Effects of two different levels of computerized decision support on blood glucose regulation in critically ill patients
暂无分享,去创建一个
Dave Dongelmans | Evert de Jonge | Nicolette de Keizer | Ameen Abu-Hanna | Saeid Eslami | Marcus J. Schultz | A. Abu-Hanna | N. D. Keizer | S. Eslami | D. Dongelmans | E. Jonge | M. Schultz
[1] Rajesh Garg,et al. Delay in blood glucose monitoring during an insulin infusion protocol is associated with increased risk of hypoglycemia in intensive care units. , 2009, Journal of hospital medicine.
[2] J. Benneyan,et al. Statistical process control as a tool for research and healthcare improvement , 2003, Quality & safety in health care.
[3] Rattan Juneja,et al. Computerized intensive insulin dosing can mitigate hypoglycemia and achieve tight glycemic control when glucose measurement is performed frequently and on time , 2009, Critical care.
[4] M. Berg,et al. ICT in health care: sociotechnical approaches. , 2003, Methods of Information in Medicine.
[5] Nicolette de Keizer,et al. The impact of computerized physician medication order entry in hospitalized patients - A systematic review , 2008, Int. J. Medical Informatics.
[6] Paul Taylor,et al. Research Paper: Use of a Computerized Guideline for Glucose Regulation in the Intensive Care Unit Improved Both Guideline Adherence and Glucose Regulation , 2004, J. Am. Medical Informatics Assoc..
[7] Ameen Abu-Hanna,et al. Implementing glucose control in intensive care: a multicenter trial using statistical process control , 2010, Intensive Care Medicine.
[8] O. Tanner. Intensive versus Conventional Glucose Control in Critically Ill Patients , 2009 .
[9] Raymond G. Carey,et al. How Do You Know That Your Care Is Improving? Part I: Basic Concepts in Statistical Thinking , 2002 .
[10] M A Mohammed,et al. Plotting basic control charts: tutorial notes for healthcare practitioners , 2008, Quality & Safety in Health Care.
[11] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[12] Deborah J. Cook,et al. Intensive insulin therapy and mortality among critically ill patients: a meta-analysis including NICE-SUGAR study data , 2009, Canadian Medical Association Journal.
[13] Anthony Delaney,et al. Benefits and Risks of Tight Glucose Control in Critically Ill Adults: A Metaanalysis , 2009 .
[14] Scott K Aberegg,et al. Intensive insulin therapy in the medical ICU. , 2006, The New England journal of medicine.
[15] M Schetz,et al. Intensive insulin therapy in critically ill patients. , 2001, The New England journal of medicine.
[16] Raymond G. Carey,et al. Improving Healthcare with Control Charts: Basic and Advanced SPC Methods and Case Studies , 2002 .
[17] Ameen Abu-Hanna,et al. Tight glycemic control and computerized decision-support systems: a systematic review , 2009, Intensive Care Medicine.
[18] Benjamin M. Adams,et al. Advanced Topics in Statistical Process Control : The Power of Shewhart's Charts , 1995 .
[19] Arie Hasman,et al. A parallel guideline development and formalization strategy to improve the quality of clinical practice guidelines , 2009, Int. J. Medical Informatics.
[20] Ameen Abu-Hanna,et al. A systematic review on quality indicators for tight glycaemic control in critically ill patients: need for an unambiguous indicator reference subset , 2008, Critical care.
[21] E. Shortliffe. Computer programs to support clinical decision making. , 1990, JAMA.
[22] Liu Xinbing,et al. Intensive insulin therapy for the critically ill patients with stress hyperglycemia , 2008 .