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Abstract: This quality improvement project demonstrates that nursing leadership with Project Re-Engineered Discharge can effect change in the discharge process and improve patient outcomes., (Copyright © 2024 Association of Rehabilitation Nurses.)

Experimental data about gene functions curated from the primary literature have enormous value for research scientists in understanding biology. Using the Gene Ontology (GO), manual curation by experts has provided an important resource for studying gene function, especially within model organisms. Unprecedented expansion of the scientific literature and validation of the predicted proteins have increased both data value and the challenges of keeping pace. Capturing literature-based functional annotations is limited by the ability of biocurators to handle the massive and rapidly growing scientific literature. Within the community-oriented wiki framework for GO annotation called the Gene Ontology Normal Usage Tracking System (GONUTS), we describe an approach to expand biocuration through crowdsourcing with undergraduates. This multiplies the number of high-quality annotations in international databases, enriches our coverage of the literature on normal gene function, and pushes the field in new directions. From an intercollegiate competition judged by experienced biocurators, Community Assessment of Community Annotation with Ontologies (CACAO), we have contributed nearly 5,000 literature-based annotations. Many of those annotations are to organisms not currently well-represented within GO. Over a 10-year history, our community contributors have spurred changes to the ontology not traditionally covered by professional biocurators. The CACAO principle of relying on community members to participate in and shape the future of biocuration in GO is a powerful and scalable model used to promote the scientific enterprise. It also provides undergraduate students with a unique and enriching introduction to critical reading of primary literature and acquisition of marketable skills., Competing Interests: The authors have declared that no competing interests exist.

In 2010, nurse educators at one health care facility implemented a new program that emphasized placing new graduates in specialty areas, including the hemodialysis unit, the gastroenterology unit, and the OR. Managers in the OR faced staffing challenges because of the difficulty in recruiting and retaining experienced perioperative nurses and the expected retirement of a significant number of staff members. Surgical services managers agreed to participate in the new graduate program and decided to use AORN's Periop 101™ course and a series of monthly simulation training sessions to supplement the program and provide recently graduated nurses with a strong perioperative nursing foundation. In three years, a total of nine newly graduated RNs successfully completed the program. The three-year retention rate was 78%., (Copyright © 2015 AORN, Inc. Published by Elsevier Inc. All rights reserved.)

Heart failure (HF) is a new epidemic in the United States. Advanced HF is a fatal illness affecting our veterans and causing frequent hospital readmissions in both the Veterans Affairs hospital and throughout the nation's healthcare system. The clinician's obligation is to offer the best alternatives in the care of chronic illness. The Veterans Affairs healthcare system has a comprehensive approach to treating HF. The comprehensive implementation of home telehealth, clinical informatics, and disease management supports the care of patients with advanced HF.

The Gene Ontology (GO) Consortium (GOC, http://www.geneontology.org) is a community-based bioinformatics resource that classifies gene product function through the use of structured, controlled vocabularies. Over the past year, the GOC has implemented several processes to increase the quantity, quality and specificity of GO annotations. First, the number of manual, literature-based annotations has grown at an increasing rate. Second, as a result of a new 'phylogenetic annotation' process, manually reviewed, homology-based annotations are becoming available for a broad range of species. Third, the quality of GO annotations has been improved through a streamlined process for, and automated quality checks of, GO annotations deposited by different annotation groups. Fourth, the consistency and correctness of the ontology itself has increased by using automated reasoning tools. Finally, the GO has been expanded not only to cover new areas of biology through focused interaction with experts, but also to capture greater specificity in all areas of the ontology using tools for adding new combinatorial terms. The GOC works closely with other ontology developers to support integrated use of terminologies. The GOC supports its user community through the use of e-mail lists, social media and web-based resources.