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.

Missed Opportunities in Guideline-Based Fatty Liver Screening Among 3.5 Million Children.

OBJECTIVE: Determine screening rates and examine socio-demographic characteristics of metabolic dysfunction-associated steatotic liver disease (MAFLD) screening in a large population of obese children. METHODS: We used Explorys (IBM) which contains aggregated population-level electronic health record data from approximately 360 hospitals and 317,000 providers across the United States to determine MAFLD screening rates. In children 10 to 14 years, obesity was determined based on body mass index ≥ 95%, or encounter with an international classification of disease obesity code. We determined screening rates by calculating the percentage of children with obesity who had an alanine aminotransferase tested, further analyzed by gender, race, and insurance. RESULTS: Of 3,558,420 children, 513,170 (14.4%) were obese. Of obese children, only 9.3% were screened for MAFLD. Females were more likely screened than males (odds ratio (OR) 1.09 (95% confidence intervals (CI): 1.07-1.12)); White children were more likely screened than non-White children (OR 1.21 (95% CI: 1.18-1.23)), and children with Medicaid more likely screened than children with non-Medicaid insurance (OR 1.34 (95% CI: 1.32-1.37)). CONCLUSIONS: The percentage of obese children receiving screening for MAFLD was low. Female gender, White race, and Medicaid insurance were associated with increased screening rates. These findings highlight the need to increase adherence to MAFLD screening. Reporting screening as a health quality measure may reduce implementation gaps in MAFLD screening.

Asthma morbidity measures across Black ethnic subgroups.

BACKGROUND: Black adults are disproportionately affected by asthma and are often considered a homogeneous group in research studies despite cultural and ancestral differences. OBJECTIVE: We sought to determine if asthma morbidity differs across adults in Black ethnic subgroups. METHODS: Adults with moderate-severe asthma were recruited across the continental United States and Puerto Rico for the PREPARE (PeRson EmPowered Asthma RElief) trial. Using self-identifications, we categorized multiethnic Black (ME/B) participants (n = 226) as Black Latinx participants (n = 146) or Caribbean, continental African, or other Black participants (n = 80). African American (AA/B) participants (n = 518) were categorized as Black participants who identified their ethnicity as being American. Baseline characteristics and retrospective asthma morbidity measures (self-reported exacerbations requiring systemic corticosteroids [SCs], emergency department/urgent care [ED/UC] visits, hospitalizations) were compared across subgroups using multivariable regression. RESULTS: Compared with AA/B participants, ME/B participants were more likely to be younger, residing in the US Northeast, and Spanish speaking and to have lower body mass index, health literacy, and <1 comorbidity, but higher blood eosinophil counts. In a multivariable analysis, ME/B participants were significantly more likely to have ED/UC visits (incidence rate ratio [IRR] = 1.34, 95% CI = 1.04-1.72) and SC use (IRR = 1.27, 95% CI = 1.00-1.62) for asthma than AA/B participants. Of the ME/B subgroups, Puerto Rican Black Latinx participants (n = 120) were significantly more likely to have ED/UC visits (IRR = 1.64, 95% CI = 1.22-2.21) and SC use for asthma (IRR = 1.43, 95% CI = 1.06-1.92) than AA/B participants. There were no significant differences in hospitalizations for asthma among subgroups. CONCLUSIONS: ME/B adults, specifically Puerto Rican Black Latinx adults, have higher risk of ED/UC visits and SC use for asthma than other Black subgroups.

Reducing Disparities in No Show Rates Using Predictive Model-Driven Live Appointment Reminders for At-Risk Patients: a Randomized Controlled Quality Improvement Initiative.

BACKGROUND: Appointment no shows are prevalent in safety-net healthcare systems. The efficacy and equitability of using predictive algorithms to selectively add resource-intensive live telephone outreach to standard automated reminders in such a setting is not known. OBJECTIVE: To determine if adding risk-driven telephone outreach to standard automated reminders can improve in-person primary care internal medicine clinic no show rates without worsening racial and ethnic show-rate disparities. DESIGN: Randomized controlled quality improvement initiative. PARTICIPANTS: Adult patients with an in-person appointment at a primary care internal medicine clinic in a safety-net healthcare system from 1/1/2022 to 8/24/2022. INTERVENTIONS: A random forest model that leveraged electronic health record data to predict appointment no show risk was internally trained and validated to ensure fair performance. Schedulers leveraged the model to place reminder calls to patients in the augmented care arm who had a predicted no show rate of 15% or higher. MAINE MEASURES: The primary outcome was no show rate stratified by race and ethnicity. KEY RESULTS: There were 5840 appointments with a predicted no show rate of 15% or higher. A total of 2858 had been randomized to the augmented care group and 2982 randomized to standard care. The augmented care group had a significantly lower no show rate than the standard care group (33% vs 36%, p < 0.01). There was a significant reduction in no show rates for Black patients (36% vs 42% respectively, p < 0.001) not reflected in white, non-Hispanic patients. CONCLUSIONS: In this randomized controlled quality improvement initiative, adding model-driven telephone outreach to standard automated reminders was associated with a significant reduction of in-person no show rates in a diverse primary care clinic. The initiative reduced no show disparities by predominantly improving access for Black patients.

Disruption in seasonality, patient characteristics and disparities of respiratory syncytial virus infection among young children in the US during and before the COVID-19 pandemic: 2010-2022.

Respiratory syncytial virus (RSV) infections and hospitalization have surged sharply among young children. Here we test how the seasonal patterns of RSV infections in 2022 compared with those from other COVID-19 pandemic and pre-pandemic years. For this purpose, we analyzed a nation-wide and real-time database of electronic health records of 56 million patients across 50 states in the US. The monthly incidence rate of first-time RSV infection in young children (<5 years of age) and very young children (<1 year of age) followed a seasonal pattern from 2010 to 2019 with increases during the autumn, peaking in winter, subsiding in spring and summer. This seasonal pattern was significantly disrupted during the COVID-19 pandemic. In 2020, the incidence rate of RSV infections was remarkably low throughout the year. In 2021, the RSV season expanded to 9 months starting in the early summer and peaking in October. In 2022, RSV infections started to rise in May and were significantly higher than in previous years reaching a historically highest incidence rate in November 2022. There were significant racial and ethnic disparities in the peak RSV infection rate during 2010-2021 and the disparities further exacerbated in 2022 with peak incidence rate in black and Hispanic children 2-3 times that in white children. Among RSV-infected children in 2022, 19.2% had prior documented COVID-19 infection, significantly higher than the 9.7% among uninfected children, suggesting that prior COVID-19 could be a risk factor for RSV infection or that there are common risk factors for both viral infections. Our study calls for continuous monitoring of RSV infection in young children alongside its clinical outcomes and for future work to assess potential COVID-19 related risk factors.

COVID infection rates, clinical outcomes, and racial/ethnic and gender disparities before and after Omicron emerged in the US.

Background: SARS-CoV-2 infections and hospitalizations are rising in the US and other countries after the emergence of the Omicron variant. Currently, data on infection rates, severity and racial/ethnic and gender disparities from Omicron in the US is limited. Method: We performed a retrospective cohort study of a large, geographically diverse database of patient electronic health records (EHRs) in the US. The study population comprised 881,473 patients who contracted SARS-CoV-2 infection for the first time between 9/1/2021-1/16/2022, including 147,964 patients infected when Omicron predominated (Omicron cohort), 633,581 when Delta predominated (Delta cohort) and another 99,928 infected when the Delta predominated but just before the Omicron variant was detected in the US (Delta-2 cohort). We examined monthly incidence rates of COVID-19 infections stratified by age groups, gender, race and ethnicity, compared severe clinical outcomes including emergency department (ED) visits, hospitalizations, intensive care unit (ICU) admissions, and mechanical ventilation use between propensity-score matched Omicron and Delta cohorts stratified by age groups (0-4, 5-17, 18-64 and ≥ 65 years), and examined racial/ethnic and gender differences in severe clinical outcomes. Findings: Among 147,964 infected patients in the Omicron cohort (average age: 39.1 years), 56.7% were female, 2.4% Asian, 21.1% Black, 6.2% Hispanic, and 51.8% White. The monthly incidence rate of COVID infections (new cases per 1000 persons per day) was 0.5-0.7 when Delta predominated, and rapidly increased to 3.8-5.2 when Omicron predominated. In January 2022, the infection rate was highest in children under 5 years (11.0) among all age groups, higher in Black than in White patients (14.0 vs. 3.8), and higher in Hispanic than in non-Hispanic patients (8.9 vs. 3.1). After propensity-score matching for demographics, socio-economic determinants of health, comorbidities and medications, risks for severe clinical outcomes in the Omicron cohort were significantly lower than in the Delta cohort: ED visits: 10.2% vs. 14.6% (risk ratio or RR: 0.70 [0.68-0.71]); hospitalizations: 2.6% vs. 4.4% (RR: 0.58 [0.55-0.60]); ICU admissions: 0.47% vs. 1.00% (RR: 0.47 [0.43-0.51]); mechanical ventilation: 0.08% vs. 0.3% (RR: 0.25 [0.20-0.31]). Similar reduction in disease severity was observed for all age groups. There were significant racial/ethnic and gender disparities in severe clinical outcomes in the Omicron cohort, with Black, Hispanic patients having more ED visits and ICU admissions than White and non-Hispanic patients, respectively and women had fewer hospitalization and ICU admission than men. Interpretation: The incidence rate of COVID infection during the omicron predominant period (prevalence >92%) was 6-8 times higher than during the Delta predominant period that preceded it consistent with greater infectivity. The incidence rate was highest among those less than 5 years of age, and in Black and Hispanic patients. COVID infections occurring when the Omicron predominated were associated with significantly less frequent severe outcomes than in matched patients when the Delta variant predominated. There were significant racial, ethnic and gender disparities in severe clinical outcomes, with Black and Hispanic patients and men disproportionally impacted.

Disparities in Colorectal Cancer Screening Practices in a Midwest Urban Safety-Net Healthcare System.

AIMS: Although colorectal cancer screening (CRC) using stool-based test is well-studied, evidence on fecal immunochemical test (FIT) patterns in a safety-net healthcare system utilizing opportunistic screening is limited. We studied the FIT completion rates and adenoma detection rate (ADR) of positive FIT-colonoscopy (FIT-C) in an urban safety-net system. METHODS: We performed a retrospective cross-sectional chart review on individuals ≥ 50 years who underwent CRC screening using FIT or screening colonoscopy, 09/01/2017-08/30/2018. Demographic differences in FIT completion were studied; ADR of FIT-C was compared to that of screening colonoscopy. RESULTS: Among 13,427 individuals with FIT ordered, 7248 (54%) completed the stool test and 230 (48%) followed up a positive FIT with colonoscopy. Increasing age (OR 1.01, CI 1.01-1.02), non-Hispanic Blacks (OR 0.87, CI 0.80-0.95, p = 0.002), current smokers (OR 0.84, CI 0.77-0.92, p < 0.0001), those with Medicaid (OR 0.86, CI 0.77-0.96, p = 0.006), commercial insurance (OR 0.85, CI 0.78-0.94, p = 0.002), CCI score ≥ 3 (OR 0.82, CI 0.74-0.91, p < 0.0001), orders by family medicine providers (OR 0.87, CI 0.81-0.94, p < 0.0001) were associated with lower completion of stool test. Individuals from low median household income cities had lower follow-up of positive FIT, OR 0.43, CI 0.21-0.86, p = 0.017. ADR of FIT-C was higher than that of screening colonoscopy. CONCLUSION: Adherence to CRC screening is low in safety-net systems employing opportunistic screening. Understanding demographic differences may allow providers to formulate targeted strategies in high-risk vulnerable groups.

Designing for Sustainability: An Approach to Integrating Staff Role Changes and Electronic Health Record Functionality Within Safety-Net Clinics to Address Provision of Tobacco Cessation Care.

BACKGROUND: Guidelines urge primary care practices to routinely provide tobacco cessation care, but quality indicators for the provision of advice and assistance to quit smoking lag. This study evaluated the implementation of a systems-based strategy to improve performance of tobacco cessation care in primary care clinics. METHODS: Changes to the electronic health record (EHR) facilitated staff to document when they ask about tobacco use, advise the patient to quit, offer to connect the patient to a quitline (QL) counselor, and refer interested patients to receive a call from a QL. Medical assistants (MAs) were trained to use the new sections of the EHR, and their roles were expanded to include the provision of brief cessation advice and activation of the QL referral. Primary outcomes were change in tobacco cessation processes preimplementation vs. one, three, and six months postimplementation of the strategy. RESULTS: The increase in performance of tobacco cessation care was significant and sustained at six months postimplementation for assessing smoking status (50.9% vs. 76.3%; odds ratio [OR] = 3.04; 95% confidence interval [CI] = 2.80-3.31), providing advice (15.1% vs. 92.7%; OR = 69.3; 95% CI = 51.88-92.60), assessing readiness to quit (22.8% vs. 76.6%; OR = 10.80; 95% CI = 8.92-13.08), and accepting a referral to the QL (1.3% vs. 21.7%; OR = 20.31; 95% CI = 4.91-84.05). CONCLUSION: Key stakeholder engagement informed a system change intervention that includes an EHR-supported role expansion of MAs for QL referrals; these changes substantially increased the provision of tobacco cessation care.

Characteristics of the National Applicant Pool for Clinical Informatics Fellowships (2016-2017).

We conducted a national study to assess the numbers and diversity of applicants for 2016 and 2017 clinical informatics fellowship positions. In each year, we collected data on the number of applications that programs received from candidates who were ultimately successful vs. unsuccessful. In 2017, we also conducted an anonymous applicant survey. Successful candidates applied to an average of 4.2 and 5.5 programs for 2016 and 2017, respectively. In the survey, unsuccessful candidates reported applying to fewer programs. Assuming unsuccessful candidates submitted between 2-5 applications each, the total applicant pool numbered 42-69 for 2016 (competing for 24 positions) and 52-85 for 2017 (competing for 30 positions). Among survey respondents (n=33), 24% were female, 1 was black and none were Hispanic. We conclude that greater efforts are needed to enhance interest in clinical informatics among medical students and residents, particularly among women and members of underrepresented minority groups.

Patient portals and broadband internet inequality.

BACKGROUND: Patient portals have shown potential for increasing health care quality and efficiency. Internet access and other factors influencing patient portal use could worsen health disparities. METHODS: Observational study of adults with 1 or more visits to the outpatient clinics of an urban public health care system from 2012 to 2015. We used mixed effects logistic regression to evaluate the association between broadband internet access and (1) patient portal initiation (whether a patient logged in at least 1 time) and (2) messaging, controlling for demographic and neighborhood characteristics. RESULTS: There were 243 248 adults with 1 or more visits during 2012-2015 and 70 835 (29.1%) initiated portal use. Portal initiation was 34.1% for whites, 23.4% for blacks, and 23.8% for Hispanics, and was lower for Medicaid (26.5%), Medicare (23.4%), and uninsured patients (17.4%) than commercially insured patients (39.3%). In multivariate analysis, both initiation of portal use (odds ratio [OR] = 1.24 per quintile, 95% confidence interval [CI], 1.23-1.24, P < .0001) and sending messages to providers (OR = 1.15, 95%CI, 1.09-1.14, P < .0001) were associated with neighborhood broadband internet access. CONCLUSIONS: The majority of adults with outpatient visits to a large urban health care system did not use the patient portal, and initiation of use was lower for racial and ethnic minorities, persons of lower socioeconomic status, and those without neighborhood broadband internet access. These results suggest the emergence of a digital divide in patient portal use. Given the scale of investment in patient portals and other internet-dependent health information technologies, efforts are urgently needed to address this growing inequality.

Advanced Clinical Decision Support for Vaccine Adverse Event Detection and Reporting.

BACKGROUND: Reporting of adverse events (AEs) following vaccination can help identify rare or unexpected complications of immunizations and aid in characterizing potential vaccine safety signals. We developed an open-source, generalizable clinical decision support system called Electronic Support for Public Health-Vaccine Adverse Event Reporting System (ESP-VAERS) to assist clinicians with AE detection and reporting. METHODS: ESP-VAERS monitors patients' electronic health records for new diagnoses, changes in laboratory values, and new allergies following vaccinations. When suggestive events are found, ESP-VAERS sends the patient's clinician a secure electronic message with an invitation to affirm or refute the message, add comments, and submit an automated, prepopulated electronic report to VAERS. High-probability AEs are reported automatically if the clinician does not respond. We implemented ESP-VAERS in December 2012 throughout the MetroHealth System, an integrated healthcare system in Ohio. We queried the VAERS database to determine MetroHealth's baseline reporting rates from January 2009 to March 2012 and then assessed changes in reporting rates with ESP-VAERS. RESULTS: In the 8 months following implementation, 91 622 vaccinations were given. ESP-VAERS sent 1385 messages to responsible clinicians describing potential AEs. Clinicians opened 1304 (94.2%) messages, responded to 209 (15.1%), and confirmed 16 for transmission to VAERS. An additional 16 high-probability AEs were sent automatically. Reported events included seizure, pleural effusion, and lymphocytopenia. The odds of a VAERS report submission during the implementation period were 30.2 (95% confidence interval, 9.52-95.5) times greater than the odds during the comparable preimplementation period. CONCLUSIONS: An open-source, electronic health record-based clinical decision support system can increase AE detection and reporting rates in VAERS.

Direct messaging to parents/guardians to improve adolescent immunizations.

PURPOSE: To study the impact on adolescent immunization rates of direct messages to parents/guardians. METHODS: Electronic health record rules identified adolescents needing an immunization. Parents/guardians of adolescents were messaged via a single vendor using automated text, prerecorded voice, and/or postcard. RESULTS: Parents/guardians of 3,393 patients, ages 11-18 years, with one or more primary care visits in the prior 2 years, identified as needing (average of 2.04 years) a vaccination (meningococcal conjugate, human papillomavirus, or tetanus, diphtheria, and pertussis vaccines) were messaged (mean age, 14 years; 50% male; 38% African-American; 23% white; 19% Hispanic; and 79% public health insurance). A total of 7,094 messages were sent: 3,334 automated voice (47%), 2,631 texts (37%), and 1,129 postcards (16%). After the first message, 865 adolescents (25.5%) received at least one vaccine. Within 24 weeks of messaging 1,324 vaccines (745 human papillomavirus; 403 meningococcal conjugate; and 176 tetanus, diphtheria, and pertussis vaccines) occurred in 959 visits (83.8% physician visits and 16.2% nurse visits). Average visits generated $204 gross reimbursement for $1.77 in messaging expenses per vaccine given. No differences in immunization completion rates occurred by age, gender, race/ethnicity, or insurance type. At 24 weeks, one message was more effective than two or three messages (35.6%, 19.4%, and 24.1% effectiveness, respectively; p < .0001). Texts and postcards correlated with more vaccination visits (38.8% and 40.1%, respectively) than phone calls (31.5%; p = .04). More vaccines due led to increasing message effectiveness. CONCLUSIONS: Automated texts, voice messages, and postcards had a significant positive effect on vaccination rates in adolescents needing vaccination and required minimal financial expenditure.

Use and perceived value of health information exchange: one public healthcare system's experience.

OBJECTIVES: To describe health information exchange (HIE) use and providers' perceptions of value in a public healthcare system using a commercial electronic health record (EHR). STUDY DESIGN: Observational study of HIE implementation and cross-sectional provider survey. METHODS: We identified characteristics (age, gender, race/ethnicity, insurance type, comorbid conditions) and the care setting (primary care; emergency department [ED] or inpatient care; or specialty care) for patients with and without HIE. Associations between patient characteristics and HIE were examined using a multivariate logistic regression. Provider perceptions were assessed via confidential survey. RESULTS: During its first 14 months, 11,960 HIEs occurred among 9399 patients. Rates of HIE use were 13/1000 visits overall (20/1000 in primary care, 36/1000 in the ED/inpatient setting, and 5/1000 in specialty settings [P <.001]). Patients with HIE were older, more often female, African American, had more chronic conditions, and more often had Medicaid or Medicare insurance (P <.001). HIE was used least among commercially insured (odds ratio, 0.78, 95% confidence interval,0.73-0.83, compared with uninsured). Among the 18% (74/412) of survey respondents, 93% "disagreed/strongly disagreed" that obtaining consent was difficult and 97% reported no patient refusals. Respondents "agreed/strongly agreed" that HIE fostered more efficient care (93%), saved time (85%), decreased laboratory (84%) and imaging (74%) use, and 15% stated that HIE prevented an unnecessary admission. CONCLUSION: Early HIE use varied by care setting, patient characteristics, and insurance. Providers perceived HIE acceptable to patients, and helpful in avoiding redundant testing and unnecessary hospitalizations. Lower HIE use among commercially insured patients reinforces concerns that financial incentives may inhibit adoption.

A cost model for personal health records (PHRs).

Personal health records (PHRs) are a rapidly expanding area in medical informatics due to the belief that they may improve healthcare delivery and control costs of care. To truly understand the full potential value of a technology, a cost analysis is critical.However, little evidence exists on the value potential of PHRs, and a cost model for PHRs does not currently exist in the literature.This paper presents a sample cost model for PHR systems, which include PHR infrastructure and applications. We used this model to examine the costs of provider-tethered, payer-tethered, third-party, and interoperable PHRs. Our model projects that on a per-person basis, third-party PHRs will be the most expensive followed by inter operable PHRs, and then provider-tethered PHRs and payer-tethered PHRs are the least expensive. Data interfaces are a major cost driver, thus these findings underscore the need for standards development and use in the implementation ofPHR systems.

The value proposition in the widespread use of telehealth.

Telehealth has great potential to improve access to care but its adoption in routine health care has been slow. The lack of clarity about the value of telehealth implementations has been one reason cited for this slow adoption. The Center for Information Technology Leadership has examined the value of telehealth encounters in which there is a provider both with the patient and at a distance from the patient. We considered three models of telehealth: store-and-forward, real-time video and hybrid systems. Evidence from the literature was extrapolated using a simulation, which found that the hybrid model was the most cost-effective of the three. The simulation predicted savings of $4.3 billion per year if hybrid telehealth systems were to be implemented in emergency rooms, prisons, nursing home facilities and physician offices across the US. We also conducted a sensitivity analysis to determine which factors most affected costs and savings. For all three telehealth models, the highest sensitivities were to the cost of a face-to-face visit, the cost of a telehealth visit and the success rate of a telehealth visit, i.e. the proportion of telehealth visits that avoided the need for a face-to-face visit. Payers, providers and policy-makers should work together to remove the barriers to the adoption of telehealth in order to make it widely available to all.

The value of provider-to-provider telehealth.

Telehealth has great potential to improve access to care, but its adoption in routine healthcare has been slow. The lack of clarity about the value of telehealth implementations has been one reason cited for this slow adoption. The Center for Information Technology Leadership has examined the value of telehealth encounters in which there is a provider both with the patient and at a distance from the patient. We considered three models of telehealth: store-and-forward, real-time video, and hybrid systems. Evidence from the literature was extrapolated using a computer simulation, which found that the hybrid model was the most cost effective. The simulation predicted savings of $4.3 billion per year if hybrid telehealth systems were implemented in emergency rooms, prisons, nursing home facilities, and physician offices across the United States. We also conducted a sensitivity analysis to determine which factors most influence costs and savings. Payers, providers, and policymakers should work together to remove the barriers to the adoption of telehealth so that this cost savings can be realized in the U.S. healthcare system.

The effect of dual training in internal medicine and pediatrics on the career path and job search experience of pediatric graduates.

OBJECTIVE: To compare the job search experience and career plans of medicine-pediatrics (med-peds) and pediatric residents. STUDY DESIGN: Annual surveys of graduating med-peds and pediatric residents were compared from 2003 and 2004. RESULTS: The survey response rates were 58% for med-peds residents (n = 427) and 61% for pediatric residents (n = 611). Pediatric residents were more likely to be female or an International Medical Graduate. The groups were equally satisfied with their career choice and had equivalent debt. Med-peds residents were more likely to seek and accept generalist and hospitalist positions. Pediatric residents were more likely to seek subspecialty careers and research opportunities. More than 94% of med-peds residents expected to care for pediatric patients. Among residents seeking generalist positions, med-peds residents sent half as many applications to get the same number of interviews and offers as pediatric residents, were more likely to be offered their most desired position, and were more likely to accept a position in a rural area/small town. Med-peds residents had substantially greater starting salaries as hospitalists or generalists compared with pediatric residents. CONCLUSION: Med-peds and pediatric trainees differ in their career plans, although primary care is their most popular choice. Med-peds- trained physicians have an easier job search experience and greater market valuation.

Ambulatory electronic medical record payback analysis 7 years after implementation in a tertiary care county medical system.

Electronic medical records (EMRs) are gaining increasing prominence in healthcare, however still have low market penetration. EMR implementation cost is a primary perceived barrier. Here we present a payback analysis on an outpatient EMR implementation, showing capital expense recovery (net of operating costs) at 6 years and now generating $6 million yearly in direct savings for our healthcare system.