Methods of Information in Medicine, Table of Contents Methods Inf Med 2023; 62(01/02): 001-004DOI: 10.1055/a-2045-8287 Editorial for Focus Theme High-Quality Data for Health Care and Health Research Jürgen Stausberg 1 Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), Faculty of Medicine, University Duisburg-Essen, Duisburg, Germany , Sonja Harkener 1 Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), Faculty of Medicine, University Duisburg-Essen, Duisburg, Germany › Author Affiliations Recommend Article Abstract Buy Article Full Text References References 1 Chelagat D, Sum T, Obel M, Chebor A, Kiptoo R, Bundotich-Mosol P. Documentation: Historical perspectives, purposes, benefits and challenges as faced by nurses. Int J Humanit Soc Sci 2013; 3: 236-240 2 Nightingale F. Notes on Hospitals, 3rd ed. London: Longman, Green, Longman, Roberts, and Green; 1863: 176 3 Buechner JS, Constantine H, Gjelsvik A. John Snow and the Broad Street pump: 150 years of epidemiology. Med Health R I 2004; 87 (10) 314-315 4 Ackoff RL. From data to wisdom. Presidential address to ISGSR, June 1998. J Appl Syst Anal 1989; 16: 3-9 5 Naroll F, Naroll R, Howard FH. Position of women in childbirth. A study in data quality control. Am J Obstet Gynecol 1961; 82: 943-954 6 Simonton DK. Sociocultural context of individual creativity: a transhistorical time-series analysis. J Pers Soc Psychol 1975; 32 (06) 1119-1133 7 Payne T, Kanvik S, Seward R. et al. Development of an immunization tracking system in a large health maintenance organization. Group Health Cooperative of Puget Sound. Proc Annu Symp Comput Appl Med Care 1991; 131-135 8 Wang RY, Strong DM. Beyond accuracy: what data quality means to data consumers. J Manage Inf Syst 1996; 12: 5-33 9 Mashoufi M, Ayatollahi H, Khorasani-Zavareh D, Talebi Azad Boni T. Data quality in health care: main concepts and assessment methodologies. Methods Inf Med 2023; 62 (1-2): 5-18 10 Quindroit P, Fruchart M, Degoul S. et al. Definition of a practical taxonomy for referencing data quality problems in health care databases. Methods Inf Med 2023; 62 (1-2): 19-30 11 Yusuf KO, Miljukov O, Schoneberg A. et al. Consistency as a data quality measure for German Corona Consensus items mapped from National Pandemic Cohort Network data collections. Methods Inf Med 2023; (e-pub ahead of print) 12 Rau H, Stahl D, Reichel AJ, Bialke M, Bahls T, Hoffmann W. We know what you agreed to, don't we?—Evaluating the quality of paper-based consents forms and their digitalized equivalent using the example of the Baltic Fracture Competence Centre Project. Methods Inf Med 2023; (e-pub ahead of print) 13 Tute E, Mast M, Wulff A. Targeted data quality analysis for a clinical decision support system for SIRS detection in critically ill pediatric patients. Methods Inf Med 2023; (e-pub ahead of print) 14 Tahar K, Martin T, Mou Y, Verbuecheln R, Graessner H, Krefting D. Rare diseases in hospital information systems—an interoperable methodology for distributed data quality assessments. Methods Inf Med 2023; (e-pub ahead of print) 15 Hernadez M, Epelde G, Alberdi A, Cilla R, Rankin D. Synthetic tabular data evaluation in the health domain covering resemblance, utility, and privacy dimensions. Methods Inf Med 2023; (e-pub ahead of print) 16 Smith B, Van Steelandt S, Khojandi A. Evaluating the impact of healthcare data completeness for deep generative models. Methods Inf Med 2023; 62 (1-2): 31-39
