Structure and Funding of Clinical Informatics Fellowships: A National Survey of Program Directors.

BACKGROUND: In 2011, the American Board of Medical Specialties established clinical informatics (CI) as a subspecialty in medicine, jointly administered by the American Board of Pathology and the American Board of Preventive Medicine. Subsequently, many institutions created CI fellowship training programs to meet the growing need for informaticists. Although many programs share similar features, there is considerable variation in program funding and administrative structures. OBJECTIVES: The aim of our study was to characterize CI fellowship program features, including governance structures, funding sources, and expenses. METHODS: We created a cross-sectional online REDCap survey with 44 items requesting information on program administration, fellows, administrative support, funding sources, and expenses. We surveyed program directors of programs accredited by the Accreditation Council for Graduate Medical Education between 2014 and 2021. RESULTS: We invited 54 program directors, of which 41 (76%) completed the survey. The average administrative support received was $27,732/year. Most programs (85.4%) were accredited to have two or more fellows per year. Programs were administratively housed under six departments: Internal Medicine (17; 41.5%), Pediatrics (7; 17.1%), Pathology (6; 14.6%), Family Medicine (6; 14.6%), Emergency Medicine (4; 9.8%), and Anesthesiology (1; 2.4%). Funding sources for CI fellowship program directors included: hospital or health systems (28.3%), clinical departments (28.3%), graduate medical education office (13.2%), biomedical informatics department (9.4%), hospital information technology (9.4%), research and grants (7.5%), and other sources (3.8%) that included philanthropy and external entities. CONCLUSION: CI fellowships have been established in leading academic and community health care systems across the country. Due to their unique training requirements, these programs require significant resources for education, administration, and recruitment. There continues to be considerable heterogeneity in funding models between programs. Our survey findings reinforce the need for reformed federal funding models for informatics practice and training.

A Career Life-Cycle Perspective on Women's Health and Safety: Insights From the Defense Health Board Report on Military Women's Health.

OBJECTIVE: Women's health has demanded more attention from employers as women integrated into the workforce. Traditionally male-dominant fields and occupations require special attention to workplace design, physical standards for entry, employment practices, equipment, and health monitoring. This editorial summarizes the Defense Health Board's (DHB) review of Active Duty Women's Health and its recommendations grounded in a woman's career life-cycle. METHODS: The DHB reviewed the Department of Defense and foreign militaries' current women's health services, relevant policies and practices, peer-reviewed scientific literature, and subject matter expert interviews. RESULTS: The DHB's recommendations centered on a comprehensive approach to education, health care access and treatment, professional workforce development, workplace standards and equipment, and accountable outcomes metrics to guide improvement. CONCLUSIONS: Employers can learn how to reduce morbidity, leading to a healthier and more productive female workforce.

National Trends in Daily Ambulatory Electronic Health Record Use by Otolaryngologists.

OBJECTIVE: Since their development in the 1970s electronic health records (EHRs) are now nearly ubiquitous. This study aims to characterize the daily interactions of otolaryngology providers with EHRs. METHODS: This study was a cross-sectional review of provider efficiency profile (PEP) data, as collected by a major EHR vendor. Participating institutions had 6 months of de-identified PEP data reviewed starting January 1, 2019. PEP data is generated for providers with scheduled patients, both attendings and advanced practice providers (APPs). Time metrics are recorded when a provider is interacting with the EHR including a 5-second time-out for inactivity. RESULTS: Data on 269 otolaryngologists and 29 APPs from 10 institutions were evaluated. On scheduled ambulatory clinic days attendings spent 70 ± 36 (mean ± standard deviation) min interacting in the EHR versus 108 ± 46 min for APPs. Of the daily EHR time, mean time in notes, clinical review, in basket, orders, and schedule were 30.1 ± 19.4, 9.6 ± 6.1, 7.3 ± 5.8, and 5.8 ± 7.6 min, respectively. Per patient visit, median (interquartile range) time in notes, clinical review, and orders were 3.19 (2.2-4.9), 1.14 (0.63-1.8), and 0.70 (0.47-1.05) min, respectively. Mean progress note length was 4638 ± 2143 characters. CONCLUSION: Otolaryngology providers spend a meaningful portion of their clinic day interacting with the EHR. PEP data may provide means to target interventions and a metric to measure the impact of those interventions on provider EHR efficiency. LEVEL OF EVIDENCE: 3 Laryngoscope, 131:975-981, 2021.

EMR quantity autopopulation removal on hospital discharge prescribing patterns: Implications for opioid stewardship.

WHAT IS KNOWN AND OBJECTIVE: Prescription drug stewardship is critical. Autopopulation(AP) of medication quantities may influence prescriber behaviour. We investigate the impact of AP removal(APR) on opioid prescribing. METHODS: Inpatient and emergency department(ED) discharges with opioid pain medications 2 years before and after APR were identified. Milligrams of morphine equivalents(MMEs) prescribed were recorded. Group comparisons were performed using Mann-Whitney U tests. Spearman's rho was used to analyse correlations between pain level and quantity of prescribed opioids. Mann-Kendall tests assessed trends in prescription patterns. Generalized estimating equations assessed trends in total quantity of prescribed MME. RESULTS AND DISCUSSION: A total of 53 608 patient encounters were included for analysis. In surgical patients, there were no trends in the frequency of prescriptions below, at or above the AP quantity pre-APR. Post-APR, there was a decrease in the percentage of prescriptions written for the AP quantity(τ = -.493, P = .001) and an increase in prescriptions for <30 tablets(τ = .468,P = .001). In non-operative patients, the pre-APR period was associated with a lower percentage of prescriptions >30 tablets and a greater percentage of prescriptions for <30 tablets. Interestingly, APR reversed this trend in prescriptions for >30 tablets and resulted in an increase in larger prescriptions. Multivariate analysis of the total prescribed quantity of MME found no significant trend across months for inpatients prior to and after APR (0.997, P = .065 and 1.003, P = .142; respectively). The ED model found a monthly downward trend in amount of prescribed MME prior to and after APR (0.986, P < .001 and 0.990, P < .001; respectively). In the inpatient setting, pain was positively correlated to discharge MME (ρ = .028, P < .001); with those reporting the highest pain receiving the greatest amount of opioids both pre- and post-APR. Interestingly, in the ED, this finding was negatively correlated (ρ = -.086, P < .001); with those reporting the lowest pain receiving the greatest amount of opioids both pre- and post-APR. WHAT IS NEW AND CONCLUSIONS: AP removal may have unintended consequences, such as increased prescriptions for greater quantities. To drive down prescription amounts, lower anchor values may be of more utility than APR. The poor correlation of pain values with prescribed medications warrants further investigation.

The false vital sign: When pain levels are not predictive of discharge opioid prescriptions.

BACKGROUND: Pain gained recognition as a vital sign in the early 2000s, underscoring the importance of accurate documentation, characterization, and treatment of pain. No prior studies have demonstrated the utility of the 0-10 pain scale with respect to discharge opioid prescriptions, nor characterized the most influential factors in discharge prescriptions. METHODS: Inpatient and emergency department(ED) encounters from July 1, 2012 to April 1, 2018 resulting in a discharge prescription for tablet opioid medications were identified. The primary outcome was to determine if pain levels in 24 h prior to discharge correlated with opioids (in milligrams of morphine equivalents (MME)) prescribed. Secondary outcomes included the impact of patient and prescriber demographics, demographics. A generalized linear model was created to investigate factors affecting the quantity of prescribed opioids. RESULTS: n = 78,691 patient encounters. Overall mean adjusted MME for non-ED visits was 378 versus 197 for ED visits. Whites received the highest quantities; those identifying as non-white and non-black received the lowest. Women received significantly fewer discharge MMEs in both the ED and inpatient cohorts. Provider prescribing patterns exhibited the most profound effect on discharge MMEs. The most prolific (≥300 prescriptions over the study period) writing the largest amount. In the ED, there was a significant negative correlation between documented pain levels and discharge MMEs(ρ = 0.074,p < 0.001). CONCLUSIONS: Pain scale was significantly negatively correlated with discharge MMEs in the ED and positively correlated in the inpatient population. Individual prescriber characteristics were the more influential variable, with prolific high prescribers writing for the largest MME amounts. The inverse association of pain and MMEs at discharge in the ED, and the large effect pre-existing prescriber patterns exhibited, both improved methodology for assessing and appropriately treating pain, and effective prescriber-targeted interventions, must be a priority.

Integrating Medication Alert Data into a Clinical Data Repository to Enable Retrospective Study of Drug Interaction Alerts in Clinical Practice.

Current clinical data repositories primarily extract data from multiple administrative and electronic medical record (EMR) data resources (e.g., hospital and physician billing records) containing specific patient-level data including demographics, medications, laboratory results, diagnoses, and procedure codes. It overlooks the importance of EMR system-level data (e.g., medication alerts that are routinely used by physicians, nurses, and pharmacists for decision support) for the surveillance of EMR decision support tools. These medication alerts are a significant source of information for providers, to minimize avoidable adverse drug events. This study describes the integration of medication alert data into an i2b2-based clinical data repository to support the investigation of clinical events occurring around patients with anticoagulation treatment that triggered drug-drug interaction alerts. The integration of medication alerts allows us to repurpose the clinical and translational research infrastructure to conduct retrospective effectiveness surveillance of clinical decision support tools.

Improved sensitivity of electrocochleography in the diagnosis of Meniere's disease.

ECochG has long been shown to complement the diagnosis of MD, primarily through measurement of the SP/AP amplitude ratio. While reported in the literature to be highly specific to this disorder, ECochG's sensitivity in the general MD population remains relatively low (ranging from 20-65%). The current study assessed the sensitivity and specificity of the ECochG protocol we employ for suspected MD patients, which includes measuring both the amplitudes and areas of the SP and AP to clicks (to derive the SP/AP amplitude and area ratios), and the SP amplitudes to 1000 and 2000 Hz tone bursts. A retrospective chart review was conducted to compare ECochG results from 178 suspected MD patients with their eventual diagnoses. Measurements of highest sensitivity and specificity (determined using a logistic regression analysis) included: SP amplitude, SP area, SP/AP area ratio, and total SP-AP area. Sensitivity and specificity values associated with these measures were 92% and 84%, respectively. The sensitivity value is considerably higher than previously reported, and is attributable to the inclusion of area measurements in our protocol.

Utility of area curve ratio electrocochleography in early Meniere disease.

BACKGROUND: Electrocochleography (ECochG) is useful in supporting the diagnosis of Meniere disease (MD). Possible MD (early disease as defined by the 1995 American Academy of Otolaryngology-Head and Neck Surgery Committee on Hearing and Equilibrium) is a readily treatable form of MD. OBJECTIVES: To identify whether ECochG summating potential/action potential (SP/AP) area curve measures are more sensitive than conventional SP/AP amplitude ratios in detecting possible MD. PATIENTS AND METHODS: A retrospective chart review of a 3-year period (1997-2000) was conducted. All charts of patients diagnosed as having MD who had undergone tympanic ECochG were examined to identify those with possible MD. Exclusion criteria were incomplete workup, ECochG performed using a prior system, cochlear microphonic spike obscuring ratio measurements, and prior otologic surgery. A control group of patients with normal SP/AP ratios and ECochG data were identified. SP/AP amplitude and area curve ratios for both groups were measured. RESULTS: Of 138 patients with MD reviewed, 20 (14%) had possible MD, and 8 passed exclusion criteria. An audiologist blinded to patients' diagnoses performed all measurements. The upper limit of normal for SP/AP amplitude and area curve ratios from the control group of ears (n = 13) (alpha =.05) were similar to previously published results. Of the 8 patients with possible MD, 4 had an abnormal SP/AP amplitude ratio, and 7 had an abnormal SP/AP area curve ratio; the difference between groups was statistically significant (P =.03, chi2). CONCLUSIONS: The SP/AP area curve ratio significantly improves ECochG diagnostic sensitivity in possible MD. This ECochG refinement will allow earlier intervention to preserve inner ear function in MD.