Development and validation of the early warning system scores ontology.

Background: Clinical early warning scoring systems, have improved patient outcomes in a range of specializations and global contexts. These systems are used to predict patient deterioration. A multitude of patient-level physiological decompensation data has been made available through the widespread integration of early warning scoring systems within EHRs across national and international health care organizations.

Linguistic and ontological challenges of multiple domains contributing to transformed health ecosystems.

This paper provides an overview of current linguistic and ontological challenges which have to be met in order to provide full support to the transformation of health ecosystems in order to meet precision medicine (5 PM) standards. It highlights both standardization and interoperability aspects regarding formal, controlled representations of clinical and research data, requirements for smart support to produce and encode content in a way that humans and machines can understand and process it. Starting from the current text-centered communication practices in healthcare and biomedical research, it addresses the state of the art in information extraction using natural language processing (NLP).

Experiences with developing and implementing a pilot classroom through synchronous meetings via zoom.

Background: The murder of George Floyd created national outcry that echoed down to national institutions, including universities and academic systems to take a hard look at systematic and systemic racism in higher education. This motivated the creation of a fear and tension-minimizing, curricular offering, " collaboratively engaging students, staff, and faculty in matters of diversity, equity, and inclusion (DEI) in the Department of Health Outcomes and Biomedical Informatics at the University of Florida.

Methods: A qualitative design was employed assessing narrative feedback from participants during the Fall semester of 2020.

Repeatable enhancement of healthcare data with social determinants of health.

Background: Social and behavioral aspects of our lives significantly impact our health, yet minimal social determinants of health (SDOH) data elements are collected in the healthcare system.

Methods: In this proof-of-concept study we developed a repeatable SDOH enrichment and integration process to incorporate dynamically evolving SDOH domain concepts from consumers into clinical data. This process included SDOH mapping, linking compiled consumer data to patient records in Electronic Health Records, data quality analysis and preprocessing, and storage.

Assessing the Need for Semantic Data Integration for Surgical Biobanks-A Knowledge Representation Perspective.

To improve patient outcomes after trauma, the need to decrypt the post-traumatic immune response has been identified. One prerequisite to drive advancement in understanding that domain is the implementation of surgical biobanks. This paper focuses on the outcomes of patients with one of two diagnoses: post-traumatic arthritis and osteomyelitis.

Examining Healthcare Utilization Patterns of Elderly Middle-Aged Adults in the United States.

Elderly patients, aged 65 or older, make up 13.5% of the U.S.

Prevalence of prediabetes in England from 2003 to 2011: population-based, cross-sectional study.

Objective: Prediabetes is a high-risk state for developing diabetes and associated complications. The purpose of this paper was to report trends in prevalence of prediabetes for individuals aged 16 and older in England without previously diagnosed diabetes.

Setting: Data collected by the Health Survey for England (HSE) in England in the years 2003, 2006, 2009 and 2011.