Health Record Clinical Decision Support Research Articles

Evaluation of a Diabetes Screening Clinical Decision Support Tool

IntroductionWe evaluated if an electronic health record clinical decision support system (EHR CDSS) improves diabetes screening across a health system. MethodsStudy population included adults without diabetes attending a visit at 27 primary care clinics. Outcomes including the monthly screening laboratory order rate and completion rate among eligible patient visits. We performed logistic regression using a Generalized Estimating Equations model and interrupted time series (ITS) analysis to evaluate the change in the outcome from baseline to implementation and post-implementation periods. ResultsFrom the baseline to post-implementation period, screening laboratory order rates increased from 53% to 66% and completion rates increased from 46% to 54%, respectively. Odds of laboratory order and completion increased significantly from the baseline to post-implementation period (test order: OR 3.7, 95%CI 3.4-4.1, p<0.001; test completion: OR 2.1, 95%CI 2.0-2.3, p<0.001). In the ITS analysis, laboratory order and completion rates increased significantly from the baseline period (p<0.001 for both). ConclusionsWe developed and implemented a CDSS alert that automatically identifies eligible patients and facilitates single-click ordering of a diabetes screening test. An easily implementable and scalable CDSS alert can improve diabetes screening.

Improving Pediatric Hypertension Screening in an Academic Primary Care Setting.

Adherence to the American Academy of Pediatrics clinical practice guidelines for screening and managing high blood pressure (BP) is low. This team sought to improve recognition and documentation of relevant diagnoses in patients aged 13-20 years who presented to general pediatric clinics. The primary outcome measure was the proportion of office visits for patients ages 13-20 with a BP ≥ 120/80 with a visit or problem list diagnosis of hypertension or elevated BP. Secondary measures included (1) the proportion of patients who had their BP measured in the right arm, (2) the proportion of patients who had a mid-arm circumference measurement recorded, and (3) the proportion of patients who had a second BP reading measured at the visit. Interventions addressed key drivers for evidence-based high BP screening: standard BP measurement, electronic health record clinical decision support, and clinical pathway adoption. Data were collected over a twenty-seven-month period and plotted using the Laney p' chart. Provider documentation of elevated BP or hypertension improved from a baseline mean of 24% in April 2020 through January 2022 to 41% in February 2021 through June 2022. All secondary outcome measures also demonstrated significant improvement. This project demonstrates the feasibility of improving adherence to best practices of BP measurement in primary care clinics through education, acquisition of resources, and implementation of electronic health record flags for abnormal values.

Improving Sexual History Documentation in Teenagers.

Teen access to sexual health care is essential. The 21st Century Cures Act mandates that most electronic health information be shared with patients; no standard exists for how to meet this mandate for teens and their proxy caregivers. Our confidential shared teen sexual history (SexHx) section, which is not note-based, allows clinicians to easily find information, promotes clinical decision support, and protects privacy. Nevertheless, significant variability existed in SexHx section usage, SexHx documentation, and teen note-sharing practices. For teens (aged 12-17) admitted to the Pediatric Hospital Medicine service, we aim to increase the use of the SexHx section by 10% and increase History and Physical notes (H&Ps) shared with teens by 5% over 12 months. Quality improvement methodology and tools were used to conduct a barrier analysis and implement a series of interventions, which included education, training, and electronic health record clinical decision support. Statistical process control charts were used to examine the impact of the interventions. At baseline, from April to July 2021, sexual activity was documented or reviewed in the SexHx section for 56% of teen patients. Over the intervention period, the center line shifted to 72%. At baseline, 76% of teen H&Ps were shared with patients. The percentage of H&Ps shared revealed a center-line shift to 81% throughout the intervention period. The shared teen SexHx section is an innovative tool for capturing sensitive patient history discretely. We demonstrated increased and sustained SexHx section use and H&P note-sharing in this quality improvement initiative.

90. The Diagnosis of Ventilator-associated pneumonia (DIVA) trial: Results of a Clinical Trial of a Bundled VAP Diagnostic Stewardship Intervention

Abstract Background Ventilator-associated pneumonia (VAP) is commonly overdiagnosed &amp; a primary driver of antibiotic overuse within intensive care units (ICUs). Antimicrobial stewardship programs have successfully leveraged diagnostic stewardship interventions (DSIs) to prevent overdiagnosis/overtreatment of diverse clinical syndromes, yet this approach has not been extended to VAP. In this trial, we aimed to evaluate the safety, feasibility &amp; efficacy of a novel DSI care bundle (DSI-CB) targeting VAP. Methods The DIVA trial (NCT05176353) was a pilot/feasibility trial conducted in 2 ICUs at Michigan Medicine from February 2022-February 2023. A DSI-CB targeting the respiratory culture testing pathway was implemented sequentially in study ICUs, using an interruptive electronic health record clinical decision support tool &amp; modifications to microbiology laboratory workflows (Table 1). Providers were counseled on DSI-CB use during bimonthly educational sessions during trial rollout &amp; via monthly email reminders thereafter. Rates of prespecified co-primary safety and secondary efficacy outcomes were compared between the postintervention study cohort &amp; 5-year preintervention historical controls using negative binomial regression. Interrupted time series analysis was used to evaluate ICU antibiotic utilization rates (ICU-AURs) to account for temporal trends. Results 1810 patients were admitted to study ICUs following DSI-CB implementation, 29% of whom were eligible for DSI-CB use. DSI-CB was utilized in 77% of eligible patients. Patient demographics, comorbidities &amp; measures of acute severity of illness were similar pre- &amp; post-intervention. DSI-CB implementation was not associated with increases in primary adverse safety outcomes (Table 2). DSI-CB implementation was associated with significant reductions in rates of total respiratory cultures ordered, rates of positive respiratory cultures &amp; reductions in both total &amp; broad-spectrum ICU-AURs (Table 2, Figure 1). Conclusion Implementation of a novel VAP DSI-CB was safe, feasible &amp; associated with significant reductions in rates of respiratory culture positivity and ICU-AURs. This represents the first trial of a DSI targeting VAP &amp; a novel avenue for ICU antimicrobial stewardship. Large-scale trials are warranted. Disclosures Owen Albin, MD, Biomeriux: Grant/Research Support|Charles River Laboratories: Advisor/Consultant|Shionogi: Advisor/Consultant Weirauch J. Andrew, RRT, Drager Medical: Equipment loaned for research purposes, but no monetary funds were provided.|Jones and Bartlett Learning: Honoraria Krishna Rao, MD, MS, Merck &amp; Co.: Grant/Research Support|Rebiotix: Advisor/Consultant|Seres Therapeutics: Advisor/Consultant|Summit Therapeutics: Advisor/Consultant Keith S. Kaye, MD, MPH, Entasis: Advisor/Consultant|Entasis: Honoraria|GSK: Advisor/Consultant|GSK: Honoraria|Merck: Advisor/Consultant|Merck: Honoraria|Shionogi: Advisor/Consultant|Shionogi: Honoraria|VenatoRx: Advisor/Consultant|VenatoRx: Honoraria

Reducing 25-Hydroxyvitamin D Testing in a Large, Urban Safety Net System.

25-Hydroxyvitamin D testing is increasing despite national guidelines and Choosing Wisely recommendations against routine screening. Overuse can lead to misdiagnosis and unnecessary downstream testing and treatment. Repeat testing within 3months is a unique area of overuse. To reduce 25-hydroxyvitamin D testing in a large safety net system comprising 11 hospitals and 70 ambulatory centers. This was a quality improvement initiative with a quasi-experimental interrupted time series design with segmented regression. All patients in the inpatient and outpatient settings with at least one order for 25-hydroxyvitamin D were included in the analysis. An electronic health record clinical decision support tool was designed for inpatient and outpatient orders and involved two components: a mandatory prompt requiring appropriate indications and a best practice advisory (BPA) focused on repeat testing within 3months. The pre-intervention period (6/17/2020-6/13/2021) was compared to the post-intervention period (6/14/2021-8/28/2022) for total 25-hydroxyvitamin D testing, as well as 3-month repeat testing. Hospital and clinic variation in testing was assessed. Additionally, best practice advisory action rates were analyzed, separated by clinician type and specialty. There were 44% and 46% reductions in inpatient and outpatient orders, respectively (p < 0.001). Inpatient and outpatient 3-month repeat testing decreased by 61% and 48%, respectively (p < 0.001). The best practice advisory true accept rate was 13%. This initiative successfully reduced 25-hydroxyvitamin D testing through the use of mandatory appropriate indications and a best practice advisory focusing on a unique area of overuse: the repeat testing within a 3-month interval. There was wide variation among hospitals and clinics and variation among clinician types and specialties regarding actions to the best practice advisory.

Reducing Volatile Anesthetic Waste Using a Commercial Electronic Health Record Clinical Decision Support Tool to Lower Fresh Gas Flows.

Volatile anesthetic consumption can be reduced by minimizing excessive fresh gas flows (FGFs). Currently, it is unknown whether decision support tools embedded within commercial electronic health record systems can be successfully adopted to achieve long-term reductions in FGF rates. The authors describe the implementation of an electronic health record-based clinical decision support tool aimed at reducing FGF and evaluate the effectiveness of this intervention in achieving sustained reductions in FGF rates and volatile anesthetic consumption. On August 29, 2018, we implemented a decision support tool within the Epic Anesthesia Information Management System (AIMS) to alert providers of high FGF (>0.7 L/min for desflurane and >1 L/min for sevoflurane) during maintenance of anesthesia. July 22, 2015, to July 10, 2018, served as our baseline period before the intervention. The intervention period spanned from August 29, 2018, to December 31, 2019. Our primary outcomes were mean FGF (L/min) and volatile agent consumption (mL/MAC-h). Because a simple comparison of 2 time periods may result in false conclusions due to underlying trends independent of the intervention, we performed segmented regression of the interrupted time series to assess the change in level at the start of the intervention and the differences in slopes before and after the intervention. The analysis was also adjusted for potential confounding variables. Data included 44,899 cases using sevoflurane preintervention with 26,911 cases postintervention, and 17,472 cases using desflurane with 1185 cases postintervention. Segmented regression of the interrupted times series demonstrated a decrease in mean FGF by 0.6 L/min (95% CI, 0.6-0.6 L/min; P < .0001) for sevoflurane and 0.2 L/min (95% CI, 0.2-0.3 L/min; P < .0001) for desflurane immediately after implementation of the intervention. For sevoflurane, mL/MAC-h decreased by 3.8 mL/MAC-h (95% CI, 3.6-4.1 mL/MAC-h; P < .0001) after implementation of the intervention and decreased by 4.1 mL/MAC-h (95% CI, 2.6-5.6 mL/MAC-h; P < .0001) for desflurane. Slopes for both FGF and mL/MAC-h in the postintervention period were statistically less negative than the preintervention slopes (P < .0001 for sevoflurane and P < .01 for desflurane). A commercial AIMS-based decision support tool can be adopted to change provider FGF management patterns and reduce volatile anesthetic consumption in a sustainable fashion.

Effect of Electronic Health Record Clinical Decision Support on Contextualization of Care

Contextualizing care is a process of incorporating information about the life circumstances and behavior of individual patients, termed contextual factors, into their plan of care. In 4 steps, clinicians recognize clues (termed contextual red flags), clinicians ask about them (probe for context), patients disclose contextual factors, and clinicians adapt care accordingly. The process is associated with a desired outcome resolution of the presenting contextual red flag. To determine whether contextualized clinical decision support (CDS) tools in the electronic health record (EHR) improve clinician contextual probing, attention to contextual factors in care planning, and the presentation of contextual red flags. This randomized clinical trial was performed at the primary care clinics of 2 academic medical centers with different EHR systems. Participants were adults 18 years or older consenting to audio record their visits and their physicians between September 6, 2018, and March 4, 2021. Patients were randomized to an intervention or a control group. Analyses were performed on an intention-to-treat basis. Patients completed a previsit questionnaire that elicited contextual red flags and factors and appeared in the clinician's note template in a contextual care box. The EHR also culled red flags from the medical record, included them in the contextual care box, used passive and interruptive alerts, and proposed relevant orders. Proportion of contextual red flags noted at the index visit that resolved 6 months later (primary outcome), proportion of red flags probed (secondary outcome), and proportion of contextual factors addressed in the care plan by clinicians (secondary outcome), adjusted for study site and for multiple red flags and factors within a visit. Four hundred fifty-two patients (291 women [65.1%]; mean [SD] age, 55.6 [15.1] years) completed encounters with 39 clinicians (23 women [59.0%]). Contextual red flags were not more likely to resolve in the intervention vs control group (adjusted odds ratio [aOR], 0.96 [95% CI, 0.57-1.63]). However, the intervention increased both contextual probing (aOR, 2.12 [95% CI, 1.14-3.93]) and contextualization of the care plan (aOR, 2.67 [95% CI, 1.32-5.41]), controlling for whether a factor was identified by probing or otherwise. Across study groups, contextualized care plans were more likely than noncontextualized plans to result in improvement in the presenting red flag (aOR, 2.13 [95% CI, 1.38-3.28]). This randomized clinical trial found that contextualized CDS did not improve patients' outcomes but did increase contextualization of their care, suggesting that use of this technology could ultimately help improve outcomes. ClinicalTrials.gov Identifier: NCT03244033.

Attitudes on pharmacogenomic results as secondary findings among medical geneticists.

As evidence mounts supporting the utility of pharmacogenomic-guided medication management, incorporating pharmacogenomic genes into secondary finding results from sequencing panels is increasingly under consideration. We studied medical geneticists' attitudes on receiving pharmacogenomic results as secondary finding. Four focus groups with 16 medical geneticists total were conducted followed by thematic analysis. All participants ordered genetic sequencing tests; however, the majority had rarely or never ordered pharmacogenomic tests (10/16) or prescribed medications with established response variability (11/16). In total 81.3% expressed low comfort interpreting pharmacogenomic results without appropriate clinical resources (13/16). The positives of receiving pharmacogenomic results as secondary finding included prevention of adverse drug reactions in adults, grateful information-seeking patients, the ability to rapidly prescribe more effective treatments and appreciation of the recent advances in both pharmacogenomic knowledge and available guidelines. Negatives included laboratory reporting issues, exclusivity of pharmacogenomic results to certain populations, lengthy reports concealing pharmacogenomic results in patient charts and laboratories marketing to individuals without prior pharmacogenomic knowledge or targeting inappropriate populations. The most desirable pharmacogenomic resources included a universal electronic health record clinical decision support tool to assist identifying and implementing pharmacogenomic results, a specialized pharmacist as part of the care team, additional pharmacogenomic training during medical/graduate school, and a succinct interpretation of pharmacogenomic results included on laboratory reports. The majority of participants agreed that adding certain actionable pharmacogenomic genes to the American College of Medical Genetics and Genomics SF list is reasonable; however, this was qualified with a need for additional resources to support implementation.

In pursuit of the holy grail: Improving C. difficile testing appropriateness with iterative electronic health record clinical decision support and targeted test restriction.

To determine the impact of electronic health record (EHR)-based interventions and test restriction on Clostridioides difficile tests (CDTs) and hospital-onset C. difficile infection (HO-CDI). Quasi-experimental study in 3 hospitals. 957-bed academic (hospital A), 354-bed (hospital B), and 175-bed (hospital C) academic-affiliated community hospitals. Three EHR-based interventions were sequentially implemented: (1) alert when ordering a CDT if laxatives administered within 24 hours (January 2018); (2) cancellation of CDT orders after 24 hours (October 2018); (3) contextual rule-driven order questions requiring justification when laxative administered or lack of EHR documentation of diarrhea (July 2019). In February 2019, hospital C implemented a gatekeeper intervention requiring approval for all CDTs after hospital day 3. The impact of the interventions on C. difficile testing and HO-CDI rates was estimated using an interrupted time-series analysis. C. difficile testing was already declining in the preintervention period (annual change in incidence rate [IR], 0.79; 95% CI, 0.72-0.87) and did not decrease further with the EHR interventions. The laxative alert was temporally associated with a trend reduction in HO-CDI (annual change in IR from baseline, 0.85; 95% CI, 0.75-0.96) at hospitals A and B. The gatekeeper intervention at hospital C was associated with level (IRR, 0.50; 95% CI, 0.42-0.60) and trend reductions in C. difficile testing (annual change in IR, 0.91; 95% CI, 0.85-0.98) and level (IRR 0.42; 95% CI, 0.22-0.81) and trend reductions in HO-CDI (annual change in IR, 0.68; 95% CI, 0.50-0.92) relative to the baseline period. Test restriction was more effective than EHR-based clinical decision support to reduce C. difficile testing in our 3-hospital system.

Leveraging Electronic Health Record Clinical Decision Support to Identify Clostridium difficile Infection in Clinically Appropriate Patient Populations

Background: In 2017, the IDSA and the SHEA released updated Clostridium difficile practice guidelines. Implementing institutionally accepted criteria for identifying clinically appropriate patients for testing was endorsed. When utilizing NAAT as the sole laboratory testing methodology, testing clinically symptomatic patients is important to reduce inappropriate treatment of C. difficile colonization. C. difficile rates at a regional community health system were higher than expected, and patient case reviews identified inappropriate patient testing as an issue. Therefore, the infection prevention team sought to optimize and standardize protocols surrounding appropriate patient selection for C. difficile testing. Methods: Current recommendations were evaluated, and processes formulated to implement an innovative process to support our clinicians in identifying clinically appropriate patients to test for C. difficile infection. The electronic decision support is summarized as a bundled approach with 4 best practice alerts that incorporate algorithms that warn providers of potentially inappropriate testing scenarios. These alerts include the following criteria: (1) a laxative having been administered within 48 hours of attempted order, (2) a negative test resulted within 7 days, (3) a positive test resulted within 14 days, and (4) identification of patients at high risk for C. difficile infection (based on recent long-term care facility exposure, recent inpatient hospital visits, recent antimicrobial therapy). Outcomes of our acute-care hospitals were monitored by real-time evaluation of each hospital’s quarterly C. difficile LabID standardized infection ratio (SIR) as defined by the NHSN. For statistical analyses, the cumulative second and third quarters of 2018 (before the intervention) were compared to the cumulative second and third quarters of 2019 to account for seasonality of C. difficile infections. Results: Utilizing the NHSN statistical calculator to compare 2 SIRs, there was a statistically significant decrease (P = .0026) in the largest hospital’s C. difficile LabID SIR when comparing representative preintervention cumulative quarters to the postintervention cumulative quarters. Although the other hospitals did not see a statistically significant decrease in their C. difficile LabID SIR, a clinically significant decrease was appreciated for 2 of our hospitals. Conclusions: Electronic health record–based decision support helps clinicians identify clinically appropriate patients to test by NAAT alone for C. difficile infection. By limiting the number of patients tested without clinical signs or symptoms of infection and/or after receiving laxatives, hospitals more accurately capture their true C. difficile rates and maximize reimbursement based on this measure within the CMS Safety of Care Measure.Funding: NoneDisclosures: None

Electronic Health Record Portal Messages and Interactive Voice Response Calls to Improve Rates of Early Season Influenza Vaccination: Randomized Controlled Trial.

BackgroundPatient reminders for influenza vaccination, delivered via an electronic health record patient portal and interactive voice response calls, offer an innovative approach to engaging patients and improving patient care.ObjectiveThe goal of this study was to test the effectiveness of portal and interactive voice response outreach in improving rates of influenza vaccination by targeting patients in early September, shortly after vaccinations became available.MethodsUsing electronic health record portal messages and interactive voice response calls promoting influenza vaccination, outreach was conducted in September 2015. Participants included adult patients within a large multispecialty group practice in central Massachusetts. Our main outcome was electronic health record–documented early influenza vaccination during the 2015-2016 influenza season, measured in November 2015. We randomly assigned all active portal users to 1 of 2 groups: (1) receiving a portal message promoting influenza vaccinations, listing upcoming clinics, and offering online scheduling of vaccination appointments (n=19,506) or (2) receiving usual care (n=19,505). We randomly assigned all portal nonusers to 1 of 2 groups: (1) receiving interactive voice response call (n=15,000) or (2) receiving usual care (n=43,596). The intervention also solicited patient self-reports on influenza vaccinations completed outside the clinic. Self-reported influenza vaccination data were uploaded into the electronic health records to increase the accuracy of existing provider-directed electronic health record clinical decision support (vaccination alerts) but were excluded from main analyses.ResultsAmong portal users, 28.4% (5549/19,506) of those randomized to receive messages and 27.1% (5294/19,505) of the usual care group had influenza vaccinations documented by November 2015 (P=.004). In multivariate analysis of portal users, message recipients were slightly more likely to have documented vaccinations when compared to the usual care group (OR 1.07, 95% CI 1.02-1.12). Among portal nonusers, 8.4% (1262/15,000) of those randomized to receive calls and 8.2% (3586/43,596) of usual care had documented vaccinations (P=.47), and multivariate analysis showed nonsignificant differences. Over half of portal messages sent were opened (10,112/19,479; 51.9%), and over half of interactive voice response calls placed (7599/14,984; 50.7%) reached their intended target, thus we attained similar levels of exposure to the messaging for both interventions. Among portal message recipients, 25.4% of message openers (2570/10,112) responded to a subsequent question on receipt of influenza vaccination; among interactive voice response recipients, 72.5% of those reached (5513/7599) responded to a similar question.ConclusionsPortal message outreach to a general primary care population achieved a small but statistically significant improvement in rates of influenza vaccination (OR 1.07, 95% CI 1.02-1.12). Interactive voice response calls did not significantly improve vaccination rates among portal nonusers (OR 1.03, 95% CI 0.96-1.10). Rates of patient engagement with both modalities were favorable.Trial RegistrationClinicalTrials.gov NCT02266277; https://clinicaltrials.gov/ct2/show/NCT02266277

User-Centered Development of a Behavioral Economics Inspired Electronic Health Record Clinical Decision Support Module.

Changing physician behaviors is difficult. Electronic health record (EHR) clinical decision support (CDS) offers an opportunity to promote guideline adherence. Behavioral economics (BE) has shown success as an approach to supporting evidence-based decision-making with little additional cognitive burden. We applied a user-centered approach to incorporate BE “nudges” into a CDS module in two “vanguard” sites utilizing: (1) semi-structured interviews with key informants (n=8); (2) a design thinking workshop; and (3) semi-structured group interviews with clinicians. In the 133 day development phase at two clinics, the navigator section fired 299 times for 27 unique clinicians. The inbasket refill alert fired 124 times for 22 clinicians. Fifteen prescriptions for metformin were written by 11 clinicians. Our user-centered approach yielded a BE- driven CDS module with relatively high utilization by clinicians. Next steps include the addition of two modules and continued tracking of utilization, and assessment of clinical impact of the module.

Designing for implementation: user-centered development and pilot testing of a behavioral economic-inspired electronic health record clinical decision support module

BackgroundCurrent guidelines recommend less aggressive target hemoglobin A1c (HbA1c) levels based on older age and lower life expectancy for older adults with diabetes. The effectiveness of electronic health record (EHR) clinical decision support (CDS) in promoting guideline adherence is undermined by alert fatigue and poor workflow integration. Integrating behavioral economics (BE) and CDS tools is a novel approach to improving adherence to guidelines while minimizing clinician burden.MethodsWe will apply a systematic, user-centered design approach to incorporate BE “nudges” into a CDS module and will perform user testing in two “vanguard” sites. To accomplish this, we will conduct (1) semi-structured interviews with key informants (n = 8), (2) a 2-h, design-thinking workshop to derive and refine initial module ideas, and (3) semi-structured group interviews at each site with clinic leaders and clinicians to elicit feedback on three proposed nudge module components (navigator section, inbasket refill protocol, medication preference list). Detailed field notes will be summarized by module idea and usability theme for rapid iteration. Frequency of firing and user action taken will be assessed in the first month of implementation via EHR reporting to confirm that module components and related reporting are working as expected as well as assess utilization. To assess the utilization and feasibility of the new tools and generate estimates of clinician compliance with the Choosing Wisely guideline for diabetes management in older adults, a 6-month, single-arm pilot study of the BE-EHR module will be conducted in six outpatient primary care clinics.DiscussionWe hypothesize that a low burden, user-centered approach to design will yield a BE-driven, CDS module with relatively high utilization by clinicians. The resulting module will establish a platform for exploring the ability of BE concepts embedded within the EHR to affect guideline adherence for other use cases.

Optimizing testing for Clostridium difficile infection: A quality improvement project

Overtesting for Clostridium difficile may result in increased health care facility-onset C difficile infection LabID events. Our quality improvement project optimized testing through standardization of laboratory processes, electronic health record clinical decision support, and real-time monitoring. Our intervention resulted in a 59% reduction in health care facility-onset C difficile infection LabID events.

Working at the intersection of context, culture, and technology: Provider perspectives on antimicrobial stewardship in the emergency department using electronic health record clinical decision support

Antibiotic stewardship programs (ASPs) have not been fully developed for the emergency department (ED), in part the result of the barriers characteristic of this setting. Electronic health record-based clinical decision support (EHR CDS) represents a promising strategy to implement ASPs in the ED. We aimed to determine the cultural beliefs and structural barriers and facilitators to implementation of antimicrobial stewardship in the pediatric ED using EHR CDS. Interviews and focus groups were conducted with hospital and ED leadership, attending ED physicians, nurse practitioners, physician assistants, and residents at a single health system in Colorado. We reviewed and coded the data using constant comparative analysis and framework analysis until a final set of themes emerged. Two dominant perceptions shaped providers' perspectives on ASPs in the ED and EHR CDS: (1) maintaining workflow efficiency and (2) constrained decision-making autonomy. Clinicians identified structural barriers to ASPs, such as pace of the ED, and various beliefs that shaped patterns of practice, including accommodating the prescribing decisions of other providers and managing parental expectations. Recommendations to enhance uptake focused on designing a simple yet flexible user interface, providing clinicians with performance data, and on-boarding clinicians to enhance buy-in. Developing a successful ED-based ASP using EHR CDS should attend to technologic needs, the institutional context, and the cultural beliefs of practice associated with providers' antibiotic prescribing.

Use of Electronic Health Record Clinical Decision Support Tools in Antimicrobial Stewardship Activities

The Society for Healthcare Epidemiology of America and the Infectious Disease Society of America (SHEA/IDSA) released guidelines outlining the strategies of antimicrobial stewardship program (ASP) activities in 2006. These strategies have been supported by advances in technology, beginning with the novel use of clinical decision support systems (CDSS) at LDS Hospital in Salt Lake City, UT. This sophisticated home-grown program allowed for timely and tailored information to be exchanged between the electronic medical record (EMR) and physicians, resulting in reduced drug costs and improved patient outcomes. This CDSS technology became the basis of many third-party vendors that emerged to offer support and improve clinical and fiscal outcomes. However, third-party programs are expensive, require double documentation of interventions within the third-party platform and the EMR, and lack prescriber interaction at the time of prescribing; although they are more customizable and allow for real-time alerts between the microbiology lab and ASP team members. The advancement of the electronic health records (EHR) has expanded the capability for ASPs to use the EHR for clinical stewardship activities rather than outsource it to a third-party vendor. Epic and Cerner currently lead the market in EMR technology and are expected to continue expanding ASP functionality in their foundation systems.

Impact of Electronic Health Record Clinical Decision Support on the Management of Pediatric Obesity

Clinicians vary significantly in their adherence to clinical guidelines for overweight/obesity. This study assessed the impact of electronic health record-based clinical decision support in improving the diagnosis and management of pediatric obesity. The study team programmed a point-of-care alert linked to a checklist and standardized documentation templates to appear during health maintenance visits for overweight/obese children in an outpatient teaching clinic and compared outcomes through medical record reviews of 574 (287 control and 287 intervention) visits. The results demonstrated a statistically significant increase in the diagnosis of overweight/obesity, scheduling of follow-up appointments, frequency of ordering recommended laboratory investigations, and assessment and counseling for nutrition and physical activity. Although clinical guideline adherence increased significantly, it was far from universal. It is unknown if modest improvements in adherence to clinical guidelines translate to improvements in children's health. However, this intervention was relatively easy to implement and produced measurable improvements in health care delivery.

Use of an Electronic Health Record Clinical Decision Support Tool to Improve Antibiotic Prescribing for Acute Respiratory Infections: The ABX-TRIP Study

Antibiotics are often inappropriately prescribed for acute respiratory infections (ARIs). To assess the impact of a clinical decision support system (CDSS) on antibiotic prescribing for ARIs. A two-phase, 27-month demonstration project. Nine primary care practices in PPRNet, a practice-based research network whose members use a common electronic health record (EHR). Thirty-nine providers were included in the project. A CDSS was designed as an EHR progress note template. To facilitate CDSS implementation, each practice participated in two to three site visits, sent representatives to two project meetings, and received quarterly performance reports on antibiotic prescribing for ARIs. 1) Use of antibiotics for inappropriate indications. 2) Use of broad spectrum antibiotics when inappropriate. 3) Use of antibiotics for sinusitis and bronchitis. The CDSS was used 38,592 times during the 27-month intervention; its use was sustained for the study duration. Use of antibiotics for encounters at which diagnoses for which antibiotics are rarely appropriate did not significantly change through the course of the study (estimated 27-month change, 1.57% [95% CI, -5.35%, 8.49%] in adults and -1.89% [95% CI, -9.03%, 5.26%] in children). However, use of broad spectrum antibiotics for ARI encounters improved significantly (estimated 27 month change, -16.30%, [95% CI, -24.81%, -7.79%] in adults and -16.30 [95%CI, -23.29%, -9.31%] in children). Prescribing for bronchitis did not change significantly, but use of broad spectrum antibiotics for sinusitis declined. This multi-method intervention appears to have had a sustained impact on reducing the use of broad spectrum antibiotics for ARIs. This intervention shows promise for promoting judicious antibiotic use in primary care.

Impact of Electronic Health Record Clinical Decision Support on Diabetes Care: A Randomized Trial

We wanted to assess the impact of an electronic health record-based diabetes clinical decision support system on control of hemoglobin A(1c) (glycated hemoglobin), blood pressure, and low-density lipoprotein (LDL) cholesterol levels in adults with diabetes. We conducted a clinic-randomized trial conducted from October 2006 to May 2007 in Minnesota. Included were 11 clinics with 41 consenting primary care physicians and the physicians' 2,556 patients with diabetes. Patients were randomized either to receive or not to receive an electronic health record (EHR)-based clinical decision support system designed to improve care for those patients whose hemoglobin A(1c), blood pressure, or LDL cholesterol levels were higher than goal at any office visit. Analysis used general and generalized linear mixed models with repeated time measurements to accommodate the nested data structure. The intervention group physicians used the EHR-based decision support system at 62.6% of all office visits made by adults with diabetes. The intervention group diabetes patients had significantly better hemoglobin A(1c) (intervention effect -0.26%; 95% confidence interval, -0.06% to -0.47%; P=.01), and better maintenance of systolic blood pressure control (80.2% vs 75.1%, P=.03) and borderline better maintenance of diastolic blood pressure control (85.6% vs 81.7%, P =.07), but not improved low-density lipoprotein cholesterol levels (P = .62) than patients of physicians randomized to the control arm of the study. Among intervention group physicians, 94% were satisfied or very satisfied with the intervention, and moderate use of the support system persisted for more than 1 year after feedback and incentives to encourage its use were discontinued. EHR-based diabetes clinical decision support significantly improved glucose control and some aspects of blood pressure control in adults with type 2 diabetes.