Computerized Prescriber Order Entry Systems Research Articles

Psychometric Properties of a Machine Learning-Based Patient-Reported Outcome Measure on Medication Adherence: Single-Center, Cross-Sectional, Observational Study.

Medication adherence plays a critical role in controlling the evolution of chronic disease, as low medication adherence may lead to worse health outcomes, higher mortality, and morbidity. Assessment of their patients' medication adherence by clinicians is essential for avoiding inappropriate therapeutic intensification, associated health care expenditures, and the inappropriate inclusion of patients in time- and resource-consuming educational interventions. In both research and clinical practices the most extensively used measures of medication adherence are patient-reported outcome measures (PROMs), because of their ability to capture subjective dimensions of nonadherence. Machine learning (ML), a subfield of artificial intelligence, uses computer algorithms that automatically improve through experience. In this context, ML tools could efficiently model the complexity of and interactions between multiple patient behaviors that lead to medication adherence. This study aimed to create and validate a PROM on medication adherence interpreted using an ML approach. This cross-sectional, single-center, observational study was carried out a French teaching hospital between 2021 and 2022. Eligible patients must have had at least 1 long-term treatment, medication adherence evaluation other than a questionnaire, the ability to read or understand French, an age older than 18 years, and provided their nonopposition. Included adults responded to an initial version of the PROM composed of 11 items, each item being presented using a 4-point Likert scale. The initial set of items was obtained using a Delphi consensus process. Patients were classified as poorly, moderately, or highly adherent based on the results of a medication adherence assessment standard used in the daily practice of each outpatient unit. An ML-derived decision tree was built by combining the medication adherence status and PROM responses. Sensitivity, specificity, positive and negative predictive values (NPVs), and global accuracy of the final 5-item PROM were evaluated. We created an initial 11-item PROM with a 4-point Likert scale using the Delphi process. After item reduction, a decision tree derived from 218 patients including data obtained from the final 5-item PROM allowed patient classification into poorly, moderately, or highly adherent based on item responses. The psychometric properties were 78% (95% CI 40%-96%) sensitivity, 71% (95% CI 53%-85%) specificity, 41% (95% CI 19%-67%) positive predictive values, 93% (95% CI 74%-99%) NPV, and 70% (95% CI 55%-83%) accuracy. We developed a medication adherence tool based on ML with an excellent NPV. This could allow prioritization processes to avoid referring highly adherent patients to time- and resource-consuming interventions. The decision tree can be easily implemented in computerized prescriber order-entry systems and digital tools in smartphones. External validation of this tool in a study including a larger number of patients with diseases associated with low medication adherence is required to confirm its use in analyzing and assessing the complexity of medication adherence.

A multifaceted quality improvement intervention on venous thromboembolism prophylaxis compliance in hospitalized medical patients at a comprehensive cancer center.

Previous studies suggest that quality improvement initiatives focused on hospital-acquired venous thromboembolism have a positive impact on prescribing rates of venous thromboembolism prophylaxis, especially those that incorporate computerized changes. We conducted a quality improvement project to determine whether education and computerized prescriber order entry system changes affect venous thromboembolism prophylaxis compliance rates in hospitalized medical patients at a Comprehensive Cancer Center. Between 1 January 2021 and 31 January 2023, 37,739 non-surgical, adult patient encounters with a length of stay > 48 h were analyzed in our study. From 18 December 2021 to 8 March 2022, provider education was delivered to the three largest admitting services, and computerized prescriber order entry changes were implemented incorporating a mandatory requirement to either order venous thromboembolism prophylaxis or document a contraindication for all patients at moderate venous thromboembolism risk. Monthly venous thromboembolism prophylaxis compliance rates, as defined by the Centers for Medicare and Medicaid Services VTE-1 metric, increased from a mean of 74% to 93% after the interventions. This change was driven primarily by an increased utilization of mechanical venous thromboembolism prophylaxis from 37% to 53%. Our study demonstrated that a multi-faceted intervention incorporating provider education and computerized prescriber order entry system changes can significantly increase venous thromboembolism prophylaxis compliance rates in cancer patients.

Effects of a Computerized Prescriber Order Entry System on Pharmacist Prescribing.

In Alberta, pharmacists are eligible to obtain additional prescribing authority (APA). At the University of Alberta Hospital, a transition was made from a paper-based prescriber order entry system to a computerized prescriber order entry (CPOE) system. The primary objective was to quantify any change in pharmacist prescribing after CPOE implementation. The secondary objective was to compare the paper-based and CPOE systems in terms of drug schedule, order type, medication class, and the pharmacist's area of clinical practice. A retrospective comparative review of pharmacist orders was completed using 2-week periods of data from each of the paper-based order entry system and the CPOE system, spaced 1 year apart (in January 2019 and January 2020). Pharmacists prescribed a mean of 3.76 (95% confidence interval 1.97-5.96) more orders per day within the CPOE system than in the paper-based system (p < 0.001). Schedule I medications accounted for a higher proportion of pharmacists' prescriptions in the CPOE system than in the paper-based system (77.7% versus 70.5%, p < 0.001). In terms of order type, discontinuation orders accounted for a much higher proportion of pharmacists' orders in the CPOE system than in the paper-based order entry system (58.0% versus 19.8%, p < 0.001). This study showed that a CPOE system resulted in more use of APA by pharmacists, with schedule I medications accounting for a higher proportion of pharmacists' prescriptions. With the CPOE system, pharmacists used their prescribing privileges to discontinue a higher proportion of orders than was the case with the paper-based system. Therefore, the CPOE system is a potential facilitator of pharmacist prescribing.

How often do prescribers include indications in drug orders? Analysis of 4 million outpatient prescriptions.

To examine the extent to which outpatient clinicians currently document drug indications in prescription instructions. Free-text sigs were extracted from all outpatient prescriptions generated by the computerized prescriber order entry system of a major academic institution during a 5-year period. Natural language processing was used to identify drug indications. The data set was analyzed to determine the rates at which prescribers included indications. It was stratified by provider specialty, drug class, and specific medications, to determine how often these indications were in prescriptions for as-needed (PRN) versus non-PRN medications. During the study period, 4,356,086 prescriptions were ordered. Indications were included in 322,961 orders (7.41%). From these orders, 249,262 indications (77.18%) were written for PRN orders. Although internal medicine prescribers generated the highest number of medication orders, they included indications in only 6.26% of their prescriptions, whereas orthopedic surgery providers had the highest rate of documenting indications (33.41%). Pain was the most common indication, accounting for 30.35% of all documented indications. The drug class with the highest number of sigs-containing indications was narcotic analgesics. Non-PRN chronic medication prescriptions rarely included the indication. Prescribers rarely included drug indications in electronic free-text prescription instructions, and, when they did, it was mostly for PRN uses such as pain.

Improving the Safety and Quality of Systemic Treatment Regimens in Computerized Prescriber Order Entry Systems.

Systemic treatment (ST) computerized prescriber order entry (CPOE) and preprinted orders (PPO) are proven to reduce errors. There is no known guidance in oncology to facilitate high-quality, accurate regimen development and review; hence, this was identified as a system-wide gap. This provincial initiative aimed to improve the quality of oncology regimens through a comprehensive review of systemic treatment (ST) regimens and the development of standards. A system-wide analysis of all active regimens (both CPOE and PPO) to ensure they were built as intended was conducted in 2015. Thirty-five hospitals (on behalf of 75 treatment facilities) were asked to report any unintentional discrepancies and details of the maintenance review process. Discrepancies were compiled, categorized, and analyzed for potential to cause harm. In addition, a multidisciplinary expert working group was formed to create best practice recommendations. The review yielded a 94% response rate and took a total of 18 months to complete (70% completed within 9 months). The average number of regimens reviewed was 336 (range, 15 to 700; n = 9). Unintentional discrepancies were reported by nine hospitals (27%). A total of 369 discrepancies were reported (average, 55 per hospital), and 28 were deemed to have a moderate potential for harm. Only two hospitals (6%) had an established maintenance process; now, all have standard processes for review. Consensus-based recommendations for ST-CPOE and PPO regimen development and maintenance were developed. The review identified unintentional discrepancies and, because of the potential for patient harm, corrective action has been taken. Identified discrepancies have been amended, and standard regimen development and maintenance review processes are now implemented system-wide to improve the quality and safety of systemic treatment delivery.

Incorporating medication indications into the prescribing process.

The incorporation of medication indications into the prescribing process to improve patient safety is discussed. Currently, most prescriptions lack a key piece of information needed for safe medication use: the patient-specific drug indication. Integrating indications could pave the way for safer prescribing in multiple ways, including avoiding look-alike/sound-alike errors, facilitating selection of drugs of choice, aiding in communication among the healthcare team, bolstering patient understanding and adherence, and organizing medication lists to facilitate medication reconciliation. Although strongly supported by pharmacists, multiple prior attempts to encourage prescribers to include the indication on prescriptions have not been successful. We convened 6 expert panels to consult high-level stakeholders on system design considerations and requirements necessary for building and implementing an indications-based computerized prescriber order-entry (CPOE) system. We summarize our findings from the 6 expert stakeholder panels, including rationale, literature findings, potential benefits, and challenges of incorporating indications into the prescribing process. Based on this stakeholder input, design requirements for a new CPOE interface and workflow have been identified. The emergence of universal electronic prescribing and content knowledge vendors has laid the groundwork for incorporating indications into the CPOE prescribing process. As medication prescribing moves in the direction of inclusion of the indication, it is imperative to design CPOE systems to efficiently and effectively incorporate indications into prescriber workflows and optimize ways this can best be accomplished.

Implementation of an integrated computerized prescriber order-entry system for chemotherapy in a multisite safety-net health system.

The development of a computerized prescriber order-entry (CPOE) system for chemotherapy in a multisite safety-net health system and the challenges to its successful implementation are described. Before CPOE for chemotherapy was first implemented and embedded in the electronic medical record system of Harris Health System (HHS), pharmacy personnel relied on regimen-specific preprinted order sets. However, due to differences in practice styles and workflow logistics, the paper orders across the 3 facilities were mostly site specific, with varying clinical content. Many of these order sets had not been approved by the oncology subcommittee. In addition, disparities in clinical knowledge and lack of communication contributed to inconsistencies in order set development. Led by medical directors from medical oncology departments at the 3 facilities, pharmacy administrators, and information technology representatives, HHS committed resources to supporting the adoption and use of a CPOE system for chemotherapy. Five practical lessons of broad applicability have been learned: engagement of interprofessional stakeholders, optimization of workflow before CPOE implementation, requirement of verification tool for CPOE, consolidation of protocols, and commitment to ongoing training and support. Evaluation of the CPOE system demonstrated a systemwide reduction in medication errors by 75% (p < 0.05). Satisfaction with the CPOE system varied among sites and was unchanged institutionwide 6 months after the CPOE implementation. The development and implementation of CPOE for chemotherapy at a multisite safety-net health system created opportunities to optimize patient care and reduce variations through interprofessional collaborations. Initial evaluation suggested that CPOE reduced the medication-order error rate and improved user satisfaction in 1 of 3 facilities.

Prevalence of Unrounded Medication Doses and Associated Factors Among Hospitalized Pediatric Patients.

This study aims to determine the prevalence and factors associated with unrounded doses ordered via a computerized prescriber order entry (CPOE) system among children during a 1-week reference period. This retrospective, cross-sectional study included children younger than 18 years admitted during a 7-day period. An unrounded dose was defined as an unrounded actual dose (eg, dose calculated to the tenths place for non-neonatal intensive care (non-NICU) patients and dose calculated to the hundredth place for NICU patients) or unrounded volume per dose [eg, <0.1 mL for non-NICU patients and <0.01 mL for NICU patients]. A multilevel logistic regression model was used to determine the prevalence and factors associated with unrounded doses via a CPOE system with adjustment for clustering effects. A total of 395 patients were admitted with 391 receiving medications. The overall prevalence of unrounded doses was 30% among the 2426 doses administered. Patients on the NICU team had the highest prevalence of unrounded doses. The odds of an unrounded dose were 4% (adjusted odds ratio, 0.96; 95% confidence interval, 0.94-0.98) lower with each additional kilogram increase in weight after controlling for age, route, scheduled versus as-needed administration, and cluster effects. The prevalence of unrounded doses was higher than in previous studies. It was higher in smaller children after controlling for age, medication-related variables, and clustering. Future studies should focus on the role of CPOE in preventing unrounded and unmeasurable doses and if these strategies affect clinical outcomes (eg, adverse drug events).

Analysis of variations in the display of drug names in computerized prescriber-order-entry systems.

The variations in how drug names are displayed in computerized prescriber-order-entry (CPOE) systems were analyzed to determine their contribution to potential medication errors. A diverse set of 10 inpatient and outpatient CPOE system vendors and self-developed CPOE systems in 6 U.S. healthcare institutions was evaluated. A team of pharmacists, physicians, patient-safety experts, and informatics experts created a CPOE assessment tool to standardize the assessment of CPOE features across the systems studied. Hypothetical scenarios were conducted with test patients to study the medication ordering workflow and ways in which medications were displayed in each system. Brand versus generic drug name ordering was studied at 1 large outpatient system to understand why prescribers ordered both brand and generic forms of the same drug. Widespread variations in the display of drug names were observed both within and across the 6 study sites and 10 systems, including the inconsistent display of brand and generic names. Some displayed drugs differently even on the same screen. Combination products were often displayed inconsistently, and some systems required prescribers to know the first drug listed in the combination in order for the correct product to appear in a search. It also appeared that prescribers may have prescribed both brand and generic forms of the same medication, creating the potential for drug duplication errors. A review of 10 CPOE systems revealed that medication names were displayed inconsistently, which can result in confusion or errors in reviewing, selecting, and ordering medications.

Bringing provincial improvements to oral chemotherapy prescribing through co-ordinated regional initiatives.

107 Background: Oral chemotherapy delivery is complex, making safe medication practices a high priority. Cancer Care Ontario, the provincial government agency responsible for continually improving cancer services in Ontario, undertook a jurisdiction-wide quality improvement initiative to ensure that all oral chemotherapy drugs are prescribed using Computerized Prescriber Order Entry (CPOE) or standardized Pre-printed Orders (PPO). The initiative was further enabled by changes to the provincial funding approach that flows facility funding for oral chemotherapy delivery. Methods: All 35 facilities prescribing chemotherapy in Ontario across 14 regions implemented strategies to work towards the common aim of reducing handwritten/verbal oral chemotherapy prescribing to zero by June 30th, 2015. Baseline audits were completed between Sept-Nov 2014; repeat audits were performed between Mar-May 2015. Each facility reported the number of patients that received an oral chemotherapy prescription, and the method of prescribing. Results: At baseline, 30% of audited prescriptions across the province were handwritten or verbal, which decreased to 9% by June 2015. Improvements were seen in thirteen of the 14 regions. Thirteen out of 35 facilities met the aim of 0 handwritten/verbal orders, with an additional 16 facilities seeing an improvement. Alignment with funding mechanisms, an early physician engagement strategy, and education of key stakeholders on CPOE systems were identified as key enablers to implementation. Conclusions: Though the goal of zero handwritten/verbal prescriptions was not met by all facilities, the initiative encouraged a change in implementing safe prescribing practices for oral chemotherapy. Further audits will assess that the gain was sustained and that the provincial goal is achieved. This initiative is part of a larger strategy to standardize care for systemic treatment patients and promote a culture of safety in hospitals. [Table: see text]

Nonformulary medications can throw a wrench into your CPOE system

Nonformulary medications can throw a wrench into your CPOE system

Development of an algorithm to assess appropriateness of overriding alerts for nonformulary medications in a computerized prescriber-order-entry system.

An algorithm for assessing the appropriateness of physician overrides of clinical decision support alerts triggered by nonformulary medication (NFM) requests is described. Data on a random sample of 5000 NFM alert overrides at Brigham and Women's Hospital over a four-year period (2009-12) were extracted from the hospital's computerized prescriber-order-entry (CPOE) system. Through an iterative process, a scheme for categorizing the reasons given by prescribers for alert overrides was developed. A pharmacist and a physician used the categorization scheme to classify and group alert override reasons, and the resultant data guided the development of an algorithm for assessing alert overrides. In free-text comments written in response to NFM alerts, prescribers provided more than 1150 unique reasons to justify formulary deviation. The compiled reasons were analyzed and grouped into nine categories through the iterative process, with a high degree of interrater agreement (κ = 0.989; 95% confidence interval, 0.985-0.992). An initially developed 30-item "NFM alert override appropriateness algorithm" was simplified to create an 8-question algorithm that was presented to an interdisciplinary team for evaluation, with subsequent refinements for enhanced clinical creditability. The final algorithm can be used by researchers and formulary managers to develop strategies for limiting NFM alert overrides and to avoid the labor-intensive task of creating appropriateness criteria for each NFM. A multistep process was used to develop a generalized algorithm for categorizing the appropriateness of reasons given for NFM alert overrides in a CPOE system.

The Impact of Pharmacist Led Vancomycin Order Set Implementation in a Computerized-Prescriber-Order-Entry (CPOE) System at a Tertiary Care Centre: A Quasi Experimental Study

Introduction: Our hospital has developed a vancomycin protocol in order to improve vancomycin dosing and prevent improper sampling time of vancomycin levels and treatment failure. The study objective is to evaluate the impact of implementing a vancomycin order set integrated into a Computerized-Prescriber-Order-Entry (CPOE) system by pharmacist in adult surgical wards to optimize vancomycin dosing and monitoring. Primary objective: Evaluation of the correct sampling time of vancomycin trough levels by implementing a vancomycin order set guiding nurses and physicians on the appropriate sampling time. Secondary objectives: Evaluation of the impact of vancomycin order set integrated into CPOE system on vancomycin initial doses, appropriate use based on indication and time to reach target therapeutic level. Method: This study was a prospective quasi-experimental study. Patients who are >18 years, admitted to surgical wards, receiving new vancomycin orders, creatinine clearance ≥15 ml/min and weighing 40-120 kg were eligible. We excluded patients receiving vancomycin loading doses, prophylaxis, treatment course <5 days and random or peak vancomycin levels. Educational sessions were provided to the surgical residents on the use the order set by pharmacy resident, subsequently vancomycin orders were then reassessed after the order set implementation. Results: Total of 272 vancomycin trough levels were collected (136 levels in the pre-phase and 136 levels in the post-implementation phase) from 33 patients who met the study eligibility criteria. A 10% reduction in inappropriate vancomycin trough levels in the post-implementation phase was observed compared to the pre-phase (p=0.478) Appropriate vancomycin initial doses for the study patients were 2 out of 11 doses (18%) in the pre-phase and 22 doses in the post-phase (50%) (p=0.078). Conclusion: The implementation of an institutional vancomycin order set did not result in a significant change in appropriate vancomycin initial dosing and trough level sampling time in the adult surgical wards in our hospital.

Implementation of a custom alert to prevent medication-timing errors associated with computerized prescriber order entry.

The implementation of a custom alert to prevent medication-timing errors associated with the use of a computerized prescriber order-entry (CPOE) system is described. In early 2013, Virginia Mason Medical Center began work to modify the CPOE system to make it impossible for a medication-timing error to occur. A visual control, a custom alert that forced prescribers to "self-inspect with pause" (a soft-stop override) before signing an order that may result in a medication-timing error, was developed. The prescriber could choose to modify the order to skip the next dose or change the start date or time of the order, cancel the order, or continue without altering the order. The custom alert was designed to fire only for medications that are administered once or twice daily. The effectiveness of the intervention was evaluated with interrupted time series before-and-after analysis of medication-timing errors. Outcomes measured included the proportion of errors that were corrected by the prescriber before signing the order and the number of medication-timing errors that reached patients. The proportion of orders where a prescriber modified the order as a result of the alert increased from 12% before the intervention to 29% postintervention (p > 0.001), and this percentage continued to increase at five months postintervention (p < 0.001). The percentage of medication-timing errors that reached the patient decreased by 50% in the postintervention period. Medication-timing errors associated with the use of a CPOE system were corrected through implementation of a customized alert.

Decision support at the point of prescribing to increase formulary adherence.

Study results demonstrating the effectiveness of order-entry clinical decision support (CDS) alerts as a tool for enforcing therapeutic interchange are presented. A retrospective observational study was conducted at an academic medical center to evaluate formulary nonadherence before and after implementation of a fully electronic medical record with computerized prescriber order-entry (CPOE) technology configured to display therapeutic interchange alerts immediately on entry of orders for nonformulary agents. Formulary nonadherence (defined as the proportion of pharmacist-verified nonformulary orders to total verified orders) within eight medication classes was assessed during a six-month baseline period and two consecutive six-month periods after implementation. In the 12 months after implementation of the therapeutic interchange alerts, the overall rate of formulary nonadherence decreased by 65%, from 3.5% at baseline to 1.2% during the second 6-month postintervention period (p < 0.001). The total number of verified nonformulary orders decreased from 300 at baseline to 102 during the second postintervention period. The largest decreases in formulary nonadherence were observed in the intranasal steroid drug class (the rate of nonadherent orders declined by a total of 12 percentage points) and the nonbarbiturate sedatives and hypnotics class (a 5-point decline), with significant 6- and 12-month declines also documented in four of the remaining six drug classes. The incorporation of hard-stop CDS alerts into the CPOE system improved the overall rate of prescriber adherence to institutional therapeutic interchange protocols.

Effect of computerized prescriber order entry on pharmacy: experience of one health system.

Pharmacists' satisfaction with a computerized prescriber order-entry (CPOE) system and the impact of CPOE on pharmacy workflows and order verification were investigated. A mixed-method study was conducted to evaluate the implementation of a CPOE system in three hospitals of a large Michigan-based health system and early user experience with the system. Surveys of pharmacists before (n = 54) and after (n = 42) CPOE implementation indicated that they held generally positive expectations about CPOE prior to and during system implementation and continued to hold positive views about CPOE after several months of system use. In interviews and focus group discussions, pharmacists reported a number of important CPOE benefits, but they also cited challenges related to CPOE provider alerts, uncertainty about medication timing, and the need to support providers by serving as informal CPOE system trainers. Direct observation of pharmacists before and after CPOE implementation indicated decreases in both the rate of order clarification events (from 0.89 to 0.35 per hour, p < 0.001) and the average time spent per hour clarifying orders (from 4.75 to 2.11 minutes, p = 0.008). Several months after CPOE implementation, pharmacists indicated that several aspects of their workload had improved, including the process of medication order clarification, their ability to prioritize work, and their ability to move around within the hospital to respond to demand. However, pharmacists also noted that order ambiguity still existed and that the system needed to be optimized to gain efficiencies and increase clarity.

Systemic Treatment Safety Symposium 2014: Oral Chemotherapy

The second Systemic Treatment Safety Symposium, which took place February 21, 2014, in Toronto, aimed to identify opportunities for improving the delivery of systemic cancer treatment in Ontario based on regional needs, while providing a venue for collaboration and knowledgesharing. The agenda included a series of panel sessions followed by discussions, presentations of regional improvement projects and results, and breakout sessions. Based on the discussion that took place at the symposium, a provincial goal of zero handwritten or verbal oral chemotherapy orders by June 30, 2015, has now been established, and regions will be provided with funding for safe prescribing initiatives to support achievement of that aim. Building on the lessons learned from the 2014 System Treatment Safety Symposium, a common measurement strategy will be identified, and Cancer Care Ontario (cco) will also support the work by identifying the recommended key elements of a safe oral chemotherapy prescription. Additionally, cco will identify areas for improving systemic treatment computerized prescriber order entry systems to better enable prescribing of oral agents within such systems. Among the most prominent of the lessons learned during the symposium was the importance of having a focused topic (such as oral chemotherapy) while maintaining a province-wide scope. Another significant takeaway was that attendees appreciate the opportunity to hear from colleagues across the province about the work underway in various regions. Future safety symposia will also explore opportunities for enhanced engagement with participants through greater use of technology.

Impact of Clinical Decision Support Guidelines on Therapeutic Drug Monitoring of Gentamicin in Newborns

Our institution's gentamicin dosing and therapeutic drug monitoring (TDM) practices for newborns were suspected to be very heterogeneous. Once-daily dosing (ODD) or extended-interval dosing (EID) and trough concentration measurement were recommended. Clinical decision support guidelines were developed and implemented as clinical decision support in the computerized prescriber order entry system. Impact on dosing, TDM practices, and blood sampling were evaluated. A 1-year retrospective historically controlled study before (April 2008-March 2009) and after the implementation of guidelines (January 2010-December 2010) for newborns (<30 days of life) receiving gentamicin. Blood concentrations (% of peak concentrations sampled, % of patients with zero or one concentration sampled, % of trough concentrations ≤1 mg/L) and dose regimen (ODD/EID) were compared between groups. Factors potentially associated with gentamicin concentration were analyzed (multivariate analysis). One hundred thirty-two (postguidelines) versus 102 (preguidelines) patients were included (median gestational age: 34.3 versus 35.8 weeks, P > 0.05). After implementation of the guidelines, an ODD/EID regimen was almost exclusively used (97.7% versus 61.6%, P < 0.001), the percentage of peak concentrations (0.9% versus 17.2%, P < 0.001) and the number of blood samples per patient (87.1% having 0 or 1 concentration measured versus 48.0, P < 0.001) sharply reduced. A significantly higher percentage of trough concentrations were ≤1 mg/L (68.5% versus 33.0%, P < 0.001). The probability of a trough concentration ≤1 mg/L increased with an ODD/EID regimen (odds ratio, 7.23; 95% confidence interval: 3.48-15.0, P < 0.001) and in the postguidelines group (odds ratio, 2.02; 95% confidence interval: 1.01-4.02, P = 0.045). Guideline implementation generated a sharp reduction in blood sampling. Clinical benefits of better gentamicin dosing and TDM practices were evident. Cost-effectiveness and clinical benefit of reduced blood sampling should be evaluated.

Core Drug-Drug Interaction Alerts for Inclusion in Pediatric Electronic Health Records With Computerized Prescriber Order Entry

The study aims to develop a core set of pediatric drug-drug interaction (DDI) pairs for which electronic alerts should be presented to prescribers during the ordering process. A clinical decision support working group composed of Children's Hospital Association (CHA) members was developed. CHA Pharmacists and Chief Medical Information Officers participated. Consensus was reached on a core set of 19 DDI pairs that should be presented to pediatric prescribers during the order process. We have provided a core list of 19 high value drug pairs for electronic drug-drug interaction alerts to be recommended for inclusion as high value alerts in prescriber order entry software used with a pediatric patient population. We believe this list represents the most important pediatric drug interactions for practical implementation within computerized prescriber order entry systems.

Informatics: Catching the Next Wave in Pharmacy Education

Informatics: Catching the Next Wave in Pharmacy Education