Outcomes of Patients with Sepsis in a Pediatric Emergency Department after Automated Sepsis Screening.

OBJECTIVE: To determine the effect of an automated sepsis screening tool on treatment and outcomes of severe sepsis in a pediatric emergency department (ED). STUDY DESIGN: Retrospective cohort study of encounters of patients with severe sepsis in a pediatric ED with a high volume of pediatric sepsis cases over a 2-year period. The automated sepsis screening algorithm replaced a manual screen 1 year into the study. The primary outcome was the proportion of patients treated for sepsis while in the ED. Secondary outcomes were time from ED arrival to first intravenous (IV) antibiotic and first IV fluid bolus, volume of fluid administered in the ED, 30-day mortality, intensive care unit-free days, and hospital-free days. RESULTS: In year 1 of the study, 8910 of 61 026 (14.6%) of encounters had a manual sepsis screen; 137 patients met criteria for severe sepsis. In year 2, 100% of 61 195 encounters had an automated sepsis screen and there were 136 cases of severe sepsis. There was a higher proportion of patients with severe sepsis who had an active malignancy and indwelling central venous catheter in year 2. There were no differences in the proportion of patients treated for sepsis in the ED, time to first IV antibiotic or first IV fluid bolus, fluid volume delivered in the ED, hospital-free days, intensive care unit-free days, or 30-day mortality after implementation of the automated screening algorithm. CONCLUSIONS: An automated sepsis screening algorithm introduced into an academic pediatric ED with a high volume of sepsis cases did not lead to improvements in treatment or outcomes of severe sepsis in this study.

An Experience of Electronic Health Records Implementation in a Mexican Region.

Employing software engineering to build an integrated, standardized, and scalable solution is closely associated with the healthcare domain. Furthermore, new diagnostic techniques have been developed to obtain better results in less time, saving costs, and bringing services closer to the most unprotected areas. This paper presents the integration of a top-notch component, such as hardware, software, telecommunications, and medical equipment, to produce a complete system of Electronic Health Record (EHR). The EHR implementation aims to contribute to the expansion of the health services offer concerning people who live in locations where typically have difficult access to medical care. The methodology throughout the work is a Strategic Planning to set priorities, focus energy and resources, strengthen operations, ensure that directors, managers, employees, and other stakeholders are working toward common goals, establish agreement around intended outcomes/results. A medical and technical team is incorporated to complete the tasks of process and requirements analysis, software coding and design, technical support, training, and coaching for EHR system users throughout the implementation process. The adoption of those tools reflect notably some expected results and benefits on patient care. The EHR implementation ensures that information collection does not duplicate already existing information or duplicate effort and maximize the practical use of the data collected. Moreover, the EHR reduces mistakes in hospital readmissions, improves paperwork, promotes the progress of the state's health care system providing emergency, specialty, and primary health care in a rural area of Campeche. The EHR implementation is critical to support decision making and to promote public health. The total number of consults increased markedly from 2012 (14021) to 2019 (34751). The most commonly treated diseases in this region of Mexico are hypertension (17632) and diabetes (13156). The best results are obtained in the Nutrition (20,61%) and clinical psychology services (16,67%), and the worst levels are registered in pediatric and surgical oncology services where only 1,59% and 1,97% of the patients are admitted in less than 30 min, respectively.

Protocol for LINKS (linking individual needs to community and clinical services): a prospective matched observational study of a community health worker community clinical linkage intervention on the U.S.-Mexico border.

BACKGROUND: Latinos are currently the largest and fastest growing racial/ethnic group in the United States and have the lowest rates nationally of regular sources of primary care. The changing demographics of Latino populations have significant implications for the future health of the nation, particularly with respect to chronic disease. Community-based agencies and clinics alike have a long history of engaging community health workers (CHWs) to provide a broad range of tangible and emotional support strategies for Latinos with chronic diseases. In this paper, we present the protocol for a community intervention designed to evaluate the impact of CHWs in a Community-Clinical Linkage model to address chronic disease through innovative utilization of electronic health records (EHRs) and application of mixed methodologies. Linking Individual Needs to Community and Clinical Services (LINKS) is a 3-year, prospective matched observational study designed to examine the feasibility and impact of CHW-led Community-Clinical Linkages in reducing chronic disease risk and promoting emotional well-being among Latinos living in three U.S.-Mexico border communities. METHODS: The primary aim of LINKS is to create Community-Clinical Linkages between three community health centers and their respective county health departments in southern Arizona. Our primary analysis is to examine the impact of the intervention 6 to 12-months post program entry. We will assess chronic disease risk factors documented in the EHRs of participants versus matched non-participants. By using a prospective matched observational study design with EHRs, we have access to numerous potential comparators to evaluate the intervention effects. Secondary analyses include modeling within-group changes of extended research-collected measures. This approach enhances the overall evaluation with rich data on physical and emotional well-being and health behaviors of study participants that EHR systems do not collect in routine clinical practice. DISCUSSION: The LINKS intervention has practical implications for the development of Community-Clinical Linkage models. The collaborative and participatory approach in LINKS illustrates an innovative evaluation framework utilizing EHRs and mixed methods research-generated data collection. TRIAL REGISTRATION: This study protocol was retrospectively registered, approved, and made available on Clinicaltrials.gov by NCT03787485 as of December 20, 2018.

A Health Information System for Scalable and Comprehensive Assessment of Well-Being: A Multidisciplinary Team Solution.

To improve the health and well-being of the medically underserved in a free clinic in Pittsburgh, Pennsylvania, a multidisciplinary team representing several health information management and information technology (IT) professionals, including faculty, students, researchers, and clinicians, created a novel IT system called imHealthy. The imHealthy system includes four critical components: a multidomain well-being questionnaire, a mobile app for data collection and tracking, a customization of an open-source electronic health record (EHR), and a data integration and well-being evaluation program leading to recommendations for personalized interventions to caregivers serving the medically underserved. This multidisciplinary team has worked closely on this project and finished critical components of the imHealthy system. Evaluations of these components will be conducted, and factors facilitating the design and adoption of the imHealthy system will be presented. The results from this research can serve as a model for free clinics with similar needs that identified by the research team in Cleveland, Indianapolis, Minnesota, Motor City, Orange County, San Diego, and St. Louis.

Current Scope and Challenges in Phenome-Wide Association Studies.

PURPOSE OF REVIEW: Over many decades, researchers have been designing studies to investigate the relationship between genotypes and phenotypes to gain an understanding about the effect of genetics on disease. Recently, a high-throughput approach called phenome-wide associations studies (PheWAS) have been extensively used to identify associations between genetic variants and many diseases and traits simultaneously. In this review, we describe the value of PheWAS along with methodological issues and challenges in interpretation for current applications of PheWAS. RECENT FINDINGS: PheWAS have uncovered a paradigm to identify new associations for genetic loci across many diseases. The application of PheWAS have been effective with phenotype data from electronic health records, epidemiological studies, and clinical trials data. SUMMARY: The key strength of a PheWAS is to identify the association of one or more genetic variants with multiple phenotypes, which can showcase interconnections among the phenotypes due to shared genetic associations. While the PheWAS approach appears promising, there are a number of challenges that need to be addressed to provide additional robustness to PheWAS findings.