Organizational culture is an important determinant of sustained innovativeness and financial performance. Though it is easy to appreciate the important role culture plays in making an innovation successful, it is difficult to change culture. One way of changing culture could be to identify elements of innovative culture and then imbibing the ones relevant to a given organization. In this paper, we have identified, based on past research, eight elements of organizational innovative culture: innovative mission and vision statements, democratic communication, safe spaces, flexibility, collaboration, boundary spanning, incentives, and leadership. We believe that assimilating these elements of organizational culture will enable organizations to support and sustain innovative activities.

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New media allows previously passive consumers to tell and shape stories together. Yet most information is still disseminated in a top-down fashion, without taking advantage of the features enabled by new media. This paper presents five Alternate Reality Game (ARG) case studies which reveal common features and mechanisms used to attract and retain diverse players, to create task-focused communities and to solve problems collectively. Voluntary, collective problem solving is an intriguing phenomenon wherein disparate individuals work together asynchronously to solve problems together. ARGs also take advantage of the unique features of new media to craft stories that could not be told using other media.

Children with special healthcare needs (CSHCN) require health and related services that exceed those required by most hospitalized children. A small but growing and important subset of the CSHCN group includes medically complex children (MCCs). MCCs typically have comorbidities and disproportionately consume healthcare resources. To enable strategic planning for the needs of MCCs, simple screens to identify potential MCCs rapidly in a hospital setting are needed. We assessed whether the number of medications used and the class of those medications correlated with MCC status. Retrospective analysis of medication data from the inpatients at Seattle Children's Hospital found that the numbers of inpatient and outpatient medications significantly correlated with MCC status. Numerous variables based on counts of medications, use of individual medications, and use of combinations of medications were considered, resulting in a simple model based on three different counts of medications: outpatient and inpatient drug classes and individual inpatient drug names. The combined model was used to rank the patient population for medical complexity. As a result, simple, objective admission screens for predicting the complexity of patients based on the number and type of medications were implemented.