Background-Bisphosphonates are medications that impact bone reformation by inhibiting osteoclast function. Osteonecrosis of the jaw has been reported among patients receiving these medications. It is unclear if the risk factors associated with osteonecrosis of the jaw among cancer patients taking bisphosphonates are also possible risk factors among patients receiving these medications for other indications.
The recent announcement of the Precision Medicine Initiative by President Obama has brought precision medicine (PM) to the forefront for healthcare providers, researchers, regulators, innovators, and funders alike. As technologies continue to evolve and datasets grow in magnitude, a strong computational infrastructure will be essential to realize PM’s vision of improved healthcare derived from personal data. In addition, informatics research and innovation affords a tremendous opportunity to drive the science underlying PM. The informatics community must lead the development of technologies and methodologies that will increase the discovery and application of biomedical knowledge through close collaboration between researchers, clinicians, and patients. This perspective highlights seven key areas that are in need of further informatics research and innovation to support the realization of PM.
BackgroundPatient-centered care promotes the inclusion of the most prominent and important member of the health care team, the patient, as an active participant in information exchange and decision making. Patient self-management of a chronic disease requires the patient to bridge the gap between multiple care settings and providers. Hospitalizations often disrupt established self-management routines. Access to medical information during hospitalization reflects patients’ rights to partner in their own care and has the potential to improve self-management as well as promote informed decision making during and after hospitalization. The objectives of this study were to elicit the perspectives of patients with chronic disease about desired medical information content and access during hospitalization.MethodsThis exploratory study incorporated a qualitative approach. The online survey included the research team created open and limited response survey, demographic and hospital characteristic questions, and the Patient Activation Measurement instrument (PAM®). Convenience and social media snowball sampling were used to recruit participants through patient support groups, email invitations, listservs, and blogs. The research team employed descriptive statistics and qualitative content analysis techniques.ResultsThe study sample (n = 34) ranged in age from 20 to 76 (μ = 48; SD = 16.87), Caucasian (91%, n = 31), female (88%, n = 30) and very highly educated (64%, n = 22 were college graduates). The PAM® survey revealed a highly activated sample. Qualitative analysis of the open-ended question responses resulted in six themes: Caring for myself; I want to know everything; Include me during handoff and rounds; What I expect; You’re not listening; and Tracking my health information.ConclusionsThis study revealed that hospitalized patients want to be included in provider discussions, such as nursing bedside handoff and medical rounds. Only a few participants had smooth transitions from hospital to home. Participants expressed frustration with failures in communication among their providers during and after hospitalization and provider behaviors that interfered with patient provider communication processes. Patients also identified interest in maintaining their own health histories and information but most had to “cobble together” a myriad of methods to keep track of their evolving condition during hospitalization.Electronic supplementary materialThe online version of this article (doi:10.1186/s12913-017-2487-6) contains supplementary material, which is available to authorized users.
As systems evolve over time, their natural tendency is to become increasingly more complex. Studies in the field of complex systems have generated new perspectives on management in social organizations such as hospitals. Much of this research appears as a natural extension of the cross-disciplinary field of systems theory. This is the 15th in a series of articles applying complex systems science to the traditional management concepts of planning, organizing, directing, coordinating, and controlling. In this article, the authors discuss healthcare social networks as a hierarchy of embedded complex adaptive systems. The authors further examine the use of social network analysis tools as a means to understand complex communication patterns and reduce medical errors.
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