicine (2020–2025): Barriers, Facilitators, and Clinical Outcomes—A Systematic Review and Meta-Analysis. Encyclopedia, 5(4), 206. https://doi.org/10.3390/encyclopedia5040206
Radovanovic, D., Muggli, F., Bianchetti, M., Gallino, A., Parati, G., Suter, P. M., Schoenenberger-Berzins, R., Erne, P., & Schoenenberger, A. W. (2023). Comparison of office, home and ambulatory blood pressure measurements in hypertensive and suspected hypertensive SWICOS participants. Blood pressure, 32(1), 2234496. https://doi.org/10.1080/08037051.2023.223449
Rahmi, K. H., Fahrudin, A., Supriyadi, T., Herlina, E., Rosilawati, R., & Ningrum, S. R. (2025). Technostress and cognitive fatigue: Reducing digital strain for improved employee well-being: A literature review. Multidisciplinary Reviews, 8(12), 2025380. https://doi.org/10.31893/multirev.2025380
Ranjith, N., Kanna Baskaran, S. N., R, S., Ganesan, A., Kanakaraj, R., S, G., Shafy, S. M., & Nair, A. S. (2025). Current trends in telemedicine for chronic disease management. Bioinformation, 21(4), 587–593. https://doi.org/10.6026/973206300210587
Rodbard D. (2016). Continuous Glucose Monitoring: A Review of Successes, Challenges, and Opportunities. Diabetes technology & therapeutics, 18 Suppl 2(Suppl 2), S3–S13. https://doi.org/10.1089/dia.2015.0417
Ruckenstein, M. (2014). Visualized and Interacted Life: Personal Analytics and Engagements with Data Doubles. Societies, 4(1), 68-84. https://doi.org/10.3390/soc4010068
Rukundo T., B. (2025). Advancements in Telemonitoring for Chronic Disease Management. Research Output Journal of Public Health and Medicine, 5(1), 65–71. https://doi.org/10.59298/ROJPHM/2025/516571
Sánchez Bacaicoa, M., Rico, S., Gullón, A., Fernandez Pardo, J., Villa, J., Nadiejda, E., Robles, R., Del Aguila, J. M., Cunha, P., Vassilenko, V., Rodilla, E., & Sánchez Muñoz-Torrero, J. F. (2025). Automated Office Blood Pressure Measurements in Waiting Room or Isolated Room for Diagnosis and Phenotyping of Hypertension. Journal of the American Heart Association, 14(20), e038011. https://doi.org/10.1161/JAHA.124.038011
Shavelle, D. M., Desai, A. S., Abraham, W. T., Bourge, R. C., Raval, N., Rathman, L. D., Heywood, J. T., Jermyn, R. A., Pelzel, J., Jonsson, O. T., Costanzo, M. R., Henderson, J. D., Brett, M. E., Adamson, P. B., Stevenson, L. W., & CardioMEMS Post-Approval Study Investigators (2020). Lower Rates of Heart Failure and All-Cause Hospitalizations During Pulmonary Artery Pressure-Guided Therapy for Ambulatory Heart Failure: One-Year Outcomes From the CardioMEMS Post-Approval Study. Circulation. Heart failure, 13(8), e006863. https://doi.org/10.1161/CIRCHEARTFAILURE.119.006863
Sieck, C. J., Sheon, A., Ancker, J. S., Castek, J., Callahan, B., & Siefer, A. (2021). Digital inclusion as a social determinant of health. NPJ digital medicine, 4(1), 52. https://doi.org/10.1038/s41746-021-00413-8
Sousa, C., Leite, S., Lagido, R., Ferreira, L., Silva-Cardoso, J., & Maciel, M. J. (2014). Telemonitoring in heart failure: A state-of-the-art review. Revista Portuguesa de Cardiologia, 33(4), 229–239. https://doi.org/10.1016/J.REPC.2013.10.013
Uhl, S., Choure, A., Rouse, B., Loblack, A., & Reaven, P. (2024). Effectiveness of Continuous Glucose Monitoring on Metrics of Glycemic Control in Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis of Randomized Controlled Trials. The Journal of clinical endocrinology and metabolism, 109(4), 1119–1131. https://doi.org/10.1210/clinem/dgad652
van Bon, A. C., Blauw, H., Jansen, T. J. P., Laverman, G. D., Urgert, T., Geessink-Mennink, J., Mulder, A. H., Out, M., Groote Veldman, R., Onvlee, A. J., Schouwenberg, B. J. J. W., Vermeulen, M. A. R., Diekman, M. J. M., Gerding, M. N., van Wijk, J. P. H., Klaassen, M., Witkop, M., & DeVries, J. H. (2024). Bihormonal fully closed-loop system for the treatment of type 1 diabetes: a real-world multicentre, prospective, single-arm trial in the Netherlands. The Lancet. Digital health, 6(4), e272–e280. https://doi.org/10.1016/S2589-7500(24)00002-5
Wolff, J. L., Dukhanin, V., Burgdorf, J. G., & DesRoches, C. M. (2022). Shared Access to Patient Portals for Older Adults: Implications for Privacy and Digital Health Equity. JMIR aging, 5(2), e34628. https://doi.org/10.2196/34628
Wosik, J., Fudim, M., Cameron, B., Gellad, Z. F., Cho, A., Phinney, D., Curtis, S., Roman, M., Poon, E. G., Ferranti, J., Katz, J. N., & Tcheng, J. (2020). Telehealth transformation: COVID-19 and the rise of virtual care. Journal of the American Medical Informatics Association : JAMIA, 27(6), 957–962. https://doi.org/10.1093/jamia/ocaa067
Zabczyk, C., & Blakey, J. D. (2021). The Effect of Connected "Smart" Inhalers on Medication Adherence. Frontiers in medical technology, 3, 657321. https://doi.org/10.3389/fmedt.2021.657321
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Klaudia Kwolek, Marcel Pilarek, Wiktoria Laskowska, Hubert Bigajski, Dominika Sarna, Piotr Widera, Szymon Janczarski, Maciej Michalik, Aleksandra Banaś, Hubert Dacyl

This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles are published in open-access and licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Hence, authors retain copyright to the content of the articles.
CC BY 4.0 License allows content to be copied, adapted, displayed, distributed, re-published or otherwise re-used for any purpose including for adaptation and commercial use provided the content is attributed.

