The role of social media for patients and consumer health. Contribution of the IMIA Consumer Health Informatics Working Group.

OBJECTIVES: : To provide an overview on social media for consumers and patients in areas of health behaviours and outcomes. METHODS: A directed review of recent literature. RESULTS: : We discuss the limitations and challenges of social media, ranging from social network sites (SNSs), computer games, mobile applications, to online videos. An overview of current users of social media (Generation Y), and potential users (such as low socioeconomic status and the chronically ill populations) is also presented. Future directions in social media research are also discussed. CONCLUSIONS: : We encourage the health informatics community to consider the socioeconomic class, age, culture, and literacy level of their populations, and select an appropriate medium and platform when designing social networked interventions for health. Little is known about the impact of second-hand experiences faciliated by social media, nor the quality and safety of social networks on health. Methodologies and theories from human computer interaction, human factors engineering and psychology may help guide the challenges in designing and evaluating social networked interventions for health. Further, by analysing how people search and navigate social media for health purposes, infodemiology and infoveillance are promising areas of research that should provide valuable insights on present and emergening health behaviours on a population scale.

Challenges in measuring the impact of interruption on patient safety and workflow outcomes.

OBJECTIVE: To examine the problem of studying interruption in healthcare. METHODS: Review of the interruption literature from psychology, human-computer interaction; experimental studies of electronic prescribing and error behaviour; observational studies in emergency and intensive care. RESULTS: Primary task and interruption variables which contribute to the outcomes of an interruption include the type of task (primary and interrupting task); point of interruption; duration of interruption; similarity of interruptive task to primary task; modality of interruption; environmental cues; and interruption handling strategy. Effects of interruption on task performance can be examined by measuring errors, the time on task, interruption lag and resumption lag. CONCLUSIONS: Interruptions are a complex phenomenon where multiple variables including the characteristics of primary tasks, the interruptions themselves, and the environment may influence patient safety and workflow outcomes. Observational studies present significant challenges for recording many of the process variables that influence the effects of interruptions. Controlled experiments provide an opportunity to examine the specific effects of variables on errors and efficiency. Computational models can be used to identify the situations in which interruptions to clinical tasks could be disruptive and to investigate the aggregate effects of interruptions.