Challenges for Data Quality in the Clinical Data Life Cycle: Systematic Review

Journals

1. Brancewicz M, Robakowska M, Śliwiński M, Rystwej D. SMS and Telephone Communication as Tools to Reduce Missed Medical Appointments. Applied Sciences 2025;15(17):9773 View
2. Wang J, Lin A, Huang Y, Li G, Chen T, Sun C, Qian W, Ren S, Wong H, Ding Y, Zhang L. Medical Data as a Key Asset in the Digital Health Era: A Framework for Challenges and Strategies. iMetaMed 2025;1(2) View
3. Івченко І, Грібенюк Д. ІНТЕЛЕКТУАЛЬНІ ІНФОРМАЦІЙНІ ТЕХНОЛОГІЇ МОДЕЛЮВАННЯ ПРОЦЕСІВ У СИСТЕМІ ОХОРОНИ ЗДОРОВ’Я. Економіка та суспільство 2025;(80) View
4. Magouliotis D, Sicouri N, Ramlawi L, Baudo M, Androutsopoulou V, Sicouri S. Artificial Intelligence in Adult Cardiovascular Medicine and Surgery: Real-World Deployments and Outcomes. Journal of Personalized Medicine 2026;16(2):69 View
5. Hassan A, Gulzar Ahmad S, Ullah Munir E, Rabah H, Jovanovic S, Ramzan N. A unified machine learning framework for gestational diabetes mellitus diagnosis. Discover Applied Sciences 2026;8(3) View
6. Paukkunen M, Öberg B, Karppinen J, Ala-Mursula L, Ryynänen K, Holopainen R, Abbott A. Where is the patient in the records? Evaluating physiotherapists’ first visit in occupational health primary care pathway for low back pain. BMJ Open Quality 2026;15(1):e003900 View