Health Record Use Research Articles

Electronic health records perception among three healthcare providers specialties in Saudi Arabia: A cross-sectional study.

Worldwide, more health care facilities are adapting the use of electronic health record (EHR). Healthcare providers (HCP) have different perceptions toward the use of EHR. To investigate the perception of three classes of HCP in Saudi Arabia toward using EHR, a questionnaire (targeting satisfaction, easiness, and benefits of use as major perception indicators) was prepared. The questionnaire was assessed by an expert panel for content validity. The questionnaire internal consistency was examined using Cronbach's alpha. 108 physicians, physical therapists (PT) and respiratory care therapists (RT) from different hospitals in Saudi Arabia answered the questionnaire. Most of respondents perceived EHR systems as beneficial and made work easier. Most HCP were satisfied with the use of EHR, however, with the use of EHR more time was needed to finish the work. Age, experience, job, and job rank of HCP are of different importance in determining responses, perception, and obstacles of using EHR. Moreover, the perception of using EHR seems to be field specific. There is a positive perception among Saudi Arabia HCP about EHR use.

Cognitive Ergonomics: A Review of Interventions for Outpatient Practice.

Doctoring is difficult mental work, involving many cognitively demanding processes such as diagnosing, decision-making, parallel processing, communicating, and managing the emotions of others. According to cognitive load theory (CLT), working memory is a limited cognitive resource that can support a finite amount of cognitive load. While the intrinsic cognitive load is the innate load associated with a task, the extraneous load is generated by inefficiency or suboptimal work conditions. Causes of extraneous cognitive load in healthcare include inefficiency, distractions, interruptions, multitasking, stress, poor communication, conflict, and incivility. High levels of cognitive load are associated with impaired function and an increased risk of burnout among physicians. Cognitive ergonomics is the branch of human factors and ergonomics (HFE) focused on supporting the cognitive processes of individuals within a system. In health care, where the cognitive burden on physicians is high, cognitive ergonomics can establish practices and systems that decrease extraneous cognitive load and support pertinent cognitive processes. In this review, we present cognitive ergonomics as a useful framework for conceptualizing an oft-overlooked dimension oflaborand apply theory to practice by summarizing evidence-based cognitive ergonomics interventions for outpatient care settings. Our proposed interventions are structured within four general recommendations: 1. minimize distractions, interruptions, and multitasking; 2. optimize the use of the electronic health record (EHR); 3. optimize the use of health information systems (HIS); and 4. support good communication and teamwork. Best practices in cognitive ergonomics can benefit patients, minimize practice inefficiency, and support physician career longevity.

Nurses' Attitudes and Factors Affecting Use of Electronic Health Record in Saudi Arabia.

(1) Background: Nurses' attitudes toward electronic health records (EHRs) is a very valuable issue that needs to be evaluated, understood, and considered one of the main factors that can lead to its improvement or handicap its implementation. This study aimed to assess nurses' attitudes toward EHRs and associated factors that affect the implementation of EHRs in different hospitals in Saudi Arabia. (2) Methods: A cross-sectional study was utilized to collect data from 297 nurses working in public hospitals and primary healthcare centers in Ha'il Province from January to May 2023. Data were collected using the Nurses' Attitudes Towards Computerization questionnaire and a sociodemographic and work-related characteristics sheet. (3) Results: Most of the participants' attitude scores (81.1%, n = 241) were more than or equal to 60, representing positive attitudes, whereas 18.9% (n = 56) of the nurses' scores were less than 60, which is interpreted as negative attitudes. There was a significant relationship between nurses' attitudes toward EHRs and a participants' sex, where males had a more positive attitude than females (p < 0.001). Particularly, young nurses and those who had previous computer experience had a more positive attitude than older nurses and those who had no computer experience (p = 0.044 and < 0.001, respectively). Saudi nurses holding a master's degree had significantly more positive attitudes toward EHRs than non-Saudi nurses holding a bachelor's or diploma degree (p = 0.007 and 0.048, respectively). Nurses with less experience (less than five years) in the nursing field had a significantly positive attitude. Multiple linear regression showed that sex (p = 0.038), level of education (p = 0.001), and previous computer experience (p < 0.001) were independent factors of nurses' knowledge of EHRs. (4) Conclusion: The majority of nurses had positive overall attitudes toward using EHRs. Nurses who are Saudi nationals, male, younger, have previous computer experience, and have less than five years of experience had a more positive attitude toward EHRs than nurses who are non-Saudi, female, older, have no computer experience, have bachelor's or diploma degree, and have less than five years of experience, respectively. Sex, education level, and previous computer experience were independent factors of nurses' knowledge of EHRs.

Perceived Patient Workload and Its Impact on Outcomes During New Cancer Patient Visits: Analysis of a Convenience Sample.

Studies exploring the workload in health care focus on the doctors' perspectives. The ecology of the health care environment is critical and different for doctors and patients. In this study, we explore the patient workload among newly diagnosed patients with cancer during their first visit and its impact on the patient's perceptions of the quality of care (their trust in their doctors, their satisfaction with the care visits, their perception of technology use). We collected data from the Hackensack Meridian Health, John Theurer Cancer Center between February 2021 and May 2022. The technology use considered during the visit is related to doctors' use of electronic health records. A total of 135 participants were included in the study. Most participants were 50-64 years old (n=91, 67.41%). A majority (n=81, 60%) of them were White, and only (n=16, 11.85%) went to graduate schools. The findings captured the significant effect of overall workload on trust in doctors and perception of health IT use within the visits. On the other hand, the overall workload did not impact patients' satisfaction during the visit. A total of 80% (n=108) of patients experienced an overall high level of workload. Despite almost 55% (n=75) of them experiencing a high mental load, 71.1% (n=96) reported low levels of effort, 89% (n=120) experienced low time pressure, 85.2% (n=115) experienced low frustration levels, and 69.6% (n=94) experienced low physical activity. The more overall workload patients felt, the less they trusted their doctors (odds ratio [OR] 0.059, 95% CI 0.001-2.34; P=.007). Low trust was also associated with the demanding mental tasks in the visits (OR 0.055, 95% CI 0.002-2.64; P<.001), the physical load (OR 0.194, 95% CI 0.004-4.23; P<.001), the time load (OR 0.183, 95% CI 0.02-2.35; P=.046) the effort needed to cope with the environment (OR 0.163, 95% CI 0.05-1.69; P<.001), and the frustration levels (OR 0.323, 95% CI 0.04-2.55; P=.03). The patients' perceptions of electronic health record use during the visit were negatively impacted by the overall workload experienced by the patients (OR 0.315, 95% CI 0.08-6.35; P=.01) and the high frustration level experienced (OR 0.111, 95% CI 0.015-3.75; P<.001). The study's findings established pathways for future research and have implications for cancer patients' workload. Better technology design and use can minimize perceived workload, which might contribute to the trust relationship between doctors and patients in this critical environment. Future human factors work needs to explore the workload and driving factors in longitudinal studies and assess whether these workloads might contribute to unintended patient outcomes and medical errors.

Potential bias and lack of generalizability in electronic health record data: reflections on health equity from the National Institutes of Health Pragmatic Trials Collaboratory.

Embedded pragmatic clinical trials (ePCTs) play a vital role in addressing current population health problems, and their use of electronic health record (EHR) systems promises efficiencies that will increase the speed and volume of relevant and generalizable research. However, as the number of ePCTs using EHR-derived data grows, so does the risk that research will become more vulnerable to biases due to differences in data capture and access to care for different subsets of the population, thereby propagating inequities in health and the healthcare system. We identify 3 challenges-incomplete and variable capture of data on social determinants of health, lack of representation of vulnerable populations that do not access or receive treatment, and data loss due to variable use of technology-that exacerbate bias when working with EHR data and offer recommendations and examples of ways to actively mitigate bias.

0483 Stakeholder Engagement Studios to Explore the Journey to Diagnosis of OSA Informed by Primary Care Providers and Patients

Abstract Introduction Barriers to obstructive sleep apnea (OSA) diagnosis include operational misalignments and miscommunications among patients, providers, industry, insurers, and the healthcare system. To explore this, we engaged stakeholders to examine determinants of OSA diagnosis in primary care to optimize trial planning. Methods We conducted two, separate, virtual, 1-hour stakeholder engagement studio sessions with Penn Medicine Primary Care Providers (n=6) and patients referred for OSA diagnostics within prior year (n=3). Facilitation guides were used to elicit barriers/facilitators to reaching diagnosis. Sessions were facilitated by a sleep physician and advanced practice sleep nurse with two note-takers in attendance. Rapid matrix analysis approach identified consistent themes within diagnosis barrier and facilitator categories. Themes were categorized by Safety Engineering Initiative for Patient Safety (SEIPS) work system domains: people (P), environment (E), tools (T), and tasks (T), PETT. Results Fourteen facilitators (2P, 3E, 3T, 6T) and 15 barriers (2P, 4E, 3T, 6T) were identified for “getting to OSA diagnosis.” Provider-level barriers include: hesitancy to provide anticipatory guidance to patients due to ambiguous workflows after referral, excessive referral order options, no access to templated patient instructions or quality education resources, confusing order panels and use of electronic health record (EHR) workarounds, and fragmented communication. Patient-level barriers include: timeliness of communication and care, sleep health unawareness, low technology literacy for EHR messaging, financial considerations, and insufficient follow-up from healthcare team. Provider facilitators include: classic OSA presentation, diagnosis decision aids, patient education resources, easy to find results in EHR, and low threshold to order referral due to knowledge about sleep. Patient facilitators include: trusted primary care relationship, choice of visit type (telehealth vs. in-person) and communication mode (phone call vs. text vs. EHR portal), active outreach/engagement by healthcare team, and access to educational materials. Conclusion Repeated studios, including stakeholders from varied sites, will further refine determinants with more saturation and validity. Engaging with stakeholders is supporting the design of a contextually relevant, end-user valued study to address undiagnosed OSA. Given the estimated high prevalence of undiagnosed OSA and the multiple stakeholders that contribute to the diagnostic process and experience, research-driven solutions will be impactful and better optimized with multi-level partnered research. Support (if any) K12HS026372

Electronic Health Records Design in the Nutrition Care Center of Teaching Factory at Politeknik Negeri Jember, Indonesia

The Nutrition Care Center (NCC) is one of the teaching factories (TEFA) at Politeknik Negeri Jember that provides community nutrition services. Preliminary data collection found that the factory did not have complete health database of their staff so that nutritionists find it difficult to screen for non-communicable disease risk factors. In this study, the use of Electronic Health Record (EHR) equipped with Clinical Decision Support System (CDSS) was incorporated to record, retrieve, archive, and update patients and other medical records in the NCC. This system provides easier health record management for the nutritionist team at the NCC TEFA Politeknik Negeri Jember. Medical records help them conduct screening on non-communicable disease (NCD) risk factors and make clinical decision support for doctors/counselors which have missions to reduce NCD cases in the productive age. This study used a waterfall method model and collected data through a literature review, observation, and interviews. The results produced an application of a clinic database management in which all data and information could be integrated well to improve the quality of services and facilitate data storage and access. This study concludes that the EHRs generates quick and accurate information to support operations and decision-making in the NCC.

Physician Electronic Health Record Use After Changes in US Centers for Medicare & Medicaid Services Documentation Requirements

This cohort study examines changes in physician electronic health record (EHR) documentation time before and after changes in Centers for Medicare &amp;amp;amp; Medicaid evaluation and management requirements.

Examining Pediatric Resident Electronic Health Records Use During Prerounding: Mixed Methods Observational Study

Electronic health records (EHRs) play a substantial role in modern health care, especially during prerounding, when residents gather patient information to inform daily care decisions of the care team. The effective use of the EHR system is crucial for efficient and frustration-free prerounding. Ideally, the system should be designed to support efficient user interactions by presenting data effectively and providing easy navigation between different pages. Additionally, training on the system should aim to make user interactions more efficient by familiarizing the users with best practices that minimize interaction time while using the full potential of the system's capabilities. However, formal training on EHR systems often falls short of providing residents with all the necessary EHR-related skills, leading to the adoption of inefficient practices and the underuse of the system's full range of capabilities. This study aims to examine the efficiency of EHR use during prerounding among pediatric residents, assess the effect of experience level on EHR use, and identify areas for improvement in EHR design and training. A mixed methods approach was used, involving a self-reported survey and video analysis of prerounding practices of the entire population of pediatric residents from a large teaching hospital in the South Atlantic Region. The residents were stratified by experience level by postgraduate year. Data were collected on the number of pages accessed, duration of prerounding, task completion rates, and effective use of data sources. Observational and qualitative data complemented the quantitative analysis. Our study followed the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) reporting guidelines, ensuring completeness and transparency of reporting. Of the 30 pediatric residents, 20 were included in the analyses; of these, 16 (80%) missed at least 1 step during prerounding. Although more experienced residents on average omitted fewer steps, 4 (57%) of the 7 most experienced residents still omitted at least 1 step. On average, residents took 6.5 minutes to round each patient and accessed 21 pages within the EHR during prerounding; no statistically significant differences were observed between experience levels for prerounding times (P=.48) or number of pages accessed (P=.92). The use of aggregated data pages within the EHR system neither seem to improve prerounding times nor decrease the number of pages accessed. The findings suggest that EHR design should be improved to better support user needs, and hospitals should adopt more effective training programs to familiarize residents with the system's capabilities. We recommend implementing prerounding checklists and providing ongoing EHR training programs for health care practitioners. Despite the generalizability of limitations of our study in terms of sample size and specialization, it offers valuable insights for future research to investigate the impact of EHR use on patient outcomes and satisfaction, as well as identify factors that contribute to efficient and effective EHR usage.

Patient and researcher stakeholder preferences for use of electronic health record data: a qualitative study to guide the design and development of a platform to honor patient preferences.

This qualitative study aimed to understand patient and researcher perspectives regarding consent and data-sharing preferences for research and a patient-centered system to manage consent and data-sharing preferences. We conducted focus groups with patient and researcher participants recruited from three academic health centers via snowball sampling. Discussions focused on perspectives on the use of electronic health record (EHR) data for research. Themes were identified through consensus coding, starting from an exploratory framework. We held two focus groups with patients (n = 12 patients) and two with researchers (n = 8 researchers). We identified two patient themes (1-2), one theme common to patients and researchers (3), and two researcher themes (4-5). Themes included (1) motivations for sharing EHR data, (2) perspectives on the importance of data-sharing transparency, (3) individual control of personal EHR data sharing, (4) how EHR data benefits research, and (5) challenges researchers face using EHR data. Patients expressed a tension between the benefits of their data being used in studies to benefit themselves/others and avoiding risk by limiting data access. Patients resolved this tension by acknowledging they would often share their data but wanted greater transparency on its use. Researchers expressed concern about incorporating bias into datasets if patients opted out. A research consent and data-sharing platform must consider two competing goals: empowering patients to have more control over their data and maintaining the integrity of secondary data sources. Health systems and researchers should increase trust-building efforts with patients to engender trust in data access and use.

Characterizing neurologist EHR use: a cross-sectional analysis (P7-7.003)

<h3>Objective:</h3> We evaluated electronic health record (EHR) use metrics across two academic systems using the same EHR vendor. <h3>Background:</h3> The use of standardized EHR metrics allows direct comparisons of individual and departmental EHR use and the ability to track changes over time. We evaluated the following ambulatory EHR metrics normalized to 8 hours of scheduled patient time: total EHR time, work outside of work (WOW), time on note documentation, time on orders, time on inbox and note length in characters. <h3>Design/Methods:</h3> Ambulatory audit log data per encounter from the University of Illinois at Chicago (UIC) and the University of Texas Medical Branch (UTMB) was evaluated for August 2022. <h3>Results:</h3> Among 36 neurologists in the analysis (22 at UIC [61%], and 12 at UTMB [39%], respectively), the average EHR-Time was 2.25 (±1.29) hours. WOW time was 2.01 (±1.53) hours. Time in Notes was 0.85 (±0.72) hours. Time on Orders was 0.33 (±0.30) hours. Times on Inbox 0.23 (±0.19) hours. Note length in characters was 5,963 (±3,062). No statistical differences were noted by metric across each EHR institutions (p&lt;0.05, t-test). <h3>Conclusions:</h3> Normalized EHR metrics can be used to evaluate EHR use by neurologists across institutions. Future initiatives to improve documentation practices (reducing note bloat and comply with E/M coding changes) can be tracked across institutions with suitable metrics. <b>Disclosure:</b> Dr. Rodriguez-Fernandez has nothing to disclose. Dr. Hier has nothing to disclose. Dr. Loeb has received personal compensation in the range of $0-$499 for serving as an officer or member of the Board of Directors for Sturge Weber Foundation. Dr. Loeb has received personal compensation in the range of $10,000-$49,999 for serving as an Expert Witness for various Law firms. The institution of Dr. Loeb has received research support from Patrick Grange Memorial Foundation. Dr. Loeb has received intellectual property interests from a discovery or technology relating to health care.

Patient and provider perspectives of personal health record use: a multisite qualitative study in HIV care settings.

Use of tethered personal health records (PHRs) can streamline care, reduce unnecessary care utilization, and improve health outcomes for people living with human immunodeficiency virus (HIV). Providers play a role in influencing patients' decision to adopt and use PHRs. To explore patient and provider acceptance and use of PHRs in an HIV care setting. We used a qualitative study design guided by the Unified Theory of Acceptance and Use of Technology. Participants included providers of HIV care, patients living with HIV, and PHR coordinating and support staff in the Veterans Health Administration (VA). Interviews were analyzed using directed content analysis. We interviewed providers (n = 41), patients living with HIV (n = 60), and PHR coordinating and support staff (n = 16) at six VA Medical Centers between June and December 2019. Providers perceived PHR use could enhance care continuity, appointment efficiency, and patient engagement. Yet, some expressed concerns that patient PHR use would increase provider workload and detract from clinical care. Concerns about poor PHR interoperability with existing clinical tools further eroded acceptance and use of PHRs. PHR use can enhance care for patients with HIV and other complex, chronic conditions. Negative provider attitudes toward PHRs may impact providers' encouragement of use among patients, consequently limiting patient uptake. Multipronged interventions at the individual, institutional, and system level are needed to enhance PHR engagement among both providers and patients.

Improving Early Colostrum Administration to Very Low Birth Weight Infants in a Level 3 Neonatal Intensive Care Unit: A Quality Improvement Initiative

To increase early oral immune therapy (OIT) with colostrum administered to the buccal mucosa in order to improve our human milk practices for very low birth weight (VLBW) infants admitted to a level 3 NICU. Using the Institute for Healthcare Improvement's (IHI) Model for Improvement, several interventions aimed at increasing early OIT administration were implemented. Four key drivers included: optimizing evidence based OIT guidelines, personnel alignment and engagement, optimal electronic health record (EHR) use for ordering practices, and timely lactation consultant involvement. The primary outcome measure was early OIT administration, while secondary outcome measures examined all OIT administration and human milk at discharge. Process measures included the percentage of staff members who were compliant with OIT protocol. Early OIT administration increased from a baseline mean of 6% to 55% in the 12-month study period. Percentage of total (early and late) OIT administration to VLBW infants increased from a baseline of 21% to 85%. Average human milk at discharge for VLBW infants remained at 44%, without significant improvement. A multidisciplinary quality improvement initiative led to significant improvement in OIT administration to infants at a level 3 NICU.

Disseminating child abuse clinical decision support among commercial electronic health records: Effects on clinical practice.

The use of electronic health record (EHR)-embedded child abuse clinical decision support (CA-CDS) may help decrease morbidity from child maltreatment. We previously reported on the development of CA-CDS in Epic and Allscripts. The objective of this study was to implement CA-CDS into Epic and Allscripts and determine its effects on identification, evaluation, and reporting of suspected child maltreatment. After a preimplementation period, CA-CDS was implemented at University of Wisconsin (Epic) and Northwell Health (Allscripts). Providers were surveyed before the go-live and 4 months later. Outcomes included the proportion of children who triggered the CA-CDS system, had a positive Child Abuse Screen (CAS) and/or were reported to Child Protective Services (CPS). At University of Wisconsin (UW), 3.5% of children in the implementation period triggered the system. The CAS was positive in 1.8% of children. The proportion of children reported to CPS increased from 0.6% to 0.9%. There was rapid uptake of the abuse order set.At Northwell Health (NW), 1.9% of children in the implementation period triggered the system. The CAS was positive in 1% of children. The child abuse order set was rarely used. Preimplementation, providers at both sites were similar in desire to have CA-CDS system and perception of CDS in general. After implementation, UW providers had a positive perception of the CA-CDS system, while NW providers had a negative perception. CA-CDS was able to be implemented in 2 different EHRs with differing effects on clinical care and provider feedback. At UW, the site with higher uptake of the CA-CDS system, the proportion of children who triggered the system and the rate of positive CAS was similar to previous studies and there was an increase in the proportion of cases of suspected abuse identified as measured by reports to CPS. Our data demonstrate how local environment, end-users' opinions, and limitations in the EHR platform can impact the success of implementation. When disseminating CA-CDS into different hospital systems and different EHRs, it is critical to recognize how limitations in the functionality of the EHR can impact the success of implementation. The importance of collecting, interpreting, and responding to provider feedback is of critical importance particularly with CDS related to child maltreatment.

PREDICTING MORTALITY RATE IN ICU USING MACHINE LEARNING: A STUDY

Mortality rate is the measure of number of death in a limited population or by a particular cause within a certain time period. In healthcare system Intensive Care unit (ICU) plays an important role for critical condition patients. Mortality prediction of critical condition ICU patients who needs special care is a major problem of concern. The focus of this work is to predict ICU patient’s mortality by the use of health record from ICU. Nowadays, machine learning plays an important role to resolve many health related issues which includes handling of patient’s health related data and records, development of new medical procedures and the treatment of disease like cancer, heart disease, stroke, diabetes and arthritis etc. Various machine learning models are used to analyze health records to come up with solutions for different health related issues. In this work, four popular supervised machine learning algorithms, Decision Tree(DT), Random Forest (RF), K-Nearest Neighbors (KNN) and Logistic Regression(LR) has been used to predict patients mortality in ICU. In this work, In Hospital Mortality Prediction dataset which is part of MIMIC-III database has been used. The dataset is available to download and free to use from Kaggle. In our work of mortality prediction, a maximum accuracy of 0.87 has been achieved.

Electronic Health Record Burden Among Gastroenterology Providers Associated With Subspecialty and Training.

Use of the electronic health record (EHR) has become increasingly widespread. Higher EHR burden is associated with burnout, but this has not been specifically investigated among gastroenterology (GI) providers. We retrospectively collected measures of EHR use for outpatient GI providers during a 6-month period. We compared metrics across provider sex, subspecialty, and training (physicians vs nonphysician providers [NPPs]). Data collected represented more than 16,000 appointments from 41 providers across the Division of Gastroenterology and Hepatology. Inflammatory bowel disease (IBD) and hepatology specialists spent more time per appointment in the EHR, clinical review, and outside regular hours compared with other subspecialists. NPPs spent more EHR time than physicians. IBD and hepatology specialists and NPPs may have disproportionally high EHR burden. More work is needed to understand differences in provider workload to combat burnout.

O.3.3 - Access frequency, institutional empowerment and online health record use in later life: Presenter(s): Dennis Rosenberg, University of Haifa, Israel

O.3.3 - Access frequency, institutional empowerment and online health record use in later life: Presenter(s): Dennis Rosenberg, University of Haifa, Israel

Electronic Health Record Use and Perceptions among Urologic Surgeons.

Electronic health records (EHRs) have become widely adopted with increasing emphasis on improving care delivery. Improvements in surgery may be limited by specialty-specific issues that impact EHR usability and engagement. Accordingly, we examined EHR use and perceptions in urology, a diverse surgical specialty. We conducted a national, sequential explanatory mixed methods study. Through the 2019 American Urological Association Census, we surveyed urologic surgeons on EHR use and perceptions and then identified associated characteristics through bivariable and multivariable analyses. Using purposeful sampling, we interviewed 25 urologists and applied coding-based thematic analysis, which was then integrated with survey findings. Among 2,159 practicing urologic surgeons, 2,081 (96.4%) reported using an EHR. In the weighted sample (n = 12,366), over 90% used the EHR for charting, viewing results, and order entry with most using information exchange functions (59.0-79.6%). In contrast, only 35.8% felt the EHR increases clinical efficiency, whereas 43.1% agreed it improves patient care, which related thematically to information management, administrative burden, patient safety, and patient-surgeon interaction. Quantitatively and qualitatively, use and perceptions differed by years in practice and practice type with more use and better perceptions among more recent entrants into the urologic workforce and those in academic/multispecialty practices, who may have earlier EHR exposure, better infrastructure, and more support. Despite wide and substantive usage, EHRs engender mixed feelings, especially among longer-practicing surgeons and those in lower-resourced settings (e.g., smaller and private practices). Beyond reducing administrative burden and simplifying information management, efforts to improve care delivery through the EHR should focus on surgeon engagement, particularly in the community, to boost implementation and user experience.

Academic Health Centers and Humanitarian Crises: One Health System's Response to Unaccompanied Children at the Border.

University of California Health (UCH) provided a system-wide, rapid response to the humanitarian crisis of unaccompanied children crossing the southern U.S. border in the midst of the COVID-19 pandemic in 2021. In collaboration with multiple federal, state, and local agencies, UCH mobilized a multidisciplinary team to deliver acute general and specialty pediatric care to unaccompanied children at 2 Californian emergency intake sites (EISs). The response, which did not disrupt normal UCH operations, mobilized the capacities of the system and resulted in a safe and developmentally appropriate environment that supported the physical and mental health of migrant children during this traumatic period. The capacities of UCH's 6 academic health centers ensured access to trauma-informed medical care and culturally sensitive psychological and social support. Child life professionals provided access to exercise, play, and entertainment. Overall, 260 physicians, 42 residents and fellows, 4 nurse practitioners participated as treating clinicians and were supported by hundreds of staff across the 2 EISs. Over 5 months and across both EISs, a total of 4,911 children aged 3 to 17 years were cared for. A total of 782 children had COVID-19, most infected before arrival. Most children (3,931) were reunified with family or sponsors. Continuity of care after reunification or placement in a long-term shelter was enhanced by use of an electronic health record. The effort provided an educational experience for residents and fellows with instruction in immigrant health and trauma-informed care. The effort benefitted from UCH's recent experience of providing a system-wide response to the COVID-19 pandemic. Lessons learned are reported to encourage the alignment and integration of academic health centers' capacities with federal, state, and local plans to better prepare for and respond to the accelerating need to care for those in the wake of disasters and humanitarian crises.

Effects of high-fiber food product consumption and personal health record use on body mass index and bowel movement

A health program including consumption of high-fiber ZENB Noodles (ZN) and ZENB Sticks (ZS), combined with the use of a personal health record (PHR) was employed; effects on body mass index (BMI) and bowel movement were evaluated. Fifty-nine healthy adults with overweight (mean baseline BMI, 27.0 kg/m2) participated and consumed ZN and ZS once daily, five days/week for 12 weeks and tracked their dietary intake, body weight, and blood pressure using a mobile PHR application (Welby My Carte). Mean BMI decreased significantly to 26.8 kg/m2 at 8 weeks (p = 0.031). The mean number of weekly bowel movements per participant increased significantly from 6.95 at baseline to 8.78, 8.34, and 8.58 at 4, 8, and 12 weeks, respectively (all p < 0.001). Thus, high-fiber food product consumption and PHR use decreased BMI and improved bowel movement among healthy adults with overweight. This study was registered in the UMIN Clinical Trials Registry (UMIN trial ID:UMIN000040105).