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EHR Interventions for "Beers Criteria" Prescribing: The Development and Impact of Computerized Clinical Decision Support Alerts On Prescribing for Elderly Outpatients - Softcover
For over a decade, there has been a high prevalence of potentially inappropriate medication (PIM) use as defined by the "Beers criteria" in the outpatient elderly population. Using CPOE medication lists, the measured prevalence of PIMs as of April 1, 2006 was 23.3% (8,693/37,247) of patients at Intermountain Healthcare and 23.0% (5,528/24,004) at the Cleveland Clinic. Patient characteristics associated with PIMs were polypharmacy, female, and multiple primary care visits. A decision support system of geriatric precaution screening alerts for 86 PIMs was integrated into Intermountain Healthcare's CPOE system. A 9-month prospective, randomized controlled trial of the system was conducted in 52 outpatient primary care and specialty clinics. Intervention clinics received the alerts, while control clinics received usual care. No significant difference in canceled PIM prescriptions was found between intervention clinics at 4.7% (187/3977) and control clinics at 4.8% (113/2364). None of the individual 86 PIM alerts showed significant differences. Positive physician feedback suggest the alerts have some clinical value.
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Dr. Michael D Buck completed his PhD in Biomedical Informatics at the University of Utah, School of Medicine and his postdoctoral fellowship at Columbia University. His research interests include clinical decision support, health information exchange solutions, syndromic surveillance, and ambulatory EHR implementation.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2010
- ISBN 10 3838353137
- ISBN 13 9783838353135
- BindingPaperback
- Number of pages144
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EHR Interventions for "Beers Criteria" Prescribing: The Development and Impact of Computerized Clinical Decision Support Alerts On Prescribing for Elderly Outpatients
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EHR Interventions for Beers Criteria Prescribing The Development and Impact of Computerized Clinical Decision Support Alerts On Prescribing for Elderly Outpatients
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -For over a decade, there has been a high prevalence of potentially inappropriate medication (PIM) use as defined by the 'Beers criteria' in the outpatient elderly population. Using CPOE medication lists, the measured prevalence of PIMs as of April 1, 2006 was 23.3% (8,693/37,247) of patients at Intermountain Healthcare and 23.0% (5,528/24,004) at the Cleveland Clinic. Patient characteristics associated with PIMs were polypharmacy, female, and multiple primary care visits. A decision support system of geriatric precaution screening alerts for 86 PIMs was integrated into Intermountain Healthcare's CPOE system. A 9-month prospective, randomized controlled trial of the system was conducted in 52 outpatient primary care and specialty clinics. Intervention clinics received the alerts, while control clinics received usual care. No significant difference in canceled PIM prescriptions was found between intervention clinics at 4.7% (187/3977) and control clinics at 4.8% (113/2364). None of the individual 86 PIM alerts showed significant differences. Positive physician feedback suggest the alerts have some clinical value. 144 pp. Englisch. Seller Inventory # 9783838353135
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EHR Interventions for Beers Criteria Prescribing The Development and Impact of Computerized Clinical Decision Support Alerts On Prescribing for Elderly Outpatients
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EHR Interventions for "Beers Criteria" Prescribing : The Development and Impact of Computerized Clinical Decision Support Alerts On Prescribing for Elderly Outpatients
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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - For over a decade, there has been a high prevalence of potentially inappropriate medication (PIM) use as defined by the 'Beers criteria' in the outpatient elderly population. Using CPOE medication lists, the measured prevalence of PIMs as of April 1, 2006 was 23.3% (8,693/37,247) of patients at Intermountain Healthcare and 23.0% (5,528/24,004) at the Cleveland Clinic. Patient characteristics associated with PIMs were polypharmacy, female, and multiple primary care visits. A decision support system of geriatric precaution screening alerts for 86 PIMs was integrated into Intermountain Healthcare's CPOE system. A 9-month prospective, randomized controlled trial of the system was conducted in 52 outpatient primary care and specialty clinics. Intervention clinics received the alerts, while control clinics received usual care. No significant difference in canceled PIM prescriptions was found between intervention clinics at 4.7% (187/3977) and control clinics at 4.8% (113/2364). None of the individual 86 PIM alerts showed significant differences. Positive physician feedback suggest the alerts have some clinical value. Seller Inventory # 9783838353135
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Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Buck MichaelDr. Michael D Buck completed his PhD in Biomedical Informatics at the University of Utah, School of Medicine and his postdoctoral fellowship at Columbia University. His research interests include clinical decision supp. Seller Inventory # 5415721
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