Leveraging an Innovation Model to Facilitate ICD-11 Implementation

• Published in: Perspectives in health information management 2024-03, Vol.21 (1), p.1-13
• Main Authors: Giannangelo, Kathy L, Pine, Michael B, Tompkins, Christopher P
• Format: Article
• Language: English
• Subjects: Classification; Data collection; Hyperplasia; Informatics; Information systems; Information technology; Morbidity; Ontology; Parasitic diseases; Pneumonia
• ISSN: 1559-4122; 1559-4122

ICD-11, ICD-10, ICD-10-CM, International Classification of Diseases, ontology, morbidity, interoperability, health information exchange, episode of care, value-based healthcare Introduction In 2007, the World Health Organization (WHO) began a revision and restructuring of the International Statistical Classification of Diseases and Related Health Problems, 1 Oth revision (ICD-10) to transform this classification system into a flexible clinical and research friendly structure aligned with advances in information technology. The model introduces ICD-11 Comprehensive Clinical Linearization, Evolution and Response (C-CLEAR), a fully coded comprehensive clinical linearization along with syntactical rules for combining these codes that can translate detailed natural clinical language into standardized coded patient records that exploit the significant advantages of ICD-11. While ICD-10-CM was seen as an improvement over the 9th Clinical Modification of ICD,5,6 a system used since 1979, the implementation was considered highly disruptive and time-consuming, and added significant financial and administrative burdens on physicians and other healthcare providers.7"10 More than four years have passed since the 11th revision was endorsed by the World Health Assembly.1 WHO also has ceased updates to ICD-10.3 As of February 2023, 64 Member States are in different stages of ICD-11 implementation.11 Compared to ICD-10, Harrison et al.12 noted in their review that, "ICD-11 is a different and more powerful health information system, based on formal ontology, designed to be implemented in modern information technology infrastructures, and flexible enough for future modification and use with other classifications and terminologies." Recognizing the NCVHS recommendations and ICD-ll's potential, the authors created a prototype innovation model with a volunteer group of professionals representing medicine, informatics, healthcare data, computer technology, analytics, performance evaluation, economics, and payment.