Working Group

AMIA CIS-WG Presents: The Informatics Paper Club of the Air VII

The Informatics Paper Club of the Air presented by the AMIA CIS-WG is a regularly scheduled Paper Club series that will address the gap in knowledge and performance by an ongoing review of literature and by exposing our clinical informaticists to evidence-based approaches and strategies with discussions centered on incorporating those strategies into their practices. 

Wrong-patient orders (placing the right order on the wrong patient) will be our theme for the next episodes. The following three papers will be discussed during this webinar:

The DIGITizE Action Collaborative: Working together to expand clinical IT support for genetics

Ultimately the genetics community will need to rely on electronic health records (EHRs) to make the benefits of genetics widely accessible to the patient population. Clinicians will require clear, real-time updated displays conveying the implications of a patient's genetic results. They will also need various forms of automated clinical decision support (CDS) to ensure they apply these results properly over time. Researchers will also require mechanisms that enable them to access clinical genetic data in a manner that protects patient privacy.

AMIA CIS-WG Presents: The Informatics Paper Club of the Air VI

The Informatics Paper Club of the Air presented by the AMIA CIS-WG is a regularly scheduled Journal Club series that will address the gap in knowledge and performance by an ongoing review of literature and by exposing our clinical informaticists to evidence-based approaches and strategies with discussions centered on incorporating those strategies into their practices. 

Wrong-patient orders (placing the right order on the wrong patient) will be our theme for the next episodes. The following two papers will be discussed during this webinar:

CIS-WG Presents: The Informatics Paper Club of the Air V

The Informatics Paper Club of the Air presented by the AMIA CIS-WG is a regularly scheduled Journal Club series that will address the gap in knowledge and performance by an ongoing review of literature and by exposing our clinical informaticists to evidence-based approaches and strategies with discussions centered on incorporating those strategies into their practices. 

Wrong-patient orders (placing the right order on the wrong patient) will be our theme for the next episodes. The following three papers will be discussed during this webinar:

Beyond Accuracy: Creating interoperable and scalable text-mining services for accelerating discovery

The explosion of biomedical big data and information in the past decade or so has created new opportunities for discoveries to improve the treatment and prevention of human diseases. But the large body of knowledge—mostly exists as free text in journal articles for humans to read—presents a grand new challenge: individual scientists around the world are increasingly finding themselves overwhelmed by the sheer volume of research literature and are struggling to keep up to date and to make sense of this wealth of textual information.

AMIA CIS-WG Presents: The Informatics Paper Club of the Air IV

The Informatics Paper Club of the Air presented by the AMIA CIS-WG is a regularly scheduled Journal Club series that will address the gap in knowledge and performance by an ongoing review of literature and by exposing our clinical informaticists to evidence-based approaches and strategies with discussions centered on incorporating those strategies into their practices. 

Wrong-patient orders (placing the right order on the wrong patient) will be our theme for the next episode. We will start with the following three studies:

Ontology structured dental records and their analysis using Semantic Web technologies

Structured data for health records is notoriously difficult to manage and share because of the wide variety of representations chosen and the lack of transparency of proprietary systems. Here I demonstrate a principled approach to representation based on the ontological realism and practices developed in the Open Biological/Biomedical Ontology community (OBO). As an example we take twelve years of private dental practice data and translate it into OWL(Ontology Web Language) using OBO Foundry  principles.

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