This paper describes an on-going research project examining currently used processes in both hospitals and EHR vendor companies for identifying, prioritizing, and mitigating electronic health record (EHR) software issues, and usability issues, that may compromise patient safety as they arise in the implemented or legacy EHR system. This on-going project includes 3 interviews with CMIOs at hospitals and 3 interviews with EHR vendors. Next steps include surveying both groups. The project can be considered as part of a learning health system (LHS) approach in that it seeks to identify best practices in terms of the process for addressing these EHR issues. The LHS approach seeks to improve long term outcomes in health care by identifying optimal delivery processes and to do so in a systematic, rather than a haphazard way. (Friedman & Rigby, 2013).

This pilot study extends nursing’s historical efforts to prevent medication errors by using a database research approach to better understand why medication errors persist in acute care settings. The pilot study was conducted 3 units and float pool nurses. Data were analyzed using descriptive statistics and multilevel regression modeling.

With advances in natural language processing (NLP), machine learning (ML) and artificial intelligence (AI), there are new opportunities for improving findability among existing public-facing resources. This project seeks to inform findability, especially for multiple chronic condition (MCC) resources, by describing current search capabilities and limitations across several of AHRQ’s publicly available domains and by identifying and piloting a novel NLP/ML approach to make suggested improvements. This work intentionally engages with the overlap of numerous disciplines including information extraction, information retrieval, data and text mining, knowledge management, and best practices in health care. We are looking to apply this work across all domains but will start by focusing on specific AHRQ domains. Given limited API access, we scraped the content of digital.ahrq.gov and the patient centered medical home (PCMH) resources and performed automated search using a set of related terms that align with an MCC scenario: hypertension, osteoarthritis, and chronic kidney disease. We obtained results confirming the limitations of existing search.

In order to perform research data triangulation, there were three main sources of data: 1. External/Internal Survey of 15 Library Directors (5 in the Navy; 10 from Government/Universities), 2. Literature Review/Industry Best Practices, and 3. Navy Lab Interviews (Ten) . The results include "Harvest” the personal collections of classified and other materials (reach out to the end users to put documents in library repository); Need to modernize our workflow; Having research material that can be easily accessed for desktops; Need to share information and knowledge; Focus on the needs of your community and evolve with those needs.

Poster discussing practical methods for ensuring the quality of descriptive metadata associated with linguistic datasets in language archive deposits. Digital language archives are valuable tools for facilitating language revitalization, providing data on lesser-known languages, and supporting reproducibility of research and development of linguistic theory, though their potential remains unrealized as the data available in language archives are rarely accessed by linguists or language communities. Reasons for this under-utilization are the issues with data standardization and metadata quality. Including basic grammatical and typological information would allow wider audiences to reach the material.

This poster introduces visual thinking for art librarians and artists, and it looks at different techniques to promote creativity, conceptualize ideas, solve problems, and come up with new insights. It was presented virtually for the Art Libraries Society of North America's 48th Annual Conference held on July 29-31, 2020.

Poster discussing the role of ethnicity in the relationship between posttraumatic stress disorder (PTSD) and suicidality. Research indicates an increased risk of suicide and suicidal behavior among individuals with PTSD. Latinx groups, in particular, have lower rates of suicide injury death in comparison to non-Latinx groups. These findings do not explain increased suicidality in non-Latinx clients, but is congruent with the Latinx health paradox, the contradictory finding of better health outcomes for Latinx despite known additional disadvantages.

Poster exploring the role of income on depression severity among college atmosphere. The hypothesis that students that reported being low income will also report more depressive symptoms. This was partially supported, but students from the middle income range reported more depressive symptoms that both low and high income students.

Poster examining if gender differences exist for two common anxiety symptom categories: mood (e.g. nervousness) and somatic (e.g. sweating). A multivariate analysis of variance (MANOVA) was conducted to examine gender differences in anxiety symptomology and yielded no significant differences in anxiety severity based on gender. A pattern was present of more somatic symptoms than mood symptoms for both males and females, and males reported lower rates of anxiety symptomology combined when compared to women.

Poster exploring the representation of race/ethnicity, disability, and gender identification of doctoral psychology students in the U.S. compared to national population figures. It was presented at the 2020 Midwinter Meeting of the Council of University Directors of Clinical Psychology held on January 17-18, 2020 in Austin, Texas.

Poster on study that gathered an updated assessment of student perceptions' of diversity training and climate. It was presented at the 2020 Midwinter Meeting of the Council of University Directors of Clinical Psychology held on January 17-18, 2020 in Austin, Texas.

This poster presents preliminary results from a survey of library employees on their experiences with toxic workplaces in libraries. The poster includes the most-reported toxic behaviors, advice for employees and employers on how to manage or avoid a toxic workplace environment. It was presented at the Electronic Resources & Libraries 2020 conference held in Austin, Texas.

This poster highlights a project undertaken at the University of Houston by the Gerald D. Hines College of Architecture and Design to select and transition records into the University's archives. The relationship between colleges or department and the University archives is examined, and the workflows necessary to ensure consistency through the transfer. The poster was created as part of coursework for INFO 5375 Archival Appraisal in Spring 2020 at the University of North Texas.

This poster introduces the controlled vocabulary of genre terms used by the UNT Libraries to enhance user access to a large collection of tabletop games. It was presented at the Online Audiovisual Catalogers (OLAC) 2020 conference which was held virtually.

This poster applies the concept of an online community of practice in an effort to suggest how librarians can join together as a community to learn and to share ideas, strategies, and tools related to effective teaching and learning. It was presented at The Exchange an Association for Library Collections and Technical Services (ALCTS)/Library and Information Technology Association (LITA)/Library Leadership and Management (LLAMA) Collaboration held virtually on May 4, 6, & 8, 2020

This poster presents a Peer-to-Peer Embedded Reference program created by the UNT Libraries. The creation and goals of the program are highlighted along with challenges and future plans. It was intended to be presented at the Texas Library Association 2020 conference, but the event was cancelled because of COVID-19 concerns.

This poster focuses on how to approach collaborative research. Learn how to choose team members, facilitate collaboration and organize all the elements of a project to create a successful publication or presentation. Also included are administrative responsibilities, thoughts on handling problems, examples of delineating responsibilities. It was presented at The Exchange an Association for Library Collections and Technical Services (ALCTS)/Library and Information Technology Association (LITA)/Library Leadership and Management (LLAMA) Collaboration held virtually on May 4, 6, & 8, 2020.

This poster presents the Scholarly Impact Service at the University of North Texas from its start in the summer of 2017 to its more established position by October 2020. The overview includes some of the resources used by the team of librarians, including their library guide, consultation checklist, and promotional flyer. It was presented at the Bibliometrics and Research Assessment Symposium which was held virtually by the National Institutes of Health Library on October 7-9, 2020.

This poster discusses the creation and value of UNT Libraries Serials Transparency List that contains the subscription pricing information they receive from publishers. The list promotes transparency in journal pricing and informed decision-making in collection development. It was presented at The Exchange an Association for Library Collections and Technical Services (ALCTS)/Library and Information Technology Association (LITA)/Library Leadership and Management (LLAMA) Collaboration held virtually on May 4, 6, & 8, 2020.

Twitter is one of the major social media platforms highlighting public opinion. With over 330 million users across the globe, Twitter provides insights into global sentiments on many topics. One can estimate global sentiments towards certain events relating to COVID-19 by analyzing the most common phrases and their related sentiment scores from Twitter API data. This project has compiled the most used trigrams in tweets relating to COVID-19 to calculate sentiment scores for the period from March 22 to August 7, 2020. Another goal of the project is to optimize data collection from Twitter API. Twitter limits access to tweet contents to 900 requests per 15 minutes for unpaid API users. For student data scientists, paying for increased API usage is financially infeasible. So, to deal with the rate limit, the project has written functions using the Tweepy python library to collect Twitter API data. The Pandas library has also been used to sample 139000 tweets from over 300 million. The IEEE Dataset provided sentiment scores for the full population. So, to check the integrity of my sample, I performed a Pearson correlation test between the full dataset and sample data, and got 0.84, showing the sample is representative of …