From a Time Standard for Medical Informatics to a Controlled Language for Health

CEN ENV 12381 is a European Prestandard focusing on formal representation and explicit reference of temporal information in healthcare informatics and telematics. One of its merits is not just the possibility to represent natural language expressions containing time-related information in a structured way, but also to give some mechanisms on how clinical language itself can be used to convey meaning unambiguously. As such, CEN ENV 12381 introduces the notion of “controlled language use ” in the domain of healthcare. In this paper the principles behind controlled language design and use are explained. Through a detailed study of the inconsistencies and ambiguities that arise when interpreting Snomed procedure terms in the framework of the Galen-In-Use project, it is shown that most of them can be explained as a violation of sound term-formation principles. A proposal is made to develop a controlled language for health and to use it in subsequent versions of coding and classification systems. It is expected that such an endeavour will lead to a more effective application of linguistic engineering in areas such as automatic knowledge acquisition, automatic translation, and terminology validation in the domain of healthcare informatics

Are two-dimensional measured frontal plane angles related to three-dimensional measured kinematic profiles during running?

OBJECTIVES: To investigate the temporal relationship between two-dimensional measured frontal plane joint angles and three-dimensional measured kinematic profiles during the stance phase of running, and to assess the intra- and intertester reliability of the two-dimensional angles. DESIGN: Observational study. SETTING: Research laboratory. PARTICIPANTS: Fifteen injury-free elite athletes. MAIN OUTCOME MEASURES: Contralateral pelvic drop (CPD), femoral adduction (FA), hip adduction (HA) and knee valgus (KV) were measured at the deepest landing position during midstance with two-dimensional video analysis during running. CPD, HA and knee abduction were measured continuously during the entire stance phase through three-dimensional motion analysis. One-dimensional statistical parametric mapping was used to examine the temporal relationships between the two-dimensional angles and three-dimensional kinematic profiles. In addition, intra-class correlation coefficients (ICC) were calculated to assess the intra- and intertester reliability of the two-dimensional angles. RESULTS: Two-dimensional CPD, FA and HA were significantly related to the three-dimensional HA kinematic profile. Two-dimensional CPD was significantly related to the three-dimensional CPD kinematic profile. No significant relationship was found between two-dimensional KV and three-dimensional knee abduction. Excellent intra- and intertester reliability was found for the two-dimensional angles (ICC 0.90-0.99). CONCLUSIONS: These findings support implementing two-dimensional video analysis to evaluate CPD and HA during running.status: publishe