Catalog

A fishbone diagram helps team members visually diagram a problem or condition's root causes, allowing them to truly diagnose the problem rather than focusing on symptoms.

A Fishbone document is used to explore the potential root causes of a problem.

Allows public health laboratories to assess strengths and gaps in informatics capability by addressing 19 critical operational areas

The interoperability of data, and delivery of a consistent level of data quality, are critical factors in the National Digital Health Strategy – both for quality of immediate care, and for the development of longer-term health strategies. This is the first of a three-part webinar series looking at interoperability and clinical terminologies, with a particular focus on the Fast Healthcare Interoperability Resources (FHIR), a key standard for interoperable data in Australia.

This course provides information on the role and processes of laboratory informatics through exploration of the “life of a result” as data and results move through the laboratory and outside the laboratory. Topics covered include characterization of the recipients of laboratory data, data and results storage, and the communication of data and results (especially electronically) to various stakeholders

This basic-level eLearning course provides an overview of the Laboratory Information Management System (LIMS) – also known as a Laboratory Information System – and other information systems that play a key role in laboratory informatics. Included in the course are explorations of LIMS functionality, the role of the LIMS in interoperability, various regulations and standards regarding information systems and laboratory data, and the steps in implementing a LIMS.

Guidance for initiating and sustaining this project and outlines steps needed to set up electronic messaging with partners

This course provides information on the role and processes of laboratory informatics through exploration of the “life of a specimen” as a specimen moves through the laboratory. Topics covered include the roles of various personnel in the laboratory informatics enterprise, data relationships, data quality, and standards, and the generation and flow of information as a specimen progresses through the pre-analytic, analytic, and post-analytic phases.