The current paper reviews briefly the eHealth domain, especially falldetection and prevention features, in connection with the developments of ICTs.The timely data signal providing identification of probable fall at early stages aswell as its specifics can prevent serious injuries. It is crucial for elderly peopleliving at home alone since it could affect their independent living. Therefore, thespecific and contextual characteristics of several related factors are essential tounderstand in order to be able to diminish or remove the risk of the fall of theelderly at risk. The current paper presents research in progress and its results inthe FRONT-VL project part of Celtic plus. The paper highlights essential factorsto consider when developing and implementing a semantic database model forpurposes, such as fault prevention.