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Acuity assessments are vital for timely interventions and fair resource allocation in critical care settings. Conventional acuity scoring systems heavily depend on subjective patient assessments, leaving room for implicit bias and errors. These assessments are often manual, time-consuming, intermittent, and challenging to interpret accurately, especially for healthcare providers. This risk of bias and error is likely most pronounced in time-constrained and high-stakes environments, such as critical care settings. Furthermore, such scores do not incorporate other information, such as patients' mobility level, which can indicate recovery or deterioration in the intensive care unit (ICU), especially at a granular level. We hypothesized that wearable sensor data could assist in assessing patient acuity granularly, especially in conjunction with clinical data from electronic health records (EHR). In this prospective study, we evaluated the impact of integrating mobility data collected from wrist-worn accelerometers with clinical data obtained from EHR for estimating acuity. Accelerometry data were collected from 87 patients wearing accelerometers on their wrists in an academic hospital setting. The data was evaluated using five deep neural network models: VGG, ResNet, MobileNet, SqueezeNet, and a custom Transformer network. These models outperformed a rule-based clinical score (Sequential Organ Failure Assessment, SOFA) used as a baseline when predicting acuity state (for ground truth we labeled as unstable patients if they needed life-supporting therapies, and as stable otherwise), particularly regarding the precision, sensitivity, and F1 score. The results demonstrate that integrating accelerometer data with demographics and clinical variables improves predictive performance compared to traditional scoring systems in healthcare. Deep learning models consistently outperformed the SOFA score baseline across various scenarios, showing notable enhancements in metrics such as the area under the receiver operating characteristic (ROC) Curve (AUC), precision, sensitivity, specificity, and F1 score. The most comprehensive scenario, leveraging accelerometer, demographics, and clinical data, achieved the highest AUC of 0.73, compared to 0.53 when using SOFA score as the baseline, with significant improvements in precision (0.80 vs. 0.23), specificity (0.79 vs. 0.73), and F1 score (0.77 vs. 0.66). This study demonstrates a novel approach beyond the simplistic differentiation between stable and unstable conditions. By incorporating mobility and comprehensive patient information, we distinguish between these states in critically ill patients and capture essential nuances in physiology and functional status. Unlike rudimentary definitions, such as equating low blood pressure with instability, our methodology delves deeper, offering a more holistic understanding and potentially valuable insights for acuity assessment.

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OBJECTIVE: To test whether different clinical decision support tools increase clinician orders and patient completions relative to standard practice and each other. STUDY DESIGN: A pragmatic, patient-randomized clinical trial in the electronic health record was conducted between October 2019 and April 2020 at Geisinger Health System in Pennsylvania, with 4 arms: care gap-a passive listing recommending screening; alert-a panel promoting and enabling lipid screen orders; both; and a standard practice-no guideline-based notification-control arm. Data were analyzed for 13 346 9- to 11-year-old patients seen within Geisinger primary care, cardiology, urgent care, or nutrition clinics, or who had an endocrinology visit. Principal outcomes were lipid screening orders by clinicians and completions by patients within 1 week of orders. RESULTS: Active (care gap and/or alert) vs control arm patients were significantly more likely (P < .05) to have lipid screening tests ordered and completed, with ORs ranging from 1.67 (95% CI 1.28-2.19) to 5.73 (95% CI 4.46-7.36) for orders and 1.54 (95% CI 1.04-2.27) to 2.90 (95% CI 2.02-4.15) for completions. Alerts, with or without care gaps listed, outperformed care gaps alone on orders, with odds ratios ranging from 2.92 (95% CI 2.32-3.66) to 3.43 (95% CI 2.73-4.29). CONCLUSIONS: Electronic alerts can increase lipid screening orders and completions, suggesting clinical decision support can improve guideline-concordant screening. The study also highlights electronic record-based patient randomization as a way to determine relative effectiveness of support tools. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04118348.

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Introducción: hacer el registro de los cuidados que la Enfermería proporciona diariamente a los pacientes, es una tarea esencial, tanto para dar una adecuada calidad sanitaria como para el desarrollo de la profesión. Objetivo: identificar la calidad de los registros electrónicos de Enfermería de un hospital de alta complejidad de la ciudad de Corrientes. Metodología: se realizó un estudio cuantitativo de tipo descriptivo transversal donde se revisaron 133 historias clínicas digitales mediante una herramienta adaptada y previamente validada. Resultados: de forma específica, la variable identificación del paciente obtuvo calidad buena, en cuanto al registro de la valoración se identificó que el 92% de las historias clínicas registraron menos de 6 indicadores, una calidad deficiente, y el 8% restante registró calidad regular, y la variable intervenciones obtuvo una calidad deficiente con un 87% de registro de los indicadores. Conclusión: en los resultados de la investigación se llegó a la conclusión de que, la calidad de los registros electrónicos de enfermería del servicio de terapia intensiva del hospital es de calidad deficiente respecto al registro electrónico del proceso enfermero[AU]

Introduction: recording the care that nursing provides daily to patients is an essential task, both for providing adequate health quality and for the development of the profession. Objective:to identify the quality of the electronic nursing records of a highly complex hospital in the city of Corrientes. Methodology: a cross-sectional descriptive quantitative study was carried out where 133 digital medical records were reviewed using an adapted and previously validated tool. Results: specifically, the patient identification variable obtained good quality, regarding the assessment record, it was identified that 92% of the medical records re-gistered less than 6 indicators, a poor quality, and the remaining 8% re-gistered regular quality, and the variable interventions obtained a poorquality with 87% registering the indicators. Conclusion: in the results of the investigation, it was concluded that the quality of the electronic nursing records of the hospital's intensive care service is of poor quality compared to the electronic record of the nursing process[AU]

Introdução: registrar os cuidados que a enfermagem presta diaria-mente aos pacientes é tarefa essencial, tanto para a prestação de uma saúde de qualidade adequada, quanto para o desenvolvimento da profissão. Objetivo: identificar a qualidade dos registros eletrônicos de enfermagem de um hospital de alta complexidade da cidade de Corrientes. Metodologia: realizouse um estudo quantitativo descritivo transversal onde foram revistos 133 prontuários digitais por meio de um instrumento adaptado e previamente validado. Resultados: especificamente, a variável identificação do paciente obteve qualidade boa, quanto ao registro de avaliação, identificouse que 92% dos prontuários registraram menos de 6 indicadores, a qualidade ruim, e os 8% restantes registraram qualidade regular, e a variável as intervenções obtiveram uma qualidade ruim com 87% registrando os indicadores. Conclusão: nos resultados da investigação concluiuse que a qualidade do prontuário eletrônico de enfermagem do serviço de terapia intensiva do hospital é de baixa qualidade em relação ao prontuário eletrônico do processo de enfermagem[AU]

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Background: Aeroallergen testing informs precision care for adults with asthma, yet the epidemiology of testing in this population remains poorly understood. Objective: We sought to identify factors associated with receiving aeroallergen testing, the results of these tests, and subsequent reductions in exacerbation measures among adults with asthma. Methods: We used electronic health record data to conduct a retrospective, observational cohort study of 30,775 adults with asthma who had an office visit with a primary care provider or an asthma specialist from January 1, 2017, to August 26, 2022. We used regression models to identify (1) factors associated with receiving any aeroallergen test and tests to 9 allergen categories after the index visit, (2) factors associated with positive test results, and (3) reductions in asthma exacerbation measures in the year after testing compared with before testing. Results: Testing was received by 2201 patients (7.2%). According to multivariable models, receiving testing was associated with having any office visit with an allergy/immunology specialist during the study period (odds ratio [OR] = 91.3 vs primary care only [P < .001]) and having an asthma emergency department visit (OR = 1.62 [P = .004]) or hospitalization (OR = 1.62 [P = .03]) in the year before the index visit. Age 65 years or older conferred decreased odds of testing (OR = 0.74 vs age 18-34 years [P = .008]) and negative test results to 6 categories (P ≤ .04 for all comparisons). Black race conferred increased odds of testing (OR =1.22 vs White race [P = .01]) and positive test results to 8 categories (P < .04 for all comparisons). Exacerbation measures decreased after testing. Conclusion: Aeroallergen testing was performed infrequently among adults with asthma and was associated with reductions in asthma exacerbation measures.

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Electronic Health Records (EHR) are critical tools for advancing digital health worldwide. In Brazil, EHR development must follow specific standards, laws, and guidelines that contribute to implementing beneficial resources for population health monitoring. This paper presents an audit of the main approaches used for EHR development in Brazil, thus highlighting prospects, challenges, and existing gaps in the field. We applied a systematic review protocol to search for articles published from 2011 to 2021 in seven databases (Science Direct, Web of Science, PubMed, Springer, IEEE Xplore, ACM Digital Library, and SciELO). Subsequently, we analyzed 14 articles that met the inclusion and quality criteria and answered our research questions. According to this analysis, 78.58% (11) of the articles state that interoperability between systems is essential for improving patient care. Moreover, many resources are being designed and deployed to achieve this communication between EHRs and other healthcare systems in the Brazilian landscape. Besides interoperability, the articles report other considerable elements: (i) the need for increased security with the deployment of permission resources for viewing patient data, (ii) the absence of accurate data for testing EHRs, and (iii) the relevance of defining a methodology for EHR development. Our review provides an overview of EHR development in Brazil and discusses current gaps, innovative approaches, and technological solutions that could potentially address the related challenges. Lastly, our study also addresses primary elements that could contribute to relevant components of EHR development in the context of Brazil's public health system. Systematic review registration: PROSPERO, identifier CRD42021233219, https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021233219.

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PURPOSE: Integrating genomic data into the electronic health record (EHR) is key for optimally delivering genomic medicine. METHODS: The PennChart Genomics Initiative (PGI) at the University of Pennsylvania is a multidisciplinary collaborative that has successfully linked orders and results from genetic testing laboratories with discrete genetic data in the EHR. We quantified the use of the genomic data within the EHR, performed a time study with genetic counselors, and conducted key informant interviews with PGI members to evaluate the effect of the PGI's efforts on genetics care delivery. RESULTS: The PGI has interfaced with 4 genetic testing laboratories, resulting in the creation of 420 unique computerized genetic testing orders that have been used 4073 times to date. In a time study of 96 genetic testing activities, EHR use was associated with significant reductions in time spent ordering (2 vs 8 minutes, P < .001) and managing (1 vs 5 minutes, P < .001) genetic results compared with the use of online laboratory-specific portals. In key informant interviews, multidisciplinary collaboration and institutional buy-in were identified as key ingredients for the PGI's success. CONCLUSION: The PGI's efforts to integrate genomic medicine into the EHR have substantially streamlined the delivery of genomic medicine.

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OBJECTIVES: To assess the relationship between an Area Deprivation Index (ADI) and a Social Determinant of Health (SDoH) measure within a diverse sample. A prescreening tool based on routinely collected information could reduce clinical burden by identifying patients impacted by SDoH for comprehensive assessment. STUDY DESIGN: In total, 499 consented pediatric patient-families who spoke English, Spanish, or Arabic and had a child ≤12 years receiving primary care at a large academic institution were enrolled. Participants completed the Health Leads Social Needs (HLSN) survey. Residential address was extracted from the electronic health record to calculate Brokamp ADI at the census-tract level. The main outcome was the correlations between the total HLSN score and Brokamp ADI, overall and in each language subgroup. ADI distributions were also compared between participants with/without need for each of the 8 HLSN survey SDoH domains, using 2-sample t-tests and Pearson χ2 tests. RESULTS: In total, 54.9% of participants were English-speaking, 30.9% were Spanish-speaking, and 14.2% were Arabic-speaking. Spearman correlations between Brokamp ADI and total HLSN score were overall (rs = 0.15; P = .001), English (rs = 0.12; P = .04), Spanish (rs = 0.03; P = .7), and Arabic (rs = 0.24; P = .04). SDoH domain analyses found significant ADI differences between those with/without need in housing instability, childcare, transportation, and health literacy. CONCLUSIONS: There were small but statistically significant associations between the Brokamp ADI and total HLSN score and SDoH domains of housing instability, childcare, transportation, and health literacy. These findings support testing the Brokamp ADI as a prescreening tool to help identify patients with social needs in an outpatient clinical setting.

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The objective of this study was to investigate and analyze the most relevant aspects that influence the development and implementation of electronic informed consent for genetic studies. Interviews were conducted with experts in the area within our institution, the different informed consents available and the number of genetic studies requested in the last 5 years were analyzed. Professionals acknowledged the ethical dilemmas related to the genetic studies and the importance of having an electronic informed consent that not only provides the patient with the information necessary to understand the implications of the study, but also be flexible enough to adapt to the various genetic studies today. The development of informed consent is a challenge for health IT professionals, due to the complexity of the information it contains and the ethical implications it represents.

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OBJECTIVE: To determine the effect of implementation of an automated sepsis screening tool on the median cost of affected patient encounters. STUDY DESIGN: This retrospective cohort study used propensity score-matched comparison groups to assess the difference in median cost for comparable affected patient encounters before and after the implementation of an automated sepsis screening tool in a large US children's hospital emergency department (ED) with >90 000 annual visits. All patient encounters in 2018 impacted by the automated sepsis screening tool were included and compared with a propensity score-matched comparison group drawn from patient encounters in 2012 that might have been affected by the screening tool had it been active at that time. The main outcome was the change in the median cost for comparable affected patient encounters. RESULTS: The overall median cost for those affected by an automated sepsis screening tool decreased by 21.2%, from $6454 (IQR, $968-$21 697) to $5084 (IQR, $802-$16 618). The median cost for encounters with an associated International Classification of Diseases sepsis code decreased by 51.1%, from $58 685 (IQR, $32 224-$134 895) to $28 672 (IQR, $16 796-$60 657). CONCLUSIONS: The median cost for comparable patient encounters decreased with implementation of an automated sepsis screening tool in the pediatric ED. Costs were decreased even more substantially for patients with sepsis. In addition to improving outcomes, an automated sepsis screening tool appears to be at least cost-effective and may be cost-saving, an incentive for more widespread use of this technology.

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Resumen Introducción. Un elemento de la e-salud que ha cobrado gran relevancia es el Expediente Clínico Electrónico (ECE) ya que es un medio para lograr mejores resultados en la práctica médica. Al momento, han sido pocas las investigaciones que se han centrado en analizar e identificar la situación de esta estrategia en el mundo. Por ello, el objetivo de esta investigación es analizar el panorama actual del ECE en diversos países considerando las ventajas, desventajas, desafíos y factores de éxito en su implementación. Metodología: Se realizó una revisión de la literatura existente sobre el ECE en base de datos especializadas. Para obtener estos estudios se utilizó la base de datos de scopus y sciencedirect , utilizando palabras de búsqueda como como registro electrónico de salud, registro médico electrónico o expediente clínico electrónico; se seleccionaron solamente aquellos estudios con un alto factor de impacto, mismo que se refiere al número de veces que se hayan citado los artículos consultados. Se seleccionaron y analizaron 64 estudios académicos. Resultados. Se encontró que aún existen importantes desafíos y desventajas en la implementación del ECE como la interoperabilidad semántica y el estrés laboral que genera en los usuarios este sistema. Conclusiones. Existen cuestiones importantes que aún quedan por resolver para una implementación eficaz del ECE. Es necesario integrar a todos los involucrados en el proceso de cambio, así como establecer las medidas de seguridad necesarias para garantizar la privacidad de la información.

Abstract Introduction. An element of e-health that has gained great relevance is the Electronic Medical Record (ECE) since it is a means to achieve better results in medical practice. At the moment, few investigations have focused on analyzing and identifying the situation of this strategy in the world. Therefore, the objective of this research is to analyze the current panorama of ECE in various countries considering the advantages, disadvantages, challenges and success factors in its implementation. Methodology. A review of the existing literature on ECE was carried out in specialized databases. To obtain these studies, the scopus and sciencedirect databases were used, using search words such as "electronic health record", "electronic medical record" or "electronic medical record"; Only those studies with a high impact factor were selected, which refers to the number of times the articles consulted have been cited. 64 academic studies were selected and analyzed. Results. It was found that there are still important challenges and disadvantages in the implementation of ECE such as semantic interoperability and the work stress that this system generates in users. Conclusions. There are important issues that remain to be resolved in the effective implementation of the ECE. It is necessary to integrate all those involved in the change process as well as to establish the necessary security measures to guarantee the privacy of the information.

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