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Digital Health Reviews (1516) Registered Report (672) Digital Science, Open Science (85) Data Science (305)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41446, first published .
Data Quality in Health Research: Integrative Literature Review

Data Quality in Health Research: Integrative Literature Review

Data Quality in Health Research: Integrative Literature Review

Authors of this article:

Filipe Andrade Bernardi1 Author Orcid Image ;   Domingos Alves1 Author Orcid Image ;   Nathalia Crepaldi1 Author Orcid Image ;   Diego Bettiol Yamada1 Author Orcid Image ;   Vinícius Costa Lima1 Author Orcid Image ;   Rui Rijo1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (27) Tweetations (6) Metrics

Journals

  1. Marco-Ruiz L, Hernández M, Ngo P, Makhlysheva A, Svenning T, Dyb K, Chomutare T, Llatas C, Muñoz-Gama J, Tayefi M. A multinational study on artificial intelligence adoption: Clinical implementers' perspectives. International Journal of Medical Informatics 2024;184:105377 View
  2. Zhang R, Ge Y, Xia L, Cheng Y. Bibliometric Analysis of Development Trends and Research Hotspots in the Study of Data Mining in Nursing Based on CiteSpace. Journal of Multidisciplinary Healthcare 2024;Volume 17:1561 View
  3. Bignami E, Panizzi M, Allai S, Bellini V. PROBAST Assessment of Machine Learning: Comment. Anesthesiology 2024;141(3):615 View
  4. Crouzet A, Lopez N, Riss Yaw B, Lepelletier Y, Demange L. The Millennia-Long Development of Drugs Associated with the 80-Year-Old Artificial Intelligence Story: The Therapeutic Big Bang?. Molecules 2024;29(12):2716 View
  5. de Andrade Mioto A, Andrade Martins P, Modina G, Alves D, Lima V, Neiva M, Bernardi F. Quality analysis and study of tuberculosis diagnostic data. Procedia Computer Science 2024;239:939 View
  6. Theodorakis N, Feretzakis G, Tzelves L, Paxinou E, Hitas C, Vamvakou G, Verykios V, Nikolaou M. Integrating Machine Learning with Multi-Omics Technologies in Geroscience: Towards Personalized Medicine. Journal of Personalized Medicine 2024;14(9):931 View
  7. Shin J, Kim J. Customized Quality Assessment of Healthcare Data. Annals of Laboratory Medicine 2024;44(6):472 View
  8. Brown Q, Chabilall J, Cengiz N, Moodley K, Armengol de la Hoz M. Trust as moral currency: Perspectives of health researchers in sub-Saharan Africa on strategies to promote equitable data sharing. PLOS Digital Health 2024;3(9):e0000551 View
  9. Uhl L, Augusto V, Dalmas B, Alexandre Y, Bercelli P, Jardinaud F, Aloui S. Evaluating the Bias in Hospital Data: Automatic Preprocessing of Patient Pathways Algorithm Development and Validation Study. JMIR Medical Informatics 2024;12:e58978 View
  10. Sood I, Sabherwal S, Mathur U, Jain E, Bhadauria M, Agrawal D, Khurana A, Mittal V, Mahindrakar A, Govindahari V, Kulkarni S, Nischal K. Harnessing Generalizable Real-World Ophthalmic Big Data: Descriptive Analysis of the Bodhya Eye Consortium Model for Collaborative Research. Online Journal of Public Health Informatics 2024;16:e53370 View
  11. Bukke S, Komarla Kumarachari R, Komarla Rajasekhar E, Dudekula J, Kamati M. Computational intelligence techniques for achieving sustainable development goals in female cancer care. Discover Sustainability 2024;5(1) View
  12. Bhatia N. Harnessing real-world evidence in pharmacoeconomics: A comprehensive review. Open Health 2024;5(1) View
  13. Wang B, Shi X, Han X, Xiao G. The digital transformation of nursing practice: an analysis of advanced IoT technologies and smart nursing systems. Frontiers in Medicine 2024;11 View
  14. Karamousouli E, Sabale U, Valente S, Morosan F, Heuser M, Dodd O, Riley D, Heron L, Calabrò G, Agorastos T, Sevelda P, Krasznai Z, Nahum S, Horby R. Readiness assessment for cervical cancer elimination and prevention of human papillomavirus (HPV)-related cancers in Europe – are we winning the RACE?. Expert Review of Vaccines 2025;24(1):11 View
  15. Zhang X, Liu T, Li Z, Yang J, Hou H, Hao T, Zhang P, Hu C, Bao M, Ye P, Xiong S, Tian W, Yan G, Zhang J, Wang Y, Jiang W, Ge A, Pan Y, Praveen D, Peiris D, Feng X, Ding D, Yan L, Xu X, Zhang H, Wang Y, Tian W, Tian M. Using primary and routinely collected data to determine prevalence and patterns of multimorbidity in rural China: a representative cross-sectional study of 6474 Chinese adults. The Lancet Regional Health - Western Pacific 2025;54:101272 View
  16. Okwee-Acai J, Agwai B, Mawadri P, Kesiime C, Tubihemukama M, Kungu J, Odur B. Prevalence of common conditions and associated mortalities of dogs treated at the small animal clinic, Makerere University, Kampala, Uganda. BMC Veterinary Research 2024;20(1) View
  17. Chicco D, Fabris A, Jurman G. The Venus score for the assessment of the quality and trustworthiness of biomedical datasets. BioData Mining 2025;18(1) View
  18. Kasartzian D, Tsiampalis T. Transforming Cardiovascular Risk Prediction: A Review of Machine Learning and Artificial Intelligence Innovations. Life 2025;15(1):94 View
  19. Nazar W, Nazar G, Kamińska A, Danilowicz-Szymanowicz L. How to design, create and evaluate an instruction-tuning dataset for large language model training in healthcare: a tutorial from a clinical perspective. (Preprint). Journal of Medical Internet Research 2024 View
  20. Nishat M, Khan M, Ahmed T, Hossain S, Ahsan A, El-Sergany M, Shafiquzzaman M, Imteaz M, Alresheedi M. Comparative analysis of machine learning models for predicting water quality index in Dhaka’s rivers of Bangladesh. Environmental Sciences Europe 2025;37(1) View
  21. Sharifnia A, Kpormegbey D, Thapa D, Cleary M. A Primer of Data Cleaning in Quantitative Research: Handling Missing Values and Outliers. Journal of Advanced Nursing 2025 View
  22. Le H, Vu D, Nguyen A, Tran H, Nguyen T, Tran T, Kekalih A, Rijal S, Friska D, L Hamers R, Karkey A, Chambers M, Ilo Van Nuil J, Lewycka S. Research Electronic Data Capture (REDCap) for population-based data collection in Low- and Middle-Income Countries: Opportunities, Challenges, and Solutions (Preprint). Journal of Medical Internet Research 2024 View
  23. Wang J, Xu Y, Yang Z, Zhang J, Zhang X, Li W, Sun Y, Pan H. Factors Influencing Information Distortion in Electronic Nursing Records: Qualitative Study. Journal of Medical Internet Research 2025;27:e66959 View
  24. Samara M, Harry K. Leveraging Kaizen with Process Mining in Healthcare Settings: A Conceptual Framework for Data-Driven Continuous Improvement. Healthcare 2025;13(8):941 View
  25. Chatrabhuj , Meshram K, Mishra U, Rathnayake U. Application of artificial intelligence in agri-tech, environmental and biodiversity conservation. Array 2025;26:100412 View

Books/Policy Documents

  1. Al-Hgaish A, Atan R, Yaakob R, Osman M. Advances in Information Communication Technology and Computing. View
  2. Chibueze Izah S, Ogwu M. Innovative Approaches in Environmental Health Management. View