15,768 research outputs found

    The drug logistics process: an innovation experience

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    Purpose - The purpose of this paper is to present the latest innovations in the drug distribution processes of hospital companies, which are currently dealing with high inventory and storage costs and fragmented organizational responsibilities. Design/methodology/approach - The literature review and the in-depth analysis of a case study support the understanding of the unit dose drug distribution system and the subsequent definition of the practical implications for hospital companies. Findings - Starting from the insights offered by the case study, the analysis shows that the unit dose system allows hospitals to improve the patient care quality and reduce costs. Research limitations/implications - The limitations of the research are those related to the theoretical and exploratory nature of the study, but from a practical point of view, the work provides important indications to the management of healthcare companies, which have to innovate their drug distribution systems. Originality/value - This paper analyzes a new and highly topical issue and provides several insights for the competitive development of a fundamental sector

    Statistics in the Big Data era

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    It is estimated that about 90% of the currently available data have been produced over the last two years. Of these, only 0.5% is effectively analysed and used. However, this data can be a great wealth, the oil of 21st century, when analysed with the right approach. In this article, we illustrate some specificities of these data and the great interest that they can represent in many fields. Then we consider some challenges to statistical analysis that emerge from their analysis, suggesting some strategies

    A Platform for the Analysis of Qualitative and Quantitative Data about the Built Environment and its Users

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    There are many scenarios in which it is necessary to collect data from multiple sources in order to evaluate a system, including the collection of both quantitative data - from sensors and smart devices - and qualitative data - such as observations and interview results. However, there are currently very few systems that enable both of these data types to be combined in such a way that they can be analysed side-by-side. This paper describes an end-to-end system for the collection, analysis, storage and visualisation of qualitative and quantitative data, developed using the e-Science Central cloud analytics platform. We describe the experience of developing the system, based on a case study that involved collecting data about the built environment and its users. In this case study, data is collected from older adults living in residential care. Sensors were placed throughout the care home and smart devices were issued to the residents. This sensor data is uploaded to the analytics platform and the processed results are stored in a data warehouse, where it is integrated with qualitative data collected by healthcare and architecture researchers. Visualisations are also presented which were intended to allow the data to be explored and for potential correlations between the quantitative and qualitative data to be investigated

    Disparities in registration and use of an online patient portal among older adults: findings from the LitCog cohort

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    (C) The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved.Financial disclosure: This project was supported by the National Institute on Aging (R01 AG030611), the National Center for Research Resources (5UL1RR025741), and the National Center for Advancing Translational Sciences (Grant 8UL1TR000150). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Smith is currently supported by a Cancer Research UK Fellowship

    Mobility and Clinic Switching Among Postpartum Women Considered Lost to HIV Care in South Africa.

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    This version is the Accepted Manuscript, and was published in final edited form as: J Acquir Immune Defic Syndr. 2017 April 01; 74(4): 383–389. doi:10.1097/QAI.0000000000001284OBJECTIVE: Retention in HIV care, particularly among postpartum women, is a challenge to national antiretroviral therapy programs. Retention estimates may be underestimated because of unreported transfers. We explored mobility and clinic switching among patients considered lost to follow-up (LTFU). DESIGN: Observational cohort study. METHODS: Of 788 women initiating antiretroviral therapy during pregnancy at 6 public clinics in Johannesburg, South Africa, 300 (38.1%) were LTFU (no visit ≥3 months). We manually searched for these women in the South African National Health Laboratory Services database to assess continuity of HIV care. We used geographic information system tools to map mobility to new facilities. RESULTS: Over one-third (37.6%) of women showed evidence of continued HIV care after LTFU. Of these, 67.0% continued care in the same province as the origin clinic. Compared with those who traveled outside of the province for care, these same-province "clinic shoppers" stayed out-of-care longer {median 373 days [interquartile range (IQR): 175-790] vs. 175.5 days (IQR: 74-371)} and had a lower CD4 cell count on re-entry [median 327 cells/μL (IQR: 196-576) vs. 493 cells/μL (IQR: 213-557). When considering all women with additional evidence of care as engaged in care, cohort LTFU dropped from 38.1% to 25.0%. CONCLUSION: We found evidence of continued care after LTFU and identified local and national clinic mobility among postpartum women. Laboratory records do not show all clinic visits and manual matching may have been under- or overestimated. A national health database linked to a unique identifier is necessary to improve reporting and patient care among highly mobile populations

    Addendum to Informatics for Health 2017: Advancing both science and practice

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    This article presents presentation and poster abstracts that were mistakenly omitted from the original publication
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