Neuroinvasive Bacillus cereus Infection in Immunocompromised Hosts: Epidemiologic Investigation of 5 Patients With Acute Myeloid Leukemia.

Background: Bacillus cereus is a ubiquitous gram-positive rod-shaped bacterium that can cause sepsis and neuroinvasive disease in patients with acute leukemia or neutropenia. Methods: A single-center retrospective review was conducted to evaluate patients with acute leukemia, positive blood or cerebrospinal fluid test results for B cereus, and abnormal neuroradiographic findings between January 2018 and October 2022. Infection control practices were observed, environmental samples obtained, a dietary case-control study completed, and whole genome sequencing performed on environmental and clinical Bacillus isolates. Results: Five patients with B cereus neuroinvasive disease were identified. All patients had acute myeloid leukemia (AML), were receiving induction chemotherapy, and were neutropenic. Neurologic involvement included subarachnoid or intraparenchymal hemorrhage or brain abscess. All patients were treated with ciprofloxacin and survived with limited or no neurologic sequelae. B cereus was identified in 7 of 61 environmental samples and 1 of 19 dietary protein samples-these were unrelated to clinical isolates via sequencing. No point source was identified. Ciprofloxacin was added to the empiric antimicrobial regimen for patients with AML and prolonged or recurrent neutropenic fevers; no new cases were identified in the ensuing year. Conclusions: B cereus is ubiquitous in the hospital environment, at times leading to clusters with unrelated isolates. Fastidious infection control practices addressing a range of possible exposures are warranted, but their efficacy is unknown and they may not be sufficient to prevent all infections. Thus, including B cereus coverage in empiric regimens for patients with AML and persistent neutropenic fever may limit the morbidity of this pathogen.

What Went Right? A Mixed-Methods Study of Positive Feedback Data in a Hospital-Wide Mortality Review Survey.

BACKGROUND: Toxic work culture contributes to healthcare worker burnout and attrition, but little is known about how healthcare organizations can systematically create and promote a culture of civility and collegiality. OBJECTIVE: To analyze peer-to-peer positive feedback collected as part of a systematized mortality review survey to identify themes and recognition dynamics that can inform positive organizational culture change. DESIGN: Convergent mixed-methods study design. PARTICIPANTS: A total of 388 physicians, 212 registered nurses, 64 advanced practice providers, and 1 respiratory therapist at four non-profit hospitals (2 academic and 2 community). INTERVENTION: Providing optional positive feedback in the mortality review survey. MAIN MEASURES: Key themes and subthemes that emerged from positive feedback data, associations between key themes and positive feedback respondent characteristics, and recognition dynamics between positive feedback respondents and recipients. KEY RESULTS: Approximately 20% of healthcare workers provided positive feedback. Three key themes emerged among responses with free text comments: (1) providing extraordinary patient and family-centered care; (2) demonstrating self-possession and mastery; and (3) exhibiting empathic peer support and effective team collaboration. Compared to other specialties, most positive feedback from medicine (70.2%), neurology (65.2%), hospice and palliative medicine (64.3%), and surgery (58.8%) focused on providing extraordinary patient and family-centered care (p = 0.02), whereas emergency medicine (59.1%) comments predominantly focused on demonstrating self-possession and mastery (p = 0.06). Registered nurses (40.2%) provided multidirectional positive feedback more often than other clinician types in the hospital hierarchy (p < 0.001). CONCLUSIONS: Analysis of positive feedback from a mortality review survey provided meaningful insights into a health system's culture of teamwork and values related to civility and collegiality when providing end-of-life care. Systematic collection and sharing of positive feedback is feasible and has the potential to promote positive culture change and improve healthcare worker well-being.

Financial Impact of a Radiology Safety Net Program for Resolution of Clinically Necessary Follow-up Imaging Recommendations.

OBJECTIVE: Health care safety net (SN) programs can potentially improve patient safety and decrease risk associated with missed or delayed follow-up care, although they require financial resources. This study aimed to assess whether the revenue generated from completion of clinically necessary recommendations for additional imaging (RAI) made possible by an IT-enabled SN program could fund the required additional labor resources. METHODS: Clinically necessary RAI generated October 21, 2019, to September 24, 2021, were tracked to resolution as of April 13, 2023. A new radiology SN team worked with existing schedulers and care coordinators, performing chart review and patient and provider outreach to ensure RAI resolution. We applied relevant Current Procedural Terminology, version 4 codes of the completed imaging examinations to estimate total revenue. Coprimary outcomes included revenue generated by total performed examinations and estimated revenue attributed to SN involvement. We used Student's t test to compare the secondary outcome, RAI time interval, for higher versus lower revenue-generating modalities. RESULTS: In all, 24% (3,243) of eligible follow-up recommendations (13,670) required SN involvement. Total estimated revenue generated by performed recommended examinations was $6,116,871, with $980,628 attributed to SN. Net SN-generated revenue per 1.0 full-time equivalent was an estimated $349,768. Greatest proportion of performed examinations were cross-sectional modalities (CT, MRI, PET/CT), which were higher revenue-generating than non-cross-sectional modalities (x-ray, ultrasound, mammography), and had shorter recommendation time frames (153 versus 180 days, P < .001). DISCUSSION: The revenue generated from completion of RAI facilitated by an IT-enabled quality and safety program supplemented by an SN team can fund the required additional labor resources to improve patient safety. Realizing early revenue may require 5 to 6 months postimplementation.

Impact of an Automated Closed-Loop Communication and Tracking Tool on the Rate of Recommendations for Additional Imaging in Thoracic Radiology Reports.

OBJECTIVE: Assess the effects of feedback reports and implementing a closed-loop communication system on rates of recommendations for additional imaging (RAIs) in thoracic radiology reports. METHODS: In this retrospective, institutional review board-approved study at an academic quaternary care hospital, we analyzed 176,498 thoracic radiology reports during a pre-intervention (baseline) period from April 1, 2018, to November 30, 2018; a feedback report only period from December 1, 2018, to September 30, 2019; and a closed-loop communication system plus feedback report (IT intervention) period from October 1, 2019, to December 31, 2020, promoting explicit documentation of rationale, time frame, and imaging modality for RAI, defined as complete RAI. A previously validated natural language processing tool was used to classify reports with an RAI. Primary outcome of rate of RAI was compared using a control chart. Multivariable logistic regression determined factors associated with likelihood of RAI. We also estimated the completeness of RAI in reports comparing IT intervention to baseline using χ2 statistic. RESULTS: The natural language processing tool classified 3.2% (5,682 of 176,498) reports as having an RAI; 3.5% (1,783 of 51,323) during the pre-intervention period, 3.8% (2,147 of 56,722) during the feedback report only period (odds ratio: 1.1, P = .03), and 2.6% (1,752 of 68,453) during the IT intervention period (odds ratio: 0.60, P < .001). In subanalysis, the proportion of incomplete RAI decreased from 84.0% (79 of 94) during the pre-intervention period to 48.5% (47 of 97) during the IT intervention period (P < .001). DISCUSSION: Feedback reports alone increased RAI rates, and an IT intervention promoting documentation of complete RAI in addition to feedback reports led to significant reductions in RAI rate, incomplete RAI, and improved overall completeness of the radiology recommendations.

Development and External Validation of an Artificial Intelligence Model for Identifying Radiology Reports Containing Recommendations for Additional Imaging.

BACKGROUND. Reported rates of recommendations for additional imaging (RAIs) in radiology reports are low. Bidirectional encoder representations from transformers (BERT), a deep learning model pretrained to understand language context and ambiguity, has potential for identifying RAIs and thereby assisting large-scale quality improvement efforts. OBJECTIVE. The purpose of this study was to develop and externally validate an artificial intelligence (AI)-based model for identifying radiology reports containing RAIs. METHODS. This retrospective study was performed at a multisite health center. A total of 6300 radiology reports generated at one site from January 1, 2015, to June 30, 2021, were randomly selected and split by 4:1 ratio to create training (n = 5040) and test (n = 1260) sets. A total of 1260 reports generated at the center's other sites (including academic and community hospitals) from April 1 to April 30, 2022, were randomly selected as an external validation group. Referring practitioners and radiologists of varying sub-specialties manually reviewed report impressions for presence of RAIs. A BERT-based technique for identifying RAIs was developed by use of the training set. Performance of the BERT-based model and a previously developed traditional machine learning (TML) model was assessed in the test set. Finally, performance was assessed in the external validation set. The code for the BERT-based RAI model is publicly available. RESULTS. Among a total of 7419 unique patients (4133 women, 3286 men; mean age, 58.8 years), 10.0% of 7560 reports contained RAI. In the test set, the BERT-based model had 94.4% precision, 98.5% recall, and an F1 score of 96.4%. In the test set, the TML model had 69.0% precision, 65.4% recall, and an F1 score of 67.2%. In the test set, accuracy was greater for the BERT-based than for the TML model (99.2% vs 93.1%, p < .001). In the external validation set, the BERT-based model had 99.2% precision, 91.6% recall, an F1 score of 95.2%, and 99.0% accuracy. CONCLUSION. The BERT-based AI model accurately identified reports with RAIs, outperforming the TML model. High performance in the external validation set suggests the potential for other health systems to adapt the model without requiring institution-specific training. CLINICAL IMPACT. The model could potentially be used for real-time EHR monitoring for RAIs and other improvement initiatives to help ensure timely performance of clinically necessary recommended follow-up.

Patient and System Factors Associated With Completed Follow-Up of Probably Benign (BI-RADS 3) Breast Imaging Findings.

OBJECTIVE: Evaluate patient factors and health system test ordering and scheduling processes associated with completed BI-RADS 3 breast imaging follow-up. METHODS: Retrospective review of reports from January 1, 2021, to July 31, 2021, identified BI-RADS 3 findings corresponding to unique patient encounters (index examinations). The electronic health record was queried for patient, examination, and health system ordering or scheduling data including follow-up order status (order placed, performed; order placed, scheduled, but not performed; order placed, unscheduled; no order placed); ordering provider specialty and health system affiliation (primary care versus other, internal versus external to health system); and ordering department (radiology staff versus referring physician staff). Patient home addresses were categorized by area deprivation index (University of Wisconsin's Neighborhood Atlas). Univariable and multivariable analysis identified patient, examination, and ordering or scheduling factors associated with completed follow-up imaging within 15 months of BI-RADS 3 assessment. RESULTS: There were 3,104 unique BI-RADS 3 assessments, 2,561 (82.5%) with completed BI-RADS 3 follow-up within 15 months of study examination. In multivariable analysis, factors associated with incomplete follow-up included ultrasound (odds ratio [OR] 0.48; 95% confidence interval [95% CI] 0.38-0.60; P < .001) and MRI (OR 0.71; 95% CI 0.50-1.00; P = .049) versus mammogram; patients living in the highest disadvantaged neighborhoods (OR 0.70; 95% CI 0.50-0.98; P = .04); patients <40 years (OR 0.14; 95% CI 0.11-0.19; P < .001); Asian race (OR 0.55; 95% CI 0.37-0.81; P = .003); order placement >3 months (OR, 0.05; 95% CI 0.02-0.16; P < .001) after index examination or scheduling >6 months after order placement (OR, 0.35; 95% CI 0.14-0.87; P = .02); order placement by breast oncology or breast surgery departments (OR 0.35; 95% CI 0.17-0.73; P = .01) versus radiology department. DISCUSSION: Incomplete BI-RADS 3 follow-up is associated with ultrasound or MRI, most socioeconomically disadvantaged patients, younger patients, Asian race, delayed order entry, and follow-up examination ordering and scheduling by non-radiology departments.

Development and Assessment of an Information Technology Intervention to Improve the Clarity of Radiologist Follow-up Recommendations.

Importance: It is challenging to ensure timely performance of radiologist-recommended additional imaging when radiologist recommendation language is incomplete or ambiguous. Objective: To evaluate whether voluntary use of an information technology tool with forced structured entry of recommendation attributes was associated with improved completeness of recommendations for additional imaging over time. Design, Setting, and Participants: This cohort study of imaging report data was performed at an academic quaternary care center in Boston, Massachusetts, and included consecutive adults with radiology examinations performed from September 12 to 13, 2019 (taxonomy validation), October 14 to 17, 2019 (before intervention), April 5 to 7, 2021 (1 week after intervention), and April 4 to 7, 2022 (1 year after intervention), with reports containing recommendations for additional imaging. A radiologist scored the 3 groups (preintervention group, 1-week postintervention group, and 1-year postintervention group) of 336 consecutive radiology reports (n = 1008) with recommendations for additional imaging. Intervention: Final implementation on March 27, 2021, of a voluntary closed-loop communication tool embedded in radiologist clinical workflow that required structured entry of recommendation attributes. Main Outcomes and Measures: The a priori primary outcome was completeness of recommendations for additional imaging, defined in a taxonomy created by a multidisciplinary expert panel. To validate the taxonomy, 2 radiologists independently reviewed and scored language attributes as present or absent in 247 consecutive radiology reports containing recommendations for additional imaging. Agreement was assessed with Cohen κ. Recommendation completeness over time was compared with with 1-sided Fisher exact tests and significance set at P < .05. Results: Radiology-related information for consecutive radiology reports from the 4 time periods was collected from the radiology department data warehouse, which does not include data on patient demographic characteristics or other nonimaging patient medical information. The panel defined 5 recommendation language attributes: complete (contains imaging modality, time frame, and rationale), ambiguous (equivocal, vague language), conditional (qualifying language), multiplicity (multiple options), and alternate (language favoring a different examination to that ordered). Two radiologists had more than 90% agreement (κ > 0.8) for these attributes. Completeness with use of the tool increased more than 3-fold, from 14% (46 of 336) before the intervention to 46% (153 of 336) (P < .001) 1 year after intervention; completeness in the corresponding free-text report language increased from 14% (46 of 336) before the intervention to 25% (85 of 336) (P < .001) 1 year after the intervention. Conclusions and Relevance: This study suggests that supplementing free-text dictation with voluntary use of a structured entry tool was associated with improved completeness of radiologist recommendations for additional imaging as assessed by an internally validated taxonomy. Future research is needed to assess the association with timely performance of clinically necessary recommendations and diagnostic errors. The taxonomy can be used to evaluate and build interventions to modify radiologist reporting behaviors.

A Public Health Critical Race Praxis Informed Congestive Heart Failure Quality Improvement Initiative on Inpatient General Medicine.

BACKGROUND: Prior evaluation at our hospital demonstrated that, compared to White patients, Black and Latinx patients with congestive heart failure (CHF) were less likely to be admitted to the cardiology service rather than the general medicine service (GMS). Patients admitted to GMS (compared to cardiology) had inferior rates of cardiology follow-up and 30-day readmission. OBJECTIVE: To develop and test the feasibility and impacts of using quality improvement (QI) methods, in combination with the Public Health Critical Race Praxis (PHCRP) framework, to engage stakeholders in developing an intervention for ensuring guideline-concordant inpatient CHF care across all patient groups. METHODS: We compared measures for all patients admitted with CHF to GMS between September 2019 and March 2020 (intervention group) to CHF patients admitted to GMS in the previous year (pre-intervention group) and those admitted to cardiology during the pre-intervention and intervention periods (cardiology group). Our primary measures were 30-day readmissions and 14- and 30-day post-discharge cardiology follow-up. RESULTS: There were 79 patients admitted with CHF to GMS during the intervention period, all of whom received the intervention. There were similar rates of Black and Latinx patients across the three groups. Compared to pre-intervention, intervention patients had a significantly lower 30-day readmission rate (18.9% vs. 24.8%; p=0.024), though the cardiology group also had a decrease in 30-day readmissions from the pre-intervention to intervention period. Compared to pre-intervention, intervention patients had significantly higher 14-day and 30-day post-discharge follow-up visits scheduled with cardiology (36.7% vs. 24.8%, p=0.005; 55.7% vs. 42.3%, p=0.0029), but no improvement in appointment attendance. CONCLUSION: This study provides a first test of applying the PHCRP framework within a stakeholder-engaged QI initiative for improving CHF care across races and ethnicities. Our study design cannot evaluate causation. However, the improvements in 30-day readmission, as well as in processes of care that may affect it, provide optimism that inclusion of a racism-conscious framework in QI initiatives is feasible and may enhance QI measures.

Predictors of Completion of Clinically Necessary Radiologist-Recommended Follow-Up Imaging: Assessment Using an Automated Closed-Loop Communication and Tracking Tool.

BACKGROUND. Patients with adverse social determinants of health may be at increased risk of not completing clinically necessary follow-up imaging. OBJECTIVE. The purpose of this study was to use an automated closed-loop communication and tracking tool to identify patient-, referrer-, and imaging-related factors associated with lack of completion of radiologist-recommended follow-up imaging. METHODS. This retrospective study was performed at a single academic health system. A tool for automated communication and tracking of radiologist-recommended follow-up imaging was embedded in the PACS and electronic health record. The tool prompted referrers to record whether they deemed recommendations to be clinically necessary and assessed whether clinically necessary follow-up imaging was pursued. If imaging was not performed within 1 month after the intended completion date, the tool prompted a safety net team to conduct further patient and referrer follow-up. The study included patients for whom a follow-up imaging recommendation deemed clinically necessary by the referrer was entered with the tool from October 21, 2019, through June 30, 2021. The electronic health record was reviewed for documentation of eventual completion of the recommended imaging at the study institution or an outside institution. Multivariable logistic regression analysis was performed to identify factors associated with completion of follow-up imaging. RESULTS. Of 5856 recommendations entered during the study period, the referrer agreed with 4881 recommendations in 4599 patients (2929 women, 1670 men; mean age, 61.3 ± 15.6 years), who formed the study sample. Follow-up was completed for 74.8% (3651/4881) of recommendations. Independent predictors of lower likelihood of completing follow-up imaging included living in a socioeconomically disadvantaged neighborhood according to the area deprivation index (odds ratio [OR], 0.67 [95% CI, 0.54-0.84]), inpatient (OR, 0.25 [95% CI, 0.20-0.32]) or emergency department (OR, 0.09 [95% CI, 0.05-0.15]) care setting, and referrer surgical specialty (OR, 0.70 [95% CI, 0.58-0.84]). Patient age, race and ethnicity, primary language, and insurance status were not independent predictors of completing follow-up (p > .05). CONCLUSION. Socioeconomically disadvantaged patients are at increased risk of not completing recommended follow-up imaging that referrers deem clinically necessary. CLINICAL IMPACT. Initiatives for ensuring completion of follow-up imaging should be aimed at the identified patient groups to reduce disparities in missed and delayed diagnoses.

Ambulatory Medication Safety: Vaccination and Laboratory Screening for Patients Receiving Immunomodulatory Therapies.

OBJECTIVE: Immunomodulatory therapies improve the management of chronic diseases but can be associated with infectious risk. The present study was undertaken to examine the laboratory screening practices for hepatitis B virus (HBV), hepatitis C virus (HCV), and tuberculosis (TB) and rates of vaccination for pneumococcal and influenza in patients prescribed select immunosuppressive agents at our institution. METHODS: A retrospective analysis was conducted to review patients who were prescribed a select immunosuppressive over 3 years. Data were extracted from electronic health records to identify rates of screening and vaccination prior to initiation or at any time. Logistic regression models were developed to identify predictors of screening and vaccination. RESULTS: We identified 2,396 patients prescribed immunosuppressive medications by rheumatology (52.6%) and non-rheumatology specialties. Rates of screening at any time point were 84.5% (2,025 of 2,396) for HBV, 76.7% (1,838 of 2,396) for HCV, and 71.8% (1,720 of 2,396) for TB. Patients who had either in-system primary care providers (PCPs) or rheumatologists were more likely to receive pneumococcal vaccinations (odds ratio [OR] 1.98 [95% confidence interval (95% CI) 1.55-2.54] and OR 4.08 [95% CI 2.76-6.02], respectively). Patients with dermatologic (OR 1.67 [95% CI 1.14-2.45]) or rheumatologic providers (OR 2.5 [95% CI 1.86-3.36]) were more likely to be vaccinated for influenza. CONCLUSION: More than 70% of patients were screened for either HBV, HCV, or TB at some point. Rates of pneumococcal vaccination were better than rates of influenza vaccination. Patients with in-system PCPs were more likely to be screened and vaccinated. Establishing and executing consistent processes for screening and vaccination prior to immunosuppressive treatment remains a priority in ambulatory settings.

Pregnancy Intention Screening in Patients With Systemic Rheumatic Diseases: Pilot Testing a Standardized Assessment Tool.

OBJECTIVE: Systemic rheumatic conditions affect reproductive-aged patients and often require potentially teratogenic medications. We assessed the feasibility and impact of a standardized pregnancy intention screening question (One Key Question [OKQ]) in a large academic rheumatology practice. METHODS: This 6-month pilot quality improvement initiative prompted rheumatologists to ask female patients aged 18 to 49 years about their pregnancy intentions using OKQ. We administered surveys to assess rheumatologists' barriers to and comfort with reproductive health issues. We performed chart reviews to assess uptake and impact on documentation, comparing charts with OKQ documented with 100 randomly selected charts eligible for pregnancy intention screening but without OKQ documented. RESULTS: When we compared 32 of 43 preimplementation responses with 29 of 41 postimplementation responses, the proportion of rheumatologists who reported they were very comfortable with assessing their patients' reproductive goals increased (31%-38%) and the proportion reporting obstetrics and gynecology (OB/GYN) referral challenges as barriers to discussing reproductive goals decreased (41%-21%). During the implementation period, 83 of 957 (9%) eligible patients had OKQ documented in their chart. Female providers were more likely to screen than male providers (odds ratio 2.42, 95% confidence interval 1.21-4.85). Screened patients were more likely to have their contraceptive method documented (P < 0.001) and more likely to have been referred to OB/GYN for follow-up (P = 0.003) compared with patients who were not screened with OKQ. CONCLUSION: Although uptake was low, this tool improved provider comfort with assessing reproductive goals, the quality of documentation, and the likelihood of OB/GYN referral. Future studies should examine whether automated medical record alerts to prompt screening increase uptake.

Ambulatory Virtual Care During a Pandemic: Patient Safety Considerations.

BACKGROUND: The COVID-19 pandemic prompted sudden and fundamental changes in health care, including a rapid rise in the utilization of telehealth services in the ambulatory setting. With the unprecedented and significant decline in traditional office-based visits and procedures, novel patient safety risks and challenges emerged. METHODS: The ambulatory practices at our quaternary care, academic medical center experienced a 200-fold increase in virtual visit volume between February and April 2020. We convened a multidisciplinary working group dedicated to evaluating quality and safety when providing virtual visits during a pandemic. Our primary outcome was patient experience with virtual care delivery, which was assessed by leveraging patient complaint data and patient satisfaction survey data. RESULTS: For our main focus of patient experience and satisfaction, survey data were analyzed from the approximately 76,616 virtual visit encounters that occurred between March 1, 2020, and April 21, 2020. During this period, 5 patient complaints were filed to the Patient Advocacy Department. Overall, patient satisfaction with telehealth remained stable and high at >93% from February to May 2020. As we assessed these data each month, our working group developed risk mitigation strategies in response to the novel challenges presented by the use of telemedicine due to the COVID-19 pandemic while working to maintain patient satisfaction with care. We identified quality and safety issues around patient factors including optimal triage of patients and use of technology. We also evaluated accessibility to virtual platforms and logistics such as coordination of care for diagnostic testing. Finally, a guidance document was created and communicated to our diverse ambulatory practices to support clinicians. CONCLUSIONS: Ambulatory virtual care delivery requires a dynamic, flexible model of care through continuous rapid-cycle process improvement to mitigate patient safety risks during a pandemic, incorporating both provider and patient perspectives.

A Quality Improvement Intervention Leveraging a Safety Net Model for Surveillance Colonoscopy Completion.

Systems to address follow-up testing of clinically positive surveillance colonoscopy results are lacking. The impact of an ambulatory safety net (ASN) intervention on rates of colonoscopy completion was assessed. The ASN team identified patients using an electronic registry, conducted patient outreach, coordinated care, and tracked colonoscopy completion. In all, 701 patients were captured in the ASN program: 58.1% (407/701) had possible barriers to follow-up colonoscopy completion, with rates of 80.1% (236/294) if no barrier, and 40.9% (287/701) overall. Colonoscopy completion likelihood increased with prior polypectomy (odds ratio [OR], 1.6; 95% confidence interval [CI], 1.1-2.3), and decreased with White race (OR, 0.5; 95% CI, 0.3-0.9), increased inpatient visits (OR, 0.6; 95% CI, 0.4-0.9), more outreach attempts (OR, 0.6; 95% CI, 0.5-0.7), and fair/poor/inadequate preparation (OR, 0.4; 95% CI, 0.2-0.7) in logistic regression models. An ASN model for quality improvement promotes colonoscopy completion rates and identifies patient barriers.

Controlled Study of Decision-Making Algorithms for Kidney Replacement Therapy Initiation in Acute Kidney Injury.

BACKGROUND AND OBJECTIVES: AKI requiring KRT is associated with high mortality and utilization. We evaluated the use of an AKI Standardized Clinical Assessment and Management Plan (SCAMP) on patient outcomes, including mortality, hospital length of stay, and intensive care unit length of stay. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We conducted a 12-month controlled study in the intensive care units of a large academic tertiary medical center. We alternated use of the AKI-SCAMP with use of a "sham" control form in 4- to 6-week blocks. The primary outcome was risk of inpatient mortality. Prespecified secondary outcomes included 30- and 60-day mortality, hospital length of stay, and intensive care unit length of stay. Generalized estimating equations were used to estimate the effect of the AKI-SCAMP on mortality and length of stay. RESULTS: There were 122 patients in the AKI-SCAMP group and 102 patients in the control group. There was no significant difference in inpatient mortality associated with AKI-SCAMP use (41% versus 47% control). AKI-SCAMP use was associated with significantly reduced intensive care unit length of stay (mean, 8; 95% confidence interval, 8 to 9 days versus mean, 12; 95% confidence interval, 10 to 13 days; P<0.001) and hospital length of stay (mean, 25; 95% confidence interval, 22 to 29 days versus mean, 30; 95% confidence interval, 27 to 34 days; P=0.02). Patients in the AKI-SCAMP group were less likely to receive KRT in the context of physician-perceived treatment futility than those in the control group (2% versus 7%; P=0.003). CONCLUSIONS: Use of the AKI-SCAMP tool for AKI KRT was not significantly associated with inpatient mortality, but was associated with reduced intensive care unit length of stay, hospital length of stay, and use of KRT in cases of physician-perceived treatment futility. CLINICAL TRIAL REGISTRY NAME AND REGISTRATION NUMBER: Acute Kidney Injury Standardized Clinical Assessment and Management Plan for Renal Replacement Initiation, NCT03368183. PODCAST: This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2022_02_07_CJN02060221.mp3.

Harnessing Event Report Data to Identify Diagnostic Error During the COVID-19 Pandemic.

INTRODUCTION: COVID-19 exposed systemic gaps with increased potential for diagnostic error. This project implemented a new approach leveraging electronic safety reporting to identify and categorize diagnostic errors during the pandemic. METHODS: All safety event reports from March 1, 2020, to February 28, 2021, at an academic medical center were evaluated using two complementary pathways (Pathway 1: all reports with explicit mention of COVID-19; Pathway 2: all reports without explicit mention of COVID-19 where natural language processing [NLP] plus logic-based stratification was applied to identify potential cases). Cases were evaluated by manual review to identify diagnostic error/delay and categorize error type using a recently proposed classification framework of eight categories of pandemic-related diagnostic errors. RESULTS: A total of 14,230 reports were included, with 95 (0.7%) identified as cases of diagnostic error/delay. Pathway 1 (n = 1,780 eligible reports) yielded 45 reports with diagnostic error/delay (positive predictive value [PPV] = 2.5%), of which 35.6% (16/45) were attributed to pandemic-related strain. In Pathway 2, the NLP-based algorithm flagged 110 safety reports for manual review from 12,450 eligible reports. Of these, 50 reports had diagnostic error/delay (PPV = 45.5%); 94.0% (47/50) were related to strain. Errors from all eight categories of the taxonomy were found on analysis. CONCLUSION: An event reporting-based strategy including use of simple-NLP-identified COVID-19-related diagnostic errors/delays uncovered several safety concerns related to COVID-19. An NLP-based approach can complement traditional reporting and be used as a just-in-time monitoring system to enable early detection of emerging risks from large volumes of safety reports.

Electronic Health Record Transition and Impact on Screening Test Follow-Up.

INTRODUCTION: Nonurgent clinically significant test results (CSTRs) are a common cause of missed and delayed diagnoses. However, little is known about the impact of electronic health record (EHR) transitions on CSTR follow-up. This study examines follow-up rates for three CSTRs (incidental pulmonary nodules [IPNs]), prostate-specific antigen [PSA], and Pap smears) before and after EHR transition. METHODS: This is a retrospective cohort study at an urban tertiary medical center using an interrupted time series (ITS) design to assess monthly changes in CSTR follow-up-defined as completion of computed tomography chest imaging 5 to 13 months after first mention of an IPN in a radiology report; completion of a follow-up PSA test, urology visit, or prostate biopsy within 6 months of the first reported PSA > 4; or completion of a colposcopy or gynecology visit within 6 months of a first reported abnormal Pap smear. Patients were included with first-onset abnormal CSTRs for IPN, PSAs > 4, or abnormal Pap smears occurring in the 24 months before and after the EHR transition. RESULTS: There were no significant differences in follow-up in the IPN or the Pap smear ITS models. In the PSA ITS model, follow-up was significantly decreasing (p = 0.0133) in the preintervention period, and there was a significant change in trend from intervention to postintervention (p = 0.0279). CONCLUSION: EHR transition reversed a decreasing trend over time for PSA test follow-up, while IPN and Pap smear follow-up trends did not change significantly. Effects of EHR transition may differ by test studied.

RADAR: A Closed-Loop Quality Improvement Initiative Leveraging A Safety Net Model for Incidental Pulmonary Nodule Management.

BACKGROUND: This study was conducted to assess whether patients with incidental pulmonary nodules (IPNs) received timely follow-up care after implementation of a quality improvement (QI) initiative between radiologists and primary care providers (PCPs). METHODS: A QI study was conducted at an academic medical center for IPNs identified on chest imaging ordered by PCPs, performed between February 1, 2017, and March 31, 2019, and with at least one-year follow-up. A QI initiative, RADAR (Radiology Result Alert and Development of Automated Resolution), was implemented on March 1, 2018, consisting of (1) a novel, electronic communication tool enabling radiologist-generated alerts with time frame and modality for IPN follow-up recommendations, and (2) a safety net team for centralized care coordination to ensure that communication loops were closed. A preintervention IPN cohort was generated through a natural language processing (NLP) algorithm for radiology reports paired with manual chart review. A postintervention IPN cohort was identified using alerts captured in RADAR. The primary outcome was percentage of IPN follow-up alerts resolved on time (defined as receiving follow-up care within the recommended time frame), comparing pre- and postintervention IPN cohorts. Secondary outcomes included agreement between PCPs and radiologists on the recommended follow-up care plan. RESULTS: A total of 218 IPN alerts were assessed following exclusions: 110 preintervention and 108 postintervention. IPN timely follow-up improved from 64.5% (71/110) to 84.3% (91/108) (p = 0.001). Postintervention, there was 87.0% (94/108) agreement between PCPs and radiologists on the recommended follow-up plan. CONCLUSION: The RADAR QI initiative was associated with increased timely IPN follow-up. This safety net model may be scaled to other radiology findings and clinical care settings.

Improving hepatitis B vaccination rates for advanced chronic kidney disease patients: a quality improvement initiative.

INTRODUCTION: Chronic kidney disease (CKD) patients are vulnerable to hepatitis B, and immunization prior to end stage kidney disease is recommended to optimize seroconversion. Our institution undertook a process improvement approach to increase hepatitis B vaccination in stage 4 and 5 CKD patients. METHODS: Four strategies were utilized such as: (1) Electronic health record (EHR)-based CKD registry to identify patients, (2) EHR-based physician/nurse reminders, (3) a co-located nurse appointment for vaccine administration, and (4) information sharing and provider awareness effort. The CKD registry was utilized to identify patients with stage 4 or 5 CKD, with at least two clinic visits in the prior 2 years, who had not received the hepatitis B vaccine or did not have serologic evidence of immunity. Target monthly vaccination rate was set at 75%, based on clinic leadership, nephrologist, and nurse consensus. RESULTS: A total of 239 patients were included in the study period, from November 2018 to January 2019 (observation period) and from February 2019 to September 2019 (intervention period). Monthly vaccination rate improved from 48% in November 2018 to the target rate of 75% by the end of the intervention (August and September 2019). There was a statistically significant increase from the rate of vaccination at a unique patient level in the first month of the baseline period, compared to the last month of the intervention period (51 vs. 75% p = 0.03). CONCLUSIONS: Utilizing a nurse-led approach to hepatitis B vaccination, coupled with EHR-based tools, along with continuous monitoring of performance, helped to improve hepatitis B vaccination among CKD stage 4 and 5 patients.

Building an Ambulatory Safety Program at an Academic Health System.

BACKGROUND: Patient safety has traditionally focused on the inpatient setting; however, there is an increased awareness of ambulatory safety risk. However, successful strategies and programs to mitigate risk in the ambulatory setting are lacking. PROGRAM: In 2012, we started building a multidisciplinary ambulatory safety program at an academic health system. Our team was composed of clinical, administrative, and patient safety membership. Based on organizational needs, our program initially focused on the following: (1) safety reporting, (2) safety culture measurement, (3) medication safety, and (4) test result management. WHAT WE DID: We were able to develop initiatives around safety reporting, safety culture survey administration, and medication safety and begin to work on test result management. Internal metrics were developed to measure performance and to drive improvement. SAFETY REPORTING: When evaluating our ambulatory safety reports, we discovered that less than one-third of staff filing safety reports requested feedback. From 2013 to 2018, we tested various strategies to increase the rates of feedback to staff and ultimately found that a decentralized process that was supported by the ambulatory safety program could achieve rates of feedback of 90%. SAFETY CULTURE MEASUREMENT: We administered the Agency for Healthcare Research and Quality Medical Office Survey in 2012, 2014, and 2016, achieving a more than 70% response rate across 70 unique ambulatory areas. Data from these surveys were shared with senior hospital leadership, local departmental directors, and managers and ultimately with frontline staff focusing on two key survey areas: communication openness and communication about error. MEDICATION SAFETY: From 2012 to 2014, our rates of ambulatory medication reconciliation increased to more than 90% in both primary care and specialty practices in our homegrown electronic medical record system. From 2015 to 2016, rates of ambulatory medication reconciliation in our new vendor-based electronic medical record were 73% as of August 2017. CONCLUSIONS: We were able to build an infrastructure to focus and support ambulatory safety efforts on safety reporting, safety culture change, and medication reconciliation with a team dedicated to ambulatory-focused safety risks and encountered many challenges along the way. Currently, we are expanding our program to concentrate on test result follow-up to prevent missed and delayed diagnosis and medication error reduction.

Treat-to-Target Approach in Rheumatoid Arthritis: A Quality Improvement Trial.

OBJECTIVE: Using a quality improvement approach, our objective was to integrate a treat-to-target approach for rheumatoid arthritis (RA) through routine electronic collection of patient-reported disease activity scores and a multidisciplinary learning collaborative for rheumatologists. METHODS: RA patients completed a patient-reported outcome measure, the Routine Assessment of Patient Index Data 3 (RAPID3), at check-in. Nine rheumatologists and their patients were allocated to a learning collaborative intervention group focused on a treat-to-target approach and 13 were allocated to a control group. The primary outcome was documentation of a treat-to-target implementation score: disease activity score, disease activity score used in the medication change decision, the presence of a treatment target, and an indication of shared decision-making. A primary analysis of patient visits with medication changes was conducted using an interrupted time-series analysis. RESULTS: We studied 554 individual rheumatology patients with 709 patient visits. Treat-to-target implementation scores among intervention rheumatologists (mean ± SD 44.6% ± 1.63%) were 12.4% higher than in the control group (mean ± SD 32.2% ± 1.50%; P < 0.0001). We observed differences in treat-to-target implementation score components, comparing intervention group to control group rheumatologists: disease activity score present, 77.2% versus 68.0% (P = 0.02); disease activity score used in the medication change decision, 45.2% versus 30.0% (P < 0.01); treatment target, 9.0% versus 0.4% (P < 0.01); and shared decision-making, 46.9% versus 30.0% (P < 0.01). Secondary analysis of patient visits with high RAPID3 scores found that medication changes were 54% less likely in the intervention versus control group (odds ratio 0.46 [95% confidence interval 0.27-0.79], P = 0.005). CONCLUSION: This nonrandomized, interrupted time-series trial demonstrated a modest but significant impact of a learning collaborative intervention on rheumatologist documentation of a treat-to-target approach in RA.