By Beverly Holley, Health Language
The introduction of industry standards such as SNOMED CT, ICD-10, LOINC, and RxNorm is an important step toward achieving the goals of interoperability and information sharing. Yet healthcare organizations still face notable challenges to laying the best frameworks for normalizing data to these standards. Since there is no one standard that addresses all healthcare information, clinical and financial data must be “cleaned” and appropriately mapped to a single source of truth to remove semantic ambiguity.
Data used in the behavioral health field from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) is no exception. As the universal authority for psychiatric diagnosis in the United States, DSM-5 information is critical to populating problem lists, enhancing clinical decision support, and supporting population health initiatives. Problem lists in particular have been a focal point of regulatory initiatives to improve electronic exchange of critical patient data by aligning multi-disciplinary treatment efforts as patients are triaged from unit to unit or provider to provider.