Bmc Fam Pract
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Polypharmacy is a key challenge in healthcare especially in older and multimorbid patients. The use of multiple medications increases the potential for drug interactions and for prescription of potentially inappropriate medications. eHealth solutions are increasingly recommended in healthcare, with big data analysis techniques as a major component. In the following we use the term analysis of big data as referring to the computational analysis of large data sets to find patterns, trends, and associations in large data sets collected from a wide range of sources in contrast to using classical statistics programs. It is hypothesized that big data analysis is able to reveal patterns in patient data that would not be identifiable using conventional methods of data analysis. The aim of this review was to evaluate whether there are existing big data analysis techniques that can help to identify patients consuming multiple drugs and to assist in the reduction of polypharmacy in patients. ⋯ There are few studies to date which have used big data analysis techniques for identification and management of polypharmacy. There may be a need to further explore interdisciplinary collaboration between computer scientists and healthcare professionals, to develop and evaluate big data analysis techniques that can be implemented to manage polypharmacy.
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In a society where ageing of the population and the increasing prevalence of long-term conditions are major issues, collaboration between primary and secondary care is essential to provide continuous, patient-centred care. Doctors play an essential role at the primary-secondary care interface in realising 'seamless' care. Therefore, they should possess collaborative competencies. However, knowledge about these collaborative competencies is scarce. In this review we explore what competencies doctors need to promote collaboration between doctors at the primary-secondary care interface. ⋯ This review provides an integrative view on competencies necessary for collaborative practice at the primary-secondary care interface. They are part of several domains, showing the complexity of collaboration. The information gathered in this review can support doctors to enhance and learn collaboration in daily practice and can be used in educational programmes in all stages of medical education.