Automated Procedure Logs for Cardiology Fellows: A New Training Paradigm in the Era of Electronic Health Records.

BACKGROUND: Procedural experience for residents and fellows is critical for achieving competence, and documentation of procedures performed is required. Procedure logs serve as the record of this experience, but are commonly generated manually, require substantial administrative effort, and cannot be corroborated for accuracy. OBJECTIVE: We developed and implemented a structured clinical-educational report template (CERT), which automatically generates procedure logs directly from the clinical record. METHODS: Our CERT aimed to replace the post-procedure note template for our cardiac catheterization laboratory and was incorporated into the electronic health record system. Numbers of documented procedures in automated CERT-derived procedure logs over a 1-year post-intervention period (2018-2019) were compared to manual logs and corrected for clinical volume changes. The CERT's impact on fellowship experience was also assessed. RESULTS: Automated CERT procedure logs increased weekly procedural documentation over manual procedure logs for total procedures (24.2 ± 6.1 vs 17.1 ± 6.8, P = .007), left heart catheterizations (14.5 ± 3.6 vs 10.8 ± 4.2, P = .039), total procedural elements (40.2 ± 11.4 versus 20.9 ± 12.5, P < .001), and captured procedural details not previously documented. The CERT also reduced self-reported administrative time and improved fellowship experience. CONCLUSIONS: A novel CERT allows procedure logs to be automatically derived from the clinical record and increased the number of documented procedures, compared to manual logging. This innovation ensures an accurate record of procedural experience and reduces self-reported non-educational administrative time for cardiology fellows.

A Mobile App to Facilitate Socially Distanced Hospital Communication During COVID-19: Implementation Experience.

BACKGROUND: COVID-19 has significantly altered health care delivery, requiring clinicians and hospitals to adapt to rapidly changing hospital policies and social distancing guidelines. At our large academic medical center, clinicians reported that existing information on distribution channels, including emails and hospital intranet posts, was inadequate to keep everyone abreast with these changes. To address these challenges, we adapted a mobile app developed in-house to communicate critical changes in hospital policies and enable direct telephonic communication between clinical team members and hospitalized patients, to support social distancing guidelines and remote rounding. OBJECTIVE: This study aimed to describe the unique benefits and challenges of adapting an app developed in-house to facilitate communication and remote rounding during COVID-19. METHODS: We adapted moblMD, a mobile app available on the iOS and Android platforms. In conjunction with our Hospital Incident Command System, resident advisory council, and health system innovation center, we identified critical, time-sensitive policies for app usage. A shared collaborative document was used to align app-based communication with more traditional communication channels. To minimize synchronization efforts, we particularly focused on high-yield policies, and the time of last review and the corresponding reviewer were noted for each protocol. To facilitate social distancing and remote patient rounding, the app was also populated with a searchable directory of numbers to patient bedside phones and hospital locations. We monitored anonymized user activity from February 1 to July 31, 2020. RESULTS: On its first release, 1104 clinicians downloaded moblMD during the observation period, of which 46% (n=508) of downloads occurred within 72 hours of initial release. COVID-19 policies in the app were reviewed most commonly during the first week (801 views). Users made sustained use of hospital phone dialing features, including weekly peaks of 2242 phone number dials, 1874 directory searches, and 277 patient room phone number searches through the last 2 weeks of the observation period. Furthermore, clinicians submitted 56 content- and phone number-related suggestions through moblMD. CONCLUSIONS: We rapidly developed and deployed a communication-focused mobile app early during COVID-19, which has demonstrated initial and sustained value among clinicians in communicating with in-patients and each other during social distancing. Our internal innovation benefited from our team's familiarity with institutional structures, short feedback loops, limited security and privacy implications, and a path toward sustainability provided by our innovation center. Challenges in content management were overcome through synchronization efforts and timestamping review. As COVID-19 continues to alter health care delivery, user activity metrics suggest that our solution will remain important in our efforts to continue providing safe and up-to-date clinical care.

SALAD-BAAR: A numerical risk score for hospital admission or emergency department presentation in ambulatory patients with cardiovascular disease.

BACKGROUND: While many interventions to reduce hospital admissions and emergency department (ED) visits for patients with cardiovascular disease have been developed, identifying ambulatory cardiac patients at high risk for admission can be challenging. HYPOTHESIS: A computational model based on readily accessible clinical data can identify patients at risk for admission. METHODS: Electronic health record (EHR) data from a tertiary referral center were used to generate decision tree and logistic regression models. International Classification of Disease (ICD) codes, labs, admissions, medications, vital signs, and socioenvironmental variables were used to model risk for ED presentation or hospital admission within 90 days following a cardiology clinic visit. Model training and testing were performed with a 70:30 data split. The final model was then prospectively validated. RESULTS: A total of 9326 patients and 46 465 clinic visits were analyzed. A decision tree model using 75 patient characteristics achieved an area under the curve (AUC) of 0.75 and a logistic regression model achieved an AUC of 0.73. A simplified 9-feature model based on logistic regression odds ratios achieved an AUC of 0.72. A further simplified numerical score assigning 1 or 2 points to each variable achieved an AUC of 0.66, specificity of 0.75, and sensitivity of 0.58. Prospectively, this final model maintained its predictive performance (AUC 0.63-0.60). CONCLUSION: Nine patient characteristics from routine EHR data can be used to inform a highly specific model for hospital admission or ED presentation in cardiac patients. This model can be simplified to a risk score that is easily calculated and retains predictive performance.

Home Inotropes in Patients Supported with Left Ventricular Assist Devices.

There is little data outlining the use of outpatient inotropic medications in patients with existing left ventricular assist devices (LVADs). This case series explores this patient population and seeks to define the indications, complications, and safety of dual support. A retrospective chart review was conducted for all patients on LVAD and then subsequently started on home inotropes post device implant. Eight patients met inclusion criteria. The indications for inotropes were right ventricular failure, aortic insufficiency with biventricular failure, LVAD thrombosis with contraindication to device exchange, and cannula malposition with elevated pulmonary vascular resistance. Mean duration of combined support was 273 ± 170 days. Cardiac index improved from 1.96 ± 0.24 to 2.31 ± 0.35 L/min/m(2) after inotropes (p = 0.02). There was no change in hospital admissions. The most common reason for readmission was heart failure symptoms, followed by bleeding. Five patients died during the study period, one underwent heart transplant, and two remain on inotropic support. Home inotropes may be indicated in selected continuous flow left ventricular assist device (CF-LVAD) patients with refractory right ventricular failure or impaired LVAD function. Inotropes can improve hemodynamics and provide palliation of symptoms. However, long-term inotrope use does not reduce hospital readmissions and is associated with multiple complications related to the need for an indwelling intravenous line.

Association of Rising Violent Crime With Blood Pressure and Cardiovascular Risk: Longitudinal Evidence From Chicago, 2014-2016.

BACKGROUND: The purpose of this study was to examine the longitudinal association between rising violent crime and elevated blood pressure (BP). METHODS: We analyzed 217,816 BP measurements from 17,783 adults during a temporal surge in violent crime in Chicago (2014-2016). Serial observations were abstracted from the electronic health record at an academic medical center and paired to the City of Chicago Police Data Portal. The violent crime rate (VCR) was calculated as the number of violent crimes per 1,000 population per year for each census tract. Longitudinal multilevel regression models were implemented to assess elevated BP (systolic BP ≥ 140 mm Hg or diastolic BP ≥ 90 mm Hg) as a function of the VCR, adjusting for patient characteristics, neighborhood characteristics, and time effects. Secondary dependent measures included elevated heart rate, obesity, missed outpatient appointments, all-cause hospital admissions, and cardiovascular hospital admissions. RESULTS: At baseline, the median VCR was 41.3 (interquartile range: 15.2-66.8), with a maximum rise in VCR of 59.1 over the 3-year surge period. A 20-unit rise in the VCR was associated with 3% higher adjusted odds of having elevated BP (95% confidence interval [CI]: 1.01-1.06), 8% higher adjusted odds of missing an outpatient appointment (95% CI: 1.03-1.13), and 6% higher adjusted odds of having a cardiovascular-related hospital admission (95% CI: 1.01-1.12); associations were not significant for elevated heart rate and obesity. CONCLUSION: Rising violent crime was associated with increased BP during a temporal crime surge.

PCI in Patients Supported With CF-LVADs: Indications, Safety, and Outcomes.

PURPOSE: Patients with heart failure supported with left ventricular assist devices (LVADs) may require coronary intervention during their support. This case series seeks to explore the indications, safety, and outcomes of percutaneous coronary intervention (PCI) in this population. METHODS: Electronic medical records of patients with LVADs undergoing PCI at a large academic medical center were reviewed. Demographics, reason for PCI, procedural success, complications, and outcomes were collected. RESULTS: From 2010-2014, a total of 6 patients underwent PCI post LVAD implantation. Three patients had PCI in the early postimplantation period (1-3 days post LVAD implantation) while the other three received it later in the LVAD support period. Three indications for PCI were found in the reviewed cases: right ventricular failure (right coronary artery stenting), bridge to left ventricular recovery, and ventricular tachycardia (VT) storm. All patients were maintained on triple blood thinning therapy (aspirin, clopidogrel, and warfarin). There were no acute complications during the interventions; however, 2 patients died in the early intervention period and 2 died much later. The 2 deaths in the early intervention period were related to fatal gastrointestinal bleeding while on dual-antiplatelet therapy and warfarin, and intractable VT that PCI did not correct. The 2 deaths in the late postintervention period occurred due to unknown causes nearly 1 and 2 years post intervention, respectively. CONCLUSIONS: PCI was performed in patients with continuous-flow LVAD with several possible indications and without acute complications. The utility of PCI in this patient population, however, is likely limited by the risk of bleeding related to combined antiplatelet and anticoagulation therapies as well as lack of immediate apparent benefit. Further studies are necessary to better characterize this risk as well as quantify any potential long-term benefits.