The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Digital health: a path to validation
Open accessAbstract
Digital health solutions continue to grow in both number and capabilities. Despite these advances, the confidence of the various stakeholders — from patients and clinicians to payers, industry and regulators — in medicine remains quite low. As a result, there is a need for objective, transparent, and standards-based evaluation of digital health products that can bring greater clarity to the digital health marketplace. We believe an approach that is guided by end-user requirements and formal assessment across technical, clinical, usability, and cost domains is one possible solution. For digital health solutions to have greater impact, quality and value must be easier to distinguish. To that end, we review the existing landscape and gaps, highlight the evolving responses and approaches, and detail one pragmatic framework that addresses the current limitations in the marketplace with a path toward implementation.
Overview
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
Figures



Verification
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 cited source doesn’t support the claim as written.
In the citing paper
“evidence-supported apps are slow to be made publicly accessible due to research-to-practice translational lags and complex regulatory systems (Mathews et al. 2019).”
From Evaluating the quality, safety, and functionality of commonly used smartphone apps for bipolar disorder mood and sleep self-management (2022) · cites this paper as Mathews et al. 2019
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
International Organization for Standardization
(2011) · Springer eBooks · doi:10.1007/springerreference_16847 · Cited by 12,504
2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2019
(2018) · Diabetes Care · doi:10.2337/dc19-s002 · Cited by 2,855
Mobile medical and health apps: state of the art, concerns, regulatory control and certification
Kamel Boulos, M. N., Brewer, A. C., Karimkhani, C., Buller, D. B., & Dellavalle, R. P. (2014) · Online Journal of Public Health Informatics · doi:10.5210/ojphi.v5i3.4814 · Cited by 659
Iribarren, S. J., Cato, K., Falzon, L., & Stone, P. W. (2017) · PLOS ONE · doi:10.1371/journal.pone.0170581 · Cited by 519
What It Will Take To Achieve The As-Yet-Unfulfilled Promises Of Health Information Technology
Kellermann, A. L., & Jones, S. S. (2013) · Health Affairs · doi:10.1377/hlthaff.2012.0693 · Cited by 482
Origin and Uses of Primum Non Nocere—Above All, Do No Harm!
Smith, C. M. (2005) · The Journal of Clinical Pharmacology · doi:10.1177/0091270004273680 · Cited by 411
Quinn, C. C., Clough, S. S., Minor, J. M., Lender, D., Okafor, M. C., & Gruber-Baldini, A. (2008) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2008.0283 · Cited by 406
mHealth and Mobile Medical Apps: A Framework to Assess Risk and Promote Safer Use
Lewis, T., & Wyatt, J. C. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3133 · Cited by 281
Boudreaux, E. D., Waring, M. E., Hayes, R. B., Sadasivam, R. S., Mullen, S. P., & Pagoto, S. (2014) · Translational Behavioral Medicine · doi:10.1007/s13142-014-0293-9 · Cited by 281
The GRADE system for rating clinical guidelines
Kavanagh, B. P. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000094 · Cited by 246
Cited by
Sorted by citations
Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective
Li, J.-P. O., Liu, H., Ting, D. S. J., Jeon, S., Chan, R. V. P., Kim, J. E., Sim, D. A., Thomas, P. B. M., Lin, H., Chen, Y., et al. (2021) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2020.100900 · Cited by 626
The Recent Progress and Applications of Digital Technologies in Healthcare: A Review
Senbekov, M., Saliev, T. M., Bukeyeva, Z., Almabayeva, A., Zhanaliyeva, M., Джамбуловна, А. Н., Toishibekov, Y., & Fakhradiyev, I. R. (2020) · International Journal of Telemedicine and Applications · doi:10.1155/2020/8830200 · Cited by 513
Beyond validation: getting health apps into clinical practice
Gordon, W. J., Landman, A., Zhang, H., & Bates, D. W. (2020) · npj Digital Medicine · doi:10.1038/s41746-019-0212-z · Cited by 322
The future of sleep health: a data-driven revolution in sleep science and medicine
Perez-Pozuelo, I., Zhai, B., Palotti, J., Mall, R., Aupetit, M., Garcia-Gomez, J. M., Taheri, S., Guan, Y., & Fernandez-Luque, L. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0244-4 · Cited by 311
Guo, C., Ashrafian, H., Ghafur, S., Fontana, G., Gardner, C., & Prime, M. S. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-00314-2 · Cited by 345
Artificial intelligence in diabetes management: Advancements, opportunities, and challenges
Guan, Z., Li, H., Liu, R., Cai, C., Liu, Y., Li, J., Wang, X., Huang, S., Wu, L., Liu, D., et al. (2023) · Cell Reports Medicine · doi:10.1016/j.xcrm.2023.101213 · Cited by 287
“10 AI is a broad branch of computer science that develops theories, methods, technologies, and application systems to simulate, extend, and expand human intelligence in machines.”
BackgroundValidation of the Mobile Application Rating Scale (MARS)
Terhorst, Y., Philippi, P., Sander, L., Schultchen, D., Paganini, S., Bardus, M., Santo, K., Knitza, J., Machado, G. C., Schöeppe, S., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0241480 · Cited by 291
Marwaha, J. S., Landman, A. B., Brat, G. A., Dunn, T., & Gordon, W. J. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00557-1 · Cited by 241
Nasarian, E., Alizadehsani, R., Acharya, U. R., & Tsui, K.-L. (2024) · Information Fusion · doi:10.1016/j.inffus.2024.102412 · Cited by 207
Mobile Apps for Medication Management: Review and Analysis
Tabi, K., Randhawa, A. S., Choi, F., Mithani, Z., Albers, F., Schnieder, M., Nikoo, M., Vigo, D., Jang, K. L., Demlová, R., et al. (2019) · JMIR mhealth and uhealth · doi:10.2196/13608 · Cited by 178
Utilizing Digital Health Technologies for Patient Education in Lifestyle Medicine
Kuwabara, A. M., Su, S., & Krauss, J. (2019) · American Journal of Lifestyle Medicine · doi:10.1177/1559827619892547 · Cited by 169
Chenais, G., Lagarde, E., & Gil-Jardiné, C. (2023) · Journal of Medical Internet Research · doi:10.2196/40031 · Cited by 142
van Kessel, R., Hrzic, R., O’Nuallain, E., Weir, E. M., Wong, B. L. H., Anderson, M., Baron‐Cohen, S., & Mossialos, E. A. (2021) · Journal of Medical Internet Research · doi:10.2196/33819 · Cited by 169
Addressing the challenges of AI-based telemedicine: Best practices and lessons learned
Sharma, S., Rawal, R., & Shah, D. J. (2023) · Journal of Education and Health Promotion · doi:10.4103/jehp.jehp_402_23 · Cited by 133
Duffy, A., Christie, G. J., & Moreno, S. (2022) · JMIR Human Factors · doi:10.2196/35693 · Cited by 114
Schultebraucks, K., Yadav, V., Shalev, A. Y., Bonanno, G. A., & Galatzer-Levy, I. R. (2022) · Psychological Medicine · doi:10.1017/s0033291720002718 · Cited by 108
Machine learning for sperm selection
You, J. B., McCallum, C., Wang, Y., Riordon, J., Nosrati, R., & Sinton, D. A. (2021) · Nature Reviews Urology · doi:10.1038/s41585-021-00465-1 · Cited by 104
Federated Semi-Supervised Learning for Medical Image Segmentation via Pseudo-Label Denoising
Qiu, L., Cheng, J., Gao, H., Xiong, W., & Ren, H. (2023) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2023.3274498 · Cited by 98
Oculomics: Current concepts and evidence
Zhu, Z., Wang, Y., Qi, Z., Hu, W., Zhang, X., Wagner, S. K., Wang, Y., Ran, A. R., Ong, J., Waisberg, E., et al. (2025) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2025.101350 · Cited by 97
Karamagi, H. C., Muneene, D., Droti, B., Jepchumba, V., Okeibunor, J., Nabyonga‐Orem, J., Asamani, J. A., Traoré, M., & Kipruto, H. (2022) · Journal of Global Health · doi:10.7189/jogh.12.04090 · Cited by 89
Five Crucial Challenges in Digital Health
Cummins, N., & Schuller, B. W. (2020) · Frontiers in Digital Health · doi:10.3389/fdgth.2020.536203 · Cited by 84
World Heart Federation Roadmap for Digital Health in Cardiology
Tromp, J., Jindal, D., Redfern, J., Bhatt, A. B., Séverin, T., Banerjee, A., Ge, J., Itchhaporia, D., Jaarsma, T., Lanas, F. T., et al. (2022) · Global Heart · doi:10.5334/gh.1141 · Cited by 88
A Review of the Design and Implementation of a Hybrid Cardiac Rehabilitation Program
Keteyian, S. J., Ades, P. A., Beatty, A. L., Gavic-Ott, A., Hines, S., Lui, K., Schopfer, D. W., Thomas, R. J., & Sperling, L. S. (2021) · Journal of Cardiopulmonary Rehabilitation and Prevention · doi:10.1097/hcr.0000000000000634 · Cited by 84
Mitchell, L. M., Joshi, U., Patel, V., Lu, C., & Naslund, J. A. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.01.092 · Cited by 80
The psychological mechanism of internet information processing for post-treatment evaluation
Vuong, Q., Le, T.-T., La, V., & Nguyen, M. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e09351 · Cited by 76
Hensher, M., Cooper, P., Dona, S. W. A., Angeles, M. R., Nguyen, D., Heynsbergh, N., Chatterton, M. L., & Peeters, A. (2021) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocab041 · Cited by 80
mHealth spectroscopy of blood hemoglobin with spectral super-resolution
Park, S. M., Visbal-Onufrak, M. A., Haque, M. M., Were, M. C., Yebei, V. N., Hasan, M. K., & Kim, Y. L. (2020) · Optica · doi:10.1364/optica.390409 · Cited by 73
Impact of mobile health and medical applications on clinical practice in gastroenterology
Kernebeck, S., Busse, T. S., Böttcher, M. D., Weitz, J., Ehlers, J. P., & Bork, U. (2020) · World Journal of Gastroenterology · doi:10.3748/wjg.v26.i29.4182 · Cited by 70
Smartphone‐Based Applications to Detect Hearing Loss: A Review of Current Technology
Irace, A. L., Sharma, R. K., Reed, N. S., & Golub, J. S. (2020) · Journal of the American Geriatrics Society · doi:10.1111/jgs.16985 · Cited by 74
Hameed, K., Naha, R. K., & Hameed, F. (2024) · Discover Sustainability · doi:10.1007/s43621-024-00273-8 · Cited by 106
Direct-to-consumer digital health
Cohen, A. B., Mathews, S. C., Dorsey, E. R., Bates, D. W., & Safavi, K. C. (2020) · The Lancet Digital Health · doi:10.1016/s2589-7500(20)30057-1 · Cited by 70
Self-citationYang, H. (2025) · Pharmaceutics · doi:10.3390/pharmaceutics17081041 · Cited by 78
Digitalisierung im Gesundheitswesen und ihre Effekte auf die Qualität der Gesundheitsversorgung
Brönneke, J. B., & Debatin, J. F. (2022) · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · doi:10.1007/s00103-022-03493-3 · Cited by 66
Gilbert, S., Anderson, S., Daumer, M., Li, P., Melvin, T., & Williams, R. (2023) · Journal of Medical Internet Research · doi:10.2196/43682 · Cited by 66
Keogh, A., Argent, R., Anderson, A., Caulfield, B., & Johnston, W. (2021) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-021-00931-2 · Cited by 64
Telehealth, Telemedicine, and Related Technologic Platforms
Mahoney, M. F. (2020) · Journal of Wound Ostomy and Continence Nursing · doi:10.1097/won.0000000000000694 · Cited by 68
Teepe, G. W., Fonseca, A. D., Kleim, B., Jacobson, N. C., Salamanca-Sanabria, A., Car, L. T., Fleisch, E., & Kowatsch, T. (2021) · Journal of Medical Internet Research · doi:10.2196/29412 · Cited by 65
Kanzler, C. M., Rinderknecht, M. D., Schwarz, A., Lamers, I., Gagnon, C., Held, J. P. O., Feys, P., Luft, A. R., Gassert, R., & Lambercy, O. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0286-7 · Cited by 56
Assessing the Clinical Robustness of Digital Health Startups: Cross-sectional Observational Analysis
Day, S., Shah, V., Kaganoff, S., Powelson, S., & Mathews, S. C. (2022) · Journal of Medical Internet Research · doi:10.2196/37677 · Cited by 57
Self-citationParadis, S., Roussel, J., Bosson, J., & Kern, J. (2022) · JMIR Formative Research · doi:10.2196/34882 · Cited by 54
Digital Contact Tracing for Pandemic Response
Kahn, J. P. (2020) · Johns Hopkins University Press eBooks · doi:10.1353/book.75831 · Cited by 56
Virtual care models for cancer survivorship
Phạm, Q., Hearn, J., Gao, B. M., Brown, I., Hamilton, R. J., Berlín, A., Cafazzo, J. A., & Feifer, A. H. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-00321-3 · Cited by 58
Quantifying digital health inequality across a national healthcare system
Zhang, J., Gallifant, J., Pierce, R. L., Fordham, A., Teo, J., Celi, L., & Ashrafian, H. (2023) · BMJ Health & Care Informatics · doi:10.1136/bmjhci-2023-100809 · Cited by 52
Pang, T. Y., Lee, T.-K., & Murshed, M. (2023) · Applied Sciences · doi:10.3390/app13116854 · Cited by 63
Rodrigues, D. A., Fiol-deRoque, M. A., Mateos-Campos, R., Figueiras, A., Herdeiro, M. T., & Roque, F. (2024) · Digital Health · doi:10.1177/20552076231225133 · Cited by 62
Evaluating Digital Health Services Quality via Social Media
Liu, Y., Wang, X., Chen, Z., Zhang, Y., Zhao, S., Devici, M., Jin, L., & Skibniewski, M. J. (2023) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2023.3298906 · Cited by 49
Digital health in the era of personalized healthcare
Cancela, J., Charlafti, I., Colloud, S., & Wu, C. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-820077-3.00002-x · Cited by 46
Graham, S. A., Stein, N., Shemaj, F., Branch, O. H., Paruthi, J., & Kanick, S. C. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.642818 · Cited by 52
Jacob, C., Lindeque, J. P., Klein, A., Ivory, C. J., Heuss, S., & Peter, M. K. (2023) · JMIR Human Factors · doi:10.2196/45143 · Cited by 43
Leprosy Screening Based on Artificial Intelligence: Development of a Cross-Platform App
de Souza, M. L. M., Lopes, G. A., Branco, A. C., Fairley, J. K., & Fraga, L. A. D. O. (2021) · JMIR mhealth and uhealth · doi:10.2196/23718 · Cited by 47
Promises and Perils of Consumer Mobile Technologies in Cardiovascular Care
Varma, N., Han, J. K., PASSMAN, R. S., Rosman, L., Ghanbari, H., Noseworthy, P. A., Silva, J. N. A., Deshmukh, A. J., Sanders, P., Hindricks, G., et al. (2024) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2023.11.024 · Cited by 52
Tarricone, R., Petracca, F., Cucciniello, M., & Ciani, O. (2022) · Health Economics · doi:10.1002/hec.4505 · Cited by 49
Goeldner, M., & Gehder, S. (2024) · Journal of Medical Internet Research · doi:10.2196/59013 · Cited by 45
Development of an evidence- and consensus-based Digital Healthcare Equity Framework
Hatef, E., Scholle, S. H., Buckley, B. O., Weiner, J. P., & Austin, J. M. (2024) · JAMIA Open · doi:10.1093/jamiaopen/ooae136 · Cited by 45
Almuqrin, A., Hammoud, R., Terbagou, I., Tognin, S., & Mechelli, A. (2025) · BMJ Open · doi:10.1136/bmjopen-2024-093932 · Cited by 52
Mobile Health App Database - A Repository for Quality Ratings of mHealth Apps
Stach, M., Kraft, R., Probst, T., Meßner, E.-M., Terhorst, Y., Baumeister, H., Schickler, M., Reichert, M., Sander, L., & Pryss, R. C. (2020) · Proceedings - IEEE Symposium on Computer-Based Medical Systems · doi:10.1109/cbms49503.2020.00087 · Cited by 45
Clinical Validation of Digital Healthcare Solutions: State of the Art, Challenges and Opportunities
Gomis‐Pastor, M., Berdún, J., Borràs-Santos, A., López, A. D. D., Rama, B. F.-M., García-Esquirol, Ó., Gratacòs, M., Ontiveros, G., Cruz, R. P., Real, J., et al. (2024) · Healthcare · doi:10.3390/healthcare12111057 · Cited by 48
Arshad, M. T., Ali, M. K. M., Maqsood, S., Ikram, A., Ahmed, F., Aljameel, A. I., AL-Farga, A. M., & Hossain, M. S. (2025) · Food Science & Nutrition · doi:10.1002/fsn3.71006 · Cited by 52
Rapid response to crisis: Health system lessons from the active period of COVID-19
Salvador‐Carulla, L., Rosenberg, S. P., Mendoza, J. A., & Tabatabaei‐Jafari, H. (2020) · Health Policy and Technology · doi:10.1016/j.hlpt.2020.08.011 · Cited by 45
Olaye, I. M., & Seixas, A. A. (2023) · Journal of Medical Internet Research · doi:10.2196/32962 · Cited by 42
Dramburg, S., Fernández, M. M., Potapova, E., & Matricardi, P. M. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.02116 · Cited by 40
Eis, S., Solà-Morales, O., Duarte‐Díaz, A., Vidal‐Alaball, J., Perestelo‐Pérez, L., Robles, N., & Carrión, C. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19042186 · Cited by 43
Vignali, V., Hines, P. A., Cruz, A. G., Ziętek, B., & Herold, R. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.1064003 · Cited by 43
Effect of a Mobile App on Prehospital Medication Errors During Simulated Pediatric Resuscitation
Siebert, J. N., Bloudeau, L., Combescure, C., Haddad, K., Hugon, F., Suppan, L., Rodieux, F., Lovis, C., Gervaix, A., Ehrler, F., et al. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.23007 · Cited by 41
A Comprehensive Picture of Factors Affecting User Willingness to Use Mobile Health Applications
Fan, S., Jain, R. C., & Kankanhalli, M. S. (2024) · ACM Transactions on Computing for Healthcare · doi:10.1145/3626962 · Cited by 40
Role of digital health in pulmonary rehabilitation and beyond: shaping the future
Pimenta, S., Hansen, H., Demeyer, H., Slevin, P., & Cruz, J. (2022) · ERJ Open Research · doi:10.1183/23120541.00212-2022 · Cited by 40
Current status and future direction of digital health in Korea
Shin, S.-Y. (2019) · Korean Journal of Physiology and Pharmacology · doi:10.4196/kjpp.2019.23.5.311 · Cited by 43
Egermark, M., Blasiak, A., Remus, A., Sapanel, Y., & Ho, D. (2022) · Advanced Intelligent Systems · doi:10.1002/aisy.202200056 · Cited by 38
Desideri, L. F., Roth, J., Zinkernagel, M. S., & Anguita, R. (2023) · International Journal of Retina and Vitreous · doi:10.1186/s40942-023-00511-7 · Cited by 38
Kelley, L., Fujioka, J. K., Liang, K., Cooper, M., Jamieson, T., & Desveaux, L. (2020) · JMIR Public Health and Surveillance · doi:10.2196/20579 · Cited by 42
Yeung, K. (2021) · Journal of Medical Internet Research · doi:10.2196/24109 · Cited by 42
Smartphone App in Stroke Management: A Narrative Updated Review
Bonura, A., Motolese, F., Capone, F., Iaccarino, G., Alessiani, M., Ferrante, M., Calandrelli, R., Lazzaro, V. D., & Pilato, F. (2022) · Journal of Stroke · doi:10.5853/jos.2022.01410 · Cited by 41
Using apps for bipolar disorder – An online survey of healthcare provider perspectives and practices
Morton, E., Torous, J., Murray, G., & Michalak, E. E. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.02.047 · Cited by 36
Rigorous and rapid evidence assessment in digital health with the evidence DEFINED framework
Silberman, J., Wicks, P. J., Patel, S., Sarlati, S., Park, S., Korolev, I. O., Carl, J. R., Owusu, J. T., Mishra, V. K., Kaur, M., et al. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00836-5 · Cited by 36
Mobile app validation: a digital health scorecard approach
Sedhom, R., McShea, M. J., Cohen, A. B., Webster, J. A., & Mathews, S. C. (2021) · npj Digital Medicine · doi:10.1038/s41746-021-00476-7 · Cited by 36
Self-citationDigital health interventions for osteoporosis and post-fragility fracture care
Gupta, A., Maslen, C., Vindlacheruvu, M., Abel, R. L., Bhattacharya, P., Bromiley, P. A., Clark, E., Compston, J. E., Crabtree, N. J., Gregory, J. S., et al. (2022) · Therapeutic Advances in Musculoskeletal Disease · doi:10.1177/1759720x221083523 · Cited by 41
Segur-Ferrer, J., Moltó-Puigmartí, C., Pastells‐Peiró, R., & Vivanco‐Hidalgo, R. M. (2024) · Journal of Medical Internet Research · doi:10.2196/48694 · Cited by 33
Digital phenotyping and sensitive health data: Implications for data governance
Perez-Pozuelo, I., Spathis, D., Gifford-Moore, J., Morley, J., & Cowls, J. (2021) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocab012 · Cited by 34
Zou, C., Harvard, A., Qian, J., & Fox, B. I. (2023) · DIGITAL HEALTH · doi:10.1177/20552076231191050 · Cited by 34
Human Rights and Digital Health Technologies.
Sun, N., Esom, K., Dhaliwal, M., & Amon, J. J. (2020) · Europe PMC (PubMed Central) · Cited by 34
The digital transformation of hepatology: The patient is logged in
Wu, T. E., Simonetto, D. A., Halamka, J. D., & Shah, V. H. (2022) · Hepatology · doi:10.1002/hep.32329 · Cited by 33
Haig, M., Main, C., Chávez, D., & Kanavos, P. G. (2023) · Value in Health · doi:10.1016/j.jval.2023.06.008 · Cited by 32
Lukka, L., & Palva, J. M. (2023) · JMIR Serious Games · doi:10.2196/42173 · Cited by 37
Voorheis, P., Petch, J., Phạm, Q., & Kuluski, K. (2023) · PLOS Digital Health · doi:10.1371/journal.pdig.0000213 · Cited by 41
Giurgiu, M., von Haaren‐Mack, B., Fiedler, J., Woll, S., Burchartz, A., Kolb, S., Ketelhut, S., Kubica, C., Nigg, C., Timm, I., et al. (2024) · Journal of sport and health science/Journal of Sport and Health Science · doi:10.1016/j.jshs.2024.101006 · Cited by 39
van der Walt, A., Butzkueven, H., Shin, R. K., Midaglia, L. S., Capezzuto, L., Lindemann, M., Davies, G., Butler, L. M., Costantino, C., & Montalbán, X. (2021) · Brain Sciences · doi:10.3390/brainsci11091247 · Cited by 34
Kukhareva, P., Weir, C. R., Fiol, G. D., Aarons, G. A., Taft, T., Schlechter, C. R., Reese, T. J., Curran, R. L., Nanjo, C. J., Borbolla, D. A., et al. (2022) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2022.104014 · Cited by 42
Baines, R., Hoogendoorn, P., Stevens, S., Chatterjee, A., Ashall-Payne, L., Andrews, T., & Leigh, S. (2022) · Therapeutic Innovation & Regulatory Science · doi:10.1007/s43441-022-00463-4 · Cited by 31
Digital nursing practice theory: A scoping review and thematic analysis
Wynn, M. O., Garwood‐Cross, L., Vasilica, C. M., & Davis, D. (2023) · Journal of Advanced Nursing · doi:10.1111/jan.15660 · Cited by 31
Hurvitz, N., & Ilan, Y. (2023) · Clinics and Practice · doi:10.3390/clinpract13040089 · Cited by 35
Tandon, A. A., Cobb, B., Centra, J., Izmailova, E. S., Manyakov, N. V., McClenahan, S. J., Patel, S., Sezgın, E., Vairavan, S., Vrijens, B., et al. (2024) · Journal of Medical Internet Research · doi:10.2196/57628 · Cited by 34
Mobile apps for dementia awareness, support, and prevention – review and evaluation
Chelberg, G., Neuhaus, M., Mothershaw, A., Mahoney, R., & Caffery, L. J. (2021) · Disability and Rehabilitation · doi:10.1080/09638288.2021.1914755 · Cited by 31
Understanding public procurement within the health sector: a priority in a post-COVID-19 world
García‐Altés, A., McKee, M., Siciliani, L., Barros, P. P., Lehtonen, L., Rogers, H. L., Kringos, D. S., Zaletel, J., & Maeseneer, J. D. (2022) · Health Economics Policy and Law · doi:10.1017/s1744133122000184 · Cited by 31
Artificial Intelligence in Telemedicine
Fernandes, J. G. (2022) · Springer eBooks · doi:10.1007/978-3-030-64573-1_93 · Cited by 37
Lantzsch, H., Пантели, Д., Martino, F., Stephani, V., Seißler, D., Püschel, C., Knöppler, K., & Busse, R. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.832870 · Cited by 30
Lehoux, P., Rivard, L., de Oliveira, R. R., Mörch, C., & Alami, H. (2022) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2022.104933 · Cited by 34
Zhaunova, L., Bamford, R., Radović, T., Wickham, A. P., Peven, K., Croft, J., Klepchukova, A., & Ponzo, S. (2023) · JMIR mhealth and uhealth · doi:10.2196/40427 · Cited by 39
Hoogendoorn, P., Versluis, A., van Kampen, S. C., McCay, C., Leahy, M., Bijlsma, M., Bonacina, S., Bonten, T. N., Bonthuis, M.-J., Butterlin, A., et al. (2022) · JMIR Formative Research · doi:10.2196/43905 · Cited by 29
Canfell, O. J., Littlewood, R., Burton‐Jones, A., & Sullivan, C. M. (2021) · Australian Health Review · doi:10.1071/ah21063 · Cited by 29
Digitalization in Medicine: Are German Medical Students Well Prepared for the Future?
Sorg, H., Ehlers, J. P., & Sorg, C. G. G. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19148308 · Cited by 31
Metadata
- Authors
- Mathews, S. C., McShea, M. J., Hanley, C. L., Ravitz, A., Labrique, A. B., & Cohen, A. B.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Mathews, Simon C.
- Venue
- npj Digital Medicine
- Published
- 2019-05-13
- Volume
- 2
- Issue
- 1
- Pages
- 38-38
- ISSN
- 2398-6352 (ISSN-L)
- PMC
- PMC6550273
- OpenAlex
- W2946661638
- Cited by
- 508
- References
- 24
- Citations by year
- 2026: 52 · 2025: 81 · 2024: 107 · 2023: 85 · 2022: 73 · 2021: 60 · 2020: 44 · 2019: 6
- FWCI
- 8.41
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- npj Digital Medicine (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- digital health, validation framework, end-user needs, clinical evaluation, usability, cost evaluation, standards-based evaluation, stakeholder confidence
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