Reply to this post giving giving advantages

Reply to this post giving giving advantages of applied clinical informatics. This week I located several articles for the week eight project. The first article is located in Applied Clinical Informatics, titled Evaluation of secure messaging applications for a healthcare system: A case study. This article discusses a study performed to evaluate the security of text messages among staff. The was completed at The University of Washington Medicine (UW Medicine), which employs 27,549 people, including 4,502 clinical faculty members and 4,470 students and trainees (Liu et al., 2019). Harborview Medical Institution (the county hospital), Northwest Hospital and Medical Center (a community hospital), University of Washington Medical Center (an academic medical center), and Valley Medical Center (another community hospital) are among its four hospitals (2019). It also has an ambulatory clinic network and several clinical affiliations. Epic is UW Medicine’s outpatient electronic health record (EHR), while Cerner is their inpatient EHR. Each year, these hospitals accept around 63,000 patients and have approximately 1,500 inpatient beds (2019). The study evaluated 19 secure messaging systems and placed them in one of three tiers based on the necessary features to ensure that patient information remains private under HIPPA laws. Researchers used a set of ten questions along with a list of essential and secondary requirements the service must offer. The second article is in AMAI Annual Symposium Proceedings Archive titled To text or not to text? That is the . This report presents preliminary findings from the Missouri Quality Improvement Initiative, a national demonstration project (MOQI). MOQI aimed to minimize needless hospitalizations by using APRNs to model appropriate choices, instill evidence-based practices, and increase communication among nursing home personnel (Alexander et al., 2021). The article is a content analysis of text messages sent and received via Mediprocity, a secure, password-protected, encrypted mobile text messaging network. Over six months (January 1-June 30, 2018), 15 APRNs and a PhD-RN project supervisor worked in 16 nursing homes to produce text messages. During the 6-month data-collecting period, 8,946 text messages were recorded, coded, and analyzed. Out of one thousand eighteen sent messages, 7,928 received messages in the data, the most often sent and received communications were concerning patient updates (Alexander et al., 2021). Messages verifying information were the second most prevalent communication (2021). I usually have a hard time finding what I need in the school library; therefore, I use Google Scholar for my research. I typically find most of what I need on PubMed or the National Library of Medicine. I have also determined that sometimes changing the wording when searching will bring up more articles. SCIENCE HEALTH SCIENCE NURSING NURSING BS N494

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