This paper is in the following e-collection/theme issue:

Viewpoints (45) Ethics, Privacy, and Legal Issues (616) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (698) Participatory Medicine & E-Patients (872)

Published on in Vol 10, No 2 (2021): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22269, first published .
Ethical Issues in Patient Data Ownership

Ethical Issues in Patient Data Ownership

Ethical Issues in Patient Data Ownership

Authors of this article:

Varsha Chiruvella1 Author Orcid Image ;   Achuta Kumar Guddati1 Author Orcid Image
Article Authors Cited by (75) Tweetations (7) Metrics

Journals

  1. Meshaka R, Gaunt T, Shelmerdine S. Artificial intelligence applied to fetal MRI: A scoping review of current research. The British Journal of Radiology 2022 View
  2. Belani S, Tiarks G, Mookerjee N, Rajput V. “I Agree to Disagree”: Comparative Ethical and Legal Analysis of Big Data and Genomics for Privacy, Consent, and Ownership. Cureus 2021 View
  3. Rowell C, Sebro R. Who Will Get Paid for Artificial Intelligence in Medicine?. Radiology: Artificial Intelligence 2022;4(5) View
  4. Hasani N, Farhadi F, Morris M, Nikpanah M, Rahmim A, Xu Y, Pariser A, Collins M, Summers R, Jones E, Siegel E, Saboury B. Artificial Intelligence in Medical Imaging and its Impact on the Rare Disease Community: Threats, Challenges and Opportunities. PET Clinics 2022;17(1):13 View
  5. Prakash S, Balaji J, Joshi A, Surapaneni K. Ethical Conundrums in the Application of Artificial Intelligence (AI) in Healthcare—A Scoping Review of Reviews. Journal of Personalized Medicine 2022;12(11):1914 View
  6. Thompson S. Health information technology. Nursing 2022;52(12):40 View
  7. Bernabei J, Li A, Revell A, Smith R, Gunnarsdottir K, Ong I, Davis K, Sinha N, Sarma S, Litt B. Quantitative approaches to guide epilepsy surgery from intracranial EEG. Brain 2023;146(6):2248 View
  8. Gupta N, Kasula V, Sanmugananthan P, Panico N, Dubin A, Sykes D, D'Amico R. SmartWear body sensors for neurological and neurosurgical patients: A review of current and future technologies. World Neurosurgery: X 2024;21:100247 View
  9. Habeeb M, You H, Umapathi M, Ravikumar K, Hariyadi , Mishra S. Strategies of Artificial intelligence tools in the domain of nanomedicine. Journal of Drug Delivery Science and Technology 2024;91:105157 View
  10. Agrawal V, Agrawal S, Bomanwar A, Dubey T, Jaiswal A. Exploring the Risks, Benefits, Advances, and Challenges in Internet Integration in Medicine With the Advent of 5G Technology: A Comprehensive Review. Cureus 2023 View
  11. Abdallah S, Sharifa M, I.KH. ALMADHOUN M, Khawar M, Shaikh U, Balabel K, Saleh I, Manzoor A, Mandal A, Ekomwereren O, Khine W, Oyelaja O. The Impact of Artificial Intelligence on Optimizing Diagnosis and Treatment Plans for Rare Genetic Disorders. Cureus 2023 View
  12. Souter N, Lannelongue L, Samuel G, Racey C, Colling L, Bhagwat N, Selvan R, Rae C. Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging. Imaging Neuroscience 2023;1 View
  13. Aljabali A, Obeid M, El-Tanani M, Mishra V, Mishra Y, Tambuwala M. Precision epidemiology at the nexus of mathematics and nanotechnology: Unraveling the dance of viral dynamics. Gene 2024;905:148174 View
  14. Akçura M, Ozdemir Z, Tarakci H. A Game-Theoretic Analysis of the Adoption of Patient-Generated Health Data. Journal of Theoretical and Applied Electronic Commerce Research 2024;19(1):315 View
  15. Qian Y, Alhaskawi A, Dong Y, Ni J, Abdalbary S, Lu H. Transforming medicine: artificial intelligence integration in the peripheral nervous system. Frontiers in Neurology 2024;15 View
  16. Zhou A, Grant-Kels J. Ethics of patient requests to amend medical records. Journal of the American Academy of Dermatology 2025;92(5):1185 View
  17. Marques L, Costa B, Pereira M, Silva A, Santos J, Saldanha L, Silva I, Magalhães P, Schmidt S, Vale N. Advancing Precision Medicine: A Review of Innovative In Silico Approaches for Drug Development, Clinical Pharmacology and Personalized Healthcare. Pharmaceutics 2024;16(3):332 View
  18. Guan H, Yap P, Bozoki A, Liu M. Federated learning for medical image analysis: A survey. Pattern Recognition 2024;151:110424 View
  19. Lidströmer N, Davids J, ElSharkawy M, Ashrafian H, Herlenius E. Systematic review and meta-analysis for a Global Patient co-Owned Cloud (GPOC). Nature Communications 2024;15(1) View
  20. Zafar F, Fakhare Alam L, Vivas R, Wang J, Whei S, Mehmood S, Sadeghzadegan A, Lakkimsetti M, Nazir Z. The Role of Artificial Intelligence in Identifying Depression and Anxiety: A Comprehensive Literature Review. Cureus 2024 View
  21. Ayalew B, Rodoshi Z, Patel V, Alresheq A, Babu H, Aurangzeb R, Aurangzeb R, Mdivnishvili M, Rehman A, Shehryar A, Hassan A. Nuclear Cardiology in the Era of Precision Medicine: Tailoring Treatment to the Individual Patient. Cureus 2024 View
  22. Borkar S, Chakole S, Prasad R, Bansod S. Revolutionizing Oncology: A Comprehensive Review of Digital Health Applications. Cureus 2024 View
  23. Souza A, Schirru L, Alvarenga M. Mineração de textos e dados na pesquisa em saúde: reflexões sobre direitos autorais. Cadernos de Saúde Pública 2024;40(5) View
  24. Souza A, Schirru L, Alvarenga M. Text and data mining in health research: reflections on copyright. Cadernos de Saúde Pública 2024;40(5) View
  25. Guo L, Reddy K, Van Iseghem T, Pierce W. Enhancing data practices for Whole Health: Strategies for a transformative future. Learning Health Systems 2024;8(S1) View
  26. Adams D, van Karnebeek C, Agulló S, Faùndes V, Jamuar S, Lynch S, Pintos-Morell G, Puri R, Shai R, Steward C, Tumiene B, Verloes A. Addressing diagnostic gaps and priorities of the global rare diseases community: Recommendations from the IRDiRC diagnostics scientific committee. European Journal of Medical Genetics 2024;70:104951 View
  27. Vicente B, Sebastião R, Sencadas V. Wearable Devices for Respiratory Monitoring. Advanced Functional Materials 2024;34(45) View
  28. Vakili-Ojarood M, Naseri A, Shirinzadeh-Dastgiri A, Saberi A, HaghighiKian S, Rahmani A, Farnoush N, Nafissi N, Heiranizadeh N, Antikchi M, Narimani N, Atarod M, Yeganegi M, Neamatzadeh H. Ethical Considerations and Equipoise in Cancer Surgery. Indian Journal of Surgical Oncology 2024;15(S3):363 View
  29. Wang Y, Dai S. Data ownership, privacy concerns, and consumer welfare. Economic and Political Studies 2025;13(2):193 View
  30. de Ruiter H, Breznik M. The Banality of Data: Patient Records, Nursing, and Ideology. Creative Nursing 2024;30(3):245 View
  31. Bopche R, Gustad L, Afset J, Ehrnström B, Damås J, Nytrø Ø. In-hospital mortality, readmission, and prolonged length of stay risk prediction leveraging historical electronic patient records. JAMIA Open 2024;7(3) View
  32. Dziedzic A, Issa J, Chaurasia A, Tanasiewicz M. Artificial intelligence and health-related data: The patient’s best interest and data ownership dilemma. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 2024;238(10):1023 View
  33. Chang M. Artificial Intelligence and Machine Learning in Spine Research: A New Frontier. Bioengineering 2024;11(9):915 View
  34. Benito G, Goldberg X, Brachowicz N, Castaño-Vinyals G, Blay N, Espinosa A, Davidhi F, Torres D, Kogevinas M, de Cid R, Petrone P. Machine learning for anxiety and depression profiling and risk assessment in the aftermath of an emergency. Artificial Intelligence in Medicine 2024;157:102991 View
  35. Bhatia N. Harnessing real-world evidence in pharmacoeconomics: A comprehensive review. Open Health 2024;5(1) View
  36. Kale M, Wankhede N, Bishoyi A, Ballal S, Kalia R, Arya R, Kumar S, Khalid M, Gulati M, Umare M, Taksande B, Upaganlawar A, Umekar M, Kopalli S, Fareed M, Koppula S. Emerging biophysical techniques for probing synaptic transmission in neurodegenerative disorders. Neuroscience 2025;565:63 View
  37. Sulwarajan K, Jaafar Z, Sari N, Hamzah S, Yusop F, Hamid S, Ghani N. A Scoping Review of the Types and Features of Technology Used to Deliver Exercise Prescription and Improve Exercise Adherence. Patient Education and Counseling 2024:108580 View
  38. Guerar M, Migliardi M, Russo E, Khadraoui D, Merlo A. SSI-MedRx: A fraud-resilient healthcare system based on blockchain and SSI. Blockchain: Research and Applications 2025;6(1):100242 View
  39. Limpoco M, Faes C, Hens N. Linear Mixed Modeling of Federated Data When Only the Mean, Covariance, and Sample Size Are Available. Statistics in Medicine 2025;44(1-2) View
  40. Angeles R, Adamczyk K, Marzanek F, Pirrie M, Plishka M, Agarwal G, Armengol de la Hoz M. Development and evaluation of a low-cost database solution for the Community Paramedicine at Clinic (CP@clinic) database. PLOS Digital Health 2024;3(12):e0000689 View
  41. Soldà G, Asselta R. Applying artificial intelligence to uncover the genetic landscape of coagulation factors. Journal of Thrombosis and Haemostasis 2025;23(4):1133 View
  42. Moulaei K, Akhlaghpour S, Fatehi F. Patient consent for the secondary use of health data in artificial intelligence (AI) models: A scoping review. International Journal of Medical Informatics 2025;198:105872 View
  43. Badawy W, Helal M, Hashim A, Zinhom H, Shaban M. Ethical boundaries and data‐sharing practices in AI‐enhanced nursing: An Arab perspective. International Nursing Review 2025;72(1) View
  44. Hudu S, Alshrari A, Abu-Shoura E, Osman A, Jimoh A, Saki M. A Critical Review of the Prospect of Integrating Artificial Intelligence in Infectious Disease Diagnosis and Prognosis. Interdisciplinary Perspectives on Infectious Diseases 2025;2025(1) View
  45. Inshutiyimana S, Ghanem L, Ramadan N, Hammoud D, Wojtara M, Mshaymesh S, Uwishema O. Enhancing patient care: pharmacotherapeutic monitoring in community pharmacies – a literature review. Annals of Medicine & Surgery 2025;87(3):1446 View
  46. Gao B, Duan W. The current status and future directions of artificial intelligence in the prediction, diagnosis, and treatment of liver diseases. DIGITAL HEALTH 2025;11 View
  47. Kirolos E. Smart orthopedic implants: the future of personalized joint replacement and monitoring. Genij Ortopedii 2025;31(3):388 View
  48. Zheng L, Jin D, Yu H, Yu Z, Qian L. Application of AI in the identification of gastrointestinal stromal tumors: a comprehensive analysis based on pathological, radiological, and genetic variation features. Frontiers in Genetics 2025;16 View
  49. Zhang P, Ting H, Chang S. Using Cough Sounds for the Recognition of Multiclass Respiratory Diseases With Artificial Intelligence: A Review. IEEE Access 2025;13:114318 View
  50. Ahmed M, Okesanya O, Oweidat M, Othman Z, Musa S, Lucero-Prisno III D. The ethics of data mining in healthcare: challenges, frameworks, and future directions. BioData Mining 2025;18(1) View
  51. Rony M, Akther D, Peu U, Alam M, Shaleah A, Alam M, Parvin M, Kayesh I, Madhu S, Alrazeeni D, Akter F. Ethical Challenges in Research Involving Hospitalized Patients: A Phenomenological Study. Health Care Analysis 2025 View
  52. Mariyono D, Jalil A, Mustafida F, Muslim M, Mazhabi Z. Navigating ethical boundaries in death and mourning: A hybrid analysis toward a globally replicable framework. New Ideas in Psychology 2025;79:101187 View
  53. Diamantopoulos M, Boti M, Sarri T, Tounias G, Psychogyiou D, Scorilas A. Regulation of biomarker analysis: what can be translated in the clinic?. Expert Review of Molecular Diagnostics 2025;25(10):647 View
  54. Momand Z, Mongkolnam P, Chan J, Charoenkitkarn N, Pal D. Building Digital Twins for Elderly Care: An End-to-End Framework From Data Acquisition to Modeling. IEEE Access 2025;13:169415 View
  55. Ugwu O, Ogenyi F, Alum E, Eze V, Basajja M, Ugwu J, Ugwu C, Ejemot-Nwadiaro R, Okon M, Egba S, Ejim U. Implementing artificial intelligence and machine learning algorithms for optimized crop management: a systematic review on data-driven approach to enhancing resource use and agricultural sustainability. Cogent Food & Agriculture 2025;11(1) View
  56. AbdelRaouf H, Abouyoussef M, Fouda M, Ibrahem M. Empowering AI-Driven Healthcare With Secure, Decentralized, and Privacy-Enhancing Adaptive Intelligence. IEEE Internet of Things Journal 2025;12(22):47223 View

Books/Policy Documents

  1. Tong K. Ageing with Dignity in Hong Kong and Asia. View
  2. Piccin V. Monitoring Positive Pressure Therapy in Sleep-Related Breathing Disorders. View
  3. Mathew J, Inobeme A, Abdullahi A, Bini E, Shaba E, Musah M, Azeh Y, Adetunji C, Ibrahim A, Tanko E, Mamman A. Sustainable Approach to Protective Nanocoatings. View
  4. Aliferis C, Simon G. Artificial Intelligence and Machine Learning in Health Care and Medical Sciences. View
  5. Santhoshkumar , Susithra K. Applying Machine Learning Techniques to Bioinformatics. View
  6. Kanakarajan S, Selvaraj R, Kaleena P. Rare Genetic Disorders. View
  7. Luca M, Ciobanu A, Crăciun V. Advances in Intelligent Healthcare Delivery and Management. View
  8. Mohanty S. Data-Driven Reproductive Health. View
  9. Mahato K. Biosensors for Personalized Healthcare. View
  10. Chen Q, Lai Y, Chen X, Hu Q, Yuille A, Zhou Z. Generative Machine Learning Models in Medical Image Computing. View
  11. Mishra S, Chhetri T, Balakrishnan A, Roy S, Gurung K, Jeba Praba J, Georrge J. Artificial Intelligence in Healthcare Information Systems—Security and Privacy Challenges. View
  12. Reddy K. Innovations in Neurocognitive Rehabilitation. View
  13. Ghosh O, Kumar B, Roy P. Emerging Multisector Applications of AI and IoT. View
  14. Arshed M, Kazi A, Kiran M, Ali S. Innovation and Transformation of Public Health. View
  15. Sonkhla D, Chauhan A. Federated Learning Applications in the Industrial Internet of Everything (IoE). View
  16. Bihri H, Sraidi S, Jamal H, Azzouzi S, Charaf M. Proceedings of Tenth International Congress on Information and Communication Technology. View
  17. Swain K, Nayak S, Swain S. Data-Driven Diagnostics and Disease Prediction with AI Optimization. View
  18. Marthi Krishna Kumar G, Ramesh S, Jeyakumar V. HealthTech Horizons: AI-Infused Metaverse Solutions for Smart Healthcare Systems. View

Conference Proceedings

  1. Albaroudi E, Mansouri T, Alameer A. 2024 Seventh International Women in Data Science Conference at Prince Sultan University (WiDS PSU). The Intersection of Generative AI and Healthcare: Addressing Challenges to Enhance Patient Care View