Developing a System for Processing Health Data of Children Using Digitalized Toys: Ethical and Privacy Concerns for the Internet of Things Paradigm

EDUCERE (Ubiquitous Detection Ecosystem to Care and Early Stimulation for Children with Developmental Disorders) is a government funded research and development project. EDUCERE objectives are to investigate, develop, and evaluate innovative solutions for society to detect changes in psychomotor development through the natural interaction of children with toys and everyday objects, and perform stimulation and early attention activities in real environments such as home and school. In the EDUCERE project, an ethical impact assessment is carried out linked to a minors’ data protection rights. Using a specific methodology, the project has achieved some promising results. These include use of a prototype of smart toys to detect development difficulties in children. In addition, privacy protection measures which take into account the security concerns of health data, have been proposed and applied. This latter security framework could be useful in other Internet of Things related projects. It consists of legal and technical measures. Special attention has been placed in the transformation of bulk data such as acceleration and jitter of toys into health data when patterns of atypical development are found. The article describes the different security profiles in which users are classified.     

A case-controlled field study evaluating ICD-11 proposals for relational problems and intimate partner violence

Background/Objective: Intimate partner relationship problems and intimate partner abuse and neglect — referred to in this paper as “relational problems and maltreatment” — have substantial and well-documented impact on both physical and mental health. However, classification guidelines, such as those found in the International Classification of Diseases (ICD-10), are vague and unlikely to support consistent application. Revised guidelines proposed for ICD-11 are much more operationalized. We used standardized clinical vignette conditions with an international panel of clinicians to test if ICD-11 changes resulted in improved classification accuracy. Method: English-speaking mental health professionals (N = 738) from 65 nations applied ICD-10 or ICD-11 (proposed) guidelines with experimentally manipulated case presentations of presence or absence of (a) individual mental health diagnoses and (b) relational problems or maltreatment. Results: ICD-11, compared with ICD-10, guidelines resulted in significantly better classification accuracy, although only in the presence of co-morbid mental health problems. Clinician factors (e. g., gender, language, world region) largely did not impact classification performance. Conclusions: Despite being considerably more explicated, raters’ performance with ICD-11 guidelines reveals training issues that should be addressed prior to the release of ICD-11 in 2018 (e. g., overriding the guidelines with pre-existing archetypes for relationship problems and physical and psychological abuse).