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There is a lack of recommended models for clinical informatics (CI) governance that can facilitate successful health information technology implementation.

Currently, the processes for harmonizing and extending standards by leveraging the knowledge within local documentation artifacts are not well described. We describe a collaborative project to develop common information models, terminology bindings, and term definitions based on nursing documentation systems, and carry the findings through to the adoption in standards development organizations (SDOs) and technical implementations in clinical applications.

For many literature review tasks, including systematic review (SR) and other aspects of evidence-based medicine, it is important to know whether an article describes a randomized controlled trial (RCT). Current manual annotation is not complete or flexible enough for the SR process. In this work, highly accurate machine learning predictive models were built that include confidence predictions of whether an article is an RCT.

Develop and evaluate a foundational oncology-specific standard for the communication and coordination of care throughout the cancer journey, with early-stage breast cancer as the use case.

The healthcare landscape is changing, driven by innovative care models and the emergence of new roles that are inter-professional in nature. Currently, the HL7/LOINC Document Ontology (DO) aids the use and exchange of clinical documents using a multi-axis structure of document attributes for Kind of Document, Setting, Role, Subject Matter Domain, and Type of Service. In this study, the adequacy of the Role axis for representing the type of author [...]

Poison control centers (PCCs) routinely collaborate with emergency departments (EDs) to provide care for poison-exposed patients. During this process, a significant amount of information is exchanged between EDs and PCCs via telephone, leading to important inefficiencies and safety vulnerabilities. In the present work, we identified and assessed a set of data standards to enable a standards-based health information exchange process between EDs and PCCs.

Standards terminologies may be large and complex, making their quality assurance challenging. Some terminology quality assurance (TQA) methodologies are based on abstraction networks (AbNs), compact terminology summaries. We have tested AbNs and the performance of related TQA methodologies on small terminology hierarchies. However, some standards terminologies, for example, SNOMED, are composed of very large hierarchies. Scaling AbN TQA techniques to such hierarchies poses a significant challenge. We present a scalable [...]

The American Recovery and Reinvestment Act (ARRA) of 2009 clearly articulated the central role that health information technology (HIT) standards would play in improving healthcare quality, safety, and efficiency through the meaningful use of certified, standards based, electronic health record (EHR) technology. In 2012, the Office of the National Coordinator (ONC) asked the Nationwide Health Information Network (NwHIN) Power Team of the Health Information Technology Standards Committee (HITSC) to develop [...]