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Objective: We analyzed the described resolutions of patient safety event reports related to health information technology to determine how healthcare systems responded to these events, recognizing that certain types of solutions such as training and education have a limited impact. Methods: A large database of over 1.7 million patient safety event reports was filtered to include those identified by the reporter as being related to health information technology. The resolution text was manually reviewed and coded into one or more of four categories: No Resolution, Training/Education, Policy, Information Technology-oriented solution. Results: Most events (64%) did not include a resolution. Of those that did, Training/Education was the most commonly reported single or component of a multi-pronged solution (55%), followed by Information Technology (45%). Only 59 events (6% of resolutions) described more than one method of resolution. Conclusion: Health information technology-related patient safety event resolutions most often described a solution that suggested additional training or education for healthcare staff, despite the recognized limitations of training and education in resolving these events. Few events suggested multiple resolution methods. Ensuring health information technology-related events are resolved and incorporate effective solutions should be a continued focus area for healthcare systems. [ABSTRACT FROM AUTHOR]

Congenital hypofibrinogenemia is a rare coagulation disorder characterized by a deficiency in fibrinogen protein, which is critical to the normal coagulation process. This hematological disorder can go undiagnosed until an event leads to prolonged bleeding. The purposes of this report were to describe an incidental diagnosis of congenital hypofibrinogenemia after a dental procedure, discuss the importance of recognizing coagulopathies on the delivery of dental care, examine the multi-disciplinary clinical management of prolonged bleeding after a dental procedure, and evaluate the challenges health care practitioners may encounter when obtaining a thorough medical history. [ABSTRACT FROM AUTHOR]

The exchange of scientific datasets online and their subsequent use by service-centric applications requires semantic description of the data objects, or features, being transacted. This is particularly the case in the Earth Systems Sciences. Semantic repositories provide a partial answer to generating rich content. Ideally these repositories should be founded in a framework that permits cross-referencing between independently established semantic data-stores and which provides for a loose coupling between repositories and the agents or clients that will use them. We investigated the applicability of using an ISO 19110-based Feature Catalogue as a cross-domain, semantic repository for various Earth Systems Science communities of interest. Our aim was to develop a repository and a set of services capable of providing semantic content for consumption by smart clients. The constraint applied throughout the research was to develop a set of tools that would present a very low uptake barrier for programmers and domain specialists alike. To meet this challenge, we used Representational State Transfer (REST)-based services to expose content from an enhanced implementation of an ISO 19110-based Feature Catalogue. This article describes how the ISO 19110 conceptual model was augmented during implementation to cater for the requirements of two large multi-disciplinary science groups: the Scientific Committee on Antarctic Research and the Australian Ocean Data Network. The reasons for opting for a REST-based service pattern are discussed and the three REST service types that were developed are described. [ABSTRACT FROM AUTHOR]

The article focuses on Task2Heart, a system developed to integrate near real-time HR with in-situ time-motion observations. It discusses its use in the exploration of emergency physician (EP) heart rate (HR) in-situ. It mentions that this platform provides opportunity to leverage advances in short term and ultra short term heart rate variability analysis.

The southern boundary of prehispanic farming in South America occurs in central Mendoza Province, Argentina at approximately 34 degrees south latitude. Archaeological evidence of farming includes the recovery of macrobotanical remains of cultigens and isotopic chemistry of human bone. Since the 1990s, archaeologists have also hypothesized that the llama (Lama glama), a domesticated South American camelid, was also herded near the southern boundary of prehispanic farming. The remains of a wild congeneric camelid, the guanaco (Lama guanicoe), however, are common in archaeological sites throughout Mendoza Province. It is difficult to distinguish bones of the domestic llama from wild guanaco in terms of osteological morphology, and therefore, claims that llama were in geographic areas where guanaco were also present based on osteometric analysis alone remain equivocal. A recent study, for example, claimed that twenty-five percent of the camelid remains from the high elevation Andes site of Laguna del Diamante S4 were identified based on osteometric evidence as domestic llama, but guanaco are also a likely candidate since the two species overlap in size. We test the hypothesis that domesticated camelids occurred in prehispanic, southern Mendoza through analysis of ancient DNA. We generated whole mitochondrial genome datasets from 41 samples from southern Mendoza late Holocene archaeological sites, located between 450 and 3400 meters above sea level (masl). All camelid samples from those sites were identified as guanaco; thus, we have no evidence to support the hypothesis that the domestic llama occurred in prehispanic southern Mendoza. [ABSTRACT FROM AUTHOR]

Introduction: Understanding and managing clinician workload is important for clinician (nurses, physicians and advanced practice providers) occupational health as well as patient safety. Efforts have been made to develop strategies for managing clinician workload by improving patient assignment. The goal of the current study is to use electronic health record (EHR) data to predict the amount of work that individual patients contribute to clinician workload (patient-related workload).Methods: One month of EHR data was retrieved from an emergency department (ED). A list of workload indicators and five potential workload proxies were extracted from the data. Linear regression and four machine learning classification algorithms were utilized to model the relationship between the indicators and the proxies.Results: Linear regression proved that the indicators explained a substantial amount of variance of the proxies (four out of five proxies were modeled with R2 > 0.80). Classification algorithms also showed success in classifying a patient as having high or low task demand based on data from early in the ED visit (e.g. 80 % accurate binary classification with data from the first hour).Conclusion: The main contribution of this study is demonstrating the potential of using EHR data to predict patient-related workload automatically in the ED. The predicted workload can potentially help in managing clinician workload by supporting decisions around the assignment of new patients to providers. Future work should focus on identifying the relationship between workload proxies and actual workload, as well as improving prediction performance of regression and multi-class classification. [ABSTRACT FROM AUTHOR]

Zooarchaeologists have relied upon various approaches to study the impacts of harvest pressure and environmental change on ungulate populations, such as analysis of prey mortality patterns and morphometrics. Analysis of ancient DNA from ungulate bones and bone fragments from archaeological sites provides an additional means for studying prey population dynamics related to environmental change and human ecology over time. In this paper, we study the population history of the largest game animal in northwest Patagonia, the guanaco (Lama guanicoe). Our study relies on the use of Bayesian Skyline Plots to determine shifts in estimated guanaco population size based on analysis of ancient mitochondrial DNA. Our results indicate that hunting by humans in addition to increases in aridity during the late Holocene led to a decline in the guanaco population in the region, which is in contrast to the harvest and environmental history in other parts of Patagonia (south of our study area). Using a weight of evidence approach that includes proxies of environmental change, human population dynamics, exploitation of guanacos, and estimates of guanaco population size, we argue that the late Holocene shift in guanaco population size was a driving factor in subsistence and settlement change related to resource intensification during the late Holocene in northwest Patagonia. • Demographic reconstruction of guanaco population dynamics during the Holocene. •Estimated population size is based on ancient DNA analysis through Next Generation Sequencing. •There are key changes in guanaco population size during the late Holocene. •Late Holocene guanaco population relates to increased hunting pressure in northwest Patagonia. [ABSTRACT FROM AUTHOR]