Reducing Prescribing Errors in Hospitalized Children on the Ketogenic Diet.

BACKGROUND: Children on the ketogenic diet must limit carbohydrate intake to maintain ketosis and reduce seizure burden. Patients on ketogenic diet are vulnerable to harm in the hospital setting where carbohydrate-containing medications are commonly prescribed. We developed clinical decision support to reduce inappropriate prescription of carbohydrate-containing medications in hospitalized children on ketogenic diet. METHODS: A clinical decision support alert was developed through formative and summative usability testing. The alert warned prescribers when they entered an order for a carbohydrate-containing medication in patients on ketogenic diet. The alert was implemented using a quasi-experimental design with sequential crossover from control to intervention at two tertiary care pediatric hospitals within a single health system. The primary outcome was carbohydrate-containing medication orders per patient-day. RESULTS: During the study period, there were 280 ketogenic diet patient admissions totaling 1219 patient-days. The carbohydrate-containing medication order rate declined from 0.69 to 0.35 orders per patient-day (absolute rate reduction 0.34, 95% confidence interval 0.25-0.43), corresponding to 256 inappropriate orders prevented. The alert fired 398 times and was accepted (i.e., the order was removed) 227 times for an overall acceptance rate of 57%. CONCLUSIONS: Implementation of a clinical decision support alert at order-entry resulted in a sustained reduction in carbohydrate-containing medication orders for hospitalized patients on ketogenic diet without an increase in alert burden. Clinical decision support developed with user-centered design principles can improve patient safety for children on ketogenic diet by influencing prescriber behavior.

A Clinical Reminder Order Check Intervention to Improve Guideline-concordant Imaging Practices for Men With Prostate Cancer: A Pilot Study.

OBJECTIVE: To understand how to potentially improve inappropriate prostate cancer imaging rates we used National Comprehensive Cancer Network's guidelines to design and implement a Clinical Reminder Order Check (CROC) that alerts ordering providers of potentially inappropriate imaging orders in real-time based on patient features of men diagnosed with low-risk prostate cancer. METHODS: We implemented the CROC at VA New York Harbor Healthcare System from April 2, 2015 to November 15, 2017. We then used VA administrative claims from the VA's Corporate Data Warehouse to analyze imaging rates among men with low-risk prostate cancer at VA New York Harbor Healthcare System before and after CROC implementation. We also collected and cataloged provider responses in response to overriding the CROC in qualitative analysis. RESULTS FIFTY SEVEN PERCENT: (117/205) of Veterans before CROC installation and 73% (61/83) of Veterans post-intervention with low-risk prostate cancer received guideline-concordant care. CONCLUSION: While the decrease in inappropriate imaging during our study window was almost certainly due to many factors, a Computerized Patient Record System-based CROC intervention is likely associated with at least moderate improvement in guideline-concordant imaging practices for Veterans with low-risk prostate cancer.

Implementation of order sets for opioid alternatives in community hospital emergency departments.

PURPOSE: The design and implementation of alternatives to opioids (ALTO) order sets for the treatment of acute pain in a community health system's emergency departments are described. SUMMARY: Healthcare institutions nationwide have incorporated policies and procedures to assist prescribers in the safe and effective management of pain. These adopted approaches may be targeted at mitigating opioid prescribing as well as promoting the optimization of nonopioid analgesics. Institutions that enact innovations and track outcomes may be eligible for reimbursement through the Centers for Medicare and Medicaid Services' Merit-based Incentive Payment System. Emergency departments may monitor implementation progress and outcomes through participation in the American College of Emergency Physician's Emergency Quality Network. Clinical pharmacists were tasked with assisting an institution's emergency departments to create and implement two order sets containing ALTO analgesics and supportive medications for atraumatic headache and general acute pain management. Key steps of order set implementation included collaborative development with emergency department providers, implementation with information services, and the development of provider-focused education by project pharmacists. The implementation of ALTO order sets has set the foundation for expansion of pain control protocols and algorithms within our institution. Furthermore, the approach detailed in this article can be adapted and implemented by other healthcare systems to help reduce opioid prescribing. CONCLUSION: The implementation of ALTO order sets within an electronic health record can encourage decreased prescribing of opioids for the treatment of acute pain, promote and optimize dosing of nonopioid analgesics, and may augment reimbursement for services in the emergency department.

[Telemonitoring in continuous positive airway pressure-treated patients with obstructive sleep apnoea syndrome: An algorithm proposal]. / Télésuivi des patients traités par pression positive continue pour un syndrome d'apnées/hypopnées obstructives du sommeil : proposition d'un arbre décisionnel.

Most of the continuous positive airway pressure (CPAP) devices currently in use allow telemonitoring of observance, leaks and the apnoea-hypopnoea index (AHI). La Société française de recherche et de médecine du sommeil (SFRMS) and La Société de pneumologie de langue française (SPLF) workgroup offer to CPAP prescribers and to home care providers a scientific document which has the following purposes: to underline the relevance of the telemonitoring of leaks and the AHI, to define alert thresholds, to describe the principal mechanisms generating excessive leaks and high AHI, and to propose a diagnostic algorithm.

National Trends in the Safety Performance of Electronic Health Record Systems From 2009 to 2018.

Importance: Despite the broad adoption of electronic health record (EHR) systems across the continuum of care, safety problems persist. Objective: To measure the safety performance of operational EHRs in hospitals across the country during a 10-year period. Design, Setting, and Participants: This case series included all US adult hospitals nationwide that used the National Quality Forum Health IT Safety Measure EHR computerized physician order entry safety test administered by the Leapfrog Group between 2009 and 2018. Data were analyzed from July 1, 2018 to December 1, 2019. Exposure: The Health IT Safety Measure test, which uses simulated medication orders that have either injured or killed patients previously to evaluate how well hospital EHRs could identify medication errors with potential for patient harm. Main Outcomes and Measures: Descriptive statistics for performance on the assessment test over time were calculated at the overall test score level, type of decision support category level, and EHR vendor level. Results: Among 8657 hospital-years observed during the study, mean (SD) scores on the overall test increased from 53.9% (18.3%) in 2009 to 65.6% (15.4%) in 2018. Mean (SD) hospital score for the categories representing basic clinical decision support increased from 69.8% (20.8%) in 2009 to 85.6% (14.9%) in 2018. For the categories representing advanced clinical decision support, the mean (SD) score increased from 29.6% (22.4%) in 2009 to 46.1% (21.6%) in 2018. There was considerable variation in test performance by EHR. Conclusions and Relevance: These findings suggest that despite broad adoption and optimization of EHR systems in hospitals, wide variation in the safety performance of operational EHR systems remains across a large sample of hospitals and EHR vendors. Hospitals using some EHR vendors had significantly higher test scores. Overall, substantial safety risk persists in current hospital EHR systems.

Evaluation of clinician interaction with alerts to enhance performance of the tele-critical care medical environment.

OBJECTIVE: Identify opportunities to improve the interaction between clinicians and Tele-Critical Care (Tele-CC) programs through an analysis of alert occurrence and reactivation in a specific Tele-CC application. MATERIALS AND METHODS: Data were collected automatically through the Philips eCaremanager® software system used at multiple hospitals in the Avera health system. We evaluated the distribution of alerts per patient, frequency of alert types, time between consecutive alerts, and Tele-CC clinician choice of alert reactivation times. RESULTS: Each patient generated an average of 79.8 alerts during their ICU stay (median 31.0; 25th - 75th percentile 10.0-89.0) with 46.4 for blood pressure and 38.4 for oxygenation. The most frequent alerts for continuous physiological parameters were: MAP limit (28.9 %), O2/RR (26.4 %), MAP trend (16.5 %), HR trend (12.1 %), and HR limit (11.3 %). The median time between consecutive alerts for one parameter was less than 10 min for 86 % of patients. Tele-CC providers responded to all alert types with immediate reactivation 47-88 % of the time. Limit alerts had longer reactivation times than their trend alert counterparts (p-value < .001). CONCLUSIONS: The alert type specific differences in frequency, time occurrence and provider choice of reactivation time provide insight into how clinicians interact with the Tele-CC system. Systems engineering enhancements to Tele-CC software algorithms may reduce alert burden and thereby decrease clinicians' cognitive workload for alert assessment. Further study of Tele-CC alert generation, alert presentation to clinicians, and the clinicians' options to respond to these alerts may reduce provider workload, minimize alert desensitization, and optimize the ability of Tele-CC clinicians to provide efficient and timely critical care management.

The Influence of an Electronic Medical Record Embedded Best Practice Alert on Rate of Hospital Acquired Catheter Associated Urinary Tract Infections: Do Best Practice Alerts Reduce CAUTIs?

OBJECTIVE: To understand if an electronic medical record embedded best practice alert decreased our hospital's Catheter-associated urinary tract infections (CAUTIs) and catheter utilization (CU) rates. METHODS: Data from our inpatient prospective CAUTI database, spanning 2011 to 2016, were utilized for our analysis with the Best Practice Alert (BPA) starting in 2013. Using generalized linear models we compared the CU and CAUTI rates between pre- and post-BPA periods in different patient subpopulations. RESULTS: We identified no decrease in the CU rate and no effect on the CAUTI rates as a result of the BPA. However, there was an increase in CAUTI rates in our adult intensive care unit (ICU) population from 0.2 to 1.8 CAUTIs per 1,000 catheter days (P <.01) despite a significant decrease in CU rate within this population after the BPA (pre-BPA odds ratio [OR] 0.93 vs post-BPA OR 0.89; P <0.01). In contrast, our non-ICU adult population had a decrease in CAUTI rate from 2.8 to 1.7 CAUTIs per 1,000 catheter days (P <.01) despite no significant decrease after the BPA (pre-BPA OR 0.90 vs post-BPA OR 0.95; P <.1). CONCLUSION: CAUTI rates are exceedingly low, with or without the use of a BPA. Such an alert appears to have limited success in lowering CU rates in populations where catheter use is already low and may not always lead to an improvement in CAUTI rates as there appears to be some populations that may be more prone to CAUTI development secondary to possible intrinsic or co-morbid conditions.

A Late Attempt to Involve End Users in the Design of Medication-Related Alerts: Survey Study.

BACKGROUND: When users of electronic medical records (EMRs) are presented with large numbers of irrelevant computerized alerts, they experience alert fatigue, begin to ignore alert information, and override alerts without processing or heeding alert recommendations. Anecdotally, doctors at our study site were dissatisfied with the medication-related alerts being generated, both in terms of volume being experienced and clinical relevance. OBJECTIVE: This study aimed to involve end users in the redesign of medication-related alerts in a hospital EMR, 4 years post implementation. METHODS: This work was undertaken at a private not-for-profit teaching hospital in Sydney, Australia. Since EMR implementation in 2015, the organization elected to implement all medication-related alert types available in the system for prescribers: allergy and intolerance alerts, therapeutic duplication alerts, pregnancy alerts, and drug-drug interaction alerts. The EMR included no medication administration alerts for nurses. To obtain feedback on current alerts and suggestions for redesign, a Web-based survey was distributed to all doctors and nurses at the site via hospital mailing lists. RESULTS: Despite a general dissatisfaction with alerts, very few end users completed the survey. In total, only 3.37% (36/1066) of doctors and 14.5% (60/411) of nurses took part. Approximately 90% (30/33) of doctors who responded held the view that too many alerts were triggered in the EMR. Doctors suggested that most alerts be removed and that alerts be more specific and less sensitive. In contrast, 97% (58/60) of the nurse respondents indicated that they would like to receive medication administration alerts in the EMR. Most nurses indicated that they would like to receive all the alert types available at all severity levels. CONCLUSIONS: Attempting to engage with end users several years post implementation was challenging. Involving users so late in the implementation process may lead to clinicians viewing the provision of feedback to be futile. Seeking user feedback on usefulness, volume, and design of alerts is extremely valuable; however, we suggest this is undertaken early, preferably before system implementation.

Assessment of a Best Practice Alert and Referral Process for Preprocedure Antithrombotic Medication Management for Patients Undergoing Gastrointestinal Endoscopic Procedures.

Importance: Management of antithrombotic medications presents a challenge for many clinicians and patients before procedures. Anticoagulation clinic involvement may improve preprocedure coordination, satisfaction on the part of patients and clinicians, last-minute procedure cancellations, and patient safety. Objective: To assess the implementation of an electronic medical record (EMR) best practice alert (BPA) and anticoagulation clinic referral process to assist with management of antithrombotic medication before gastrointestinal endoscopic procedures. Design, Setting, and Participants: This multimodal evaluation of a quality improvement intervention using EMRs and survey data included patients using oral antithrombotic medications who were scheduled for elective gastrointestinal endoscopic procedures at an academic medical center along with the clinicians who ordered these procedures. Data were collected from November 1, 2017, through December 19, 2018. Data were analyzed in September 2019. Exposures: Following a multidisciplinary intervention, a BPA and referral process for periprocedural antithrombotic medication management was implemented in November 2017. Main Outcomes and Measures: The following implementation outcomes were assessed through EMR review and surveys through December 2018: use of BPAs, patient and clinician satisfaction with preprocedure anticoagulation management, procedure cancelation rates, reach, and spread by patient and clinician characteristics. Multilevel logistic regression was used to estimate variance in BPA use at the clinician level. Results: A total of 2082 patients (mean [SD] age, 64.1 [11.9] years) and 144 clinicians were included in the analysis. The BPA was used broadly across the health system, resulting in anticoagulation clinic referral for 1389 patients (66.7%). Referral was more common for patients using anticoagulant vs antiplatelet medications (1041 of 1524 [68.3%] vs 346 of 556 [62.2%]; adjusted odds ratio [aOR], 1.51; 95% CI, 1.15-1.98) and for procedures ordered by gastroenterologists vs primary care clinicians (933 of 1241 [75.2%] vs 365 of 618 [59.1%]; aOR, 2.15; 95% CI, 1.46-3.17). Individual clinician behavior patterns explained 26.5% (95% CI, 18.7%-36.1%) of variation in anticoagulation clinic referrals. Implementation of the intervention was associated with high patient satisfaction and improvements in multidimensional measures of clinician satisfaction (clinician response rate, 44.2% [144 of 326]). In multivariable analysis, the odds of altered or canceled procedures because of medication mismanagement declined after implementation (8 of 50 [16.0%] vs 1 of 52 [1.9%]; aOR, 0.11; 95% CI, 0.01-0.96; P = .02). Conclusions and Relevance: A newly implemented BPA and anticoagulation clinic referral process was broadly adopted and used, had high satisfaction by patients and clinicians, and was associated with fewer disruptions to planned procedures caused by medication mismanagement.

Reducing Interruptive Alert Burden Using Quality Improvement Methodology.

BACKGROUND: Increased adoption of electronic health records (EHR) with integrated clinical decision support (CDS) systems has reduced some sources of error but has led to unintended consequences including alert fatigue. The "pop-up" or interruptive alert is often employed as it requires providers to acknowledge receipt of an alert by taking an action despite the potential negative effects of workflow interruption. We noted a persistent upward trend of interruptive alerts at our institution and increasing requests for new interruptive alerts. OBJECTIVES: Using Institute for Healthcare Improvement (IHI) quality improvement (QI) methodology, the primary objective was to reduce the total volume of interruptive alerts received by providers. METHODS: We created an interactive dashboard for baseline alert data and to monitor frequency and outcomes of alerts as well as to prioritize interventions. A key driver diagram was developed with a specific aim to decrease the number of interruptive alerts from a baseline of 7,250 to 4,700 per week (35%) over 6 months. Interventions focused on the following key drivers: appropriate alert display within workflow, clear alert content, alert governance and standardization, user feedback regarding overrides, and respect for user knowledge. RESULTS: A total of 25 unique alerts accounted for 90% of the total interruptive alert volume. By focusing on these 25 alerts, we reduced interruptive alerts from 7,250 to 4,400 per week. CONCLUSION: Systematic and structured improvements to interruptive alerts can lead to overall reduced interruptive alert burden. Using QI methods to prioritize our interventions allowed us to maximize our impact. Further evaluation should be done on the effects of reduced interruptive alerts on patient care outcomes, usability heuristics on cognitive burden, and direct feedback mechanisms on alert utility.

Reducing pediatric asthma hospital length of stay through evidence-based quality improvement and deployment of computerized provider order entry.

Objective: Evaluate the impact of multi-component quality improvement for pediatric asthma care focusing on serial use of an evidence-based clinical pathway via paper order sets, pathway integration into computerized provider order entry (CPOE), use of a clinical respiratory score (CRS) and a discharge checklist. Methods: Outcomes were assessed over three intervention periods and 50 months on: time to beta-agonist and steroid first administration, frequency of readmissions and hospital length of stay. A general linear model estimated mean log(LOS) over time and between study periods. Time to discharge was transformed using the natural logarithm. Results: No improvements in time to first beta-agonist or steroid administration were observed. There was a reduction in 100-day readmissions (p = 0.008): decreasing from 7.4 to 2.1% after introduction of paper order sets and CRS (adjusted p = 0.04); to 3.9% after CPOE implementation (adjusted p = 0.53) and to 2.2% when a discharge checklist was added (adjusted p = 0.01). There was a statistically significant reduction in LOS between study periods (p = 0.015). The geometric mean LOS in hours during study periods 1-4 were: 34.8 (95% CI: 32.2, 37.6), 29.3 (95% CI: 27.5, 31.3), 29.0 (95% CI: 27.0, 31.3) and 23.1 (95% CI: 22.1, 24.2). Pair-wise comparisons between periods were statistically significant (adjusted p ≤ 0.003), except for Periods 2 and 3 (adjusted p = 0.83). Conclusions: Hospital length of stay and 100-day readmissions rate in a predominantly Hispanic, Medicaid patient population were reduced by utilization of an evidence-based best practices asthma management pathway and CRS within CPOE, combined with a checklist to expedite discharge.

Assessing the safety of electronic health records: a national longitudinal study of medication-related decision support.

BACKGROUND: Electronic health records (EHR) can improve safety via computerised physician order entry with clinical decision support, designed in part to alert providers and prevent potential adverse drug events at entry and before they reach the patient. However, early evidence suggested performance at preventing adverse drug events was mixed. METHODS: We used data from a national, longitudinal sample of 1527 hospitals in the USA from 2009 to 2016 who took a safety performance assessment test using simulated medication orders to test how well their EHR prevented medication errors with potential for patient harm. We calculated the descriptive statistics on performance on the assessment over time, by years of hospital experience with the test and across hospital characteristics. Finally, we used ordinary least squares regression to identify hospital characteristics associated with higher test performance. RESULTS: The average hospital EHR system correctly prevented only 54.0% of potential adverse drug events tested on the 44-order safety performance assessment in 2009; this rose to 61.6% in 2016. Hospitals that took the assessment multiple times performed better in subsequent years than those taking the test the first time, from 55.2% in the first year of test experience to 70.3% in the eighth, suggesting efforts to participate in voluntary self-assessment and improvement may be helpful in improving medication safety performance. CONCLUSION: Hospital medication order safety performance has improved over time but is far from perfect. The specifics of EHR medication safety implementation and improvement play a key role in realising the benefits of computerising prescribing, as organisations have substantial latitude in terms of what they implement. Intentional quality improvement efforts appear to be a critical part of high safety performance and may indicate the importance of a culture of safety.

Effectiveness of Best Practice Alerts for Potentially Inappropriate Medication Orders in Older Adults in the Ambulatory Setting.

INTRODUCTION: Information is limited about the effectiveness of best practice alerts (BPAs) for potentially inappropriate medications (PIMs) in improving clinical outcomes in older adults. OBJECTIVE: To assess clinical outcomes of 11 BPAs for PIMs in older adults in the ambulatory setting. METHODS: A retrospective cohort study was conducted at an integrated health care delivery system with computerized provider order entry. Patients aged 65 years and older were included if they had a BPA triggered when a prescriber attempted to order a sedating PIM in the ambulatory setting. Patients were categorized into dispensed and nondispensed groups if they did and did not, respectively, have the study PIM for which the BPA was triggered dispensed within 30 days of the alert. Rates of fall, fracture, or other injury and cognitive impairment were measured during 180-day follow-up. RESULTS: A total of 2704 patients were included: 1373 (50.8%) and 1331 (49.2%) in the dispensed and nondispensed groups, respectively. The dispensed group had a lower unadjusted rate of fall/fracture/injury (3.4% vs 5.3%, p = 0.019), but this difference was attenuated with multivariable adjustment (adjusted odds ratio = 0.77, 95% confidence interval = 0.51-1.13). There was no difference in the rate of cognitive impairment between groups (4.6% vs 4.4%, adjusted odds ratio = 1.40, 95% confidence interval = 0.95-2.05). CONCLUSION: No association was identified between PIM dispensing after a prescriber was alerted with a BPA and reduced rates of falls/fractures/injuries and cognitive impairment.

Ease of ordering high- and low-value services in various electronic health records.

OBJECTIVES: The use of electronic health record (EHR) systems by US clinicians is nearly ubiquitous. One motivation for EHR implementation is the ability to increase provider efficiency and improve patient-centered outcomes. There are no data examining how EHR design aligns with the ordering of high- and low-value clinical services. STUDY DESIGN: A survey of outpatient providers utilizing various EHR systems. METHODS: Five high-value and 5 low-value services that would typically be ordered in a primary care setting were identified. Providers using different EHR systems quantified the number of computer clicks required to order each service. RESULTS: Five unique EHR systems representing those used by nearly two-thirds of health systems were included. No correlation was found between the ease of EHR ordering and the value of the clinical service. Three of the 5 services that were easiest to order were low value, and 3 high-value services were among the most difficult to order. CONCLUSIONS: In EHR systems used nationwide, no association existed between the clinical value of a service and the ease of ordering. This disconnect suggests that EHR redesign can significantly improve clinician workflow to facilitate the use of more high-value care and fewer low-value services.

Analysis of dosing-button compliance.

PURPOSE: A project was undertaken at an academic medical center to assess use of available dosing buttons within the computerized provider-order-entry (CPOE) system in order to identify opportunities for optimization of medication builds. METHODS: A retrospective observational study was conducted to identify medication records within a CPOE system meeting prespecified inclusion and exclusion criteria. A report capturing all inpatient adult medication orders associated with the identified medication records over a 6-month period was generated. The primary endpoint was percent dosing-button compliance, calculated as the number of orders with doses consistent with existing dosing-button options divided by the total number of orders during the study period. Secondary study objectives included a comparison of high- and low-performing medication record samples and identification of potential reasons for lack of dosing-button use. RESULTS: A total of 2,506 CPOE medication records associated with a total of 694,877 medication orders entered during the study period were analyzed. Median percent dosing-button compliance was 99.92% (interquartile range, 83.33-100%). High-performing records (n = 1243) were more likely to be associated with anti-infective medications (p = 0.041) and medications not on formulary at the study institution (p < 0.001). Medications in the sample of poor-performing CPOE records (n = 614) were more likely to be agents delivered via the i.v. route (p < 0.001). There were 45 records for which poor dosing-button compliance was attributed to lack of a clinically reasonable dosing option. CONCLUSION: A high level of dosing-button compliance was demonstrated despite the lack of routine revalidation of dosing buttons after initial medication builds. Some opportunity for optimization was identified during the project, which established a quality assurance method to facilitate future auditing of medication builds.

Pediatric medication safety considerations for pharmacists in an adult hospital setting.

PURPOSE: Risks and vulnerabilities of the medication-use process in nonpediatric institutions that also serve pediatric patients are reviewed, and guidance on risk mitigation strategies is provided. SUMMARY: There are many risks and vulnerabilities in the medication-use process as it relates to pharmacotherapy for pediatric patients admitted to adult institutions. Mitigation of these risks is critical and should encompass various available resources and strategies. Special emphasis should be placed on use of technology to improve overall safety. Available literature recommends optimization of technology and resource use, institutional support for pediatric pharmacists' involvement in managing pediatric medication use, and provision of early exposure to pediatric patients in pharmacist training programs as additional methods of mitigating risks associated with pediatric medication use in adult institutions. Adult hospitals that provide care for pediatric patients should assess their processes in order to identify hospital-specific interventions to promote pediatric medication safety. CONCLUSION: Pediatric medication safety frameworks in U.S. adult institutions vary widely. Treating pediatric patients involves risks in all areas of the medication-use process. Optimizing technology, utilizing external resources, supporting a pediatric pharmacist, and providing early-career exposure to pediatric patients are methods to mitigate risks in institutions that primarily serve adult patients.

Interrupting providers with clinical decision support to improve care for heart failure.

BACKGROUND: Evidence-based therapy for heart failure remains underutilized at hospital discharge, particularly for patients with heart failure who are hospitalized for another cause. We developed clinical decision support (CDS) to recommend an angiotensin converting enzyme (ACE) inhibitor during hospitalization to promote its continuation at discharge. The CDS was designed to be implemented in both interruptive and non-interruptive versions. OBJECTIVES: To compare the effectiveness and implementation of interruptive and non-interruptive versions of a CDS to improve care for heart failure. METHODS: Hospitalizations of patients with reduced ejection fraction were pseudo-randomized to deliver interruptive or non-interruptive CDS alerts to providers based on even or odd medical record number. We compared discharge utilization of an ACE inhibitor or angiotensin receptor blocker (ARB) for these two implementation approaches. We also assessed adoption and implementation fidelity of the CDS. RESULTS: Of 958 hospitalizations, interruptive alert hospitalizations had higher rates of discharge utilization of ACE inhibitors or ARBs than non-interruptive alert hospitalizations (79.6% vs. 74.2%, p = 0.05). Utilization was higher for interruptive alert versus non-interruptive alert hospitalizations which were principally for causes other than heart failure (79.8% vs. 73.4%; p = 0.05) but no difference was observed among hospitalizations with a principal heart failure diagnosis (85.9% vs.81.7%; p = 0.49). As compared to non-interruptive hospitalizations, interruptive alert hospitalizations were more likely to have had: an alert with any response (40.6% vs. 13.1%, p < 0.001), contraindications reported (33.1% vs 11.3%, p < 0.001), and an ACE inhibitor ordered within twelve hours of the alert (17.6% vs 10.3%, p < 0.01). The response rate for the interruptive alert was 1.7%, and a median (25th, 75th percentile) of 14 (5,32) alerts were triggered per hospitalization. CONCLUSIONS: A CDS implemented as an interruptive alert was associated with improved quality of care for heart failure. Whether the potential benefits of CDS in improving cardiovascular care were worth the high burden of interruptive alerts deserves further consideration. CLINICALTRIALS. GOV IDENTIFIER: NCT02858674.

The Effect of Patient-Specific Drug-Drug Interaction Alerting on the Frequency of Alerts: A Pilot Study.

Background: False-positive drug-drug interaction alerts are frequent and result in alert fatigue that can result in prescribers bypassing important alerts. Development of a method to present patient-appropriate alerts is needed to help restore alert relevance. Objective: The purpose of this study was to assess the potential for patient-specific drug-drug interaction (DDI) alerts to reduce alert burden. Methods: This project was conducted at a tertiary care medical center. Seven of the most frequently encountered DDI alerts were chosen for developing patient-specific, algorithm-based DDI alerts. For each of the DDI pairs, 2 algorithms featuring different values for modifying factors were made. DDI alerts from the 7 drug pairs were collected over 30 days. Outcome measures included the number of DDI alerts generated before and after patient-specific algorithm application to the same patients over the same time period. Results: A total of 14 algorithms were generated, and each was evaluated by comparing the number of alerts generated by our existing, customized clinical decision support (CDS) software and the patient-specific algorithms. The CDS DDI alerting software generated an average of 185.3 alerts per drug pair over the 30-day study period. Patient-specific algorithms reduced the number of alerts resulting from the algorithms by 11.3% to 93.5%. Conclusion and Relevance: Patient-specific DDI alerting is an innovative and effective approach to reduce the number of DDI alerts, may potentially increase the appropriateness of alerts, and may decrease the potential for alert fatigue.

Randomized Clinical Trial of a Clinical Decision Support Tool for Improving the Appropriateness Scores for Ordering Imaging Studies in Primary and Specialty Care Ambulatory Clinics.

OBJECTIVE. The objective of our study was to evaluate whether the use of a clinical decision support (CDS) tool improved the appropriateness scores of orders for advanced imaging in clinical practice. MATERIALS AND METHODS. We used a stepped-wedge, cluster randomized clinical trial to evaluate the effectiveness of a CDS tool in an integrated health care system. Clinicians entered structured indications for each CT and MRI order, and the indications were electronically scored against appropriateness criteria to assign an appropriateness score. We compared the proportion of orders with adjusted appropriateness scores of 7 or greater (on a 1-9 scale) before and after activation of best practice alerts (BPAs) triggered for orders with low or marginal appropriateness scores. Secondary outcomes included the rate per month of orders for advanced imaging and the proportion of orders for which the radiology department requested changes. RESULTS. Between October 2015 and February 2016, 941 clinicians ordered 22,279 CT or MRI studies that met eligibility criteria. Before activation of the BPA, the mean proportion of appropriate orders (adjusted for time and clinic effect) was 77.0% (95% CI, 75.5-78.4%), which increased to 80.1% (95% CI, 78.7-81.5%) after activation (p = 0.001). There was no significant change in the rate of orders per month for advanced imaging. The proportion of order changes requested by the radiology department decreased from 5.7% (95% CI, 5.6-5.9%) before CDS implementation to 5.3% (95% CI, 5.1-5.5%) after CDS implementation (p < 0.001). CONCLUSION. Using an evidence-based CDS tool in clinical practice was associated with a modest but significant improvement in the appropriateness scores of advanced imaging orders.