The HIPAA Conundrum in the Era of Mobile Health and Communications
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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 most popular DNN architecture used for EHR data analysis is RNN.
“Even though, various DL architectures have been used, the most popular DNN architecture used for EHR data analysis is RNN [52], [53].”
From Secondary Use of Electronic Health Record: Opportunities and Challenges (2020) · cites this paper as [53]
Cited by
Sorted by citations
Security and privacy of electronic health records: Concerns and challenges
Keshta, I., & Odeh, A. (2021) · Egyptian Informatics Journal · doi:10.1016/j.eij.2020.07.003 · Cited by 498 · see citing works
Security Techniques for the Electronic Health Records
Kruse, C. S., Smith, B., Vanderlinden, H., & Nealand, A. (2017) · Journal of Medical Systems · doi:10.1007/s10916-017-0778-4 · Cited by 275 · see citing works
“The exchange process of health information has a set specification provided by the meaningful use criteria, which requires the exchange process to be recorded by the organizations when the encryptions are being enabled or inhibited [14, 23].”
BackgroundSecondary Use of Electronic Health Record: Opportunities and Challenges
Shah, S. M., & Khan, R. A. (2020) · IEEE Access · doi:10.1109/access.2020.3011099 · Cited by 158 · see citing works
“) who after the implementation of these rules, get punishments in case of any privacy breach [161].”
BackgroundSocial Media Methods for Studying Rare Diseases
Schumacher, K. R., Stringer, K. A., Donohue, J. E., Yu, S., Shaver, A., Caruthers, R. L., Zikmund‐Fisher, B. J., Fifer, C. G., Goldberg, C. S., & Russell, M. W. W. (2014) · PEDIATRICS · doi:10.1542/peds.2013-2966 · Cited by 117 · see citing works
Using Electronic Monitoring Devices to Measure Inhaler Adherence: A Practical Guide for Clinicians
Chan, A. H. Y., Harrison, J., Black, P., Mitchell, E. A., & Foster, J. M. (2015) · The Journal of Allergy and Clinical Immunology In Practice · doi:10.1016/j.jaip.2015.01.024 · Cited by 110 · see citing works
Federal Efforts to Define and Advance Telehealth—A Work in Progress
Doarn, C. R., Pruitt, S., Jacobs, J. H., Harris, Y., Bott, D. M., Riley, W. T., Lamer, C. C., & Oliver, A. L. (2014) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2013.0336 · Cited by 81 · see citing works
Privacy and Security Concerns in Telehealth
Hale, T. M., & Kvedar, J. C. (2014) · The AMA Journal of Ethic · doi:10.1001/virtualmentor.2014.16.12.jdsc1-1412 · Cited by 69 · see citing works
Perspectives of online surveys in dermatology
Arafa, A., Anzengruber, F., Mostafa, A., & Navarini, A. A. (2018) · Journal of the European Academy of Dermatology and Venereology · doi:10.1111/jdv.15283 · Cited by 59 · see citing works
McInnes, D. K., Sawh, L., Petrakis, B. A., et al. (2014) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2013.0329 · Cited by 60 · see citing works
“24,25 It is important to note that, as described in our results, 45% of respondents had changed their mobile phone number during the previous 12 months.”
Personal health records, global policy and regulation review
Flaumenhaft, Y., & Ben‐Assuli, O. (2018) · Health Policy · doi:10.1016/j.healthpol.2018.05.002 · Cited by 54 · see citing works
WITHDRAWN: Compliance with HIPAA and GDPR in blockchain-based electronic health record
Shuaib, M., Alam, S., Alam, M. S., & Nasir, M. S. (2021) · Materials Today Proceedings · doi:10.1016/j.matpr.2021.03.059 · Cited by 53 · see citing works
RetractedYARAGHI, N., & GOPAL, R. D. (2018) · The Milbank Quarterly · doi:10.1111/1468-0009.12314 · Cited by 43 · see citing works
Reis, S. P., Visser, A. P., & Frankel, R. M. (2013) · Patient Education and Counseling · doi:10.1016/j.pec.2013.10.007 · Cited by 35 · see citing works
Access to digital health technologies: personalized framework and global perspectives
Narayan, S. M., Chung, M. K., Adedinsewo, D. A., Brant, L. C. C., Davis, L. L., Duncker, D., Hall, J. L., Han, J. K., Lam, C. S. P., Lewis, E. F., et al. (2025) · Nature Reviews Cardiology · doi:10.1038/s41569-025-01184-5 · Cited by 41 · see citing works
“The European Union (EU) ensures strict data privacy via omnibus laws, such as the General Data Protection Regulation (GDPR), that protect data more broadly 71 than the Health Insurance Portability and Accountability Act (HIPAA) in the USA 72 .”
Confidentiality in the digital age
Crotty, B. H., & Mostaghimi, A. (2014) · BMJ · doi:10.1136/bmj.g2943 · Cited by 23 · see citing works
On the Privacy, Security and Safety of Blood Pressure and Diabetes Apps
Knorr, K., Aspinall, D., & Wolters, M. K. (2015) · IFIP advances in information and communication technology · doi:10.1007/978-3-319-18467-8_38 · Cited by 23 · see citing works
“…in particular those that do not directly receive data from a validated blood pressure or blood glucose meter, fall into a grey area that is not adequately covered by current standards [11, 17], and finding a good balance between encouraging innovation and ensuring privacy is challenging [22].”
The Opportunities for Telehealth in Pediatric Practice and Public Health
Wang, C.-H. J., Ma, J., ZUCKERMAN, B. S., & Car, J. (2020) · Pediatric Clinics of North America · doi:10.1016/j.pcl.2020.03.001 · Cited by 24 · see citing works
Self-citationSecure Architecture for Inter-Healthcare Electronic Health Records Exchange
Ajayi, O., Abouali, M., & Saadawi, T. (2020) · IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) · doi:10.1109/iemtronics51293.2020.9216336 · Cited by 21 · see citing works
“The authors in [8] put forward encryption to ensure the security of EHRs during the exchange process.”
BackgroundSecured Inter-Healthcare Patient Health Records Exchange Architecture
Ajayi, O., Abouali, M., & Saadawi, T. (2020) · IEEE International Conference on Blockchain (Blockchain) · doi:10.1109/blockchain50366.2020.00066 · Cited by 20 · see citing works
“The authors in [8] put forward encryption to ensure the security of EHRs during the exchange process.”
BackgroundSmartphone adapters for flexible Nasolaryngoscopy: A systematic review
Quimby, A. E., Kohlert, S., Caulley, L., et al. (2018) · Journal of Otolaryngology - Head and Neck Surgery · doi:10.1186/s40463-018-0279-6 · Cited by 18 · see citing works
Can Patient Use of Daily Activity Monitors Change Nurse Practitioner Practice?
Mancuso, P. J., Thompson, M. E., Tietze, M. F., et al. (2014) · The Journal for Nurse Practitioners · doi:10.1016/j.nurpra.2014.09.002 · Cited by 16 · see citing works
Obstacles to Implementation of Information Security Governance
Lidster, W. W., & Rahman, S. S. M. (2018) · doi:10.1109/trustcom/bigdatase.2018.00276 · Cited by 12 · see citing works
“Literature is rich with identification of the problems with current information security governance capabilities and provides multiple suggested approaches to effectively improve information security governance in such a dynamic technology and regulatory environment [26][10].”
BackgroundBig Data Analytics and Data Mining for Healthcare Informatics (HCI)
Varshney, M., Bhushan, B., & Haque, A. B. (2022) · Studies in big data · doi:10.1007/978-981-19-0924-5_11 · Cited by 11 · see citing works
PretermConnect: Leveraging mobile technology to mitigate social disadvantage in the NICU and beyond
Jani, S. G., Nguyen, A. D., Abraham, Z., Scala, M. L., Blumenfeld, Y. J., Morton, J., Nguyen, M. M., Ma, J., Hsing, J. C., Moiwa-Grant, M., et al. (2021) · Seminars in Perinatology · doi:10.1016/j.semperi.2021.151413 · Cited by 10 · see citing works
Self-citation(2015) · Obstetrics and Gynecology · doi:10.1097/01.aog.0000459867.14114.7a · Cited by 9 · see citing works
Hendricks‐Sturrup, R., & Lu, C. Y. (2023) · Journal of Medical Internet Research · doi:10.2196/41937 · Cited by 6 · see citing works
“The literature is robust with commentaries and discussions on ethical, legal, and social considerations for consumer health data [7-17].”
Adaptive interventions for opioid prescription management and consumption monitoring
Singh, N., & Varshney, U. (2022) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocac253 · Cited by 7 · see citing works
Consumer-Mediated Data Exchange for Research: Current State of US Law, Technology, and Trust
Bracha, Y., Bagwell, J., Furberg, R., & Wald, J. S. (2019) · JMIR Medical Informatics · doi:10.2196/12348 · Cited by 7 · see citing works
“Spokespersons from the Center for Democracy and Technology and others argue that HIPAA contains built-in limitations because of its original intent and that extensions of HIPAA to cover personal health record apps will be inadequate [91,96-99].”
Hendricks‐Sturrup, R., Zhang, F., & Lu, C. Y. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12111922 · Cited by 7 · see citing works
Blockchain Architecture for Secured Inter-healthcare Electronic Health Records Exchange
Ajayi, O., Abouali, M., & Saadawi, T. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-57796-4_16 · Cited by 5 · see citing works
Bishop, A. J., Sheng, W., Carlson, B. W., & Firdausya, N. (2023) · Springer eBooks · doi:10.1007/978-3-031-20970-3_6 · Cited by 2 · see citing works
Patient Safety and Health Information Technology
Borycki, E. M., & Kushniruk, A. W. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-805250-1.00004-6 · Cited by 2 · see citing works
A REVIEW OF INFORMATION SECURITY POLICIES AND PROCEDURES FOR HEALTHCARE SERVICES.
Kissi, J., Dai, B., Owusu‐Marfo, J., Bediako, I. A., Antwi, M. O., & Akey, B. C. A. (2018) · Canadian Journal of Applied Science and Technology - Canadian Journal of Applied Science and Technology · Cited by 2 · see citing works
Patient Generated Health Data: Framework for Decision Making
Singh, N., Varshney, U., & Sarkar, S. (2022) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2022.498 · Cited by 2 · see citing works
Murray, C. M. (2015) · UTC Scholar (University of Tennessee at Chattanooga) · Cited by 1 · see citing works
Implementation of Mobile Health Tools—Reply
Steinhubl, S. R., Muse, E. D., & Topol, E. J. (2014) · JAMA · doi:10.1001/jama.2014.1112
IN THE LITERATURE Privacy and Security Concerns in Telehealth
Hale, T. M., Kvedar, J. C., & For, M. D. (2014)
Coats, B. (2014) · Maryland Shared Open Access Repository (USMAI Consortium) · doi:10.13016/m2kx4r
The Negative Impact of Ambulatory Acquisitions on the Cost of Business Health Insurance
Koss, E. T. (2020) · Digital Commons (Liberty University)
potential of voice recognition technology in medical record documentation
Alonayzan, H. H. M., Alenezi, . S. S., Alshammari, K. S. F., Albakr, M. S. B., Alshammari, . H. S., Alghadeer, . O. A., Alshammari, . M. M., Almughamis, F. K. S., Alanzi, N. R., Hamran, A. I., et al. (2018) · International Journal of Health Sciences · doi:10.53730/ijhs.v2ns1.14933
(2000) · Time to knit · doi:10.1016/j.ccol.2020.12.007
Lecture 11 Biomedical Data: Privacy, Safety, and Security
Holzinger, A. (2014) · Springer eBooks · doi:10.1007/978-3-319-04528-3_11
- Authors
- Wang, C. J., & Huang, D. J.
- Affiliations
- University of California, San Francisco (US)
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2013-09-18
- Volume
- 310
- Issue
- 11
- Pages
- 1121
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2006213980
- Cited by
- 42
- References
- 0
- Citations by year
- 2025: 1 · 2023: 2 · 2022: 4 · 2021: 2 · 2020: 7 · 2019: 1 · 2018: 7 · 2017: 2 · 2015: 4 · 2014: 11 · 2013: 1
- FWCI
- 15.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (1dp2od008647-01)
- Topics
- Physical Sciences › Computer Science › Information Systems › Thoreau and American Literature
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- HIPAA, mobile health, health information privacy, patient data security, health communication, health data regulation
- MeSH terms
- Confidentiality, Humans, United States, Computer Security, Health Insurance Portability and Accountability Act, Access to Information, Cell Phone, Electronic Health Records, Health Communication, Meaningful Use, Health Information Systems
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