10 research outputs found

    Vision, mission, and values: From concept to execution at Mayo Clinic

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    Mayo Clinic displays steadfast commitment to patient care, referral relations, and health care quality through institutional examples of unique, value-add endeavors that are under way with the Mayo Clinic Patient Experience Subcommittee and the Referring Physician Office. In this article, we share the Mayo Model of Care and patient stories that embody the 8 Mayo Clinic values of respect, compassion, integrity, healing, teamwork, excellence, innovation, and stewardship. The Mayo founders imparted to their staff the passion for patient care by encouraging a fair and just culture for its employees. This culture allows the creation, maintenance, and improvement of clinical care, research studies, and educational curricula, which in turn propagate the mission–“To inspire hope and contribute to health and well-being by providing the best care to every patient through integrated clinical practice, education, and research.

    Evaluation of the impact of hematocrit and other interference on the accuracy of hospital-based glucose meters,”

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    ABSTRACT Background: Most glucose meter comparisons to date have focused on performance specifications likely to impact subcutaneous dosing of insulin. We evaluated four hospital-based glucose meter technologies for accuracy, precision, and analytical interferences likely to be encountered in critically ill patients, with the goal of identifying and discriminating glucose meter performance specifications likely to impact intensive intravenous insulin dosing. Methods: Precision, both within-run and day-to-day, was evaluated on all four glucose meters. Accuracy (bias) of the meters and analytical interference were evaluated by comparing results obtained on whole blood specimens to plasma samples obtained from these whole blood specimens run on a hexokinase reference method. Results: Precision was acceptable and differed little between meters. There were significant differences in the degree to which the meters correlated with the reference hexokinase method. Ascorbic acid showed significant interference with three of the four meters. Hematocrit also affected the correlation between whole blood and plasma hexokinase glucose on three of the four glucose meters tested, with the magnitude of this interference also varying by glucose meter technology. Conclusions: Correlation to plasma hexokinase values and hematocrit interference are the main variables that differentiate glucose meters. Meters that correlate with plasma glucose measured by a reference method over a wide range of glucose concentrations and minimize the effects of hematocrit will allow better glycemic control for critically ill patients
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