A computer-based intervention for improving the appropriateness of antiepileptic drug level monitoring
Philip Chen,Milenko J. Tanasijevic,Ronald A. Schoenenberger,Julie M. Fiskio,Gilad J. Kuperman,David W. Bates +5 more
88
TL;DR: A simple, automated, activity-based intervention targeting a specific test-ordering behavior effectively reduced inappropriate laboratory testing and supports the idea that computerized interventions may durably affect physician behavior.
read more
Abstract: We designed and implemented 2 automated, computerized screens for use at the time of antiepileptic drug (AED) test order entry to improve appropriateness by reminding physicians when a potentially redundant test was ordered and providing common indications for monitoring and pharmacokinetics of the specific AED. All computerized orders for inpatient serum AED levels during two 3-month periods were included in the study. During the 3-month period after implementation of the automated intervention, 13% of all AED tests ordered were canceled following computerized reminders. For orders appearing redundant, the cancellation rate was 27%. For nonredundant orders, 4% were canceled when information on specific AED monitoring and pharmacokinetics was provided. The cancellation rate was sustained after 4 years. There has been a 19.5% decrease in total AED testing volume since implementation of this intervention, despite a 19.3% increase in overall chemistry test volume. Inappropriateness owing to repeated testing before pharmacologic steady state was reached decreased from 54% of all AED orders to 14.6%. A simple, automated, activity-based intervention targeting a specific test-ordering behavior effectively reduced inappropriate laboratory testing. The sustained benefit supports the idea that computerized interventions may durably affect physician behavior. Computerized delivery of such evidence-based boundary guidelines can help narrow the gap between evidence and practice.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care
Basit Chaudhry,Jerome K. Wang,Shinyi Wu,Margaret Maglione,Walter Mojica,Elizabeth Roth,Sally C. Morton,Paul G. Shekelle +7 more
TL;DR: This work systematically review evidence on the costs and benefits associated with use of health information technology and to identify gaps in the literature in order to provide organizations, policymakers, clinicians, and consumers an understanding of the effect ofhealth information technology on clinical care.
3.4K
Consensus Guidelines for Therapeutic Drug Monitoring in Neuropsychopharmacology: Update 2017.
Christoph Hiemke,Niels Bergemann,Hans-Willi Clement,Andreas Conca,Jürgen Deckert,Katharina Domschke,Gabriel Eckermann,Karin Egberts,Manfred Gerlach,Christine Greiner,Gerhard Gründer,E Haen,Ursula Havemann-Reinecke,Gudrun Hefner,Renate Helmer,Ger Janssen,Eveline Jaquenoud,Gerd Laux,Thomas Messer,Rainald Mössner,Matthias J. Müller,Michael Paulzen,Bruno Pfuhlmann,P. Riederer,Alois Saria,Bernd Schoppek,Georgios Schoretsanitis,Markus J. Schwarz,M. Silva Gracia,Benedikt Stegmann,Werner Steimer,Julia C. Stingl,Manfred Uhr,S. Ulrich,Stefan Unterecker,R. Waschgler,Gerald Zernig,Gabriele Zurek,Pierre Baumann +38 more
TL;DR: Following the new guidelines for therapeutic drug monitoring in psychiatry holds the potential to improve neuropsychopharmacotherapy, accelerate the recovery of many patients, and reduce health care costs.
Benefits and drawbacks of electronic health record systems
Nir Menachemi,Taleah H. Collum +1 more
TL;DR: The potential benefits of EHRs that include clinical outcomes, organizational outcomes, financial and operational benefits, and societal outcomes are described, which include improved ability to conduct research, improved population health, reduced costs.
AGNP Consensus Guidelines for Therapeutic Drug Monitoring in Psychiatry: Update 2011
Christoph Hiemke,Pierre Baumann,Niels Bergemann,Andreas Conca,Otto Dietmaier,Karin Egberts,Miriam Fric,Manfred Gerlach,Christine Greiner,Gerhard Gründer,E Haen,Ursula Havemann-Reinecke,E. Jaquenoud Sirot,H. Kirchherr,Gerd Laux,U. C. Lutz,Thomas Messer,Matthias J. Müller,Bruno Pfuhlmann,Bernhard Rambeck,P. Riederer,Bernd Schoppek,Julia C. Stingl,Manfred Uhr,S. Ulrich,R. Waschgler,Gerald Zernig +26 more
TL;DR: Following guidelines for TDM in psychiatry will help to improve the outcomes of psychopharmacotherapy of many patients especially in case of pharmacokinetic problems, and one should never forget that TDM is an interdisciplinary task that sometimes requires the respectful discussion of apparently discrepant data.
Medication-related Clinical Decision Support in Computerized Provider Order Entry Systems: A Review
Gilad J. Kuperman,Anne M. Bobb,Thomas H. Payne,Anthony J Avery,Tejal K. Gandhi,Gerard Burns,David C. Classen,David W. Bates +7 more
TL;DR: In this paper, the authors outline some of the challenges associated with both basic and advanced decision support and discuss how those challenges might be addressed, and provide summary recommendations for delivering effective medication-related clinical decision support addressed to healthcare organizations, application and knowledge base vendors, policy makers, and researchers.
795
References
•Book
Statistical methods for rates and proportions
Joseph L. Fleiss
- 01 Jan 1981
TL;DR: In this paper, the basic theory of Maximum Likelihood Estimation (MLE) is used to detect a difference between two different proportions of a given proportion in a single proportion.
18.4K
Joint Commission on Accreditation of Healthcare Organizations.
TL;DR: The JCAHO launched its Agenda for Change to create a more modern and sophisticated accreditation process to place primary emphasis on actual performance in 1987, including two for infection control standards.
1.7K
Effects of Computer-based Clinical Decision Support Systems on Clinician Performance and Patient Outcome: A Critical Appraisal of Research
TL;DR: This overview focuses on studies of the final and most clinically important stages of evaluation and examines controlled trials designed to measure the effects of CDSSs on clinician performance and patient outcomes.
782