Establishing an Australian pediatric spinal cord disorder register using consumer, health professional, and researcher perspectives.

CONTEXT/OBJECTIVE: Pediatric spinal cord disorders (SCD) are rare, and epidemiological data available to support treatment are lacking. The implementation of a national data register tailored to this population would greatly assist clinicians and therapists in guiding clinical practice. This study gathered perspectives surrounding a prospective national pediatric spinal cord disorder register. DESIGN: Survey and modified Delphi technique. SETTING: Australia. PARTICIPANTS: SCD consumers, health professionals, and researchers. INTERVENTIONS: None. OUTCOME MEASURES: None. RESULTS: Purposive sampling recruited 6 consumers and 52 health professionals and researchers working in the field of SCD to participate. The consumer survey contained items including demographic information, general and pediatric-specific SCD health issues, and questions regarding activity and participation. The modified Delphi survey required health professionals and researchers to identify which "collection items" and "administrative features" should be included in a national SCD register for both clinical and research purposes. Seventeen essential and nine optional items, two outcome measures, data collection methods, consumer access, definition of "pediatric," and use of International Data Standards were included in the consensus for a minimum dataset. CONCLUSION: This study developed a minimum dataset that could inform an Australian register for pediatric SCD. A register linking to an adult database is recommended to ensure coverage across the lifespan. While items for a minimum dataset have been recommended, this dataset is large. Review and refinement of this list are recommended to ensure the register is not overly time-consuming for practical use.

Rigor in electronic health record knowledge representation: Lessons learned from a SNOMED CT clinical content encoding exercise.

UNLABELLED: Rigor in clinical knowledge representation is necessary foundation for meaningful interoperability, exchange and reuse of electronic health record (EHR) data. It is critical for clinicians to understand principles and implications of using clinical standards for knowledge representation within EHRs. PURPOSE: To educate clinicians and students about knowledge representation and to evaluate their success of applying the manual lookups method for assigning Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) concept identifiers using formally mapped concepts from the Omaha System interface terminology. METHODS: Clinicians who were students in a doctoral nursing program conducted 21 lookups for Omaha System terms in publicly available SNOMED CT browsers. Lookups were deemed successful if results matched exactly with the corresponding code from the January 2013 SNOMED CT-Omaha System terminology cross-map. RESULTS: Of the 21 manual lookups attempted, 12 (57.1%) were successful. Errors were due to semantic gaps differences in granularity and synonymy or partial term matching. CONCLUSIONS: Achieving rigor in clinical knowledge representation across settings, vendors and health systems is a globally recognized challenge. Cross-maps have potential to improve rigor in SNOMED CT encoding of clinical data. Further research is needed to evaluate outcomes of using of terminology cross-maps to encode clinical terms with SNOMED CT concept identifiers based on interface terminologies.