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They are specialists in the science of data management, regardless of how health information is collected, organised, stored, shared, analysed or reported, in multiple environments – paper, digital, electronic or web-based. The latter requires an increasing specialist knowledge of health informatics and digital health technologies. Health Information Managers have a crucial role in safeguarding the integrity, accuracy and confidentiality of these data. Underpinning data integrity and accuracy is the health information management professional’s expert knowledge of the language of medicine, the importance of complete, comprehensible clinical documentation and of clinical coding systems, terminologies and classifications. Their comprehensive knowledge of research methods ensures that data requested for research are handled ethically and for well-designed, methodologically sound analysis and reporting proposals, and that other data requests align with relevant national and state legislation and/or standards (Health Information Management Association of Australia (HIMAA), 2023) . Clinical registries are structured repositories of standardised health data, which are essential to drive quality improvement, enhance clinical practice, support public health surveillance and advance research (Monash University, Public Health and Preventive Medicine, 2025) .  \nThis Special Issue explores how aspects of health information management are applied within clinical registries to advance the field of clinical registry science. Organised into six thematic sections, this Special Issue reflects the  \nbreadth and depth of current innovations and challenges in clinical registry development and use, which through this collection of review, research and professional practice articles, offers valuable insights for health information management professionals, researchers, practitioners and policymakers working to strengthen clinical registries. Together, these articles underscore the importance of health information management practices in building robust, responsive and high-quality health data systems, exploring aspects of registry science at different levels of maturity.  \nData collection and standardisation: innovations in data collection methods and protocols for clinical registries  \nInternationally, there is growing momentum to ensure all data collected are standardised for all health systems using recognised nomenclatures, terminologies and standards such as the Systematized Nomenclature of Medicine – Clinical Terminology (SNOMED-CT), Health Level 7 International (HL7) Fast","cbCaipoC9Rpe0rXS","https://ap.wps.com/l/cbCaipoC9Rpe0rXS","pdf",528928,"English","# The intersection between health information management and clinical registries\n## Role of health information management professionals\n## Clinical registries and their purpose\n## Special Issue focus and thematic structure\n## Data collection and standardisation","[{\"question\":\"What is the central theme of this guest editorial?\",\"answer\":\"The editorial explores how health information management intersects with clinical registries to advance clinical registry science and improve the field through review, research, and practice articles.\"},{\"question\":\"Why are health information management professionals important for clinical registries?\",\"answer\":\"They manage and safeguard high-quality health data by ensuring integrity, accuracy, confidentiality, complete clinical documentation, appropriate clinical coding, and ethical, methodologically sound research-ready data handling.\"},{\"question\":\"How do clinical registries support healthcare and research?\",\"answer\":\"Clinical registries are structured repositories of standardized data that drive quality improvement, enhance clinical practice, support public health surveillance, and advance research.\"}]","The intersection of health information management and clinical registries - Guest Editorial | PDF",1790618290,13]