Increased appropriateness of customized alert acknowledgement reasons for overridden medication alerts in a computerized provider order entry system.

OBJECTIVE: Computerized provider order entry systems commonly contain alerting mechanisms for patient allergies, incorrect doses, or drug-drug interactions when ordering medications. Providers have the option to override (bypass) these alerts and continue with the order unchanged. This study examines the effect of customizing medication alert override options on the appropriateness of override selection related to patient allergies, drug dosing, and drug-drug interactions when ordering medications in an electronic medical record. MATERIALS AND METHODS: In this prospective, randomized crossover study, providers were randomized into cohorts that required a reason for overriding a medication alert from a customized or non-customized list of override reasons and/or by free-text entry. The primary outcome was to compare override responses that appropriately correlate with the alert type between the customized and non-customized configurations. The appropriateness of a subset of free-text responses that represented an affirmative and active acknowledgement of the alert without further explanation was classified as "indeterminate." Results were analyzed in three different ways by classifying indeterminate answers as either appropriate, inappropriate, or excluded entirely. Secondary outcomes included the appropriateness of override reasons when comparing cohorts and individual providers, reason selection based on order within the override list, and the determination of the frequency of free-text use, nonsensical responses, and multiple selection responses. RESULTS: Twenty-two clinicians were randomized into 2 cohorts and a total of 1829 alerts with a required response were generated during the study period. The customized configuration had a higher rate of appropriateness when compared to the non-customized configuration regardless of how indeterminate responses were classified (p<0.001). When comparing cohorts, appropriateness was significantly higher in the customized configuration regardless of the classification of indeterminate responses (p<0.001) with one exception: when indeterminate responses were considered inappropriate for the cohort of providers that were first exposed to the non-customized list (p=0.103). Free-text use was higher in the customized configuration overall (p<0.001), and there was no difference in nonsensical response between configurations (p=0.39). CONCLUSION: There is a benefit realized by using a customized list for medication override reasons. Poor application design or configuration can negatively affect provider behavior when responding to important medication alerts.

Clinical decision support for atypical orders: detection and warning of atypical medication orders submitted to a computerized provider order entry system.

The specificity of medication-related alerts must be improved to overcome the pernicious effects of alert fatigue. A systematic comparison of new drug orders to historical orders could improve alert specificity and relevance. Using historical order data from a computerized provider order entry system, we alerted physicians to atypical orders during the prescribing of five medications: calcium, clopidogrel, heparin, magnesium, and potassium. The percentage of atypical orders placed for these five medications decreased during the 92 days the alerts were active when compared to the same period in the previous year (from 0.81% to 0.53%; p=0.015). Some atypical orders were appropriate. Fifty of the 68 atypical order alerts were over-ridden (74%). However, the over-ride rate is misleading because 28 of the atypical medication orders (41%) were changed. Atypical order alerts were relatively few, identified problems with frequencies as well as doses, and had a higher specificity than dose check alerts.

Cost analysis before and after implementation of a computerized physician order entry order form for enoxaparin.

OBJECTIVE: The authors sought to analyze the impact of a computerized physician order entry (CPOE) order form for enoxaparin sodium injection (Lovenox) to reduce the daily cost of drug therapy by switching appropriate patients to once-daily enoxaparin administration. METHODS: The study population included patients older than 18 years of age who had been treated with enoxaparin from September 1 to December 31, 2008 (the pre-order form implementation group) and from March 1 to June 30, 2009 (the post-order form implementation group). The wholesale acquisition cost was used to determine the cost of enoxaparin per day. Appropriate dosing was established by chart review. RESULTS: The post-implementation group showed a trend toward a higher cost of enoxaparin therapy per day compared with the pre-implementation group (P = 0.23). There was a non-significant increase in appropriate dosing after implementation of the order form-from 64.5% before implementation to 71.5% after implementation (P = 0.13). In the overall cohort, although the authors controlled for other factors that could influence cost, patients who received the appropriate dose per protocol were 3.2 times more likely (95% confidence interval, 1.8-5.9; P = 0.001) to have lower enoxaparin drug costs per day of therapy. CONCLUSION: The use of a CPOE enoxaparin order form did not reduce the daily cost of therapy.

Development and validation of a survey instrument for assessing prescribers' perception of computerized drug-drug interaction alerts.

OBJECTIVE: To develop a theoretically informed and empirically validated survey instrument for assessing prescribers' perception of computerized drug-drug interaction (DDI) alerts. MATERIALS AND METHODS: The survey is grounded in the unified theory of acceptance and use of technology and an adapted accident causation model. Development of the instrument was also informed by a review of the extant literature on prescribers' attitude toward computerized medication safety alerts and common prescriber-provided reasons for overriding. To refine and validate the survey, we conducted a two-stage empirical validation study consisting of a pretest with a panel of domain experts followed by a field test among all eligible prescribers at our institution. RESULTS: The resulting survey instrument contains 28 questionnaire items assessing six theoretical dimensions: performance expectancy, effort expectancy, social influence, facilitating conditions, perceived fatigue, and perceived use behavior. Satisfactory results were obtained from the field validation; however, a few potential issues were also identified. We analyzed these issues accordingly and the results led to the final survey instrument as well as usage recommendations. DISCUSSION: High override rates of computerized medication safety alerts have been a prevalent problem. They are usually caused by, or manifested in, issues of poor end user acceptance. However, standardized research tools for assessing and understanding end users' perception are currently lacking, which inhibits knowledge accumulation and consequently forgoes improvement opportunities. The survey instrument presented in this paper may help fill this methodological gap. CONCLUSION: We developed and empirically validated a survey instrument that may be useful for future research on DDI alerts and other types of computerized medication safety alerts more generally.

Developing and implementing clinical decision support for use in a computerized prescriber-order-entry system.

PURPOSE: The development and implementation of clinical decision support (CDS) in a computerized prescriber-order-entry (CPOE) system in a large, tertiary care, academic health care system are described. SUMMARY: CDS is generally considered to be a key factor in promoting successful system adoption, patient safety, and positive patient outcomes for CPOE implementation. The impact of CDS depends on the methods used by the institution to implement CPOE using both passive and active system design features. At the University of Michigan Health System, interdisciplinary project teams were assembled to plan, build, and implement the CDS component of CPOE using several underlying fundamental principles to ensure the usability and safety of the system, including standardization of system configuration, workflow design, and prioritization of the number and types of interruptive alerts that would be deployed. Passive CDS rules were established for nomenclature, links to information, relevant results, and order sets. Active CDS rules were developed for noninterruptive alerts (patient list alert flags and form-called medical logic modules) and interruptive alerts, including alerts for allergies, dose checks, drug-drug interactions, drug-food interactions, and drug-disease interactions. The institution provided sufficient staffing and institutional governance to implement and sustain CDS. CONCLUSION: Through an interdisciplinary collaboration, an academic health care system planned, designed, and implemented institution-specific, CPOE-integrated CDS to improve clinical efficiency and facilitate the compliance with regulatory policies and guidelines.

Maintaining the enterprisewide continuity and interoperability of patient allergy data.

PURPOSE: The efforts, results, and challenges of a large tertiary care, academic health care system to standardize and integrate allergy information across clinical information systems are discussed. SUMMARY: The University of Michigan Health System and its Information Technology Strategic Advisory Committee recognized the necessity for storing and maintaining allergy information in a single repository; therefore, the clinical data repository (CDR) was named as the central database for coded allergens and reactions for the University of Michigan Hospitals and Health Care Centers (UMHHC) electronic medical record. The Enterprise Allergy Project (EAP) began in June 2005 with the formation of a steering committee that included representatives from clinical departments with order-entry systems. The initial phase of the EAP consisted of several components. One component was a one-time conversion of existing free-text allergy information into coded allergens and reactions. Before the implementation of the EAP, the order-entry system only supported the entry of uncoded allergen and reaction information. An initial process of allergy matching reduced the list of un-coded allergens from 272,519 to 29,500 by using terms that indicated no allergies were present and trimming and modifying free-text strings that closely matched or easily translated to a coded allergen counterpart. Another component of the EAP consisted of the interface and technical build to support allergy information processing between the CDR and University of Michigan (UM)-Carelink. One goal of the EAP was to transfer data bidirectionally, but that goal could not safely be accomplished. CONCLUSION: Implementing a strategy for enterprise allergy integration at UMHHC has improved the quality of allergy information documented as measured by a significant decrease in the amount of uncoded allergens.

A dashboard model for monitoring alert effectiveness and bandwidth.

With the implementation of a new clinical provider order entry system (CPOE) at the University of Michigan Health System (UMHS), a clinical decision support (CDS) dashboard was created to help monitor alert effectiveness and bandwidth. Data from the first 2 months following CPOE activation demonstrated usefulness of the dashboard format in identifying areas for follow-up and target removal of nuisance-type alerts.

Intrathecal amikacin for the treatment of pseudomonal meningitis.

OBJECTIVE: To report a case of gram-negative bacillary meningitis (GNBM) secondary to multidrug-resistant Pseudomonas aeruginosa that was treated with intravenous meropenem and intrathecal and intravenous amikacin. CASE SUMMARY: A 76-year-old Arabic woman with previous placement of an extraventricular device developed meningitis secondary to P. aeruginosa as a result of a previous pneumonia. The patient was treated with intravenous meropenem and amikacin, with the addition of intrathecal amikacin, until cerebrospinal cultures remained negative for 18 days. She did not experience any adverse effects as a result of the administration of the intrathecal amikacin. Although the meningitis subsequently resolved, the patient eventually died due to Candida glabrata fungemia. DISCUSSION: Dual therapy is recommended for patients with P. aeruginosa meningitis. In our patient, the increasing resistance to imipenem and resistance to all other potential antibiotics resulted in the use of an alternative administration technique that has not been well documented in recent literature. CONCLUSIONS: In patients who have GNBM due to P. aeruginosa, the combination of intrathecal and intravenous amikacin may be an option for therapy, especially when clinical options are limited by resistance, severity of illness, and location of the infection. More information is required and further study is needed on this topic.

An insulin infusion protocol in critically ill cardiothoracic surgery patients.

BACKGROUND: Critically ill cardiothoracic patients are prone to hyperglycemia and an increased risk of surgical site infections postoperatively. Aggressive insulin treatment is required to achieve tight glycemic control (TGC) and improve outcomes. OBJECTIVE: To examine and report on the performance of an insulin infusion protocol to maintain TGC, defined as a blood glucose level of 80-150 mg/dL, in critically ill cardiothoracic surgical patients. METHODS: A nurse-driven insulin infusion protocol was developed and initiated in postoperative cardiothoracic surgical intensive care patients with or without diabetes. In this before-after cohort study, 2 periods of measurement were performed: a 6-month baseline period prior to the initiation of the insulin infusion protocol (control group, n = 174) followed by a 6-month intervention period in which the protocol was used (TGC group, n = 168). RESULTS: Findings showed percent and time of blood glucose measurements within the TGC range (control 47% vs TGC 61%; p = 0.001), AUC of glucose exposure >150 mg/dL versus time for the first 24 hours of the insulin infusion (control 28.4 vs TGC 14.8; p < 0.001), median time to blood glucose <150 mg/dL (control 9.4 h vs TGC 2.1 h; p < 0.001), and percent blood glucose <65 mg/dL as a marker for hypoglycemia (control 9.8% vs TGC 16.7%; NS). CONCLUSIONS: An insulin infusion protocol designed to achieve a goal blood glucose range of 80-150 mg/dL efficiently and significantly improved TGC in critically ill postoperative cardiothoracic surgery patients without significantly increasing the incidence of hypoglycemia.