Practice Guidelines for Continuous Pulse Oximetry Monitoring for Obstructive Sleep Apnea Patients

As the rate of obesity has increased in the United States to include approximately 40% of the adult population, there has been a corresponding rise in the number of patients with obstructive sleep apnea (OSA). The OSA population is at risk for adverse perioperative respiratory depression. Continuous pulse oximetry monitoring is indicated for these patients upon discharge from the recovery room into other treatment settings and when cared for by telemetry or by trained hospital staff in the patient\u27s room. The practice question was whether an evidence-based practice guideline could be developed to help ensure safe postoperative monitoring of patients with OSA on the medical-surgical units. Guided by the Iowa model as the framework, a 13-member team from respiratory, anesthesiology, and technology departments participated in the guideline development. Three members of the 13-member interdisciplinary team evaluated the guideline using the AGREE II tool with the highest level of agreement on 6 of 6 domains; 100% of the team members agreed to move the developed guideline to the relevant hospital quality improvement committees. Availability of an evidence-based practice guideline for hospital nursing staff on general medical units has the potential to ensure safe management of patients with OSA while achieving cost savings when higher level of care settings may be unavailable for the growing number of patients with OSA. If safely implemented, these guidelines could be adapted in other healthcare facilities to ensure optimal health outcomes for patients with OSA

Charting Past, Present, and Future Research in the Semantic Web and Interoperability

Huge advances in peer-to-peer systems and attempts to develop the semantic web have revealed a critical issue in information systems across multiple domains: the absence of semantic interoperability. Today, businesses operating in a digital environment require increased supply-chain automation, interoperability, and data governance. While research on the semantic web and interoperability has recently received much attention, a dearth of studies investigates the relationship between these two concepts in depth. To address this knowledge gap, the objective of this study is to conduct a review and bibliometric analysis of 3511 Scopus-registered papers on the semantic web and interoperability published over the past two decades. In addition, the publications were analyzed using a variety of bibliometric indicators, such as publication year, journal, authors, countries, and institutions. Keyword co-occurrence and co-citation networks were utilized to identify the primary research hotspots and group the relevant literature. The findings of the review and bibliometric analysis indicate the dominance of conference papers as a means of disseminating knowledge and the substantial contribution of developed nations to the semantic web field. In addition, the keyword co-occurrence network analysis reveals a significant emphasis on semantic web languages, sensors and computing, graphs and models, and linking and integration techniques. Based on the co-citation clustering, the Internet of Things, semantic web services, ontology mapping, building information modeling, bioinformatics, education and e-learning, and semantic web languages were identified as the primary themes contributing to the flow of knowledge and the growth of the semantic web and interoperability field. Overall, this review substantially contributes to the literature and increases scholars’ and practitioners’ awareness of the current knowledge composition and future research directions of the semantic web field. View Full-Tex