Exploratory Descriptive Analysis of Smart Speaker Utilization in the Emergency Department During the COVID-19 Pandemic.

BACKGROUND: In March 2020, the U.S. Department of Health and Human Services Office for Civil Rights stated that they would use discretion when enforcing the Health Insurance Portability and Accountability Act regarding remote communication technologies that promoted telehealth delivery during the COVID-19 pandemic. This was in an effort to protect patients, clinicians, and staff. More recently, smart speakers-voice-activated, hands-free devices-are being proposed as productivity tools within hospitals. OBJECTIVE: We aimed to characterize the novel use of smart speakers in the emergency department (ED). METHODS: A retrospective observational study of Amazon Echo Show® utilization from May 2020 to October 2020 in a large academic Northeast health system ED. Voice commands and queries were classified as either patient care-related or non-patient care-related, and then further subcategorized to explore the content of given commands. RESULTS: Of 1232 commands analyzed, 200 (16.23%) were determined to be patient care-related. Of these commands, 155 (77.5%) were clinical in nature (i.e., "drop in on triage") and 23 (11.5%) were environment-enhancing commands (i.e., "play calming sounds"). Among non-patient care-related commands, 644 (62.4%) were for entertainment. Among all commands, 804 (65.3%) were during night-shift hours, which was statistically significant (p < 0.001). CONCLUSIONS: Smart speakers showed notable engagement, primarily being used for patient communication and entertainment. Future studies should examine content of patient care conversations using these devices, effects on frontline staff wellbeing, productivity, patient satisfaction, and even explore opportunities for "smart" hospital rooms.

Real-World Observational Evaluation of Common Interventions to Reduce Emergency Department Prescribing of Opioid Medications.

BACKGROUND: Prior work on opioid prescribing has examined dosing defaults, interruptive alerts, or "harder" stops such as electronic prescribing of controlled substances (EPCS), which has become increasingly required by state policy. Given that real-world opioid stewardship policies are concurrent and overlapping, the authors examined the effect of such policies on emergency department (ED) opioid prescriptions. METHODS: The researchers performed observational analysis of all ED visits discharged between December 17, 2016, and December 31, 2019, across seven EDs of a hospital system. Four interventions were examined in chronological order, with each successive intervention added on top of all previous interventions: 12-pill prescription default, EPCS, electronic health record (EHR) pop-up alert, and 8-pill prescription default. The primary outcome was opioid prescribing, which was described as number of opioid prescriptions per 100 discharged ED visits and modeled as a binary outcome for each visit. Secondary outcomes included prescription morphine milligram equivalents (MME) and non-opioid analgesia prescriptions. RESULTS: A total of 775,692 ED visits were included in the study. Compared to the preintervention period, cumulative reductions in opioid prescribing were seen with incremental interventions, including after adding a 12-pill default (odds ratio [OR] 0.88, 95% confidence interval [CI] 0.82-0.94), after adding EPCS (OR 0.7, 95% CI 0.63-0.77), after adding pop-up alerts (OR 0.67, 95% CI 0.63-0.71), and after adding an 8-pill default (OR 0.61, 95% CI 0.58-0.65). CONCLUSION: EHR-implemented solutions such as EPCS, pop-up alerts, and pill defaults had varying but significant effects on reducing ED opioid prescribing. Policy makers and quality improvement leaders might achieve sustainable improvements in opioid stewardship while balancing clinician alert fatigue through policy efforts promoting implementation of EPCS and default dispense quantities.

COVID-19 surge readiness: use cases demonstrating how hospitals leveraged digital identity access management for infection control and pandemic response.

BACKGROUND: Surging volumes of patients with COVID-19 and the high infectiousness of SARS-CoV-2 challenged hospital infection control/safety, staffing, care delivery and operations as few crises have. Imperatives to ensure security of patient information, defend against cybersecurity threats and accurately identify/authenticate patients and staff were undiminished, which fostered creative use cases where hospitals leveraged identity access and management (IAM) technologies to improve infection control and minimise disruption of clinical and administrative workflows. METHODS: Working with a leading IAM solution provider, implementation personnel in the USA and UK identified all hospitals/health systems where an innovative use of IAM technology improved facility infection control and pandemic response management. Interviews/communications with hospital clinical informatics leaders collected information describing the use case deployed. RESULTS: Eight innovative/valuable hospital use cases are described: symptom-free attestation by clinicians at shift start; detection of clinician exposure/contact tracing; reporting of clinician temperature checks; inpatient telehealth consults in isolation units; virtual visits between isolated patients and families; touchless single sign-on authentication; secure access enabled for rapid expansion of personnel working remotely; and monitoring of temporary worker attendance. DISCUSSION: No systematic, comprehensive survey of all implemented IAM client sites was conducted, and other use cases may be undetected. A standardised reporting/information sharing vehicle is needed whereby IAM use cases aiding facility pandemic response and infection control can be disseminated. CONCLUSIONS: Clinical care, infection control and facility operations were improved using IAM solutions during COVID-19. Facility end-user innovation in how IAM solutions are deployed can improve infection control/patient safety, care delivery and clinical workflows during surges of epidemic infectious diseases.

Development and Validation of a Natural Language Processing Tool to Identify Injuries in Infants Associated With Abuse.

OBJECTIVES: Medically minor but clinically important findings associated with physical child abuse, such as bruises in pre-mobile infants, may be identified by frontline clinicians yet the association of these injuries with child abuse is often not recognized, potentially allowing the abuse to continue and even to escalate. An accurate natural language processing (NLP) algorithm to identify high-risk injuries in electronic health record notes could improve detection and awareness of abuse. The objectives were to: 1) develop an NLP algorithm that accurately identifies injuries in infants associated with abuse and 2) determine the accuracy of this algorithm. METHODS: An NLP algorithm was designed to identify ten specific injuries known to be associated with physical abuse in infants. Iterative cycles of review identified inaccurate triggers, and coding of the algorithm was adjusted. The optimized NLP algorithm was applied to emergency department (ED) providers' notes on 1344 consecutive sample of infants seen in 9 EDs over 3.5 months. Results were compared with review of the same notes conducted by a trained reviewer blind to the NLP results with discrepancies adjudicated by a child abuse expert. RESULTS: Among the 1344 encounters, 41 (3.1%) had one of the high-risk injuries. The NLP algorithm had a sensitivity and specificity of 92.7% (95% confidence interval [CI]: 79.0%-98.1%) and 98.1% (95% CI: 97.1%-98.7%), respectively, and positive and negative predictive values were 60.3% and 99.8%, respectively, for identifying high-risk injuries. CONCLUSIONS: An NLP algorithm to identify infants with high-risk injuries in EDs has good accuracy and may be useful to aid clinicians in the identification of infants with injuries associated with child abuse.

Inpatient Telehealth Tools to Enhance Communication and Decrease Personal Protective Equipment Consumption during Disaster Situations: A Case Study during the COVID-19 Pandemic.

BACKGROUND: As the coronavirus disease 2019 pandemic exerts unprecedented stress on hospitals, health care systems have quickly deployed innovative technology solutions to decrease personal protective equipment (PPE) use and augment patient care capabilities. Telehealth technology use is established in the ambulatory setting, but not yet widely deployed at scale for inpatient care. OBJECTIVES: This article presents and describes our experience with evaluating and implementing inpatient telehealth technologies in a large health care system with the goals of reducing use of PPE while enhancing communication for health care workers and patients. METHODS: We discovered use cases for inpatient telehealth revealed as a result of an immense patient surge requiring large volumes of PPE. In response, we assessed various consumer products to address the use cases for our health system. RESULTS: We identified 13 use cases and eight device options. During device setup and implementation, challenges and solutions were identified in five areas: security/privacy, device availability and setup, device functionality, physical setup, and workflow and device usage. This enabled deployment of more than 1,800 devices for inpatient telehealth across seven hospitals with positive feedback from health care staff. CONCLUSION: Large-scale setup and distribution of consumer devices is feasible for inpatient telehealth use cases. Our experience highlights operational barriers and potential solutions for health systems looking to preserve PPE and enhance vital communication.

Agile Health Care Analytics: Enabling Real-Time Disease Surveillance With a Computational Health Platform.

The ongoing coronavirus disease outbreak demonstrates the need for novel applications of real-time data to produce timely information about incident cases. Using health information technology (HIT) and real-world data, we sought to produce an interface that could, in near real time, identify patients presenting with suspected respiratory tract infection and enable monitoring of test results related to specific pathogens, including severe acute respiratory syndrome coronavirus 2. This tool was built upon our computational health platform, which provides access to near real-time data from disparate HIT sources across our health system. This combination of technology allowed us to rapidly prototype, iterate, and deploy a platform to support a cohesive organizational response to a rapidly evolving outbreak. Platforms that allow for agile analytics are needed to keep pace with evolving needs within the health care system.

Evaluating the Impact of a New Smartphone Texting Tool on Patient Care in Obstetrics, an Emergent Healthcare Setting.

BACKGROUND: Hospitals across the country are investing millions of dollars to adopt new Health Insurance Portability and Accountability Act (HIPAA)-compliant secure text messaging systems. However, in nearly all cases, these implementations are occurring without evaluation of their impact on patient care. OBJECTIVE: To evaluate perceived impact on patient care and workflow of new text messaging system implemented in obstetrics at Yale-New Haven Hospital and to inform guidelines for future implementations in emergent settings. METHODS: A new HIPAA-compliant texting system was implemented in obstetrics in 2016. Before implementation of the new system, residents and nurses were surveyed on perceived effect of communication system (pagers with text receiving, service mobile phones, personal cell phones) on clinical workflow and patient care using 5-point Likert scale and open-ended questions. Following roll-out (1 and 6 months), both teams were surveyed with same questions. Results were compared using Wilcoxon-Mann-Whitney test (0-1 months and then 0-6 months). Open-ended question results were qualitatively compared for recurrent unifying themes. RESULTS: In both nursing and resident domains, 1 month after implementation, the new communication system was perceived to significantly improve efficiency and patient care across all metrics. After 6 months, this effect decayed in nearly all categories (including efficiency, real-time communication, and knowledge of covering provider). The exception was nurse's knowledge of which resident to contact and resident's timely evaluation of patient, for which we observed sustained improvements. System shortcomings identified included interrupted connection (i.e., dropped calls), dysfunctional and inaccurate alert system, and unclear identification of the covering provider. CONCLUSION: A new text-messaging-based communication system may improve efficiency and patient care in emergent settings, but system shortcomings can substantially erode potential benefits over time. We recommend implementers evaluate new systems for a set of specific functional requirements to increase probability of sustained improvement and decrease risk of poor patient outcomes.

Evaluation of the Patient Request Process for Radiology Imaging in U.S. Hospitals.

Background In the United States, patients have the right to access their protected health information. However, to the knowledge of the authors, no study has evaluated the patient request process and the barriers to patient access of their radiology images. Purpose To assess U.S. hospital compliance with federal regulations and patient ease of access to imaging studies. Materials and Methods In this cross-sectional study conducted from June 6 to December 3, 2018, 80 U.S. hospitals were contacted by telephone to determine their patient request process for imaging studies. A scripted interview was used to simulate the patient experience in requesting imaging studies. Hospitals were compared in terms of formats of release (compact disc [CD] via pick up, CD via mail, e-mail, online patient portal, or other online access), departments from which cine files can be requested, fees, and processing times. Results All 80 hospitals stated that they could provide imaging studies on CDs. Only six (8%) hospitals provided imaging studies via e-mail and three (4%) via an online patient portal. Requests for cine files were fulfilled by a department separate from diagnostic radiology in 47 of 80 (59%) hospitals. Patient charges ranged from $0 to $75 for a single CD, no charge to $6 via e-mail, and no charge via an online patient portal. Fifty-nine (74%) hospitals stated that they could release copies within 24 hours, 10 (13%) within 2-5 days, eight (10%) within 5-10 days, and three (4%) within 10-30 days from request date. Imaging studies from outside of the diagnostic radiology department may need to be requested through the departments that performed the study. Conclusion This study demonstrated that although fees and processing times are compliant with federal regulations, patient access to imaging studies is limited primarily to compact disc format. The request process is also complicated for patients because of dispersion of imaging studies across departments. © RSNA, 2019 Online supplemental material is available for this article.

Health Care and Precision Medicine Research: Analysis of a Scalable Data Science Platform.

BACKGROUND: Health care data are increasing in volume and complexity. Storing and analyzing these data to implement precision medicine initiatives and data-driven research has exceeded the capabilities of traditional computer systems. Modern big data platforms must be adapted to the specific demands of health care and designed for scalability and growth. OBJECTIVE: The objectives of our study were to (1) demonstrate the implementation of a data science platform built on open source technology within a large, academic health care system and (2) describe 2 computational health care applications built on such a platform. METHODS: We deployed a data science platform based on several open source technologies to support real-time, big data workloads. We developed data-acquisition workflows for Apache Storm and NiFi in Java and Python to capture patient monitoring and laboratory data for downstream analytics. RESULTS: Emerging data management approaches, along with open source technologies such as Hadoop, can be used to create integrated data lakes to store large, real-time datasets. This infrastructure also provides a robust analytics platform where health care and biomedical research data can be analyzed in near real time for precision medicine and computational health care use cases. CONCLUSIONS: The implementation and use of integrated data science platforms offer organizations the opportunity to combine traditional datasets, including data from the electronic health record, with emerging big data sources, such as continuous patient monitoring and real-time laboratory results. These platforms can enable cost-effective and scalable analytics for the information that will be key to the delivery of precision medicine initiatives. Organizations that can take advantage of the technical advances found in data science platforms will have the opportunity to provide comprehensive access to health care data for computational health care and precision medicine research.

A randomized trial of decision support for tobacco dependence treatment in an inpatient electronic medical record: clinical results.

BACKGROUND: Smokers usually abstain from tobacco while hospitalized but relapse after discharge. Inpatient interventions may encourage sustained quitting. We previously demonstrated that a decision support tool embedded in an electronic health record (EHR) improved physicians' treatment of hospitalized smokers. This report describes the effect on quit rates of this decision support tool and order set for hospitalized smokers. METHODS: In a single hospital system, 254 physicians were randomized 1:1 to receive a decision support tool and order set, embedded in the EHR. When an adult patient was admitted to a medical service, an electronic alert appeared if current smoking was recorded in the EHR. For physicians receiving the intervention, the alert linked to an order set for tobacco treatment medications and electronic referral to the state tobacco quitline. Additionally, "Tobacco Use Disorder" was added to the patient's problem list, and a secure message was sent to the patient's primary care provider (PCP). In the control arm, no alert appeared. Patients were contacted by phone at 1, 6, and 12 months; those reporting tobacco abstinence at 12 months were asked to return to measure exhaled carbon monoxide. Generalized estimating equations were used to model the data. RESULTS: From 2013 to 2016, the alert fired for 10,939 patients (5391 intervention, 5548 control). Compared to control physicians, intervention physicians were more likely to order tobacco treatment medication, populate the problem list with tobacco use disorder, refer to the quitline, and notify the patient's PCP. In a subset of 1044 patients recruited for intensive follow-up, one-year quit rates for intervention and control patients were, respectively, 11.5% and 11.6%, (p = 0.94), after controlling for age, sex, race, ethnicity, and insurance. Similarly, there were no differences in 1- and 6-month quit rates. CONCLUSIONS: Although we were able to improve processes of care, long-term tobacco quit rates were unchanged. This likely reflects, in part, the need for sustained quitting interventions, and higher-than-expected quit rates in controls. Future enhancements should improve prescription of medications for smoking cessation at discharge, engagement of primary care providers, and perhaps direct engagement of patients in a more longitudinal approach. TRIAL REGISTRATION: ClinicalTrials.gov, NCT01691105 . Registered on September 12, 2012.

Assessment of US Hospital Compliance With Regulations for Patients' Requests for Medical Records.

Importance: Although federal law has long promoted patients' access to their protected health information, this access remains limited. Previous studies have demonstrated some issues in requesting release of medical records, but, to date, there has been no comprehensive review of the challenges that exist in all aspects of the request process. Objective: To evaluate the current state of medical records request processes of US hospitals in terms of compliance with federal and state regulations and ease of patient access. Design, Setting, and Participants: A cross-sectional study of medical records request processes was conducted between August 1 and December 7, 2017, in 83 top-ranked US hospitals with independent medical records request processes and medical records departments reachable by telephone. Hospitals were ranked as the top 20 hospitals for each of the 16 adult specialties in the 2016-2017 US News & World Report Best Hospitals National Rankings. Exposures: Scripted interview with medical records departments in a single-blind, simulated patient experience. Main Outcomes and Measures: Requestable information (entire medical record, laboratory test results, medical history and results of physical examination, discharge summaries, consultation reports, physician orders, and other), formats of release (pick up in person, mail, fax, email, CD, and online patient portal), costs, and request processing times, identified on medical records release authorization forms and through telephone calls with medical records departments. Results: Among the 83 top-ranked US hospitals representing 29 states, there was discordance between information provided on authorization forms and that obtained from the simulated patient telephone calls in terms of requestable information, formats of release, and costs. On the forms, as few as 9 hospitals (11%) provided the option of selecting 1 of the categories of information and only 44 hospitals (53%) provided patients the option to acquire the entire medical record. On telephone calls, all 83 hospitals stated that they were able to release entire medical records to patients. There were discrepancies in information given in telephone calls vs on the forms between the formats hospitals stated that they could use to release information (69 [83%] vs 40 [48%] for pick up in person, 20 [24%] vs 14 [17%] for fax, 39 [47%] vs 27 [33%] for email, 55 [66%] vs 35 [42%] for CD, and 21 [25%] vs 33 [40%] for online patient portals), additionally demonstrating noncompliance with federal regulations in refusing to provide records in the format requested by the patient. There were 48 hospitals that had costs of release (as much as $541.50 for a 200-page record) above the federal recommendation of $6.50 for electronically maintained records. At least 6 of the hospitals (7%) were noncompliant with state requirements for processing times. Conclusions and Relevance: The study revealed that there are discrepancies in the information provided to patients regarding the medical records release processes and noncompliance with federal and state regulations and recommendations. Policies focused on improving patient access may require stricter enforcement to ensure more transparent and less burdensome medical records request processes for patients.

Design and implementation of decision support for tobacco dependence treatment in an inpatient electronic medical record: a randomized trial.

Tobacco dependence treatment for hospitalized smokers results in long-term cessation if treatment continues at least 30 days post-discharge. Health information technology may facilitate ongoing tobacco dependence treatment after hospital discharge. To describe the use and impact of a new decision support tool and order set for inpatient physicians, addressing tobacco dependence treatment for hospitalized smokers, embedded in an electronic health record (EHR). In a cluster-randomized trial, 254 physicians were randomized (1:1) to either receive or not receive the decision support tool and order set, which were embedded in the Epic (Madison, WI) EHR used at 2 hospitals in a single city. When an adult patient was admitted to a medical service, an electronic alert appeared if the patient was coded in the EHR as a smoker. For physicians randomized to the intervention, the alert linked to an order set to prescribe tobacco treatment medications and refer the patient to the state tobacco quitline. Additionally, "tobacco use disorder" was added to the patient's problem list, and an e-mail was sent to the patient's primary care provider (PCP). In the control arm, an alert fired with no screen visibility. Generalized estimating equations were used to model the data. Since August 2013, the alert has appeared for 10,939 patients (5391 intervention, 5548 control). Compared to control physicians, intervention physicians were more likely to order tobacco treatment medication (35 vs. 29%, P < 0.0001), populate the problem list with tobacco use disorder (41 vs. 2%, P < 0.0001), and make a referral to the state smokers' quitline (30 vs. 0%, P < 0.0001). In addition, intervention physicians sent an e-mail to the patient's PCP 4152 (99%) times. Designing and implementing an order set and alert for tobacco treatment in an EHR is feasible and helps physicians place more orders for tobacco treatment medication, referrals to the state smokers' quitline, and e-mails to patients' PCPs. Data on cessation outcomes are pending. TRIAL REGISTRATION: www.ClinicalTrials.gov (NCT01691105).

Development and validation of a continuously age-adjusted measure of patient condition for hospitalized children using the electronic medical record.

Awareness of a patient's clinical status during hospitalization is a primary responsibility for hospital providers. One tool to assess status is the Rothman Index (RI), a validated measure of patient condition for adults, based on empirically derived relationships between 1-year post-discharge mortality and each of 26 clinical measurements available in the electronic medical record. However, such an approach cannot be used for pediatrics, where the relationships between risk and clinical variables are distinct functions of patient age, and sufficient 1-year mortality data for each age group simply do not exist. We report the development and validation of a new methodology to use adult mortality data to generate continuously age-adjusted acuity scores for pediatrics. Clinical data were extracted from EMRs at three pediatric hospitals covering 105,470 inpatient visits over a 3-year period. The RI input variable set was used as a starting point for the development of the pediatric Rothman Index (pRI). Age-dependence of continuous variables was determined by plotting mean values versus age. For variables determined to be age-dependent, polynomial functions of mean value and mean standard deviation versus age were constructed. Mean values and standard deviations for adult RI excess risk curves were separately estimated. Based on the "find the center of the channel" hypothesis, univariate pediatric risk was then computed by applying a z-score transform to adult mean and standard deviation values based on polynomial pediatric mean and standard deviation functions. Multivariate pediatric risk is estimated as the sum of univariate risk. Other age adjustments for categorical variables were also employed. Age-specific pediatric excess risk functions were compared to age-specific expert-derived functions and to in-hospital mortality. AUC for 24-h mortality and pRI scores prior to unplanned ICU transfers were computed. Age-adjusted risk functions correlated well with similar functions in Bedside PEWS and PAWS. Pediatric nursing data correlated well with risk as measured by mortality odds ratios. AUC for pRI for 24-h mortality was 0.93 (0.92, 0.94), 0.93 (0.93, 0.93) and 0.95 (0.95, 0.95) at the three pediatric hospitals. Unplanned ICU transfers correlated with lower pRI scores. Moreover, pRI scores declined prior to such events. A new methodology to continuously age-adjust patient acuity provides a tool to facilitate timely identification of physiologic deterioration in hospitalized children.

Automated analysis of electronic medical record data reflects the pathophysiology of operative complications.

PURPOSE: We hypothesized that a novel algorithm that uses data from the electronic medical record (EMR) from multiple clinical and biometric sources could provide early warning of organ dysfunction in patients with high risk for postoperative complications and sepsis. Operative patients undergoing colorectal procedures were evaluated. METHODS: The Rothman Index (RI) is a predictive model based on heuristic equations derived from 26 variables related to inpatient care. The RI integrates clinical nursing observations, bedside biometrics, and laboratory data into a continuously updated, numeric physiologic assessment, ranging from 100 (unimpaired) to -91. The RI can be displayed within the EMR as a graphic trend, with a decreasing trend reflecting physiologic dysfunction. Patients undergoing colorectal procedures between June and October 2011 were evaluated to determine correlation of initial RI, average inpatient RI, and lowest RI to incidence of complications and/or postoperative sepsis. Patients were stratified by color-coded RI risk group (100-65, blue; 64-40, yellow; <40 red). One-way or repeated-measures analysis of variance was used to compare groups by age, number of complications, and presence of sepsis defined by discharge International Classification of Diseases, 9(th) Revision, codes. Mean direct cost of care and duration of stay also was calculated for each group. RESULTS: The overall incidence of perioperative complications in the 124 patient cohort was 51% (n = 64 patients). The 261 complications sustained by this group represented 82 distinct diagnoses. The 10 patients with sepsis (8%) experienced a 40% mortality. Analysis of initial RI for the population stratified by number of complications and/or sepsis demonstrated a risk-related difference. With progressive onset of complications, the RI decreased, suggesting worsening physiologic dysfunction and linear increase in direct cost of care. CONCLUSION: These findings demonstrate that EMR data can be automatically compiled into an objective metric that reflects patient risk and changing physiologic state. The automated process of continuous update reflects a physiologic trajectory associated with evolving organ system dysfunction indicative of postoperative complications. Early intervention based on these trends may guide preoperative counseling, enhance pre-emptive management of adverse occurrences, and improve cost-efficiency of care.

Diagnosis of intussusception by physician novice sonographers in the emergency department.

STUDY OBJECTIVE: We investigate the performance characteristics of bedside emergency department (ED) ultrasonography by nonradiologist physician sonographers in the diagnosis of ileocolic intussusception in children. METHODS: This was a prospective, observational study conducted in a pediatric ED of an urban tertiary care children's hospital. Pediatric emergency physicians with no experience in bowel ultrasonography underwent a focused 1-hour training session conducted by a pediatric radiologist. The session included a didactic component on sonographic appearances of ileocolic intussusception, review of images with positive and negative results for intussusceptions, and a hands-on component with a live child model. On completion of the training, a prospective convenience sample study was performed. Children were enrolled if they were to undergo diagnostic radiology ultrasonography for suspected intussusception. Bedside ultrasonography by trained pediatric emergency physicians was performed and interpreted as either positive or negative for ileocolic intussusception. Ultrasonographic studies were then performed by diagnostic radiologists, and their results were used as the reference standard. Test characteristics (sensitivity, specificity, positive and negative predictive values) and likelihood ratios were calculated. RESULTS: Six pediatric emergency physicians completed the training and performed the bedside studies. Eighty-two patients were enrolled. The median age was 25 months (range 3 to 127 months). Thirteen patients (16%) received a diagnosis of ileocolic intussusception by diagnostic radiology. Bedside ultrasonography had a sensitivity of 85% (95% confidence interval [CI] 54% to 97%), specificity of 97% (95% CI 89% to 99%), positive predictive value of 85% (95% CI 54% to 97%), and negative predictive value of 97% (95% CI 89% to 99%). A positive bedside ultrasonographic result had a likelihood ratio of 29 (95% CI 7.3 to 117), and a negative bedside ultrasonographic result had a likelihood ratio of 0.16 (95% CI 0.04 to 0.57). CONCLUSION: With limited and focused training, pediatric emergency physicians can accurately diagnose ileocolic intussusception in children by using bedside ultrasonography.

Secure web messaging in a pediatric chronic care clinic: a slow takeoff of "kids' airmail".

BACKGROUND: Although e-mail may be an efficient clinician-patient communication tool, standard e-mail is not adequately secure to meet Health Insurance Portability and Accountability Act (HIPAA) guidelines. For this reason, firewall-secured electronic messaging systems have been developed for use in health care. Impact and usability of these secure systems have not been broadly assessed. OBJECTIVE: To evaluate the impact of a secure electronic messaging system implemented for a pediatric subspecialty clinic. METHODS: This study was performed in an outpatient, academic pediatric respiratory clinic in spring 2009 in New Haven, Connecticut. Patients were surveyed prior to implementation regarding internet usage. The Kryptiq messaging system was implemented and messages were monitored continuously and tracked. Open-ended qualitative interviews with 28 users and nonusers were conducted, and we described the process of implementation. RESULTS: All of the 127 patients/families surveyed expressed interest in using the Internet to contact their clinic providers, and they all reported having the ability to access the Internet. In the 8 months after implementation, only 5 messages were initiated by patients in contrast to 2363 phone calls. Themes emerged from the open-ended interviews that indicated promoters, barriers, and potential uses. Prominent barriers included the lack of convenience and personal touch and being technically difficult to use. CONCLUSIONS: Although these patients/families expressed strong interest in e-mailing, secure Web messaging was less convenient than using the phone, too technically cumbersome, lacked a personal touch, and was used only by a handful of patients.

Emergency department information system adoption in the United States.

OBJECTIVES: The American Recovery and Reinvestment Act of 2009 incentivizes adoption of health care information technology (HIT) based on support for specific standards, policies, and features. Limited data have been published on national emergency department information systems (EDIS) adoption, and to our knowledge, no prior studies have considered functionality measures. This study determined current national estimates of EDIS adoption using both single-response rates of EDIS adoption and a novel feature-based definition and also identified emergency department (ED) characteristics associated with EDIS use. METHODS: The 2006 National Hospital Ambulatory Medical Care Survey, a nationally representative sample of ED visits that also surveyed participating EDs on EDIS, was used to estimate EDIS adoption. EDIS adoption rates were calculated using two definitions: 1) single-response-response to a single survey question as to whether the EDIS was complete, partial, or none; and 2) feature-based-based on the reported features supported by the EDIS, systems were categorized as fully functional, basic, other, or none. The relationship of EDIS adoption to specific ED characteristics such as facility type and location was also examined. RESULTS: Using the single-response classification, 16.1% of EDs had a complete EDIS, while 30.4% had a partial EDIS, and 53.5% had none. In contrast, using a feature-based categorization, 1.7% EDs had a fully functional EDIS, 12.3% had basic, 32.1% had other, and 53.9% had none. In multivariable analysis, urban EDs were significantly more likely to have a fully functional or basic EDIS than were rural EDs. Pediatric EDs were significantly more likely than general EDs to have other EDIS. CONCLUSIONS: Despite more optimistic single-response estimates, fewer than 2% of our nation's EDs have a fully functional EDIS. EDs in urban areas and those specializing in the care of pediatric patients are more likely to support EDIS. Accurate and consistent EDIS adoption estimates are dependent on whether there are standardized EDIS definitions and classifications of features. To realize the potential value of EDIS for improved emergency care, we need to better understand the extent and correlates of the diffusion of this technology and increase emergency medicine engagement in national HIT policy-making.

Dropping the baton during the handoff from emergency department to primary care: pediatric asthma continuity errors.

BACKGROUND: The handoff of patient care from emergent to primary care physicians (PCPs) has been associated with critical safety problems, especially for children with chronic diseases. Continuity-of-information (COI) errors occur when relevant information is not transmitted effectively. Follow-up errors occur when a recommended visit or telephone contact does not take place when prescribed. A study was undertaken to assess the COI and follow-up between a tertiary care pediatric emergency department (ED) and PCPs for pediatric patients seeking acute asthma treatment. METHODS: Paper charts were reviewed for evidence of continuity of information and continuity of follow-up within the directed five-day period after an asthma exacerbation as recommended in national guidelines. RESULTS: Three-hundred fifty pediatric ED visits for asthma by patients attending these community health centers were identified. In 132 (37.7%) of the records, there was no evidence of the patient's ED visit in the record (faxed ED discharge note or handwritten note by provider). In 219 (62.6%), the faxed ED note and/or provider note was present. Illegibility did not contribute to COI errors. There was no recorded contact between patients and PCPs in 218 (62.3%) of the charts, and 11 (3.1%) indicated appointments were scheduled but missed. Follow-up was documented in the remaining 121 (34.6%) charts--109 (31.1%) in clinic and 12 (3.4%) by phone follow-up. DISCUSSION: More often than not, PCPs appeared to not know that their patients sought medical care in the ED for asthma exacerbations. The majority of patients did not follow up with their providers. More electronically automated and reliable ways of sharing information may diminish COI and follow-up errors and thereby improve patient safety.

Randomized trial of endotracheal tube versus laryngeal mask airway in simulated prehospital pediatric arrest.

OBJECTIVE: Proficiency in airway management in children is difficult to acquire and maintain for prehospital providers. The laryngeal mask airway is a relatively new airway device. Its ease of use makes it an attractive potential alternative to endotracheal tubes in pediatrics. The objective of this study was to investigate whether, in simulated cardiopulmonary arrests in children, the use of laryngeal mask airway, compared with endotracheal tubes, results in shorter time to effective ventilation when performed by prehospital providers. METHODS: A randomized, crossover study was conducted in a local paramedic training program. Fifty-two emergency medical technicians agreed to participate. After a 2-hour training session, an arrest scenario was presented to each participant by using an infant-sized human patient simulator. The participants were randomly assigned first to use 1 of the 2 devices. Time to successful ventilation was recorded. Number of attempts and results were recorded. After the airway was secured successfully, the scenario was repeated with the alternative device. RESULTS: The mean +/- SD length of time to effective ventilation was 46 seconds when using endotracheal tubes and 23 seconds when using laryngeal mask airway, with a mean difference of 23 seconds. The mean number of attempts to achieve effective ventilation was 1.27 when using endotracheal tubes and 1.1 when using laryngeal mask airway. There were 9 (17%) episodes of esophageal intubations and 14 (27%) episodes of right main-stem intubations in the endotracheal tube group, and there were 5 (9.5%) episodes of malposition in the laryngeal mask airway group. CONCLUSIONS: In simulated pediatric arrests, the use of laryngeal mask airway, compared with endotracheal tubes, led to more rapid establishment of effective ventilation and fewer complications when performed by prehospital providers.