Making Science Computable Using Evidence-Based Medicine on Fast Healthcare Interoperability Resources: Standards Development Project.

Background: Evidence-based medicine (EBM) has the potential to improve health outcomes, but EBM has not been widely integrated into the systems used for research or clinical decision-making. There has not been a scalable and reusable computer-readable standard for distributing research results and synthesized evidence among creators, implementers, and the ultimate users of that evidence. Evidence that is more rapidly updated, synthesized, disseminated, and implemented would improve both the delivery of EBM and evidence-based health care policy.

Striking a match between FHIR-based patient data and FHIR-based eligibility criteria.

Inputs And Outputs: The Strike-a-Match Function, written in JavaScript version ES6+, accepts the input of two datasets (one dataset defining eligibility criteria for research studies or clinical decision support, and one dataset defining characteristics for an individual patient). It returns an output signaling whether the patient characteristics are a match for the eligibility criteria.

Purpose: Ultimately, such a system will play a "matchmaker" role in facilitating point-of-care recognition of patient-specific clinical decision support.

Making science computable: Developing code systems for statistics, study design, and risk of bias.

The COVID-19 crisis led a group of scientific and informatics experts to accelerate development of an infrastructure for electronic data exchange for the identification, processing, and reporting of scientific findings. The Fast Healthcare Interoperability Resources (FHIR®) standard which is overcoming the interoperability problems in health information exchange was extended to evidence-based medicine (EBM) knowledge with the EBMonFHIR project. A 13-step Code System Development Protocol was created in September 2020 to support global development of terminologies for exchange of scientific evidence.

Interventions for Supporting and Assessing Science Writing Communication: Cases of Asian English Language Learners.

In seeking to support diversity, one challenge lies in adequately supporting and assessing science cognitions in a writing-intensive Biochemistry laboratory course when highly engaged Asian English language learners (Asian ELLs) struggle to communicate and make novice errors in English. Because they may understand advanced science concepts, but are not being adequately assessed for their deeper scientific understanding, we sought and examined interventions. We hypothesized that inquiry strategies, scaffolded learning through peer evaluation, and individualized tools that build writing communication skills would increase confidence.

Pseudomonas aeruginosa: host defence in lung diseases.

Lung infections caused by the opportunistic pathogen Pseudomonas aeruginosa can present as a spectrum of clinical entities from a rapidly fatal pneumonia in a neutropenic patient to a multi-decade bronchitis in patients with cystic fibrosis. P. aeruginosa is ubiquitous in our environment, and one of the most versatile pathogens studied, capable of infecting a number of diverse life forms and surviving harsh environmental factors.